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Cheng W, Xu Y, Jiang H, Li J, Hou Z, Meng H, Wang W, Chai C, Jiang J. SARS-CoV-2 Infection, Hospitalization, and Associated Factors Among People Living With HIV in Southeastern China From December 2022 to February 2023: Cross-Sectional Survey. JMIR Public Health Surveill 2024; 10:e51449. [PMID: 38630534 PMCID: PMC11025603 DOI: 10.2196/51449] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Revised: 01/07/2024] [Accepted: 03/12/2024] [Indexed: 04/19/2024] Open
Abstract
BACKGROUND Limited studies have explored the impact of the Omicron variant on SARS-CoV-2 infection, hospitalization, and associated factors among people living with HIV, particularly in China. The adjustment of preventive policies since December 2022 in China presents an opportunity to evaluate the real-world factors influencing SARS-CoV-2 infection and related hospitalization among people living with HIV. OBJECTIVE This study aimed to investigate SARS-CoV-2 infection, hospitalization rates, and associated factors among people living with HIV following the adjustment of preventive policies from December 2022 to February 2023 in southeastern China. METHODS A cross-sectional telephone or web-based survey was conducted among people living with HIV in 5 cities in southeastern China from December 2022 to February 2023. Demographic information, SARS-CoV-2 infection and related hospitalization, and HIV-specific characteristics were collected from existing databases and special investigations. Multivariate logistic regression analyses were conducted to determine the associated factors for infection and hospitalization rates of SARS-CoV-2. Additionally, subgroup analyses were conducted for the association between vaccination and infection across different vaccination statuses and time since the last vaccination. RESULTS Among people living with HIV with a COVID-19 testing history, the SARS-CoV-2 infection rate was 67.13% (95% CI 65.81%-68.13%), whereas the hospitalization rate was 0.71% (95% CI 0.46%-0.97%). Factors such as age, latest CD4 cell count, latest HIV viral load, and transmission route were found to be associated with SARS-CoV-2 infection, while age, cancer, latest CD4 cell count, and latest HIV viral load were associated with SARS-CoV-2 hospitalization. In terms of SARS-CoV-2 vaccination, compared to unvaccinated people living with HIV, there was a lower infection rate among those who had been vaccinated for <3 months in the booster vaccination group (adjusted odds ratio [aOR] 0.72, 95% CI 0.53-0.98; P=.04); and there was also a lower risk of hospitalization among people living with HIV who had received vaccination in the past 6-12 months (aOR 0.33, 95% CI 0.14-0.81; P=.02) and more than 12 months ago (aOR 0.22, 95% CI 0.07-0.72; P=.01). CONCLUSIONS After the ease of prevention and control measures in China, we observed a high SARS-CoV-2 infection rate but a low hospitalization rate. General risk factors, such as higher age and vaccination status, and HIV-related parameters, such as the latest CD4 cell count and HIV viral load, were associated with SARS-CoV-2 infection and hospitalization. A booster vaccination campaign for booster doses should be considered among people living with HIV in confronting possible COVID-19 epidemic emergencies in the near future.
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Affiliation(s)
- Wei Cheng
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Yun Xu
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Haibo Jiang
- Ningbo Center for Disease Control and Prevention, Ningbo, China
| | - Jun Li
- Wenzhou Center for Disease Control and Prevention, Wenzhou, China
| | - Zhigang Hou
- Jiaxing Center for Disease Control and Prevention, Jiaxing, China
| | - Haibin Meng
- Shaoxing Center for Disease Control and Prevention, Shaoxing, China
| | - Wei Wang
- Quzhou Center for Disease Control and Prevention, Quzhou, China
| | - Chengliang Chai
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Jianmin Jiang
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
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Huang G, Cheng W, Xu Y, Yang J, Jiang J, Pan X, Zhou X, Jiang J, Chai C. Spatiotemporal Pattern and Its Determinants for Newly Reported HIV/AIDS Among Older Adults in Eastern China From 2004 to 2021: Retrospective Analysis Study. JMIR Public Health Surveill 2024; 10:e51172. [PMID: 38349727 PMCID: PMC10900086 DOI: 10.2196/51172] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2023] [Revised: 09/08/2023] [Accepted: 12/14/2023] [Indexed: 02/15/2024] Open
Abstract
BACKGROUND In recent years, the number and proportion of newly reported HIV/AIDS cases among older adults have increased dramatically. However, research on the pattern of temporal and spatial changes in newly reported HIV/AIDS among older adults remains limited. OBJECTIVE This study analyzed the spatial and temporal distribution of HIV/AIDS cases and its influencing factors among older adults in Eastern China from 2004 to 2021, with the goal of improving HIV/AIDS prevention and intervention. METHODS We extracted data on newly reported HIV/AIDS cases between 2004 and 2021 from a case-reporting system and used a Joinpoint regression model and an age-period-cohort model to analyze the temporal trends in HIV/AIDS prevalence. Spatial autocorrelation and geographically weighted regression models were used for spatial aggregation and influence factor analysis. RESULTS A total of 12,376 participants with HIV/AIDS were included in the study. The newly reported HIV infections among older adults increased from 0.13 cases per 100,000 people in 2004 to 7.00 cases per 100,000 people in 2021. The average annual percent change in newly reported HIV infections was 28.0% (95% CI -21.6% to 34.8%). The results of the age-period-cohort model showed that age, period, and cohort factors affected the newly reported HIV infections among older adults. The newly reported HIV/AIDS cases among men who have sex with men (MSM) had spatial clustering, and the hotspots were mainly concentrated in Hangzhou. The disposable income of urban residents, illiteracy rate among people aged 15 years or older, and number of hospital beds per 1000 residents showed a positive association with the newly reported HIV infections among older MSM in the Zhejiang province. CONCLUSIONS HIV/AIDS among older adults showed an increasing trend and was influenced by age, period, and cohort effects. Older MSM with HIV/AIDS showed regional clustering and was associated with factors such as the disposable income of urban residents, the illiteracy rate among people aged 15 years or older, and the number of hospital beds per 1000 people. Targeted prevention and control measures are needed to reduce HIV infection among those at higher risk.
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Affiliation(s)
- Gang Huang
- Health Science Center, Ningbo University, Ningbo, China
| | - Wei Cheng
- Department of AIDS and STD Prevention and Control, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Yun Xu
- Department of AIDS and STD Prevention and Control, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Jiezhe Yang
- Department of AIDS and STD Prevention and Control, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Jun Jiang
- Department of AIDS and STD Prevention and Control, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Xiaohong Pan
- Department of AIDS and STD Prevention and Control, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Xin Zhou
- Department of AIDS and STD Prevention and Control, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Jianmin Jiang
- Department of AIDS and STD Prevention and Control, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
- Key Lab of Vaccine, Prevention and Control of Infectious Disease of Zhejiang Province, Hangzhou, China
| | - Chengliang Chai
- Department of AIDS and STD Prevention and Control, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
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Zhang Y, Chai C, Xiong J, Zhang L, Zheng J, Ning Z, Wang Y. The impact of anxiety, depression, and social support on the relationship between HIV-related stigma and mental health-related quality of life among Chinese patients: a cross-sectional, moderate-mediation study. BMC Psychiatry 2023; 23:818. [PMID: 37940853 PMCID: PMC10634100 DOI: 10.1186/s12888-023-05103-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/26/2023] [Accepted: 08/10/2023] [Indexed: 11/10/2023] Open
Abstract
BACKGROUND/OBJECTIVE People living with HIV (PLWH) are prone to mental health problems and evidence indicates that HIV-related stigma can negatively impact mental health-related quality of life. This study explored potential mechanisms between HIV-related stigma and mental health-related quality of life, specifically whether anxiety or depression mediates, and whether social support moderates, the relationship. METHOD A total of 1197 Chinese PLWH participated in the study. The Berger HIV Stigma Scale, the Hospital Anxiety and Depression Scale (HADS), the 12-item Brief Health Survey (SF-12), and the Multidimensional Scale of Perceived Social Support (MSPSS) were employed. RESULTS HIV-related stigma was negatively associated with mental health-related quality of life. Anxiety and depression partially mediated the relationship between HIV-related stigma and mental health-related quality of life; social support played a moderating role. CONCLUSIONS The mental health-related quality of life in PLWH was shown to be indirectly affected by HIV-related stigma through anxiety and depression in China. The negative impact of HIV-related stigma decreased with increased social support.
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Affiliation(s)
- Yushu Zhang
- School of Public Health, Fudan University, Shanghai, China
- NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, China
| | - Chengliang Chai
- Department of AIDS/STDs Control and Prevention, Zhejiang Provincial Center for Diseases Control and Prevention, Zhejiang Province, Hangzhou, China
| | - Jianjing Xiong
- Jing'an District Center for Disease Prevention and Control, Shanghai, China
| | - Lin Zhang
- Center for Disease Control and Prevention, 10, East Section of Taihao Road, Henan Province, Zhoukou, 466000, China
| | - Jinlei Zheng
- Zhejiang Provincial Center for Disease Control and Prevention, Zhejiang Province, Hangzhou, China
| | - Zhen Ning
- Division of Tuberculosis and AIDS Control and Prevent Shanghai Municipal Center for Disease Control and Prevention 1380, Zhongshan Xi Road, Shanghai, 200336, China.
| | - Ying Wang
- NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, China.
- Department of Social Medicine, School of Public Health, Fudan University, Shanghai, 200032, China.
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Wang P, Xiong J, Zheng J, Chai C, Wang Y. Perceived social support and depression among people living with HIV in China: roles of stigma and adherence self-efficacy. BMC Psychiatry 2023; 23:544. [PMID: 37495961 PMCID: PMC10373273 DOI: 10.1186/s12888-023-04997-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Accepted: 07/03/2023] [Indexed: 07/28/2023] Open
Abstract
INTRODUCTION People living with HIV (PLHIV) are a high-risk group for depression. In particular, the prevalence and burden of depression is higher and more severe among PLHIV in developing and less-developed countries. There is evidence that perceived social support has a positive impact on reducing the occurrence of depression, and high stigma and low adherence self-efficacy are barriers to the effectiveness of social support for depressed PLHIV. However, how these risks affect the effect of social support on depression still needs further identification. METHODS Between 2017 and 2018, a total of 1139 Chinese PLHIV (74.36% male, mean age = 43.91 years) from three provinces (Shanghai, Zhejiang and Henan) in China were enrolled in the study. Data were analyzed by multiple regression, mediation model, and moderation model. RESULTS A total of 43.99% of PLHIV had mild to severe depression. There was a significant negative association between perceived social support and depression (B = -0.049, P < 0.05). Stigma and adherence self-efficacy played a chain mediating role (B = -0.058, 95% CI: -0.078 ~ 0.039) and a moderating role in the effect of perceived social support on depression (stigma: B = -0.003, P < 0.05; adherence self-efficacy: B = 0.004, P < 0.05). CONCLUSION Stigma and adherence self-efficacy indirectly predicted depression, and perceived social support was more effective in reducing depression among PLHIV with high stigma or low adherence self-efficacy. Enhancing multiple social support resources for PLHIV may reduce their risk of depression. Moreover, the need for social support is greater for those with high stigma or low adherence self-efficacy.
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Affiliation(s)
- Pengfei Wang
- School of Public Health, Fudan University, No. 130, Dong'an Road, Shanghai, 200032, China
- NHC Key Laboratory of Health Technology Assessment, Fudan University, No. 130, Dong'an Road, Shanghai, 200032, China
| | - Jianjing Xiong
- Jing'an District Center for Disease Control and Prevention, No. 195, Yonghe Road, Shanghai, 200072, China
| | - Jinlei Zheng
- Zhejiang Provincial Center for Disease Control and Prevention, No. 3399, Binsheng Road, Hangzhou, 310021, Zhejiang, China
| | - Chengliang Chai
- Zhejiang Provincial Center for Disease Control and Prevention, No. 3399, Binsheng Road, Hangzhou, 310021, Zhejiang, China.
| | - Ying Wang
- School of Public Health, Fudan University, No. 130, Dong'an Road, Shanghai, 200032, China.
- NHC Key Laboratory of Health Technology Assessment, Fudan University, No. 130, Dong'an Road, Shanghai, 200032, China.
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Chen L, Jiang T, Wang H, Hong H, Ge R, Tang H, Wang S, Xu K, Chai C, Ma Q, Jiang J. Development and validation of a risk score for predicting inconsistent condom use with women among men who have sex with men and women. BMC Public Health 2023; 23:734. [PMID: 37085861 PMCID: PMC10120174 DOI: 10.1186/s12889-023-15672-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2022] [Accepted: 04/13/2023] [Indexed: 04/23/2023] Open
Abstract
BACKGROUND Men who have sex with men and women (MSMW) are the most important bridge population for HIV transmission. Condom use plays an important role for HIV infection. However the predictors for condom ues with females are not well characterized. METHODS This was a cross-sectional study. Participants were enrolled by four community-based organizations (CBOs) by offline (bathrooms, bars), and online (gay applications, chat room) from April to December 2019. Electronic questionnare was fulfilled after a face-to-face training led by CBOs. We identified predictors of inconsistent condom use with females by creating a risk score based on regression coefficients. We externally validated this score via an independent cross-sectional survey conducted in Zhejiang Province in 2021. A total of 917, 615 MSMW were included in analysis in 2019 and 2021, seperately. RESULTS Among 917 MSMW, 73.2% reported heterosexual behavior in the prior 6 months and 38.3% reported inconsistent condom use with females (ICUF) over that time. Compared with heterosexual/unsure MSMW, bisexual MSMW reported more male and female sex partners, higher proportion of inconsistent condom use with males, less commercial sex with males (p < 0.05). Four risky predictors of ICUF were identified: Duration of local residence ≦6 months; more than one male partner in the prior 6 months; inconsistent condom use with males in the prior 6 months; and never heard post-exposure prophylaxis (PEP). The proportions of respondents indicating ICUF in the low- (0), medium- (2-4) and high-risk (6-20) groups (according to our risk scoring system) were 11.7% (14/120), 26.9% (96/357), and 78.1% (125/160), respectively (Ptrend < 0.001). In the validation survey, the respective proportions of those reporting ICUF were 13.4% (15/112), 17.8% (24/185) and 87.3% (96/110) (Ptrend < 0.001). CONCLUSIONS We developed and validated a predictive risk score for ICUF among MSMW; four factors were identified, of which inconsistent condom use with men was the most important. Risk reduction intervention programs should focus on MSM who report inconsistent condom use with males, never heard PEP, having multiple partners and living in local less than 6 months.
