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Zhang L, Yang F, Zhu Z, Zeng W, Rong Z, Hu J, Li X, Zhao J, Zeng B, Li Y, Quan Y, Zhang Q, Huang Z, Li Y, Huang X, Zheng W, Xu J, Li Y, Chen Q, Xiao J, Zhang M. Assessing the impact of COVID-19 interventions on the hand, foot and mouth disease in Guangdong Province, China: a Bayesian modeling study. Front Public Health 2024; 11:1307321. [PMID: 38348379 PMCID: PMC10860754 DOI: 10.3389/fpubh.2023.1307321] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2023] [Accepted: 12/26/2023] [Indexed: 02/15/2024] Open
Abstract
Background The non-pharmaceutical interventions (NPIs) against COVID-19 may have affected the transmission of hand, foot and mouth disease (HFMD). We aimed to assess the impact of the NPIs on HFMD in the high epidemic area of HFMD, Guangdong Province. Methods The data of HFMD cases, etiological information, and meteorological factors in Guangdong from January 1, 2012, to December 31, 2021, were collected. Using a Bayesian structural time series (BSTS) model integrated counterfactual framework, we assessed the effect of NPIs on HFMD by different intervention periods, populations (gender, age, occupation), and cities. We further explored the correlation between the reduction of HFMD and socioeconomic factors in 21 cities. Results A total of 351,217 HFMD cases were reported and 455,327 cases were averted in Guangdong Province during 2020-2021 with a reduction of 84.94% (95%CI: 81.63-87.22%) in 2020 and 29.49% (95%CI: 15.26-39.54%) in 2021. The impact of NPIs on HFMD differed by age and gender. The effects of NPIs were more remarkable for children aged 0-2 years and scattered children. We found that the relative reductions in 21 cities were related to the composition ratio of children and COVID-19 incidence. Conclusion The reduction of HFMD incidence was significantly associated with COVID-19 NPIs, and school closure was an effective intervention to prevent HFMD outbreaks. Our findings will contribute to the development of HFMD prevention and control measures.
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Affiliation(s)
- Li Zhang
- School of Public Health, Southern Medical University, Guangzhou, China
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
| | - Fen Yang
- Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
- Guangdong Workstation for Emerging Infectious Disease Control and Prevention, Guangzhou, China
| | - Zhihua Zhu
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
| | - Weilin Zeng
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
| | - Zuhua Rong
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
| | - Jianxiong Hu
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
| | - Xing Li
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
| | - Jianguo Zhao
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
| | - Biao Zeng
- Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
- Guangdong Workstation for Emerging Infectious Disease Control and Prevention, Guangzhou, China
| | - Yihan Li
- School of Public Health, Southern Medical University, Guangzhou, China
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
| | - Yi Quan
- School of Public Health, Southern Medical University, Guangzhou, China
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
| | - Qian Zhang
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
- School of Public Health, Guangdong Pharmaceutical University, Guangzhou, China
| | - Zitong Huang
- Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
- School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Yuye Li
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
| | - Xing Huang
- School of Public Health, Southern Medical University, Guangzhou, China
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
| | - Wenyuan Zheng
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
- School of Medicine, Jinan University, Guangzhou, China
| | - Jiaqing Xu
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
- School of Public Health, Guangdong Pharmaceutical University, Guangzhou, China
| | - Yan Li
- Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
- Guangdong Workstation for Emerging Infectious Disease Control and Prevention, Guangzhou, China
| | - Qing Chen
- School of Public Health, Southern Medical University, Guangzhou, China
| | - Jianpeng Xiao
- School of Public Health, Southern Medical University, Guangzhou, China
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
| | - Meng Zhang
- Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
- Guangdong Workstation for Emerging Infectious Disease Control and Prevention, Guangzhou, China
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Zhou K, Ding Z, Hu B, Zhan J, Cai K. Circulating trends of hand, foot, and mouth disease in Hubei Province, China: Impact from the COVID-19 pandemic. Heliyon 2023; 9:e22872. [PMID: 38058442 PMCID: PMC10696181 DOI: 10.1016/j.heliyon.2023.e22872] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2023] [Revised: 11/20/2023] [Accepted: 11/21/2023] [Indexed: 12/08/2023] Open
Abstract
Objectives This study was performed to investigate the effect of non-pharmaceutical interventions on hand, foot, and mouth disease in Hubei Province China during the coronavirus disease 2019 pandemic. Methods Data and samples were collected from the hand, foot, and mouth disease surveillance laboratory network in Hubei Province between 2018 and 2022. The samples were identified as Enterovirus A71, Coxsackievirus A6or Coxsackievirus A16 via real-time polymerase chain reaction. Representative Coxsackievirus A6 and Coxsackievirus A16 samples were sequenced and subjected to phylogenetic analyses. Results A noticeable 3-fold reduction in the number of hand, foot, and mouth disease cases was observed from 2019 to 2020. The age and sex distributions of patients with hand, foot, and mouth disease were approximately the same from 2018 to 2022. The proportion of Coxsackievirus A6 accounted for 86 % in 2020 and 75 % in 2021 for hand, foot, and mouth disease compared with 48 % in 2018, 53 % in 2019, and 29 % in 2022. The proportions of Coxsackievirus A16 in 2020 and 2021 were 2 % and 17 %, respectively, showing a sharp decline in 2018 (37.8 %) and 2019 (35 %). In 2022, Coxsackievirus A16 was the dominant serotype (46 %). Only slight differences were found in the VP1 sequences across the different years. Conclusions Our study confirmed that a series of non-pharmaceutical interventions during the coronavirus disease 2019 period reduced the transmission of enteroviruses and that long-term restrictions could significantly change the prevalence of enterovirus serotypes causing hand, foot, and mouth disease.
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Affiliation(s)
- Kangping Zhou
- Hubei Provincial Center for Disease Control and Prevention, 35 North Zhuodaoquan, Hongshan District, Wuhan, 430079, China
| | - Zhihong Ding
- Xiangyang Hospital of Traditional Chinese Medicine, Xiangyang, Hubei, 441000, China
| | - Bin Hu
- Hubei Provincial Center for Disease Control and Prevention, 35 North Zhuodaoquan, Hongshan District, Wuhan, 430079, China
| | - Jianbo Zhan
- Hubei Provincial Center for Disease Control and Prevention, 35 North Zhuodaoquan, Hongshan District, Wuhan, 430079, China
| | - Kun Cai
- Hubei Provincial Center for Disease Control and Prevention, 35 North Zhuodaoquan, Hongshan District, Wuhan, 430079, China
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Shimizu JF, Feferbaum-Leite S, Santos IA, Martins DOS, Kingston NJ, Shegdar M, Zothner C, Sampaio SV, Harris M, Stonehouse NJ, Jardim ACG. Effect of proteins isolated from Brazilian snakes on enterovirus A71 replication cycle: An approach against hand, foot and mouth disease. Int J Biol Macromol 2023; 241:124519. [PMID: 37085072 PMCID: PMC7615699 DOI: 10.1016/j.ijbiomac.2023.124519] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2023] [Revised: 04/14/2023] [Accepted: 04/15/2023] [Indexed: 04/23/2023]
Abstract
Enterovirus A71 (EVA71) belongs to the Picornaviridae family and is the main etiological agent of hand, foot, and mouth disease (HFMD). There is no approved antiviral against EVA71, and therefore the search for novel anti-EVA71 therapeutics is essential. In this context, the antiviral activity of proteins isolated from snake venoms has been reported against a range of viruses. Here, the proteins CM10 and CM14 isolated from Bothrops moojeni, and Crotamin and PLA2CB isolated from Crotalus durissus terrificus were investigated for their antiviral activity against EVA71 infection. CM14 and Crotamin possessed a selective index (SI) of 170.8 and 120.4, respectively, while CM10 and PLA2CB had an SI of 67.4 and 12.5, respectively. CM14 inhibited all steps of viral replication (protective effect: 76 %; virucidal: 99 %; and post-entry: 99 %). Similarly, Crotamin inhibited up to 99 % of three steps. In contrast, CM10 and PLA2CB impaired one or two steps of EVA71 replication, respectively. Further dose-response assays using increasing titres of EVA71 were performed and CM14 and Crotamin retained functionality with high concentrations of EVA71 (up to 1000 TCID50). These data demonstrate that proteins isolated from snake venom are potent inhibitors of EVA71 and could be used as scaffolds for future development of novel antivirals.