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Affiliation(s)
- Lin Chen
- Department of HIV/AIDS and STDs Control and Prevention; Department of Zhejiang Key Lab of Vaccine, Prevention and Control of Infectious Disease, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, People's Republic of China
| | - Tingting Jiang
- Department of HIV/AIDS and STDs Control and Prevention; Department of Zhejiang Key Lab of Vaccine, Prevention and Control of Infectious Disease, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, People's Republic of China
| | - Hui Wang
- Department of HIV/AIDS and STDs Control and Prevention; Department of Zhejiang Key Lab of Vaccine, Prevention and Control of Infectious Disease, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, People's Republic of China
| | - Hang Hong
- Department of HIV/AIDS and STDs Control and Prevention, Ningbo Center for Disease Control and Prevention, Ningbo, People's Republic of China
| | - Rui Ge
- Department of HIV/AIDS and STDs Control and Prevention, Jiaxing Center for Disease Control and Prevention, Zhejiang Province, Jiaxing, People's Republic of China
| | - Huiling Tang
- Department of HIV/AIDS and STDs Control and Prevention, Jinhua Center for Disease Control and Prevention,, Jinhua, People's Republic of China
| | - Shanling Wang
- Department of HIV/AIDS and STDs Control and Prevention, Taizhou Center for Disease Control and Prevention, Taizhou, People's Republic of China
| | - Ke Xu
- Department of HIV/AIDS and STDs Control and Prevention, Hangzhou Center for Disease Control and Prevention, Hangzhou, People's Republic of China
| | - Chengliang Chai
- Department of HIV/AIDS and STDs Control and Prevention; Department of Zhejiang Key Lab of Vaccine, Prevention and Control of Infectious Disease, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, People's Republic of China
| | - Qiaoqin Ma
- Department of HIV/AIDS and STDs Control and Prevention; Department of Zhejiang Key Lab of Vaccine, Prevention and Control of Infectious Disease, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, People's Republic of China
| | - Jianmin Jiang
- Department of HIV/AIDS and STDs Control and Prevention; Department of Zhejiang Key Lab of Vaccine, Prevention and Control of Infectious Disease, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, People's Republic of China.
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Zhang J, Xu K, Jiang J, Fan Q, Ding X, Zhong P, Xing H, Chai C, Pan X. Combining molecular network analysis and field epidemiology to quantify local HIV transmission and highlight ongoing epidemics. Int J Infect Dis 2023; 128:187-193. [PMID: 36587840 DOI: 10.1016/j.ijid.2022.12.033] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2022] [Revised: 12/06/2022] [Accepted: 12/25/2022] [Indexed: 12/31/2022] Open
Abstract
OBJECTIVES This study aimed to establish a collaborative approach to quantify local HIV transmission, which is an issue of great concern to public health. METHODS We linked HIV-1 pol gene sequences to demographic information and epidemiological investigations in Hangzhou (a central city in East China). We estimated local acquisition rates from a collaboration of molecular network analysis (with a distance-based approach) and epidemiological investigations. RESULTS Among 1064 newly diagnosed patients with HIV, 857 pol sequences were acquired and subsequently analyzed. Multiple subtypes were identified, with circulating recombinant form (CRF)07_BC (42.5%) and CRF01_AE (39.2%) predominating, followed by 13 other subtypes and 26 unique recombinant forms. By integrating the molecular network analysis and epidemiological investigations, we estimated that the proportion of local infection was 63.2%. The multivariable analyses revealed that individuals in clusters were more likely to be local residents, be aged 50 years or older, work as farmers, and have a higher first cluster of differentiation 4 count level (P <0.05). The proportions of local acquisitions over 70% were observed in local residents (79.9%, 242/303), individuals aged 50 years or older (73.6%, 181/246), and farmers (75.6%, 99/131). CONCLUSION The molecular network analysis can augment traditional HIV epidemic surveillance. This study establishes a paradigm for quantifying local HIV transmission for generalization in other areas.
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Affiliation(s)
- Jiafeng Zhang
- Department of HIV/AIDS Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Ke Xu
- Department of HIV/AIDS Control and Prevention, Hangzhou Municipal Center for Disease Control and Prevention, Hangzhou, China
| | - Jun Jiang
- Department of HIV/AIDS Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Qin Fan
- Department of HIV/AIDS Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Xiaobei Ding
- Department of HIV/AIDS Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Ping Zhong
- Shanghai Municipal Center for Diseases Control and Prevention, Shanghai, China
| | - Hui Xing
- Division of Virology and Immunology, National Center for AIDS/STD Control and Prevention (NCAIDS), Beijing, China
| | - Chengliang Chai
- Department of HIV/AIDS Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China.
| | - Xiaohong Pan
- Department of HIV/AIDS Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China.
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Fan Q, Liu J, Chai C, Zhu S, Fang Q, Guo Z, Xia Y, Ding X, Zhang J. Identification and genomic characterization of a novel HIV-1 unique recombinant form (CRF01_AE/CRF07_BC) in Zhejiang Province, China. Virus Genes 2023; 59:142-147. [PMID: 36301459 PMCID: PMC9832081 DOI: 10.1007/s11262-022-01945-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2022] [Accepted: 10/07/2022] [Indexed: 01/14/2023]
Abstract
Mutation and recombination are important mechanisms leading to the frequent evolution and genetic diversity of viruses as HIV-1. In this study, we identified the near full-length genomic characterization of a novel HIV-1 unique recombinant form (URF) strain (Sample ID: ZJ20202195/ZJ/CHN/2020, hereafter referred to as ZJ20202195) isolated during the HIV-1 molecular surveillance in 2020 in Zhejiang Province, China, through different recombination analysis tools and phylogenetic analysis. Our results amply proved that the near full-length genome (NFLG) sequence of ZJ20202195 was a novel HIV-1 unique recombinant form (URF) consisting of CRF01_AE and CRF07_BC subtype, and delimited three recombinant segments, of which the Segment I (HXB2:776-5559 nucleotide (nt)) and Segment III (HXB2:6224-9412 nt) were mainly originated from CRF01_AE cluster g4a strains prevalent in China and Segment II (HXB2:5560-6223 nt) was from CRF07_BC subtype. Overall, our findings provide insight and a scientific basis in the genetic diversity and accurate determination of HIV-1 recombinant strains in China.
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Affiliation(s)
- Qin Fan
- Department of HIV/AIDS Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, No.3399, Binsheng Road, Hangzhou, 310051 People’s Republic of China
| | - Jing Liu
- School of Laboratory Medicine and Life Science, Wenzhou Medical University, Wenzhou, 325035 People’s Republic of China
| | - Chengliang Chai
- Department of HIV/AIDS Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, No.3399, Binsheng Road, Hangzhou, 310051 People’s Republic of China
| | - Shuying Zhu
- Department of Microbiological Analysis, Jinhua Municipal Center for Disease Control and Prevention, Jinhua, 321002 People’s Republic of China
| | - Qionglou Fang
- Department of Microbiological Analysis, Jinhua Municipal Center for Disease Control and Prevention, Jinhua, 321002 People’s Republic of China
| | - Zhihong Guo
- Department of HIV/AIDS Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, No.3399, Binsheng Road, Hangzhou, 310051 People’s Republic of China
| | - Yan Xia
- Department of HIV/AIDS Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, No.3399, Binsheng Road, Hangzhou, 310051 People’s Republic of China
| | - Xiaobei Ding
- Department of HIV/AIDS Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, No.3399, Binsheng Road, Hangzhou, 310051 People’s Republic of China
| | - Jiafeng Zhang
- Department of HIV/AIDS Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, No.3399, Binsheng Road, Hangzhou, 310051 People’s Republic of China
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Zhang J, Fan Q, Ye L, Liu J, Chen X, Li X, Chai C. Tracing the origin of an imported HIV-1 sub-subtype A6 strain first identified in Zhejiang Province, China. Infect Genet Evol 2022; 106:105388. [PMID: 36403919 DOI: 10.1016/j.meegid.2022.105388] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/26/2022] [Revised: 11/14/2022] [Accepted: 11/16/2022] [Indexed: 11/18/2022]
Abstract
Human migration and mobility have been identified as key drivers of HIV dissemination among nations, which increases the problem of genetic diversity. Here, we report the near full-length genome of HIV-1 A6 identified in a female patient in the remote mountain area of Lishui, Zhejiang Province, which is the first time A6 has been reported in China. The near full-length genome was amplified with two large amplicons of 5.5 kb and 3.7 kb, and then target PCR products were sequenced by Sanger sequencing. The A6 strain was confirmed by the Basic Local Alignment Search Tool (BLAST) and a maximum-likelihood (ML) phylogenetic tree. The time to the most recent common ancestor (tMRCA) was inferred to be 2004 (95% HPD interval: 2003-2006). The sequence harbored the L74I mutation, which is a key characteristic genetic marker of A6. Combining the above evidence with epidemiological investigations, this A6 strain was determined to be from Ukraine, which was supported by phylogenetic analysis. This study identified a foreign imported strain, indicating a trend of increasing complication in the HIV-1 epidemic in Zhejiang, China.
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Affiliation(s)
- Jiafeng Zhang
- Department of HIV/AIDS & STD Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Qin Fan
- Department of HIV/AIDS & STD Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Ling Ye
- Lishui Prefectural Center for Disease Control and Prevention, Lishui, China
| | - Jing Liu
- School of Laboratory Medicine and Life Science, Wenzhou Medical University, Wenzhou, China
| | - Xiaolei Chen
- Lishui Prefectural Center for Disease Control and Prevention, Lishui, China
| | - Xingguang Li
- Department of Technology R&D, Ningbo Institute of Life and Health Industry, University of Chinese Academy of Sciences, Ningbo, China; Hwa Mei Hospital, University of Chinese Academy of Sciences, Ningbo, China
| | - Chengliang Chai
- Department of HIV/AIDS & STD Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China.
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Huang G, Cheng W, Xu Y, Yang J, Jiang J, Pan X, Zhou X, Jiang J, Chai C. Development and Validation of a Risk Prediction Tool to Identify People at Greater Risk of Having Hepatitis C among Drug Users. Int J Environ Res Public Health 2022; 19:15677. [PMID: 36497751 PMCID: PMC9738321 DOI: 10.3390/ijerph192315677] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/14/2022] [Revised: 11/14/2022] [Accepted: 11/23/2022] [Indexed: 06/17/2023]
Abstract
BACKGROUND People who use drugs (PWUD) are among those with the highest risk for hepatitis C virus (HCV) infection. Highly effective direct-acting antiviral agents offer an opportunity to eliminate HCV. A simple tool for the prediction of HCV infection risk in PWUD is urgently needed. This study aimed to develop and validate a risk prediction tool to identify people at greater risk of having hepatitis C among PWUD that is applicable in resource-limited settings. METHODS We extracted data from national HIV/AIDS sentinel surveillance in PWUD (Zhejiang Province, 2016-2021) and developed and validated a risk score to improve HCV testing in PWUD. This risk score consists of seven risk factors identified using multivariable logistic regression modeling (2016-2020, exploratory group). We validated this score using surveillance data for 2021 (validation group). The accuracy of the model was determined using C-statistics. RESULTS We identified seven risk factors, including sex, age, marital status, educational attainment, and the use of heroin, morphine, and methamphetamine. In the exploratory group, the positive rates of detecting the HCV antibody in the low-risk (0-9 points), intermediate-risk (10-16 points), and high-risk (≥17 points) groups were 6.72%, 17.24%, and 38.02%, respectively (Ptrend < 0.001). In the validation group, the positive rates in the low-, medium-, and high-risk groups were 4.46%, 12.23%, and 38.99%, respectively (Ptrend < 0.001). CONCLUSIONS We developed and validated a drug-specific risk prediction tool for identifying PWUD at increased risk of HCV infection. This tool can complement and integrate the screening strategy for the purpose of early diagnosis and treatment.
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Affiliation(s)
- Gang Huang
- Medical School of Ningbo University, Ningbo University, Ningbo 315211, China
| | - Wei Cheng
- Department of AIDS and STDs Prevention and Control, Zhejiang Province Center for Disease Control and Prevention, Hangzhou 310051, China
| | - Yun Xu
- Department of AIDS and STDs Prevention and Control, Zhejiang Province Center for Disease Control and Prevention, Hangzhou 310051, China
| | - Jiezhe Yang
- Department of AIDS and STDs Prevention and Control, Zhejiang Province Center for Disease Control and Prevention, Hangzhou 310051, China
| | - Jun Jiang
- Department of AIDS and STDs Prevention and Control, Zhejiang Province Center for Disease Control and Prevention, Hangzhou 310051, China
| | - Xiaohong Pan
- Department of AIDS and STDs Prevention and Control, Zhejiang Province Center for Disease Control and Prevention, Hangzhou 310051, China
| | - Xin Zhou
- Department of AIDS and STDs Prevention and Control, Zhejiang Province Center for Disease Control and Prevention, Hangzhou 310051, China
| | - Jianmin Jiang
- Department of AIDS and STDs Prevention and Control, Zhejiang Province Center for Disease Control and Prevention, Hangzhou 310051, China
- Key Lab of Vaccine, Prevention and Control of Infectious Disease of Zhejiang Province, Hangzhou 310051, China
| | - Chengliang Chai
- Department of AIDS and STDs Prevention and Control, Zhejiang Province Center for Disease Control and Prevention, Hangzhou 310051, China
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Fan Q, Zhang J, Luo M, Feng Y, Ge R, Yan Y, Zhong P, Ding X, Xia Y, Guo Z, Pan X, Chai C. Molecular Genetics and Epidemiological Characteristics of HIV-1 Epidemic Strains in Various Sexual Risk Behaviour Groups in Developed Eastern China, 2017-2020. Emerg Microbes Infect 2022; 11:2326-2339. [PMID: 36032035 PMCID: PMC9542350 DOI: 10.1080/22221751.2022.2119167] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Affiliation(s)
- Qin Fan
- Department of HIV/AIDS and STDs Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, People’s Republic of China
| | - Jiafeng Zhang
- Department of HIV/AIDS and STDs Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, People’s Republic of China
| | - Mingyu Luo
- Department of HIV/AIDS and STDs Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, People’s Republic of China
| | - Yi Feng
- State Key Laboratory for Infectious Disease Prevention and Control, National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, People’s Republic of China
| | - Rui Ge
- Division of AIDS/TB Prevention and Control, Jiaxing Municipal Center for Disease Control and Prevention, Jiaxing 314050, People’s Republic of China
| | - Yong Yan
- Division of AIDS/TB Prevention and Control, Jiaxing Municipal Center for Disease Control and Prevention, Jiaxing 314050, People’s Republic of China
| | - Ping Zhong
- Department of AIDS and STD, Shanghai Municipal Center for Disease Control and Prevention, Shanghai 200051, People’s Republic of China
| | - Xiaobei Ding
- Department of HIV/AIDS and STDs Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, People’s Republic of China
| | - Yan Xia
- Department of HIV/AIDS and STDs Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, People’s Republic of China
| | - Zhihong Guo
- Department of HIV/AIDS and STDs Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, People’s Republic of China
| | - Xiaohong Pan
- Department of HIV/AIDS and STDs Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, People’s Republic of China
| | - Chengliang Chai
- Department of HIV/AIDS and STDs Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, People’s Republic of China
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11
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He J, Li J, Jiang S, Cheng W, Jiang J, Xu Y, Yang J, Zhou X, Chai C, Wu C. Application of machine learning algorithms in predicting HIV infection among men who have sex with men: Model development and validation. Front Public Health 2022; 10:967681. [PMID: 36091522 PMCID: PMC9452878 DOI: 10.3389/fpubh.2022.967681] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2022] [Accepted: 08/02/2022] [Indexed: 01/25/2023] Open
Abstract
Background Continuously growing of HIV incidence among men who have sex with men (MSM), as well as the low rate of HIV testing of MSM in China, demonstrates a need for innovative strategies to improve the implementation of HIV prevention. The use of machine learning algorithms is an increasing tendency in disease diagnosis prediction. We aimed to develop and validate machine learning models in predicting HIV infection among MSM that can identify individuals at increased risk of HIV acquisition for transmission-reduction interventions. Methods We extracted data from MSM sentinel surveillance in Zhejiang province from 2018 to 2020. Univariate logistic regression was used to select significant variables in 2018-2019 data (P < 0.05). After data processing and feature selection, we divided the model development data into two groups by stratified random sampling: training data (70%) and testing data (30%). The Synthetic Minority Oversampling Technique (SMOTE) was applied to solve the problem of unbalanced data. The evaluation metrics of model performance were comprised of accuracy, precision, recall, F-measure, and the area under the receiver operating characteristic curve (AUC). Then, we explored three commonly-used machine learning algorithms to compare with logistic regression (LR), including decision tree (DT), support vector machines (SVM), and random forest (RF). Finally, the four models were validated prospectively with 2020 data from Zhejiang province. Results A total of 6,346 MSM were included in model development data, 372 of whom were diagnosed with HIV. In feature selection, 12 variables were selected as model predicting indicators. Compared with LR, the algorithms of DT, SVM, and RF improved the classification prediction performance in SMOTE-processed data, with the AUC of 0.778, 0.856, 0.887, and 0.942, respectively. RF was the best-performing algorithm (accuracy = 0.871, precision = 0.960, recall = 0.775, F-measure = 0.858, and AUC = 0.942). And the RF model still performed well on prospective validation (AUC = 0.846). Conclusion Machine learning models are substantially better than conventional LR model and RF should be considered in prediction tools of HIV infection in Chinese MSM. Further studies are needed to optimize and promote these algorithms and evaluate their impact on HIV prevention of MSM.