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Affiliation(s)
- Jacqueline Farinha Shimizu
- Laboratory of Antiviral Research, Institute of Biomedical Science - ICBIM, Federal University of Uberlândia - UFU, Uberlândia, MG, Brazil; Institute of Biosciences, Language and Exact Science - IBILCE, São Paulo State University - UNESP, São José do Rio Preto, SP, Brazil; Brazilian Biosciences National Laboratory (LNBio), Brazilian Centre for Research in Energy and Materials (CNPEM), Campinas, SP 13083-100, Brazil
| | - Shiraz Feferbaum-Leite
- Laboratory of Antiviral Research, Institute of Biomedical Science - ICBIM, Federal University of Uberlândia - UFU, Uberlândia, MG, Brazil
| | - Igor Andrade Santos
- Laboratory of Antiviral Research, Institute of Biomedical Science - ICBIM, Federal University of Uberlândia - UFU, Uberlândia, MG, Brazil
| | - Daniel Oliveira Silva Martins
- Laboratory of Antiviral Research, Institute of Biomedical Science - ICBIM, Federal University of Uberlândia - UFU, Uberlândia, MG, Brazil; Institute of Biosciences, Language and Exact Science - IBILCE, São Paulo State University - UNESP, São José do Rio Preto, SP, Brazil
| | - Natalie J Kingston
- School of Molecular and Cellular Biology, Faculty of Biological Sciences and Astbury Centre for Structural Molecular Biology, University of Leeds, Leeds LS2 9JT, United Kingdom
| | - Mona Shegdar
- School of Molecular and Cellular Biology, Faculty of Biological Sciences and Astbury Centre for Structural Molecular Biology, University of Leeds, Leeds LS2 9JT, United Kingdom
| | - Carsten Zothner
- School of Molecular and Cellular Biology, Faculty of Biological Sciences and Astbury Centre for Structural Molecular Biology, University of Leeds, Leeds LS2 9JT, United Kingdom
| | - Suely Vilela Sampaio
- Department of Clinical Analyses, Toxicology and Food Sciences, School of Pharmaceutical Sciences of Ribeirão Preto, University of São Paulo - USP, SP, Brazil
| | - Mark Harris
- School of Molecular and Cellular Biology, Faculty of Biological Sciences and Astbury Centre for Structural Molecular Biology, University of Leeds, Leeds LS2 9JT, United Kingdom
| | - Nicola J Stonehouse
- School of Molecular and Cellular Biology, Faculty of Biological Sciences and Astbury Centre for Structural Molecular Biology, University of Leeds, Leeds LS2 9JT, United Kingdom
| | - Ana Carolina Gomes Jardim
- Laboratory of Antiviral Research, Institute of Biomedical Science - ICBIM, Federal University of Uberlândia - UFU, Uberlândia, MG, Brazil; Institute of Biosciences, Language and Exact Science - IBILCE, São Paulo State University - UNESP, São José do Rio Preto, SP, Brazil.
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Yang C, An S, Qiao B, Guan P, Huang D, Wu W. Exploring the influence of COVID-19 on the spread of hand, foot, and mouth disease with an automatic machine learning prediction model. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:20369-20385. [PMID: 36255582 PMCID: PMC9579594 DOI: 10.1007/s11356-022-23643-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/05/2022] [Accepted: 10/11/2022] [Indexed: 06/16/2023]
Abstract
Hand, foot, and mouth disease (HFMD) is an important public health problem and has received concern worldwide. Moreover, the coronavirus disease 2019 (COVID-19) epidemic also increases the difficulty of understanding and predicting the prevalence of HFMD. The purpose is to prove the usability and applicability of the automatic machine learning (Auto-ML) algorithm in predicting the epidemic trend of HFMD and to explore the influence of COVID-19 on the spread of HFMD. The AutoML algorithm and the autoregressive integrated moving average (ARIMA) model were applied to construct and validate models, based on the monthly incidence numbers of HFMD and meteorological factors from May 2008 to December 2019 in Henan province, China. A total of four models were established, among which the Auto-ML model with meteorological factors had minimum RMSE and MAE in both the model constructing phase and forecasting phase (training set: RMSE = 1424.40 and MAE = 812.55; test set: RMSE = 2107.83, MAE = 1494.41), so this model has the best performance. The optimal model was used to further predict the incidence numbers of HFMD in 2020 and then compared with the reported cases. And, for analysis, 2020 was divided into two periods. The predicted incidence numbers followed the same trend as the reported cases of HFMD before the COVID-19 outbreak; while after the COVID-19 outbreak, the reported cases have been greatly reduced than expected, with an average of only about 103 cases per month, and the incidence peak has also been delayed, which has led to significant changes in the seasonality of HFMD. Overall, the AutoML algorithm is an applicable and ideal method to predict the epidemic trend of the HFMD. Furthermore, it was found that the countermeasures of COVID-19 have a certain influence on suppressing the spread of HFMD during the period of COVID-19. The findings are helpful to health administrative departments.
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Affiliation(s)
- Chuan Yang
- Department of Mathematics, School of Intelligent Medicine, China Medical University, Shenyang, Liaoning China
| | - Shuyi An
- Liaoning Provincial Center for Disease Control and Prevention, Shenyang, Liaoning China
| | - Baojun Qiao
- Liaoning Provincial Center for Disease Control and Prevention, Shenyang, Liaoning China
| | - Peng Guan
- Department of Mathematics, School of Intelligent Medicine, China Medical University, Shenyang, Liaoning China
| | - Desheng Huang
- Department of Intelligent Computing, School of Intelligent Medicine, China Medical University, Shenyang, Liaoning China
| | - Wei Wu
- Department of Mathematics, School of Intelligent Medicine, China Medical University, Shenyang, Liaoning China
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Wu K, Ma X, Liu H, Zheng J, Zhou R, Yuan Z, Huang Z, Zhong Q, Huang Y, Zhang Z, Wu X. Effects of different levels of non-pharmaceutical interventions on hand, foot and mouth disease in Guangzhou, China. BMC Public Health 2022; 22:2398. [PMID: 36539790 PMCID: PMC9767397 DOI: 10.1186/s12889-022-14850-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2022] [Accepted: 12/09/2022] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND Non-pharmaceutical interventions (NPIs) against coronavirus disease 2019 (COVID-19) may have suppressed the transmission of other infectious diseases. This study aimed to evaluate the impact of different degrees of NPIs during the COVID-19 pandemic on hand, foot and mouth disease (HFMD) in Guangzhou, China. METHODS Weekly reported HFMD cases and pathogens information during 2015-2021 in Guangzhou were collected from the China National Notifiable Disease Reporting System. The observed number of HFMD cases in 2020 and 2021 was compared to the average level in the same period during 2015-2019. Then, an interrupted time-series segmented regression analysis was applied to estimate the impact of NPIs on HFMD, such as social distancing, suspension of schools, community management and mask wearing. The effects across different subgroups stratified by gender, children groups and enterovirus subtype of HFMD were also examined. RESULTS A total of 13,224 and 36,353 HFMD cases were reported in 2020 and 2021, which decreased by 80.80% and 15.06% respectively compared with the average number of cases in the same period during 2015-2019. A significant drop in the number of HFMD cases during time when strict NPIs were applied (relative change: 69.07% [95% confidence interval (CI): 68.84%-69.30%]). The HFMD incidence rebounded to historical levels in 2021 as the lockdown eased. The slightest reduction of HFMD cases was found among children at kindergartens or childcare centres among the three children groups (children at kindergartens or childcare centres: 55.50% [95% CI: 54.96%-56.03%]; children living at home: 72.64% [95% CI: 72.38%-72.89%]; others: 74.06% [95% CI: 73.19%-74.91%]). CONCLUSIONS The strong NPIs during the COVID-19 epidemic may have a significant beneficial effect on mitigating HFMD. However, the incidence of HFMD rebounded as the NPIs became less stringent. Authorities should consider applying these NPIs during HFMD outbreaks and strengthening personal hygiene in routine prevention.