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Affiliation(s)
- Jiajin He
- School of Public Health, Zhejiang University School of Medicine, Hangzhou, China
| | - Jinhua Li
- School of Software Technology, Zhejiang University, Ningbo, China
| | - Siqing Jiang
- School of Public Health, Zhejiang University School of Medicine, Hangzhou, China
| | - Wei Cheng
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Jun Jiang
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Yun Xu
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Jiezhe Yang
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Xin Zhou
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Chengliang Chai
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China,*Correspondence: Chengliang Chai
| | - Chao Wu
- School of Public Affairs, Zhejiang University, Hangzhou, China,Chao Wu
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12
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Wu G, Wang H, Zhao C, Cao C, Chai C, Huang L, Guo Y, Gong Z, Tirschwell D, Zhu C, Xia S. Large Culprit Plaque and More Intracranial Plaques Are Associated with Recurrent Stroke: A Case-Control Study Using Vessel Wall Imaging. AJNR Am J Neuroradiol 2022; 43:207-215. [PMID: 35058299 PMCID: PMC8985671 DOI: 10.3174/ajnr.a7402] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2021] [Accepted: 11/02/2021] [Indexed: 02/03/2023]
Abstract
BACKGROUND AND PURPOSE Intracranial atherosclerotic plaque features are potential factors associated with recurrent stroke, but previous studies only focused on a single lesion, and few studies investigated them with perfusion impairment. This study aimed to investigate the association among whole-brain plaque features, perfusion deficit, and stroke recurrence. MATERIALS AND METHODS Patients with ischemic stroke due to intracranial atherosclerosis were retrospectively collected and categorized into first-time and recurrent-stroke groups. Patients underwent high-resolution vessel wall imaging and DSC-PWI. Intracranial plaque number, culprit plaque features (such as plaque volume/burden, degree of stenosis, enhancement ratio), and perfusion deficit variables were recorded. Logistic regression analyses were performed to determine the independent factors associated with recurrent stroke. RESULTS One hundred seventy-five patients (mean age, 59 [SD, 12] years; 115 men) were included. Compared with the first-time stroke group (n = 100), the recurrent-stroke group (n = 75) had a larger culprit volume (P = .006) and showed more intracranial plaques (P < .001) and more enhanced plaques (P = .003). After we adjusted for other factors, culprit plaque volume (OR, 1.16 per 10-mm3 increase; 95% CI, 1.03-1.30; P = .015) and total plaque number (OR, 1.31; 95% CI, 1.13-1.52; P < .001) were independently associated with recurrent stroke. Combining these factors increased the area under the curve to 0.71. CONCLUSIONS Large culprit plaque and more intracranial plaques were independently associated with recurrent stroke. Performing whole-brain vessel wall imaging may help identify patients with a higher risk of recurrent stroke.
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Affiliation(s)
- G. Wu
- From The School of Medicine (G.W., H.W.), Nankai University, Tianjin, China
| | - H. Wang
- From The School of Medicine (G.W., H.W.), Nankai University, Tianjin, China
| | - C. Zhao
- Department of Radiology (C. Zhao), First Central Clinical College, Tianjin Medical University, Tianjin, China
| | - C. Cao
- Department of Radiology (C. Cao), Tianjin Huanhu Hospital, Tianjin, China
| | - C. Chai
- Department of Radiology (C. Chai, L.H., Y.G., S.X.)
| | - L. Huang
- Department of Radiology (C. Chai, L.H., Y.G., S.X.)
| | - Y. Guo
- Department of Radiology (C. Chai, L.H., Y.G., S.X.)
| | - Z. Gong
- Neurology (Z.G.), Tianjin First Central Hospital, School of Medicine, Nankai University, Tianjin, China
| | | | - C. Zhu
- Radiology (C. Zhu), University of Washington, Seattle, Washington
| | - S. Xia
- Department of Radiology (C. Chai, L.H., Y.G., S.X.)
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13
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Luo Y, Tang N, Li G, Tang J, Chai C, Qin X. Natural Language to Visualization by Neural Machine Translation. IEEE Trans Vis Comput Graph 2022; 28:217-226. [PMID: 34784276 DOI: 10.1109/tvcg.2021.3114848] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
Supporting the translation from natural language (NL) query to visualization (NL2VIS) can simplify the creation of data visualizations because if successful, anyone can generate visualizations by their natural language from the tabular data. The state-of-the-art NL2VIS approaches (e.g., NL4DV and FlowSense) are based on semantic parsers and heuristic algorithms, which are not end-to-end and are not designed for supporting (possibly) complex data transformations. Deep neural network powered neural machine translation models have made great strides in many machine translation tasks, which suggests that they might be viable for NL2VIS as well. In this paper, we present ncNet, a Transformer-based sequence-to-sequence model for supporting NL2VIS, with several novel visualization-aware optimizations, including using attention-forcing to optimize the learning process, and visualization-aware rendering to produce better visualization results. To enhance the capability of machine to comprehend natural language queries, ncNet is also designed to take an optional chart template (e.g., a pie chart or a scatter plot) as an additional input, where the chart template will be served as a constraint to limit what could be visualized. We conducted both quantitative evaluation and user study, showing that ncNet achieves good accuracy in the nvBench benchmark and is easy-to-use.
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14
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Zhang B, Shi Y, Hou L, Yin Z, Chai C. TSMG: A Deep Learning Framework for Recognizing Human Learning Style Using EEG Signals. Brain Sci 2021; 11:brainsci11111397. [PMID: 34827396 PMCID: PMC8615788 DOI: 10.3390/brainsci11111397] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2021] [Revised: 10/20/2021] [Accepted: 10/21/2021] [Indexed: 11/16/2022] Open
Abstract
Educational theory claims that integrating learning style into learning-related activities can improve academic performance. Traditional methods to recognize learning styles are mostly based on questionnaires and online behavior analyses. These methods are highly subjective and inaccurate in terms of recognition. Electroencephalography (EEG) signals have significant potential for use in the measurement of learning style. This study uses EEG signals to design a deep-learning-based model of recognition to recognize people's learning styles with EEG features by using a non-overlapping sliding window, one-dimensional spatio-temporal convolutions, multi-scale feature extraction, global average pooling, and the group voting mechanism; this model is named the TSMG model (Temporal-Spatial-Multiscale-Global model). It solves the problem of processing EEG data of variable length, and improves the accuracy of recognition of the learning style by nearly 5% compared with prevalent methods, while reducing the cost of calculation by 41.93%. The proposed TSMG model can also recognize variable-length data in other fields. The authors also formulated a dataset of EEG signals (called the LSEEG dataset) containing features of the learning style processing dimension that can be used to test and compare models of recognition. This dataset is also conducive to the application and further development of EEG technology to recognize people's learning styles.
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Affiliation(s)
- Bingxue Zhang
- Department of Optical-Electrical & Computer Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China; (B.Z.); (Y.S.); (Z.Y.)
| | - Yang Shi
- Department of Optical-Electrical & Computer Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China; (B.Z.); (Y.S.); (Z.Y.)
| | - Longfeng Hou
- Department of Energy & Power Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China;
| | - Zhong Yin
- Department of Optical-Electrical & Computer Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China; (B.Z.); (Y.S.); (Z.Y.)
| | - Chengliang Chai
- Department of Optical-Electrical & Computer Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China; (B.Z.); (Y.S.); (Z.Y.)
- Correspondence:
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15
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Chen J, He H, Cheng W, Liu Y, Sun Z, Chai C, Kong Q, Sun W, Zhang J, Guo S, Shi X, Wang J, Chen E, Chen Z. Potential transmission of SARS-CoV-2 on a flight from Singapore to Hangzhou, China: An epidemiological investigation. Travel Med Infect Dis 2020; 36:101816. [PMID: 32645477 PMCID: PMC7336905 DOI: 10.1016/j.tmaid.2020.101816] [Citation(s) in RCA: 36] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2020] [Revised: 06/26/2020] [Accepted: 06/29/2020] [Indexed: 01/08/2023]
Abstract
BACKGROUND Between January 24, 2020 and February 15, 2020, an outbreak of COVID-19 occurred among 335 passengers on a flight from Singapore to Hangzhou in China. This study aimed to investigate the source of the outbreak and assess the risk of transmission of COVID-19 during the flight. METHOD Using a standardized questionnaire, we collected information on the travelers' demographic characteristics and illness before, during, and after the flight. We also collected data on factors potentially associated with COVID-19 transmission during the flight. RESULTS A total of 16 COVID-19 patients were diagnosed among all passengers; the overall attack rate was 4.8%. The attack rate among passengers who had departed from Wuhan was significantly higher than that among those who had departed from other places. One passenger without an epidemiological history of exposure before boarding developed COVID-19. During the flight, he was seated near four infected passengers from Wuhan for approximately an hour and did not wear his facemask correctly during the flight. CONCLUSIONS COVID-19 transmission may have occurred during the flight. However, the majority of the cases in the flight-associated outbreak could not be attributed to transmission on the flight but were associated with exposure to the virus in Wuhan or to infected members in a single tour group.
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Affiliation(s)
- Junfang Chen
- HangZhou Center for Disease Control and Prevention, Hangzhou, China
| | - Hanqing He
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Wei Cheng
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Yan Liu
- HangZhou Center for Disease Control and Prevention, Hangzhou, China
| | - Zhou Sun
- HangZhou Center for Disease Control and Prevention, Hangzhou, China
| | - Chengliang Chai
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Qingxin Kong
- HangZhou Center for Disease Control and Prevention, Hangzhou, China
| | - Wanwan Sun
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Jiaqi Zhang
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Song Guo
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Xuguang Shi
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Jinna Wang
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Enfu Chen
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China.
| | - Zhiping Chen
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China.
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Liu K, Li T, Vongpradith A, Wang F, Peng Y, Wang W, Chai C, Chen S, Zhang Y, Zhou L, Chen X, Bian Q, Chen B, Wang X, Jiang J. Identification and Prediction of Tuberculosis in Eastern China: Analyses from 10-year Population-based Notification Data in Zhejiang Province, China. Sci Rep 2020; 10:7425. [PMID: 32367050 PMCID: PMC7198485 DOI: 10.1038/s41598-020-64387-5] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2020] [Accepted: 04/13/2020] [Indexed: 11/29/2022] Open
Abstract
Tuberculosis, a severe infectious disease caused by the Mycobacterium tuberculosis, arouses huge concerns globally. In this study, a total of 331,594 TB cases in Zhejiang Province were notified during the period of 2009–2018 with the gender ratio of male to female 2.16:1. The notified TB incidences demonstrated a continuously declining trend from 75.38/100,000 to 52.25/100,000. Seasonally, the notified TB cases presented as low in January and February closely followed an apparent rise in March and April. Further stratification analysis by both genders demonstrated the double peak phenomenon in the younger population (“15–35”) and the elders (“>55”) of the whole group. Results from the rate difference (RD) analysis showed that the rising TB incidence mainly presented in the young group of “15–20” and elder group of “65–70”, implying that some implementations such as the increased frequency of checkup in specific student groups and strengthening of elder health examination could be explored and integrated into available health policy. Finally, the SARIMA (2,0,2) (0,1,1)12 was determined as the optimal prediction model, which could be used in the further prediction of TB in Zhejiang Province.
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Affiliation(s)
- Kui Liu
- Department of Tuberculosis Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang Province, People's Republic of China.,Key Laboratory of Vaccine, Prevention and Control of Infectious Disease of Zhejiang Province, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang Province, People's Republic of China
| | - Tao Li
- Chinese Center for Disease Control and Prevention, Beijing, People's Republic of China
| | - Avina Vongpradith
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, Washington, United States of America
| | - Fei Wang
- Department of Tuberculosis Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang Province, People's Republic of China
| | - Ying Peng
- Department of Tuberculosis Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang Province, People's Republic of China
| | - Wei Wang
- Department of Tuberculosis Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang Province, People's Republic of China
| | - Chengliang Chai
- Department of Tuberculosis Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang Province, People's Republic of China
| | - Songhua Chen
- Department of Tuberculosis Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang Province, People's Republic of China
| | - Yu Zhang
- Department of Tuberculosis Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang Province, People's Republic of China
| | - Lin Zhou
- Department of Tuberculosis Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang Province, People's Republic of China
| | - Xinyi Chen
- Ningbo University, Ningbo, Zhejiang Province, People's Republic of China
| | - Qiao Bian
- Ningbo University, Ningbo, Zhejiang Province, People's Republic of China
| | - Bin Chen
- Department of Tuberculosis Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang Province, People's Republic of China. .,Key Laboratory of Vaccine, Prevention and Control of Infectious Disease of Zhejiang Province, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang Province, People's Republic of China.
| | - Xiaomeng Wang
- Department of Tuberculosis Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang Province, People's Republic of China. .,Key Laboratory of Vaccine, Prevention and Control of Infectious Disease of Zhejiang Province, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang Province, People's Republic of China.
| | - Jianmin Jiang
- Department of Tuberculosis Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang Province, People's Republic of China. .,Key Laboratory of Vaccine, Prevention and Control of Infectious Disease of Zhejiang Province, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang Province, People's Republic of China.
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Wang W, Wang F, Peng Y, Liu K, Chen X, Chai C, Wang X, Chen B. Factors Associated with Health-Seeking Preference Among People Who Were Supposed to Cough for More Than 2 Weeks: A Cross-Sectional Study in Southeast China. Patient Prefer Adherence 2020; 14:1173-1183. [PMID: 32764890 PMCID: PMC7372003 DOI: 10.2147/ppa.s257722] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/10/2020] [Accepted: 06/19/2020] [Indexed: 11/23/2022] Open
Abstract
BACKGROUND The health-seeking preference of people with a cough >2 weeks had not been extensively researched in southeast China. The study aimed to explore factors associated with health-seeking preference, which could provide more evidence to improve individuals' appropriate health-seeking behavior. MATERIALS AND METHODS From October 2018 to December 2018, this cross-sectional study was conducted in Zhejiang, China. A questionnaire was used to collect information on sociodemographic characteristics, knowledge of tuberculosis (TB), and health-seeking preference. The chi-square test and multivariable logistic regression were performed to evaluate factors associated with health-seeking preference. RESULTS Of the 7174 participants, 3321 (46.3%) were men, 6148 (85.7%) were married, and 6013 (83.8%) knew about TB. Appropriate health-seeking preference was reported by 6229 (86.8%) participants. Respondents knowing about TB were more likely to seek appropriate care than those did not (89.6% vs 72.4%, p<0.001). Of the 6013 participants knowing about TB, respondents with higher scores on five key items of TB knowledge were more likely to get appropriate health-seeking preference. About 805 (96.6%) participants with 5 scores on TB knowledge had appropriate care preference. Only 97 (72.4%) participants with a score of 0 reported an appropriate preference. Multivariable logistic regression showed residence, marital status, education level, occupation, and awareness of TB knowledge were predictors of appropriate health-seeking preference. Compared to participants with a score of 0 on five TB key knowledge, participants with a score of 5 were 8.57 times more likely to have appropriate health-seeking preference (95% confidence interval [CI]: 4.97-14.78), followed by a score of 4 (odds ratio [OR]=5.99, 95% CI, 3.23-8.03); 3 (OR=3.74, 95% CI, 2.44-5.74); 2 (OR=1.99, 95% CI, 1.30-3.02) and 1 (OR=1.17, 95% CI, 0.76-1.80). CONCLUSION Participants with little knowledge of TB had a low level of appropriate health-seeking preference. Appropriate health-seeking preference of the participants improved with increased key knowledge level of TB.
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Affiliation(s)
- Wei Wang
- Department of Tuberculosis Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou310051, People’s Republic of China
| | - Fei Wang
- Department of Tuberculosis Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou310051, People’s Republic of China
| | - Ying Peng
- Department of Tuberculosis Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou310051, People’s Republic of China
| | - Kui Liu
- Department of Tuberculosis Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou310051, People’s Republic of China
| | - Xinyi Chen
- Department of Preventive Medicine, Epidemiology and Health Statistics, School of Medicine, Ningbo University, Ningbo315211, People’s Republic of China
| | - Chengliang Chai
- Department of Tuberculosis Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou310051, People’s Republic of China
| | - Xiaomeng Wang
- Department of Tuberculosis Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou310051, People’s Republic of China
| | - Bin Chen
- Department of Tuberculosis Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou310051, People’s Republic of China
- Key Laboratory of Vaccine, Prevention and Control of Infectious Disease of Zhejiang Province, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou310051, People’s Republic of China
- Correspondence: Bin Chen; Xiaomeng Wang Department of Tuberculosis Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, 3399, Binsheng Road, Binjiang District, Hangzhzou, Zhejiang Province310051, People’s Republic of China Tel/Fax +86 571 8711 5183; Tel +86 571 8711 5181Fax +86 571 8711 5189 Email ;
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Bao H, Liu K, Wu Z, Wang X, Chai C, He T, Wang W, Wang F, Peng Y, Chen B, Jiang J. Tuberculosis outbreaks among students in mainland China: a systematic review and meta-analysis. BMC Infect Dis 2019; 19:972. [PMID: 31727001 PMCID: PMC6854678 DOI: 10.1186/s12879-019-4573-3] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2018] [Accepted: 10/16/2019] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND In recent years, tuberculosis outbreaks in schools have occurred more frequently in China than in other parts of the world, and have posed a public health threat to students and their families. This systematic review aimed to understand the epidemiological characteristics of tuberculosis (TB) outbreaks and analyze the factors associated with TB outbreaks in schools in China. METHODS We conducted this systematic review following the standard procedures of the Cochrane Collaboration and the Preferred Reporting Items for Systematic Review and Meta-Analysis statement. The meta-analysis was performed with STATA using a random effects model. RESULTS We included 107 studies involving 1795 student patients with TB in mainland China. The results of the systematic analysis indicated that TB outbreaks were more frequently reported in senior middle schools and in Eastern China. The outbreaks mainly occurred during the winter and spring, and the median outbreak duration was 4 months. The meta-analysis showed that the total attack rate and the class attack rate of tuberculosis outbreaks among students were 4.60% (95% CI 3.80 to 5.70%) and 22.70% (95% CI 19.20 to 27.00%), respectively. Subgroup analysis showed that outbreaks that occurred at universities or colleges had a relatively higher attack rate than those occurred in senior middle schools. The prevalence of latent tuberculosis infection (LTBI) among close contacts was 23.70% (95% CI 19.50 to 28.90%). The median case-finding interval was 2 months, and 47.40% of the index cases had a case-finding delay. CONCLUSION The results of our review indicated that school TB outbreaks were reported most frequently in senior middle schools in China. The attack rates of outbreaks at universities or colleges were higher than those in senior middle schools. The TB outbreaks in schools usually occurred over prolonged periods. The case-finding delay in the index cases must be reduced to prevent transmission in classes and schools. Effective surveillance and screening of presumptive TB cases in schools should be strengthened to reduce outbreaks in schools.
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Affiliation(s)
- Hongdan Bao
- Medical Insurance Management Office, Zhejiang Hospital, Hangzhou, 310013 Zhejiang China
| | - Kui Liu
- Zhejiang Provincial Centers for Disease Control and Prevention, Hangzhou, 310051 Zhejiang China
| | - Zikang Wu
- Research office, Women’s Hospital School of Medicine, Zhejiang University, Hangzhou, 310006 Zhejiang China
| | - Xiaomeng Wang
- Zhejiang Provincial Centers for Disease Control and Prevention, Hangzhou, 310051 Zhejiang China
| | - Chengliang Chai
- Zhejiang Provincial Centers for Disease Control and Prevention, Hangzhou, 310051 Zhejiang China
| | - Tieniu He
- Zhejiang Provincial Centers for Disease Control and Prevention, Hangzhou, 310051 Zhejiang China
| | - Wei Wang
- Zhejiang Provincial Centers for Disease Control and Prevention, Hangzhou, 310051 Zhejiang China
| | - Fei Wang
- Zhejiang Provincial Centers for Disease Control and Prevention, Hangzhou, 310051 Zhejiang China
| | - Ying Peng
- Zhejiang Provincial Centers for Disease Control and Prevention, Hangzhou, 310051 Zhejiang China
| | - Bin Chen
- Zhejiang provincial Centers for Disease Control and Prevention, Hangzhou, 310051 Zhejiang China
- Key laboratory of Vaccine, Prevention and Control of infectious disease of Zhejiang prevince, Hangzhou, 310051 Zhejiang China
| | - Jianmin Jiang
- Zhejiang provincial Centers for Disease Control and Prevention, Hangzhou, 310051 Zhejiang China
- Key laboratory of Vaccine, Prevention and Control of infectious disease of Zhejiang prevince, Hangzhou, 310051 Zhejiang China
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Liu K, Peng Y, Zhou Q, Cheng J, Yu H, Tang L, Chen B, Wang W, Wang F, He T, Zhang Y, Zhou L, Chen S, Chai C, Bao H, Wang X, Jiang J. Assessment of active tuberculosis findings in the eastern area of China: A 3-year sequential screening study. Int J Infect Dis 2019; 88:34-40. [PMID: 31374346 DOI: 10.1016/j.ijid.2019.07.029] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2019] [Revised: 07/23/2019] [Accepted: 07/24/2019] [Indexed: 11/28/2022] Open
Abstract
BACKGROUND Tuberculosis (TB) is a critical global public threat, and limited epidemiology studies have been performed to explore the efficacy of active TB screening. METHODS Three sites located in eastern China were chosen in 2013, and three rounds of systematic screenings were performed in permanent residents aged older than 15 years. RESULTS The TB incidence showed a downtrend after several rounds of active screening at the three sites, and a significant change was observed at site A in the overall population. In the target population at sites A and B, both the elderly and people with a history of TB had a remarkable decline through the first or second round of screening. The implementation of active case-finding identified 2.36 [1.47,3.81] (2013 vs. 2012) and 1.49 [1.1,2.03] (2013-2015 vs. 2010-2012) more potential cases than the passive case-finding by the surveillance system at site A. CONCLUSIONS Active case-finding of tuberculosis might be effective in high prevalence area with a low economic level, particularly among the elderly and people with a history of TB. Additionally, new rapid diagnosis technology should be considered to decrease the prevalence among people with a history of TB. Ultimately, active screening identified more active TB cases than passive case-finding, particularly in high prevalence area with underdeveloped economics.
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Affiliation(s)
- Kui Liu
- Department of Tuberculosis Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang Province, People's Republic of China
| | - Ying Peng
- Department of Tuberculosis Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang Province, People's Republic of China
| | - Qinrong Zhou
- Jiangshan Municipal Center for Disease Control and Prevention, Quzhou, Zhejiang Province, People's Republic of China
| | - Jun Cheng
- National Center for Tuberculosis Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People's Republic of China
| | - Hao Yu
- Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, Jiangsu Province, People's Republic of China
| | - Lihong Tang
- Minhang District Center for Disease Control and Prevention, Shanghai, People's Republic of China
| | - Bin Chen
- Department of Tuberculosis Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang Province, People's Republic of China
| | - Wei Wang
- Department of Tuberculosis Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang Province, People's Republic of China
| | - Fei Wang
- Department of Tuberculosis Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang Province, People's Republic of China
| | - Tieniu He
- Department of Tuberculosis Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang Province, People's Republic of China
| | - Yu Zhang
- Department of Tuberculosis Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang Province, People's Republic of China
| | - Lin Zhou
- Department of Tuberculosis Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang Province, People's Republic of China
| | - Songhua Chen
- Department of Tuberculosis Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang Province, People's Republic of China
| | - Chengliang Chai
- Department of Tuberculosis Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang Province, People's Republic of China
| | - Hongdan Bao
- Department of Tuberculosis Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang Province, People's Republic of China
| | - Xiaomeng Wang
- Department of Tuberculosis Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang Province, People's Republic of China.
| | - Jianmin Jiang
- Department of Tuberculosis Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang Province, People's Republic of China; Key Laboratory of Vaccine, Prevention and Control of Infectious Disease of Zhejiang Province, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang Province, People's Republic of China.
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Liam C, Ho G, Chai C, Bt Alip A, Pang Y. P3.13-15 First-Line Afatinib Dose Initiation and Adjustment in Patients with EGFR Mutant Advanced Non-Small Cell Lung Cancer. J Thorac Oncol 2018. [DOI: 10.1016/j.jtho.2018.08.1855] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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Liam C, Ho G, Chai C, Bt Alip A, Pang Y. P3.15-21 Real-World Experience of First-Line Afatinib Treatment in Patients with EGFR Mutant Advanced Non-Small Cell Lung Cancer. J Thorac Oncol 2018. [DOI: 10.1016/j.jtho.2018.08.1897] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
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22
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Liam C, Ho G, Chai C, Bt Alip A, Pang Y. P1.15-15 Real-world Experience with Afatinib after Failure of First-Generation Epidermal Growth Factor Receptor-Tyrosine Kinase Inhibitor. J Thorac Oncol 2018. [DOI: 10.1016/j.jtho.2018.08.947] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
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Li Q, Wang B, Yang L, Peng C, Ma L, Chai C. Assessment of adrenomedullin and proadrenomedullin as predictors of mortality in septic patients: A systematic review and meta-analysis. ACTA ACUST UNITED AC 2018. [DOI: 10.1016/j.medine.2017.10.013] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
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Shi X, Wong YD, Li MZF, Chai C. Key risk indicators for accident assessment conditioned on pre-crash vehicle trajectory. Accid Anal Prev 2018; 117:346-356. [PMID: 29772388 DOI: 10.1016/j.aap.2018.05.007] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/27/2017] [Revised: 05/04/2018] [Accepted: 05/07/2018] [Indexed: 06/08/2023]
Abstract
Accident events are generally unexpected and occur rarely. Pre-accident risk assessment by surrogate indicators is an effective way to identify risk levels and thus boost accident prediction. Herein, the concept of Key Risk Indicator (KRI) is proposed, which assesses risk exposures using hybrid indicators. Seven metrics are shortlisted as the basic indicators in KRI, with evaluation in terms of risk behaviour, risk avoidance, and risk margin. A typical real-world chain-collision accident and its antecedent (pre-crash) road traffic movements are retrieved from surveillance video footage, and a grid remapping method is proposed for data extraction and coordinates transformation. To investigate the feasibility of each indicator in risk assessment, a temporal-spatial case-control is designed. By comparison, Time Integrated Time-to-collision (TIT) performs better in identifying pre-accident risk conditions; while Crash Potential Index (CPI) is helpful in further picking out the severest ones (the near-accident). Based on TIT and CPI, the expressions of KRIs are developed, which enable us to evaluate risk severity with three levels, as well as the likelihood. KRI-based risk assessment also reveals predictive insights about a potential accident, including at-risk vehicles, locations and time. Furthermore, straightforward thresholds are defined flexibly in KRIs, since the impact of different threshold values is found not to be very critical. For better validation, another independent real-world accident sample is examined, and the two results are in close agreement. Hierarchical indicators such as KRIs offer new insights about pre-accident risk exposures, which is helpful for accident assessment and prediction.
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Affiliation(s)
- X Shi
- School of Civil & Environmental Engineering, Nanyang Technological University, 639798, Singapore.
| | - Y D Wong
- School of Civil & Environmental Engineering, Nanyang Technological University, 639798, Singapore.
| | - M Z F Li
- Nanyang Business School, Nanyang Technological University, 639798, Singapore.
| | - C Chai
- College of Transportation Engineering, Tongji University, 201804, China.