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Affiliation(s)
- Keyi Wu
- grid.284723.80000 0000 8877 7471Department of Epidemiology, School of Public Health, Guangdong Provincial Key Laboratory of Tropical Disease Research), Southern Medical University, Baiyun District, Nos.1023–1063, Shatai South Road, Guangzhou, 510515 China
| | - Xiaowei Ma
- grid.508371.80000 0004 1774 3337Guangzhou Center for Disease Control and Prevention, Guangzhou City, 510440 Guangdong China
| | - Huamin Liu
- grid.284723.80000 0000 8877 7471Department of Epidemiology, School of Public Health, Guangdong Provincial Key Laboratory of Tropical Disease Research), Southern Medical University, Baiyun District, Nos.1023–1063, Shatai South Road, Guangzhou, 510515 China
| | - Jiazhen Zheng
- grid.284723.80000 0000 8877 7471Department of Epidemiology, School of Public Health, Guangdong Provincial Key Laboratory of Tropical Disease Research), Southern Medical University, Baiyun District, Nos.1023–1063, Shatai South Road, Guangzhou, 510515 China
| | - Rui Zhou
- grid.284723.80000 0000 8877 7471Department of Epidemiology, School of Public Health, Guangdong Provincial Key Laboratory of Tropical Disease Research), Southern Medical University, Baiyun District, Nos.1023–1063, Shatai South Road, Guangzhou, 510515 China
| | - Zelin Yuan
- grid.284723.80000 0000 8877 7471Department of Epidemiology, School of Public Health, Guangdong Provincial Key Laboratory of Tropical Disease Research), Southern Medical University, Baiyun District, Nos.1023–1063, Shatai South Road, Guangzhou, 510515 China
| | - Zhiwei Huang
- grid.284723.80000 0000 8877 7471Department of Epidemiology, School of Public Health, Guangdong Provincial Key Laboratory of Tropical Disease Research), Southern Medical University, Baiyun District, Nos.1023–1063, Shatai South Road, Guangzhou, 510515 China
| | - Qi Zhong
- grid.284723.80000 0000 8877 7471Department of Epidemiology, School of Public Health, Guangdong Provincial Key Laboratory of Tropical Disease Research), Southern Medical University, Baiyun District, Nos.1023–1063, Shatai South Road, Guangzhou, 510515 China
| | - Yining Huang
- grid.284723.80000 0000 8877 7471Department of Epidemiology, School of Public Health, Guangdong Provincial Key Laboratory of Tropical Disease Research), Southern Medical University, Baiyun District, Nos.1023–1063, Shatai South Road, Guangzhou, 510515 China
| | - Zhoubin Zhang
- grid.508371.80000 0004 1774 3337Guangzhou Center for Disease Control and Prevention, Guangzhou City, 510440 Guangdong China
| | - Xianbo Wu
- grid.284723.80000 0000 8877 7471Department of Epidemiology, School of Public Health, Guangdong Provincial Key Laboratory of Tropical Disease Research), Southern Medical University, Baiyun District, Nos.1023–1063, Shatai South Road, Guangzhou, 510515 China
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Peng H, Chen Z, Cai L, Liao J, Zheng K, Li S, Ren X, Duan X, Tang X, Wang X, Long L, Yang C. Relationship between meteorological factors, air pollutants and hand, foot and mouth disease from 2014 to 2020. BMC Public Health 2022; 22:998. [PMID: 35581574 PMCID: PMC9112249 DOI: 10.1186/s12889-022-13365-9] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2021] [Accepted: 05/04/2022] [Indexed: 11/10/2022] Open
Abstract