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Liu K, Huang S, Miao ZP, Chen B, Jiang T, Cai G, Jiang Z, Chen Y, Wang Z, Gu H, Chai C, Jiang J. Identifying Potential Norovirus Epidemics in China via Internet Surveillance. J Med Internet Res 2017; 19:e282. [PMID: 28790023 PMCID: PMC5566627 DOI: 10.2196/jmir.7855] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2017] [Revised: 07/05/2017] [Accepted: 07/10/2017] [Indexed: 12/23/2022] Open
Abstract
Background Norovirus is a common virus that causes acute gastroenteritis worldwide, but a monitoring system for norovirus is unavailable in China. Objective We aimed to identify norovirus epidemics through Internet surveillance and construct an appropriate model to predict potential norovirus infections. Methods The norovirus-related data of a selected outbreak in Jiaxing Municipality, Zhejiang Province of China, in 2014 were collected from immediate epidemiological investigation, and the Internet search volume, as indicated by the Baidu Index, was acquired from the Baidu search engine. All correlated search keywords in relation to norovirus were captured, screened, and composited to establish the composite Baidu Index at different time lags by Spearman rank correlation. The optimal model was chosen and possibly predicted maps in Zhejiang Province were presented by ArcGIS software. Results The combination of two vital keywords at a time lag of 1 day was ultimately identified as optimal (ρ=.924, P<.001). The exponential curve model was constructed to fit the trend of this epidemic, suggesting that a one-unit increase in the mean composite Baidu Index contributed to an increase of norovirus infections by 2.15 times during the outbreak. In addition to Jiaxing Municipality, Hangzhou Municipality might have had some potential epidemics in the study time from the predicted model. Conclusions Although there are limitations with early warning and unavoidable biases, Internet surveillance may be still useful for the monitoring of norovirus epidemics when a monitoring system is unavailable.
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Affiliation(s)
- Kui Liu
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China.,Key Laboratory of Vaccine, Prevention and Control of Infectious Disease of Zhejiang Province, Hangzhou, China
| | - Sichao Huang
- School of Medicine, Ningbo University, Ningbo, China
| | - Zi-Ping Miao
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China.,Key Laboratory of Vaccine, Prevention and Control of Infectious Disease of Zhejiang Province, Hangzhou, China
| | - Bin Chen
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China.,Key Laboratory of Vaccine, Prevention and Control of Infectious Disease of Zhejiang Province, Hangzhou, China
| | - Tao Jiang
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Gaofeng Cai
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Zhenggang Jiang
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Yongdi Chen
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Zhengting Wang
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Hua Gu
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Chengliang Chai
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China.,Key Laboratory of Vaccine, Prevention and Control of Infectious Disease of Zhejiang Province, Hangzhou, China
| | - Jianmin Jiang
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China.,Key Laboratory of Vaccine, Prevention and Control of Infectious Disease of Zhejiang Province, Hangzhou, China
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Shang X, Fu X, Zhang P, Sheng M, Song J, He F, Qiu Y, Wu H, Lu Q, Feng Y, Lin J, Chen E, Chai C. An outbreak of norovirus-associated acute gastroenteritis associated with contaminated barrelled water in many schools in Zhejiang, China. PLoS One 2017; 12:e0171307. [PMID: 28170414 PMCID: PMC5295720 DOI: 10.1371/journal.pone.0171307] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2016] [Accepted: 01/18/2017] [Indexed: 11/28/2022] Open
Abstract
Objectives More than 900 students and teachers at many schools in Jiaxing city developed acute gastroenteritis in February 2014. An immediate epidemiological investigation was conducted to identify the pathogen, infection sources and route of transmission. Methods The probable cases and confirmed cases were defined as students or teachers with diarrhoea or vomiting present since the term began in February 2014. An active search was conducted for undiagnosed cases among students and teachers. Details such as demographic characteristics, gastrointestinal symptoms, and drinking water preference and frequency were collected via a uniform epidemiological questionnaire. A case-control study was implemented, and odds ratios (ORs) and 95% confidence intervals were calculated. Rectal swabs from several patients, food handlers and barrelled water factory workers, as well as water and food samples, were collected to test for potential bacteria and viruses. Results A total of 924 cases fit the definition of the probable case, including 8 cases of laboratory-confirmed norovirus infection at 13 schools in Jiaxing city between February 12 and February 21, 2014. The case-control study demonstrated that barrelled water was a risk factor (OR: 20.15, 95% CI: 2.59–156.76) and that bottled water and boiled barrelled water were protective factors (OR: 0.31, 95% CI: 0.13–0.70, and OR: 0.36, 95% CI: 0.16–0.77). A total of 11 rectal samples and 8 barrelled water samples were detected as norovirus-positive, and the genotypes of viral strains were the same (GII). The norovirus that contaminated the barrelled water largely came from the asymptomatic workers. Conclusions This acute gastroenteritis outbreak was caused by barrelled water contaminated by norovirus. The outbreak was controlled after stopping the supply of barrelled water. The barrelled water supply in China represents a potential source of acute gastroenteritis outbreaks due to the lack of surveillance and supervision. Therefore, more attention should be paid to this area.
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Affiliation(s)
- Xiaopeng Shang
- Department of Public Health Surveillance and Advisory, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang, China
| | - Xiaofei Fu
- Department of Communicable Disease Control and Prevention, The Center for Disease of Jiaxing City, Jiaxing, Zhejiang,China
| | - Peng Zhang
- Department of Center Office, The Center for Disease Control and Prevention of Huzhou City, Huzhou, Zhejiang, China
| | - Minyang Sheng
- Department of Center Office, The Center for Disease Control and Prevention of Haining County, Jiaxing, Zhejiang, China
| | - Jianqiang Song
- Department of Center Office, The Center for Disease Control and Prevention of Haiyan County, Jiaxing, Zhejiang, China
| | - Fan He
- Department of Public Health Surveillance and Advisory, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang, China
| | - Yinwei Qiu
- Department of Public Health Surveillance and Advisory, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang, China
| | - Haocheng Wu
- Department of Public Health Surveillance and Advisory, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang, China
| | - Qinbao Lu
- Department of Public Health Surveillance and Advisory, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang, China
| | - Yan Feng
- Department of Public Health Surveillance and Advisory, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang, China
| | - Junfen Lin
- Department of Public Health Surveillance and Advisory, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang, China
| | - Enfu Chen
- Department of Public Health Surveillance and Advisory, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang, China
- * E-mail: (EC); (CC)
| | - Chengliang Chai
- Department of Public Health Surveillance and Advisory, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang, China
- * E-mail: (EC); (CC)
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Chen H, Liu S, Liu J, Chai C, Mao H, Yu Z, Tang Y, Zhu G, Chen HX, Zhu C, Shao H, Tan S, Wang Q, Bi Y, Zou Z, Liu G, Jin T, Jiang C, Gao GF, Peiris M, Yu H, Chen E. Nosocomial Co-Transmission of Avian Influenza A(H7N9) and A(H1N1)pdm09 Viruses between 2 Patients with Hematologic Disorders. Emerg Infect Dis 2016; 22:598-607. [PMID: 26982379 PMCID: PMC4806937 DOI: 10.3201/eid2204.151561] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
Abstract
Transmission of these viruses was limited to 2 immunocompromised patients in the same ward. A nosocomial cluster induced by co-infections with avian influenza A(H7N9) and A(H1N1)pdm09 (pH1N1) viruses occurred in 2 patients at a hospital in Zhejiang Province, China, in January 2014. The index case-patient was a 57-year-old man with chronic lymphocytic leukemia who had been occupationally exposed to poultry. He had co-infection with H7N9 and pH1N1 viruses. A 71-year-old man with polycythemia vera who was in the same ward as the index case-patient for 6 days acquired infection with H7N9 and pH1N1 viruses. The incubation period for the second case-patient was estimated to be <4 days. Both case-patients died of multiple organ failure. Virus genetic sequences from the 2 case-patients were identical. Of 103 close contacts, none had acute respiratory symptoms; all were negative for H7N9 virus. Serum samples from both case-patients demonstrated strong proinflammatory cytokine secretion but incompetent protective immune responses. These findings strongly suggest limited nosocomial co-transmission of H7N9 and pH1N1 viruses from 1 immunocompromised patient to another.
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MESH Headings
- Aged
- Animals
- China
- Cross Infection/diagnosis
- Cross Infection/pathology
- Cross Infection/transmission
- Cross Infection/virology
- Cytokines/biosynthesis
- Cytokines/immunology
- Fatal Outcome
- Humans
- Immunocompromised Host
- Influenza A Virus, H1N1 Subtype/genetics
- Influenza A Virus, H1N1 Subtype/isolation & purification
- Influenza A Virus, H1N1 Subtype/physiology
- Influenza A Virus, H7N9 Subtype/genetics
- Influenza A Virus, H7N9 Subtype/isolation & purification
- Influenza A Virus, H7N9 Subtype/physiology
- Influenza in Birds/transmission
- Influenza in Birds/virology
- Influenza, Human/complications
- Influenza, Human/immunology
- Influenza, Human/transmission
- Influenza, Human/virology
- Leukemia, Lymphocytic, Chronic, B-Cell/complications
- Leukemia, Lymphocytic, Chronic, B-Cell/immunology
- Leukemia, Lymphocytic, Chronic, B-Cell/virology
- Male
- Middle Aged
- Occupational Exposure
- Polycythemia Vera/complications
- Polycythemia Vera/immunology
- Polycythemia Vera/virology
- Poultry
- Poultry Diseases/transmission
- Poultry Diseases/virology
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Chai C, Song LJ, Yang B, Han SY, Li XQ, Li M. Circulating miR-199a-3p in plasma and its potential diagnostic and prognostic value in glioma. Eur Rev Med Pharmacol Sci 2016; 20:4885-4890. [PMID: 27981547] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/06/2023]
Abstract
OBJECTIVE The present study aimed to examine the possibility of using plasma miR-199a-3p as a biomarker for glioma. PATIENTS AND METHODS Plasma miR-199a-3p expression glioma patients and normal healthy controls were quantified by Quantitative reverse transcription PCR. Then, the associations of serum miR-199a-3p level with clinicopathological factors or survival of glioma patients were further evaluated. Receiver operating characteristics (ROC) and area under the ROC curve (AUC) were used to validate the diagnostic value of miR-199a-3p. Univariate and multivariate Cox regression analyses were finally performed to analyze the independent factors for overall survival. RESULTS The qRT-PCR results showed that the miR-199a-3p expression was significantly downregulated in glioma tissues compared with the adjacent non-tumor tissues (p<0.01). Furthermore, plasma miR-199a-3p level was significantly lower in glioma patients when compared with healthy controls (p<0.01). ROC curve analysis showed that plasma miR-199a-3p was a useful marker for discriminating cases from healthy controls, with an area under the ROC curve (AUC) of 0.8466 (95% confidence interval (CI) 0.772 to 0.9211, p<0.001). Moreover, miR-199a-3p expression was associated with various clinicopathological parameters, including WHO grade (p=0.001) and KPS score (p=0.008). We found that glioma patients with low miR-199a-3p expression level had distinctly shorter overall survival than patients with high miR-199a-3p expression level (p=0.0067). Univariate and multivariate analysis suggested that miR-199a-3p expression was an independent predictor of poor prognosis. CONCLUSIONS These findings indicated that the circulating miR-199a-3p could be used as a promising novel biomarker for the diagnosis and prognosis of glioma.
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Affiliation(s)
- C Chai
- Henan Eye Institute, Henan Provincial People's Hospital, Zhengzhou, China.
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Ding J, Chai C, Pui A, Ho B. Expression of full length and deletion homologues of Carcinoscorpius rotundicauda Factor C in Saccharomyces cerevisiae: immunoreactivity and endotoxin binding. ACTA ACUST UNITED AC 2016. [DOI: 10.1177/096805199700400105] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Deletion homologues of the cloned Factor C cDNAs from the horseshoe crab Carcinoscorpius rotundicauda were engineered to express in Saccharomyces cerevisiae under the regulation of a galactose-inducible promoter. Expression cassettes were constructed in the vectors: pEMBLyex4 and YEpsec1 to direct, respectively, the intracellular expression, and the secretion of the protein into the culture medium using a heterologous signal sequence. The effect of insert size on the efficiency of expression and the functionality of the resulting recombinant Factor C (rFC) were studied by creating expression constructs bearing various deletion and/or hybrid fragments of Factor C. Removal of the long 5' UTR from the Factor C cDNA improved expression of the rFC. 3' Deletions of up to 84%, or internal deletions of 65% of the Factor C cDNA resulted in either the lack of detectable amounts of Factor C or loss of immunoreactivity. Depending on the construct, full length or partial rFC-related proteins were correspondingly expressed intracellularly, regardless of the vector. The rFC partitioned with the insoluble cell fraction, was solubilised with either SDS or Triton X-100, and found to be immunoreactive. The rFCs were functionally active, being able to bind Gram-negative bacterial endotoxin, provided critical regions of the endotoxin-binding domain were preserved.
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Affiliation(s)
- J.L. Ding
- Marine Biotechnology Laboratory and BioScience Centre,
| | - C. Chai
- Department of Microbiology, School of Biological Sciences National University of Singapore, Singapore
| | - A.W.M. Pui
- Marine Biotechnology Laboratory and BioScience Centre
| | - B. Ho
- Department of Microbiology, School of Biological Sciences National University of Singapore, Singapore
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Zhang L, Sun J, Yan J, Lv H, Chai C, Sun Y, Shao B, Jiang J, Chen Z, Kortekaas J, Zhang Y. Antibodies against severe fever with thrombocytopenia syndrome virus in healthy persons, China, 2013. Emerg Infect Dis 2016; 20:1355-7. [PMID: 25061813 PMCID: PMC4111193 DOI: 10.3201/eid2008.131796] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
In June 2013, a subclinical infection with severe fever with thrombocytopenia syndrome virus (SFTSV) was detected in Zhejiang Province, China, prompting seroprevalence studies in 6 districts within the province. Of 986 healthy persons tested, 71 had IgG antibodies against SFTSV. This finding suggests that most natural infections with SFTSV are mild or subclinical.
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Chen B, Peng Y, Zhou L, Chai C, Yeh HC, Chen S, Wang F, Zhang M, He T, Wang X. Social support received by multidrug-resistant tuberculosis patients and related factors: a cross-sectional study in Zhejiang Province, People's Republic of China. Patient Prefer Adherence 2016; 10:1063-70. [PMID: 27358557 PMCID: PMC4912324 DOI: 10.2147/ppa.s105655] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
OBJECTIVES The objective of this study is to assess the social support received by patients diagnosed with multidrug-resistant tuberculosis (MDR-TB) in Zhejiang Province, People's Republic of China and the factors that may have influenced it. METHODS A total of 220 MDR-TB patients participated in the questionnaire-based survey, and the data from 212 valid questionnaires were analyzed. The respondents reported their sociodemographic status, disease features, and attitudes toward the disease. The social support rating scale was used to measure the patients' social support scores. An Independent Samples t-test, one-way analysis of variance, and a multiple linear regression model were used to analyze the related factors for the social support scores. RESULT The average social support score of each MDR-TB patient was 32.56±7.86. Participants who were single, widowed or divorced, retired, and had fewer family members and lower family income were found to have lower social support scores. Participants unwilling to disclose their disease tended to have less social support (31.59<34.23, P=0.010). Participants who perceived great help from health care workers reported higher social support rating scale scores than those who perceived no help (35.36.29.89, P=0.014). CONCLUSION MDR-TB patients in Zhejiang Province were shown to have a low level of social support. Patients who were not married, had smaller families, and lower family income received less social support, suggesting that family harmony could be an important source of social support. Patients' self-isolation may contribute to a decrease in the amount of support they receive from their surroundings. Health care organizations need to offer more social support to MDR-TB patients.
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Affiliation(s)
- Bin Chen
- Department of Tuberculosis Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Binjiang District, Hangzhou, People’s Republic of China
| | - Yin Peng
- Department of Tuberculosis Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Binjiang District, Hangzhou, People’s Republic of China
| | - Lin Zhou
- Department of Tuberculosis Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Binjiang District, Hangzhou, People’s Republic of China
| | - Chengliang Chai
- Department of Tuberculosis Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Binjiang District, Hangzhou, People’s Republic of China
| | - Hui-Chi Yeh
- Politics & International Relations, Social Sciences, University of Southampton, Southampton, UK
| | - Songhua Chen
- Department of Tuberculosis Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Binjiang District, Hangzhou, People’s Republic of China
| | - Fei Wang
- Department of Tuberculosis Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Binjiang District, Hangzhou, People’s Republic of China
| | - Mingwu Zhang
- Department of Tuberculosis Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Binjiang District, Hangzhou, People’s Republic of China
| | - Tieniu He
- Department of Tuberculosis Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Binjiang District, Hangzhou, People’s Republic of China
| | - Xiaomeng Wang
- Department of Tuberculosis Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Binjiang District, Hangzhou, People’s Republic of China
- Correspondence: Xiaomeng Wang, Department of Tuberculosis Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, No 3399, Binsheng Road, Binjiang District, Hangzhou 310051, People’s Republic of China, Tel/fax +86 571 8711 5183, Email
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Tong Z, Wang J, Wu H, Chen E, Chai C. [A review on the epidemiology of Middle East Respiratory Syndrome]. Zhonghua Liu Xing Bing Xue Za Zhi 2015; 36:765-768. [PMID: 26564711] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/05/2023]
Affiliation(s)
- Zhendong Tong
- Zhoushan Center for Disease Control and Prevention, Zhejiang 316021, China
| | - Jianyue Wang
- Zhoushan Center for Disease Control and Prevention, Zhejiang 316021, China;
| | - Hui Wu
- Medicine College of Nanchang University, Zhejiang 316021, China
| | - Enfu Chen
- Zhejiang Provincial Center for Disease Control and Prevention, Zhejiang 316021, China
| | - Chengliang Chai
- Zhejiang Provincial Center for Disease Control and Prevention, Zhejiang 316021, China
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Wu P, Jiang H, Wu JT, Chen E, He J, Zhou H, Wei L, Yang J, Yang B, Qin Y, Fang VJ, Li M, Tsang TK, Zheng J, Lau EHY, Cao Y, Chai C, Zhong H, Li Z, Leung GM, Feng L, Gao GF, Cowling BJ, Yu H. Poultry market closures and human infection with influenza A(H7N9) virus, China, 2013-14. Emerg Infect Dis 2015; 20:1891-4. [PMID: 25340354 PMCID: PMC4214308 DOI: 10.3201/eid2011.140556] [Citation(s) in RCA: 46] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
Abstract
Closure of live poultry markets was implemented in areas affected by the influenza virus A(H7N9) outbreak in China during winter, 2013–14. Our analysis showed that closing live poultry markets in the most affected cities of Guangdong and Zhejiang provinces was highly effective in reducing the risk for H7N9 infection in humans.
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Affiliation(s)
- C. Chai
- Ph.D. Candidate, Center for Infrastructure Systems, Nanyang Technological Univ., 50 Nanyang Ave., Singapore 639798, Singapore (corresponding author)
| | - Y. D. Wong
- Associate Professor, Center Director, Center for Infrastructure Systems, Nanyang Technological Univ., 50 Nanyang Ave., Singapore 639798, Singapore
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Sun J, Lin J, Gong Z, Chang Y, Ye X, Gu S, Pang W, Wang C, Zheng X, Hou J, Ling F, Shi X, Jiang J, Chen Z, Lv H, Chai C. Detection of spotted fever group Rickettsiae in ticks from Zhejiang Province, China. Exp Appl Acarol 2015; 65:403-11. [PMID: 25633265 PMCID: PMC4322220 DOI: 10.1007/s10493-015-9880-9] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/02/2014] [Accepted: 12/30/2014] [Indexed: 05/12/2023]
Abstract
Tick species distribution and prevalence of spotted fever group Rickettsiae (SFGR) in ticks were investigated in Zhejiang Province, China in 2010 and 2011. PCR was used to detect SFGR and positive amplicons were sequenced, compared to published sequences and phylogenic analysis was performed using MEGA 4.0. A total of 292 adult ticks of ten species were captured and 7.5 % (22/292) of the ticks were PCR-positive for SFG Rickettsia. The PCR-positive rates were 5.5 % (6/110) for Haemaphysalis longicornis, 3.6 % (1/28) for Amblyomma testudinarium and 16 % (15/94) for Ixodes sinensis, respectively. Phylogenetic analyses of gltA genes detected in ticks indicated that there are two dominating groups of SFGR. Sequences of group one were closely related to Rickettsia monacensis, whereas sequences of group two were closest related to Rickettsia heilongjiangensis and Rickettsia japonica, which are human pathogens. Our findings underline the importance of these ticks in public health surveillance in Zhejiang Province, China.
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Affiliation(s)
- Jimin Sun
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Junfen Lin
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Zhenyu Gong
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Yue Chang
- Taizhou Municipal Center for Disease Control and Prevention, Taizhou, China
| | - Xiaodong Ye
- Jindong Center for Disease Control and Prevention, Jindong, China
| | - Shiping Gu
- Anji Center for Disease Control and Prevention, Anji, China
| | - Weilong Pang
- Tiantai Center for Disease Control and Prevention, Taizhou, China
| | - Chengwei Wang
- Daishan Center for Disease Control and Prevention, Daishan, China
| | - Xiaohua Zheng
- Xianju Center for Disease Control and Prevention, Xianju, China
| | - Juan Hou
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Feng Ling
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Xuguang Shi
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Jianmin Jiang
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Zhiping Chen
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Huakun Lv
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Chengliang Chai
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
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Ding H, Chen Y, Yu Z, Horby PW, Wang F, Hu J, Yang X, Mao H, Qin S, Chai C, Liu S, Chen E, Yu H. A family cluster of three confirmed cases infected with avian influenza A (H7N9) virus in Zhejiang Province of China. BMC Infect Dis 2014; 14:698. [PMID: 25551435 PMCID: PMC4304124 DOI: 10.1186/s12879-014-0698-6] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2014] [Accepted: 12/11/2014] [Indexed: 12/02/2022] Open
Abstract
Background A total of 453 laboratory-confirmed cases infected with avian influenza A (H7N9) virus (including 175 deaths) have been reported till October 2,2014, of which 30.68% (139/453) of the cases were identified from Zhejiang Province. We describe the largest reported cluster of virologically confirmed H7N9 cases, comprised by a fatal Index case and two mild secondary cases. Methods A retrospective investigation was conducted in January of 2014. Three confirmed cases, their close contacts, and relevant environments samples were tested by real-time reverse transcriptase-polymerase chain reaction (RT-PCR), viral culture, and sequencing. Serum samples were tested by haemagglutination inhibition (HI) assay. Results The Index case, a 49-year-old farmer with type II diabetes, who lived with his daughter (Case 2, aged 24) and wife (Case 3, aged 43) and his son-in-law (H7N9 negative). The Index case and Case 3 worked daily in a live bird market. Onset of illness in Index case occurred in January 13, 2014 and subsequently, he died of multi-organ failure on January 20. Case 2 presented with mild symptoms on January 20 following frequent unprotected bed-side care of the Index case between January 14 to 19, and exposed to live bird market on January 17. Case 3 became unwell on January 23 after providing bedside care to the Index case on January 17 to 18, and following the contact with Case 2 during January 21 to 22 at the funeral of the Index case. The two secondary cases were discharged on February 2 and 5 separately after early treatment with antiviral medication. Four virus strains were isolated and genome analyses showed 99.6 ~100% genetic homology, with two amino mutations (V192I in NS and V280A in NP). 42% (11/26) of environmental samples collected in January were H7N9 positive. Twenty-five close contacts remained well and were negative for H7N9 infection by RT-PCR and HI assay. Conclusions In the present study, the Index case was infected from a live bird market while the two secondary cases were infected by the Index case during unprotected exposure. This family cluster is, therefore, compatible with non-sustained person-to-person transmission of avian influenza A/H7N9. Electronic supplementary material The online version of this article (doi:10.1186/s12879-014-0698-6) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Hua Ding
- Hangzhou Centre for Disease Control and Prevention, Hangzhou, Zhejiang Province, China.
| | - Yin Chen
- Zhejiang Provincial Centre for Disease Control and Prevention, Hangzhou, Zhejiang Province, China.
| | - Zhao Yu
- Zhejiang Provincial Centre for Disease Control and Prevention, Hangzhou, Zhejiang Province, China.
| | - Peter W Horby
- Oxford University Clinical Research Unit-Wellcome Trust Major Overseas Programme, Hu Chi Minh City, Vietnam. .,Centre for Tropical Medicine, Nuffield Department of Clinical Medicine, Oxford University, Oxford, United Kingdom. .,Singapore Infectious Disease Initiative, Singapore City, Singapore.
| | - Fenjuan Wang
- XiaoShan District Centre for Disease Control and Prevention, Hangzhou, Zhejiang Province, China.
| | - Jingfeng Hu
- ShangCheng District Centre for Disease Control and Prevention, Hangzhou, Zhejiang Province, China.
| | - Xuhui Yang
- Hangzhou Centre for Disease Control and Prevention, Hangzhou, Zhejiang Province, China.
| | - Haiyan Mao
- Zhejiang Provincial Centre for Disease Control and Prevention, Hangzhou, Zhejiang Province, China.
| | - Shuwen Qin
- Zhejiang Provincial Centre for Disease Control and Prevention, Hangzhou, Zhejiang Province, China.
| | - Chengliang Chai
- Zhejiang Provincial Centre for Disease Control and Prevention, Hangzhou, Zhejiang Province, China.
| | - Shelan Liu
- Zhejiang Provincial Centre for Disease Control and Prevention, Hangzhou, Zhejiang Province, China.
| | - Enfu Chen
- Zhejiang Provincial Centre for Disease Control and Prevention, Hangzhou, Zhejiang Province, China. .,Department of Infectious Diseases, Zhejiang Provincial Center for Disease Control and Prevention, 3399 Binsheng Road, Binjiang District, Hangzhou, Zhejiang, 310051, China.
| | - Hongjie Yu
- Division of Infectious Disease, Key Laboratory of Surveillance and Early-warning on Infectious Disease, Chinese Center for Disease Control and Prevention, No. 155 Changbai Road, Changping District, Beijing, China.
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Hou J, Ling F, Chai C, Lu Y, Yu X, Lin J, Sun J, Chang Y, Ye X, Gu S, Pang W, Wang C, Zheng X, Jiang J, Chen Z, Gong Z. Prevalence of Borrelia burgdorferi sensu lato in ticks from eastern China. Am J Trop Med Hyg 2014; 92:262-266. [PMID: 25548382 PMCID: PMC4347326 DOI: 10.4269/ajtmh.14-0587] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Abstract
To explore the tick distribution and prevalence of Borrelia in Zhejiang Province, we performed a survey in nine sites. A total of 447 adult ticks of 11 species were captured and the dominant tick species were Haemaphysalis longicornis and Ixodes sinensis and the abundance of tick species in different areas varied significantly. Overall, 4.70% of the ticks were polymerase chain reaction (PCR) positive for Borrelia. The average PCR positive rates were 5.19% for H. longicornis, 3.45% for Amblyomma testudinarium, 1.06% for I. sinensis, 5.00% for Rhipicephalus (Boophilus) microplus, and 19.44% for Ixodes granulatus, respectively. No Borrelia DNA was detected in Rhiphicephalus haemaphysaloides, Haemaphysalis yeni, Dermacentor taiwanensis, Haemaphysalis hystricis, Hyalomna asiaticum, and Ixodes ovatus. The prevalence of Borrelia was significantly different among tick species and the prevalence in I. granulatus was significantly higher than that in other tick species. Of note, experimentally confirmed vectors for B. burgdorferi s.l. including I. sinensis and I. granulatus were found in Zhejiang Province. Two species of B. burgdorferi s.l. exist in Zhejiang Province of which 12 sequences were most similar to the sequence of Borrelia garinii and nine sequences were most similar to the sequence of Borrelia valaisiana or Borrelia yangtze sp. nov.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Zhenyu Gong
- *Address correspondence to Zhenyu Gong, Zhejiang Provincial Center for Disease Control and Prevention, Binsheng Road 3399, Hangzhou, China 310051. E-mail:
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Abstract
OBJECTIVE This study applies a simulation technique to evaluate the hypothesis that red light cameras (RLCs) exert important effects on accident risks. Conflict occurrences are generated by simulation and compared at intersections with and without RLCs to assess the impact of RLCs on several conflict types under various traffic conditions. METHOD Conflict occurrences are generated through simulating vehicular interactions based on an improved cellular automata (CA) model. The CA model is calibrated and validated against field observations at approaches with and without RLCs. Simulation experiments are conducted for RLC and non-RLC intersections with different geometric layouts and traffic demands to generate conflict occurrences that are analyzed to evaluate the hypothesis that RLCs exert important effects on road safety. RESULTS The comparison of simulated conflict occurrences show favorable safety impacts of RLCs on crossing conflicts and unfavorable impacts for rear-end conflicts during red/amber phases. Corroborative results are found from broad analysis of accident occurrence. CONCLUSIONS RLCs are found to have a mixed effect on accident risk at signalized intersections: crossing collisions are reduced, whereas rear-end collisions may increase. The specially developed CA model is found to be a feasible safety assessment tool.