Background Meteorological factors and air pollutants have been reported to be associated with hand, foot, and mouth disease (HFMD) epidemics before the introduction of vaccine. However, there is limited evidence for studies with long-term dimensions. Methods We collected the daily HFMD counts, weather and air pollution data from 2014 to 2020 in Chengdu. Distributed lag non-linear models (DLNM) were used to assess the associations of meteorological factors and air pollutants on HFMD cases. Results From 2014–2020, high relative humidity and precipitation and extremely high and low levels of PM10, O3, SO2 and CO increased the risk of HFMD. In pre-vaccination period, extreme high and low temperatures, PM10 and NO2, low precipitation and high concentrations of PM2.5 and O3 significantly increase the risk of HFMD; In post-vaccination period, high relative humidity and low level of CO can significantly increase the incidence of HFMD; During the period of COVID-19, only low temperature will significantly increase the risk of HFMD; Low concentration of air pollutants has the greatest impact on the 6–14 age group, while the high concentration of air pollutants has the greatest impact on the 0–1 age group. Conclusions Our study suggest that high relative humidity and precipitation and extremely high and low levels of PM10, O3, SO2 and CO increased the risk of HFMD from 2014 to 2020. The results of this study provide a reference for local authorities to formulate intervention measures and establish an environment-based disease early warning system. Supplementary Information The online version contains supplementary material available at 10.1186/s12889-022-13365-9.
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Affiliation(s)
- Hongxia Peng
- Department of Epidemiology and Health Statistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, No.16, Section 3, Renmin south road, Wuhou District, Chengdu, Sichuan, China
| | - Zhenhua Chen
- Department of Microbiology Laboratory, Chengdu Municipal Center for Disease Control and Prevention, Chengdu, Sichuan, China
| | - Lin Cai
- Department of Gastroenterology, West China School of Public Health and West China Forth Hospital, Sichuan University, Chengdu, Sichuan, China.,Non-Communicable Diseases Research Center, West China-PUMC C.C. Chen Institute of Health, Sichuan University, Chengdu, Sichuan, China
| | - Juan Liao
- Department of Gastroenterology, West China School of Public Health and West China Forth Hospital, Sichuan University, Chengdu, Sichuan, China.,Non-Communicable Diseases Research Center, West China-PUMC C.C. Chen Institute of Health, Sichuan University, Chengdu, Sichuan, China
| | - Ke Zheng
- Department of Immunization Planning, Chengdu Municipal Center for Disease Control and Prevention, Chengdu, Sichuan, China
| | - Shuo Li
- Department of Epidemiology and Health Statistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, No.16, Section 3, Renmin south road, Wuhou District, Chengdu, Sichuan, China
| | - Xueling Ren
- Department of Epidemiology and Health Statistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, No.16, Section 3, Renmin south road, Wuhou District, Chengdu, Sichuan, China
| | - Xiaoxia Duan
- Department of Epidemiology and Health Statistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, No.16, Section 3, Renmin south road, Wuhou District, Chengdu, Sichuan, China
| | - Xueqin Tang
- Department of Epidemiology and Health Statistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, No.16, Section 3, Renmin south road, Wuhou District, Chengdu, Sichuan, China
| | - Xiao Wang
- Department of Epidemiology and Health Statistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, No.16, Section 3, Renmin south road, Wuhou District, Chengdu, Sichuan, China
| | - Lu Long
- Department of Epidemiology and Health Statistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, No.16, Section 3, Renmin south road, Wuhou District, Chengdu, Sichuan, China.
| | - Chunxia Yang
- Department of Epidemiology and Health Statistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, No.16, Section 3, Renmin south road, Wuhou District, Chengdu, Sichuan, China.