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Affiliation(s)
- C Chai
- a Centre for Infrastructure Systems, School of Civil and Environmental Engineering , Nanyang Technological University , Singapore
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Sun J, Chai C, Lv H, Lin J, Wang C, Chen E, Zhang Y, Chen Z, Liu S, Gong Z, Jiang J. Epidemiological characteristics of severe fever with thrombocytopenia syndrome in Zhejiang Province, China. Int J Infect Dis 2014; 25:180-5. [PMID: 24947422 DOI: 10.1016/j.ijid.2014.02.022] [Citation(s) in RCA: 35] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2014] [Revised: 02/25/2014] [Accepted: 02/25/2014] [Indexed: 10/25/2022] Open
Abstract
OBJECTIVES To summarize the epidemiological characteristics of severe fever with thrombocytopenia syndrome (SFTS) in Zhejiang Province, China. METHODS A standardized questionnaire was used to collect information on demographic features, exposure history, clinical symptoms, and timelines of medical visits. Descriptive statistics were used to analyze the characteristics of SFTS. RESULTS A total of 65 cases of SFTS were identified in Zhejiang Province from 2011 to 2013, of whom 34 were male and 31 were female. The median age was 66 years and 60 cases occurred in persons aged ≥ 50 years. The majority (91%) of SFTS cases occurred between May and August. With regard to exposure history, patients had pursued outdoor activities (63%), had a history of exposure to a tick (68%) or tick bite (29%), bred domestic animals (31%), or had a history of exposure to a mouse (57%), and some patients had a multi-exposure history. Approximately 98.46% of patients were hospitalized, and symptoms of the illness included fever (98%), fatigue (71%), chills (51%), etc. Two family clusters occurred, although there was no person-to-person transmission. CONCLUSIONS In Zhejiang Province, SFTS is prevalent between May and August among elderly persons who live in hilly areas, and clinical features are not specific. More emphasis should be given to this disease and further training of medical personnel should be carried out to prevent misdiagnosis.
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Affiliation(s)
- Jimin Sun
- Zhejiang Provincial Centre for Disease Control and Prevention, Hangzhou, 310051, China
| | - Chengliang Chai
- Zhejiang Provincial Centre for Disease Control and Prevention, Hangzhou, 310051, China
| | - Huakun Lv
- Zhejiang Provincial Centre for Disease Control and Prevention, Hangzhou, 310051, China
| | - Junfen Lin
- Zhejiang Provincial Centre for Disease Control and Prevention, Hangzhou, 310051, China
| | - Chengwei Wang
- Daishan Centre for Disease Control and Prevention, Daishan, China
| | - Enfu Chen
- Zhejiang Provincial Centre for Disease Control and Prevention, Hangzhou, 310051, China
| | - Yanjun Zhang
- Zhejiang Provincial Centre for Disease Control and Prevention, Hangzhou, 310051, China
| | - Zhiping Chen
- Zhejiang Provincial Centre for Disease Control and Prevention, Hangzhou, 310051, China
| | - Shelan Liu
- Zhejiang Provincial Centre for Disease Control and Prevention, Hangzhou, 310051, China
| | - Zhenyu Gong
- Zhejiang Provincial Centre for Disease Control and Prevention, Hangzhou, 310051, China.
| | - Jianmin Jiang
- Zhejiang Provincial Centre for Disease Control and Prevention, Hangzhou, 310051, China.
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Cai J, Chen E, Gu H, Chai C, Fu G, Wang X. [Temporal-spatial scan clustering analysis on hand-foot-mouth disease in Zhejiang province, 2008-2013]. Zhonghua Yu Fang Yi Xue Za Zhi 2014; 48:451-455. [PMID: 25219431] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/03/2023]
Abstract
OBJECTIVE To understand the temporal-spatial distribution of hand-foot-mouth disease in Zhejiang province, from May 2008 to June 2013. METHODS The cases number and incidence data of hand-foot-mouth disease from May 2008 to June 2013 for all the counties(cities, districts) in Zhejiang province were collected from China Information System for Disease Control and Prevention, total 511 643 cases. Temporal distribution of hand-foot-mouth disease was described, the incidence maps were drawn using Epimap software. Temporal-spatial clustering was analyzed by Satscan 9.0.1 software.Log likelihood ratio(LLR) was used to assess the clustering. The year-county (city, district)-specific relative risk(RR) of hand-foot-mouth disease were calculated. RR contour maps were drawn with Arcview GIS 3.3. RESULTS In Zhejiang province, from May 2008 to June 2013, the highest incidence rate was 270.81/100 000 (147 943/54 629 996) (2012 year) and the lowest incidence rate was 135.32/100 000 (69 285/51 199 987) (2009 year). The incidence in the eastern coastal areas (217.77/100 000(286 300/131 468 746)) including Ningbo, Taizhou, Wenzhou, was higher than the western mountain areas(168.11/100 000(98 016/58 304 266)) including Quzhou, Lishui, Jinhua. The epidemic curve showed two peaks, during April to July (101.15/100 000(320 144/316 497 516)) , and during October to November (23.30/100 000 (61 088/262 148 114)) . RESULTS of temporal-spatial scan showed 10 temporal spatial aggregation areas, the strongest one was in Wenzhou city, south-east Zhejiang province, from July 2009 to June 2011(RR = 2.38, LLR = 10 650.75, P < 0.01). The relative risk maps from 2009 to 2012 were similar, the highest density areas were located in the eastern coastal Zhejiang: Longwan district, Wenzhou city (RR = 4.42 and 3.30) in 2009 and 2010 year, Pingyang county, Wenzhou city(RR = 3.04) in 2011 year, and Ninghai county, Ningbo city(RR = 2.97) in 2012. CONCLUSION The eastern coastal area had a high incidence level of hand-foot-mouth disease in Zhejiang province, 2008-2013, with the peak during April to July. Temporal-spatial clustering were observed, the disease showed a distinct regional distribution feature, eastern coastal cluster areas and mid-west cluster areas were found.
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Affiliation(s)
- Jian Cai
- Department for Communicable Disease Control and Prevetion,Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China.
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Li Y, Zhang L, Liu T, Chai C, Fang Q, Wu H, Agudelo Garcia PA, Han Z, Zong S, Yu Y, Zhang X, Parthun MR, Chai J, Xu RM, Yang M. Hat2p recognizes the histone H3 tail to specify the acetylation of the newly synthesized H3/H4 heterodimer by the Hat1p/Hat2p complex. Genes Dev 2014; 28:1217-27. [PMID: 24835250 PMCID: PMC4052767 DOI: 10.1101/gad.240531.114] [Citation(s) in RCA: 32] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
Histone post-transcriptional modifications play important roles in the regulation of replication, transcription, and DNA repair. Key questions remain regarding the role of the acetyltransferase complex Hat1p/Hat2p in chromatin remodeling. High-resolution structural studies by Li et al. now reveal how Hat1p/Hat2p recognizes and facilitates the modification of N-terminal lysine residues on the newly assembled histone H3/H4 heterodimer prior to its incorporation into chromatin. This study delineates the mechanism of substrate recognition by the Hat1p/Hat2p complex, which is critical to DNA replication and chromatin remodeling processes. Post-translational modifications of histones are significant regulators of replication, transcription, and DNA repair. Particularly, newly synthesized histone H4 in H3/H4 heterodimers becomes acetylated on N-terminal lysine residues prior to its incorporation into chromatin. Previous studies have established that the histone acetyltransferase (HAT) complex Hat1p/Hat2p medicates this modification. However, the mechanism of how Hat1p/Hat2p recognizes and facilitates the enzymatic activities on the newly assembled H3/H4 heterodimer remains unknown. Furthermore, Hat2p is a WD40 repeat protein, which is found in many histone modifier complexes. However, how the WD40 repeat proteins facilitate enzymatic activities of histone modification enzymes is unclear. In this study, we first solved the high-resolution crystal structure of a Hat1p/Hat2p/CoA/H4 peptide complex and found that the H4 tail interacts with both Hat1p and Hat2p, by which substrate recruitment is facilitated. We further discovered that H3 N-terminal peptides can bind to the Hat2p WD40 domain and solved the structure of the Hat1p/Hat2p/CoA/H4/H3 peptide complex. Moreover, the interaction with Hat2p requires unmodified Arg2/Lys4 and Lys9 on the H3 tail, suggesting a novel model to specify the activity of Hat1p/Hat2p toward newly synthesized H3/H4 heterodimers. Together, our study demonstrated the substrate recognition mechanism by the Hat1p/Hat2p complex, which is critical for DNA replication and other chromatin remodeling processes.
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Affiliation(s)
- Yang Li
- Ministry of Education Key Laboratory of Protein Sciences, Tsinghua-Peking Center for Life Sciences, School of Life Sciences, Tsinghua University, Beijing 100084, China
| | - Li Zhang
- Ministry of Education Key Laboratory of Protein Sciences, Tsinghua-Peking Center for Life Sciences, School of Life Sciences, Tsinghua University, Beijing 100084, China
| | - Tingting Liu
- Ministry of Education Key Laboratory of Protein Sciences, Tsinghua-Peking Center for Life Sciences, School of Life Sciences, Tsinghua University, Beijing 100084, China
| | - Chengliang Chai
- Ministry of Education Key Laboratory of Protein Sciences, Tsinghua-Peking Center for Life Sciences, School of Life Sciences, Tsinghua University, Beijing 100084, China
| | - Qianglin Fang
- National Laboratory of Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China
| | - Han Wu
- Ministry of Education Key Laboratory of Protein Sciences, Tsinghua-Peking Center for Life Sciences, School of Life Sciences, Tsinghua University, Beijing 100084, China
| | - Paula A Agudelo Garcia
- Department of Molecular and Cellular Biochemistry, The Ohio State University, Columbus, Ohio 43210, USA
| | - Zhifu Han
- Ministry of Education Key Laboratory of Protein Sciences, Tsinghua-Peking Center for Life Sciences, School of Life Sciences, Tsinghua University, Beijing 100084, China
| | - Shuai Zong
- Ministry of Education Key Laboratory of Protein Sciences, Tsinghua-Peking Center for Life Sciences, School of Life Sciences, Tsinghua University, Beijing 100084, China
| | - You Yu
- Ministry of Education Key Laboratory of Protein Sciences, Tsinghua-Peking Center for Life Sciences, School of Life Sciences, Tsinghua University, Beijing 100084, China
| | - Xinyue Zhang
- Ministry of Education Key Laboratory of Protein Sciences, Tsinghua-Peking Center for Life Sciences, School of Life Sciences, Tsinghua University, Beijing 100084, China
| | - Mark R Parthun
- Department of Molecular and Cellular Biochemistry, The Ohio State University, Columbus, Ohio 43210, USA
| | - Jijie Chai
- Ministry of Education Key Laboratory of Protein Sciences, Tsinghua-Peking Center for Life Sciences, School of Life Sciences, Tsinghua University, Beijing 100084, China
| | - Rui-Ming Xu
- National Laboratory of Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China
| | - Maojun Yang
- Ministry of Education Key Laboratory of Protein Sciences, Tsinghua-Peking Center for Life Sciences, School of Life Sciences, Tsinghua University, Beijing 100084, China
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Gong Z, Lv H, Ding H, Han J, Sun J, Chai C, Cai J, Yu Z, Chen E. Epidemiology of the avian influenza A (H7N9) outbreak in Zhejiang Province, China. BMC Infect Dis 2014; 14:244. [PMID: 24886478 PMCID: PMC4028008 DOI: 10.1186/1471-2334-14-244] [Citation(s) in RCA: 35] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2013] [Accepted: 04/30/2014] [Indexed: 11/27/2022] Open
Abstract
Background A novel influenza A virus infection was identified on March 31, 2013 in China and a total of 134 cases were identified in 12 provinces of China between March 25 and September 31, 2013. Of these, 46 cases occurred in Zhejiang Province and the number of patients is the largest in China. Methods Field investigations were conducted for each confirmed H7N9 case. A standardized questionnaire was used to collect information about demographics, exposure history, clinical signs and symptoms, timelines of medical visits and care after onset of illness, and close contacts. Descriptive statistics were used to analyze the epidemiological and clinical characteristics. Samples from the patients were collected and tested by real time reverse transcriptase-polymerase chain reaction and viral culture. Results A total of 46 laboratory confirmed cases of H7N9 influenza infection were identified in the Zhejiang province between March 31 and September 31, 2013 of which 29 were male and 17 were female. The median age of patients was 61.5 years and 76.09% of cases occurred in persons aged ≥50 years old. Unlike other province, 34.78% of cases in Zhejiang Province were rural residents. Among 11 deaths, 9 were male, 10 were older than 60 years old, and 10 had underlying diseases. 30 of 38 cases with available data had a recent history of poultry exposures and 8 cases had multi-exposure history. The estimated median incubation period was two days which was shorter than corresponding data in other provinces. All cases were hospitalized and the median time from illness onset to hospitalization was 5 days. Symptoms at the onset of the illness included fever, cough, expectoration, shivering, fatigue, muscular aches, nausea, vomiting. Only 4.91% contacts developed respiratory symptoms, but their samples were tested negative for H7N9 virus designating lack of human-to-human transmission of the virus. Conclusions All cases were sporadic and there was no evidence of an epidemiologic link between them. Control measures including closing affected poultry and slaughtering backyard poultry are needed not only in urban areas but also in rural areas to reduce human H7N9 infection risk.
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Affiliation(s)
| | | | | | | | | | | | | | | | - Enfu Chen
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China.
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Sun J, Gong Z, Lv H, Chen Z, Chai C, Liu S, Ling F, Lu Y, Cai J, Yu Z, Miao Z, Ren J, Chen E. Comparison of characteristics between patients with H7N9 living in rural and urban areas of Zhejiang Province, China: a preliminary report. PLoS One 2014; 9:e93775. [PMID: 24710171 PMCID: PMC3977906 DOI: 10.1371/journal.pone.0093775] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2013] [Accepted: 03/09/2014] [Indexed: 11/25/2022] Open
Abstract
A total of 134 cases of H7N9 influenza infection were identified in 12 provinces of China between March 25 and September 31, 2013. Of these, 46 cases occurred in Zhejiang Province. We carried out a preliminary comparison of characteristics between rural and urban H7N9 cases from Zhejiang Province, China. Field investigations were conducted for each confirmed H7N9 case. A standardized questionnaire was used to collect information about demographics, exposure history, clinical signs and symptoms, timelines of medical visits and care after onset of illness. Of the 46 H7N9 cases in Zhejiang Province identified between March 25 and September 31, 2013, there were 16 rural cases and 30 urban cases. Compared to urban cases, there was a higher proportion of females among the rural cases [11/16 (69%) vs. 6/30 (20%), P = 0.001]. Among the rural cases, 14/15 (93%) with available data had a history of recent poultry exposure, which was significantly higher than that among urban cases (64%, P = 0.038). More patients from the rural group had a history of breeding poultry compared with those from the urban group [38% (6/16) vs. 10% (3/30), respectively; P = 0.025]. Interestingly, the median number of medical visits of patients from rural areas was higher than that of patients from urban areas (P = 0.046). There was no difference between the two groups in terms of age distribution, fatality rate, incubation period, symptoms, and underlying medical conditions. In conclusion, compared to patients from urban areas, more patients from rural areas were female, had an exposure history, had a history of breeding poultry, and had a higher number of medical visits. These findings indicate that there are different exposure patterns between patients living in rural and urban areas and that more rural cases were infected through backyard poultry breeding.
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Affiliation(s)
- Jimin Sun
- Zhejiang Provincial Center for Disease Control and Prevention, Hang Zhou, China
| | - Zhenyu Gong
- Zhejiang Provincial Center for Disease Control and Prevention, Hang Zhou, China
| | - Huakun Lv
- Zhejiang Provincial Center for Disease Control and Prevention, Hang Zhou, China
| | - Zhiping Chen
- Zhejiang Provincial Center for Disease Control and Prevention, Hang Zhou, China
| | - Chengliang Chai
- Zhejiang Provincial Center for Disease Control and Prevention, Hang Zhou, China
| | - Shelan Liu
- Zhejiang Provincial Center for Disease Control and Prevention, Hang Zhou, China
| | - Feng Ling
- Zhejiang Provincial Center for Disease Control and Prevention, Hang Zhou, China
| | - Ye Lu
- Zhejiang Provincial Center for Disease Control and Prevention, Hang Zhou, China
| | - Jian Cai
- Zhejiang Provincial Center for Disease Control and Prevention, Hang Zhou, China
| | - Zhao Yu
- Zhejiang Provincial Center for Disease Control and Prevention, Hang Zhou, China
| | - Ziping Miao
- Zhejiang Provincial Center for Disease Control and Prevention, Hang Zhou, China
| | - Jiangping Ren
- Zhejiang Provincial Center for Disease Control and Prevention, Hang Zhou, China
| | - Enfu Chen
- Zhejiang Provincial Center for Disease Control and Prevention, Hang Zhou, China
- * E-mail:
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Li Q, Zhou L, Zhou M, Chen Z, Li F, Wu H, Xiang N, Chen E, Tang F, Wang D, Meng L, Hong Z, Tu W, Cao Y, Li L, Ding F, Liu B, Wang M, Xie R, Gao R, Li X, Bai T, Zou S, He J, Hu J, Xu Y, Chai C, Wang S, Gao Y, Jin L, Zhang Y, Luo H, Yu H, He J, Li Q, Wang X, Gao L, Pang X, Liu G, Yan Y, Yuan H, Shu Y, Yang W, Wang Y, Wu F, Uyeki TM, Feng Z. Epidemiology of human infections with avian influenza A(H7N9) virus in China. N Engl J Med 2014; 370:520-32. [PMID: 23614499 PMCID: PMC6652192 DOI: 10.1056/nejmoa1304617] [Citation(s) in RCA: 501] [Impact Index Per Article: 50.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
BACKGROUND The first identified cases of avian influenza A(H7N9) virus infection in humans occurred in China during February and March 2013. We analyzed data obtained from field investigations to describe the epidemiologic characteristics of H7N9 cases in China identified as of December 1, 2013. METHODS Field investigations were conducted for each confirmed case of H7N9 virus infection. A patient was considered to have a confirmed case if the presence of the H7N9 virus was verified by means of real-time reverse-transcriptase-polymerase-chain-reaction assay (RT-PCR), viral isolation, or serologic testing. Information on demographic characteristics, exposure history, and illness timelines was obtained from patients with confirmed cases. Close contacts were monitored for 7 days for symptoms of illness. Throat swabs were obtained from contacts in whom symptoms developed and were tested for the presence of the H7N9 virus by means of real-time RT-PCR. RESULTS Among 139 persons with confirmed H7N9 virus infection, the median age was 61 years (range, 2 to 91), 71% were male, and 73% were urban residents. Confirmed cases occurred in 12 areas of China. Nine persons were poultry workers, and of 131 persons with available data, 82% had a history of exposure to live animals, including chickens (82%). A total of 137 persons (99%) were hospitalized, 125 (90%) had pneumonia or respiratory failure, and 65 of 103 with available data (63%) were admitted to an intensive care unit. A total of 47 persons (34%) died in the hospital after a median duration of illness of 21 days, 88 were discharged from the hospital, and 2 remain hospitalized in critical condition; 2 patients were not admitted to a hospital. In four family clusters, human-to-human transmission of H7N9 virus could not be ruled out. Excluding secondary cases in clusters, 2675 close contacts of case patients completed the monitoring period; respiratory symptoms developed in 28 of them (1%); all tested negative for H7N9 virus. CONCLUSIONS Most persons with confirmed H7N9 virus infection had severe lower respiratory tract illness, were epidemiologically unrelated, and had a history of recent exposure to poultry. However, limited, nonsustained human-to-human H7N9 virus transmission could not be ruled out in four families.
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Affiliation(s)
- Qun Li
- The authors' affiliations are listed in the Appendix
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Chai C, Wong YD. Micro-simulation of vehicle conflicts involving right-turn vehicles at signalized intersections based on cellular automata. Accid Anal Prev 2014; 63:94-103. [PMID: 24275720 DOI: 10.1016/j.aap.2013.10.023] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/01/2013] [Revised: 08/18/2013] [Accepted: 10/22/2013] [Indexed: 06/02/2023]
Abstract
At intersection, vehicles coming from different directions conflict with each other. Improper geometric design and signal settings at signalized intersection will increase occurrence of conflicts between road users and results in a reduction of the safety level. This study established a cellular automata (CA) model to simulate vehicular interactions involving right-turn vehicles (as similar to left-turn vehicles in US). Through various simulation scenarios for four case cross-intersections, the relationships between conflict occurrences involving right-turn vehicles with traffic volume and right-turn movement control strategies are analyzed. Impacts of traffic volume, permissive right-turn compared to red-amber-green (RAG) arrow, shared straight-through and right-turn lane as well as signal setting are estimated from simulation results. The simulation model is found to be able to provide reasonable assessment of conflicts through comparison of existed simulation approach and observed accidents. Through the proposed approach, prediction models for occurrences and severity of vehicle conflicts can be developed for various geometric layouts and traffic control strategies.
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Affiliation(s)
- C Chai
- Centre for Infrastructure Systems, Nanyang Technological University, 40 Nanyang Avenue, 639798, Singapore.
| | - Y D Wong
- Centre for Infrastructure Systems, Nanyang Technological University, 40 Nanyang Avenue, 639798, Singapore.
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Liu S, Chai C, Wang C, Amer S, Lv H, He H, Sun J, Lin J. Systematic review of severe fever with thrombocytopenia syndrome: virology, epidemiology, and clinical characteristics. Rev Med Virol 2013; 24:90-102. [PMID: 24310908 PMCID: PMC4237196 DOI: 10.1002/rmv.1776] [Citation(s) in RCA: 129] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2013] [Revised: 10/19/2013] [Accepted: 11/04/2013] [Indexed: 01/12/2023]
Abstract
Severe fever with thrombocytopenia syndrome (SFTS) was firstly discovered in China in 2010, followed by several reports from many other countries worldwide. SFTS virus (SFTSV) has been identified as the causative agent of the disease and has been recognized as a public health threat. This novel Bunyavirus belongs to the Phlebovirus genus in the family Bunyaviridae. This review also describes the different aspects of virology, pathogenesis, epidemiology, and clinical symptoms on the basis of the published article surveillance data and phylogenetic analyses of viral sequences of large, medium, and small segments retrieved from database using mega 5.05, simplot 3.5.1, network 4.611, and epi information system 3.5.3 software. SFTS presents with fever, thrombocytopenia, leukocytopenia, and considerable changes in several serum biomarkers. The disease has 10 ∼ 15% mortality rate, commonly because of multiorgan dysfunction. SFTSV is mainly reported in the rural areas of Central and North-Eastern China, with seasonal occurrence from May to September, mainly targeting those of ≥50 years of age. A wide range of domesticated animals, including sheep, goats, cattle, pigs, dogs, and chickens have been proven seropositive for SFTSV. Ticks, especially Haemaphysalis longicornis, are suspected to be the potential vector, which have a broad animal host range in the world. More studies are needed to elucidate the vector–animal–human ecological cycle, the pathogenic mechanisms in high level animal models and vaccine development. © 2013 The Authors. Reviews in Medical Virology published by John Wiley & Sons, Ltd.
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Affiliation(s)
- Shelan Liu
- Department of Infectious Diseases, Zhejiang Provincial Centre for Disease Control and Prevention, Hangzhou, Zhejiang Province, China
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47
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Affiliation(s)
- Yadong Sun
- Tsinghua-Peking Center for Life Sciences, Beijing 100084, China; School of Life Sciences, Tsinghua University, Beijing 100084, China
| | - Zhifu Han
- Tsinghua-Peking Center for Life Sciences, Beijing 100084, China; School of Life Sciences, Tsinghua University, Beijing 100084, China
| | - Jiao Tang
- Tsinghua-Peking Center for Life Sciences, Beijing 100084, China; School of Life Sciences, Tsinghua University, Beijing 100084, China
| | - Zehan Hu
- Tsinghua-Peking Center for Life Sciences, Beijing 100084, China; School of Life Sciences, Tsinghua University, Beijing 100084, China
| | - Chengliang Chai
- Tsinghua-Peking Center for Life Sciences, Beijing 100084, China; School of Life Sciences, Tsinghua University, Beijing 100084, China
| | - Bin Zhou
- Tsinghua-Peking Center for Life Sciences, Beijing 100084, China; School of Life Sciences, Tsinghua University, Beijing 100084, China
| | - Jijie Chai
- Tsinghua-Peking Center for Life Sciences, Beijing 100084, China; School of Life Sciences, Tsinghua University, Beijing 100084, China
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Chen E, Wang F, Lv H, Zhang Y, Ding H, Liu S, Cai J, Xie L, Xu X, Chai C, Mao H, Sun J, Lin J, Yu Z, Li L, Chen Z, Xia S. The first avian influenza A (H7N9) viral infection in humans in Zhejiang Province, China: a death report. Front Med 2013; 7:333-44. [PMID: 23757033 PMCID: PMC7089029 DOI: 10.1007/s11684-013-0275-1] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2012] [Accepted: 05/20/2013] [Indexed: 11/12/2022]
Abstract
This study reports the first death caused by a novel avian influenza A (H7N9) virus in Zhejiang Province, China. The patient had chronic hepatitis B and history of exposure to poultry. The patient initially complained of diarrhea and influenza-like symptoms on March 7 and 14 respectively. The disease progressed to severe pneumonia, sustained hypoxia, and coagulation abnormalities. The patient died on March 27 because of respiratory failure, multiple organ failure, and disseminated intravascular coagulation without oseltamivir treatment. This H7N9 virus from Zhejiang is highly similar to isolates obtained from Shanghai, Jiangsu, Anhui, etc. Analysis of hemagglutinin, neuramidinase, and matrix genes indicated that the isolates share the same avian origin, have low virulence, and are sensitive to oseltamivir, but are resistant to adamantine. Only the isolate that caused the fatality exhibited substitution of Q226I in the HA gene, which indicates a potentially enhanced human affinity. The secondary transmission rate was 1.6% (2/125). Only two health workers presented with influenza-like symptoms, and they subsequently tested negative for H7N9 RNA. In conclusion, underlying disease, late diagnosis, and untimely antiviral treatment are possible high-risk factors for infections and death caused by the lowpathogenicity avian influenza A (H7N9). Person-to-person transmission of the H7N9 virus was not detected among close contacts, but such transmission should be investigated in the future. Expanding and enhancing surveillance will help in the early discovery and diagnosis of suspected cases, which will reduce the number of severe cases and deaths.
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Affiliation(s)
- Enfu Chen
- Department of Infectious Diseases, Zhejiang Center for Disease Control and Prevention, Hangzhou, 310051 China
| | - Fenjuan Wang
- Department of Infectious Diseases, Xiaoshan District Center for Disease Control and Prevention, Hangzhou, 311201 China
| | - Huakun Lv
- Department of Infectious Diseases, Zhejiang Center for Disease Control and Prevention, Hangzhou, 310051 China
| | - Yanjun Zhang
- Department of Infectious Diseases, Zhejiang Center for Disease Control and Prevention, Hangzhou, 310051 China
| | - Hua Ding
- Department of Infectious Diseases, Hangzhou Center for Disease Control and Prevention, Hangzhou, 310021 China
| | - Shelan Liu
- Department of Infectious Diseases, Zhejiang Center for Disease Control and Prevention, Hangzhou, 310051 China
| | - Jian Cai
- Department of Infectious Diseases, Zhejiang Center for Disease Control and Prevention, Hangzhou, 310051 China
| | - Li Xie
- Department of Infectious Diseases, Hangzhou Center for Disease Control and Prevention, Hangzhou, 310021 China
| | - Xiaoping Xu
- Department of Infectious Diseases, Jiande Center for Disease Control and Prevention, Hangzhou, 311600 China
| | - Chengliang Chai
- Department of Infectious Diseases, Zhejiang Center for Disease Control and Prevention, Hangzhou, 310051 China
| | - Haiyan Mao
- Department of Infectious Diseases, Zhejiang Center for Disease Control and Prevention, Hangzhou, 310051 China
| | - Jimin Sun
- Department of Infectious Diseases, Zhejiang Center for Disease Control and Prevention, Hangzhou, 310051 China
| | - Junfen Lin
- Department of Infectious Diseases, Zhejiang Center for Disease Control and Prevention, Hangzhou, 310051 China
| | - Zhao Yu
- Department of Infectious Diseases, Zhejiang Center for Disease Control and Prevention, Hangzhou, 310051 China
| | - Lianhong Li
- Department of Infectious Diseases, Zhejiang Center for Disease Control and Prevention, Hangzhou, 310051 China
| | - Zhiping Chen
- Department of Infectious Diseases, Zhejiang Center for Disease Control and Prevention, Hangzhou, 310051 China
| | - Shichang Xia
- Department of Infectious Diseases, Zhejiang Center for Disease Control and Prevention, Hangzhou, 310051 China
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Huang M, Lian S, Wu H, Chai C. Effects of zinc supplementation on the radiation-induced damage in mouse intestine. Acta Alimentaria 2013. [DOI: 10.1556/aalim.42.2013.1.1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
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50
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Zhang L, Wang X, Zhang Y, Zhang Y, Wang H, Wang C, Sun J, Lin J, Chai C, Yan J. Severe fever with thrombocytopenia syndrome bunyavirus (SFTSV) infections in Zhejiang Province, China. Int J Infect Dis 2013; 17:e137-8. [DOI: 10.1016/j.ijid.2012.07.007] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2012] [Accepted: 07/03/2012] [Indexed: 11/26/2022] Open
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