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Shen L, Sun M, Song S, Hu Q, Wang N, Ou G, Guo Z, Jing D, Shao Z, Bai Y, Liu K. The impact of anti‐COVID‐19 non‐pharmaceutical interventions on hand, foot, and mouth disease—a spatiotemporal perspective in Xi'an, northwestern China. J Med Virol 2022; 94:3121-3132. [PMID: 35277880 PMCID: PMC9088661 DOI: 10.1002/jmv.27715] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2022] [Revised: 02/19/2022] [Accepted: 03/01/2022] [Indexed: 11/23/2022]
Abstract
Growing evidence has shown that anti‐COVID‐19 nonpharmaceutical interventions (NPIs) can support prevention and control of various infectious diseases, including intestinal diseases. However, most studies focused on the short‐term mitigating impact and neglected the dynamic impact over time. This study is aimed to investigate the dynamic impact of anti‐COVID‐19 NPIs on hand, foot, and mouth disease (HFMD) over time in Xi'an City, northwestern China. Based on the surveillance data of HFMD, meteorological and web search data, Bayesian Structural Time Series model and interrupted time series analysis were performed to quantitatively measure the impact of NPIs in sequent phases with different intensities and to predict the counterfactual number of HFMD cases. From 2013 to 2021, a total number of 172,898 HFMD cases were reported in Xi'an. In 2020, there appeared a significant decrease in HFMD incidence (−94.52%, 95% CI: −97.54% to −81.95%) in the first half of the year and the peak period shifted from June to October by a small margin of 6.74% compared to the previous years of 2013 to 2019. In 2021, the seasonality of HFMD incidence gradually returned to the bimodal temporal variation pattern with a significant average decline of 61.09%. In particular, the impact of NPIs on HFMD was more evident among young children (0–3 years), and the HFMD incidence reported in industrial areas had an unexpected increase of 51.71% in 2020 autumn and winter. Results suggested that both direct and indirect NPIs should be implemented as effective public health measures to reduce infectious disease and improve surveillance strategies, and HFMD incidence in Xi'an experienced a significant rebound to the previous seasonality after a prominent decline influenced by the anti‐COVID‐19 NPIs. HFMD transmission changed during the COVID‐19 pandemic; The impact of anti‐COVID‐19 NPIs on HFMD varied between different populations; The responsive NPIs indeed affected the HFMD incidence at different stages with potential long‐term impact.
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Affiliation(s)
- Li Shen
- School of Remote Sensing and Information EngineeringWuhan UniversityWuhanChina
| | - Minghao Sun
- School of Remote Sensing and Information EngineeringWuhan UniversityWuhanChina
| | - Shuxuan Song
- Department of EpidemiologyMinistry of Education Key Lab of Hazard Assessment and Control in Special Operational Environment, School of Public Health, Air Force Medical UniversityXi'anChina
| | - Qingwu Hu
- School of Remote Sensing and Information EngineeringWuhan UniversityWuhanChina
| | - Nuoya Wang
- School of Remote Sensing and Information EngineeringWuhan UniversityWuhanChina
| | - Guangyu Ou
- School of Remote Sensing and Information EngineeringWuhan UniversityWuhanChina
| | - Zhaohui Guo
- School of Remote Sensing and Information EngineeringWuhan UniversityWuhanChina
| | - Du Jing
- School of Resource and Environmental ScienceWuhan UniversityWuhanChina
| | - Zhongjun Shao
- Department of EpidemiologyMinistry of Education Key Lab of Hazard Assessment and Control in Special Operational Environment, School of Public Health, Air Force Medical UniversityXi'anChina
| | - Yao Bai
- Department of Infectious Disease Control and PreventionXi'an Center for Disease Prevention and ControlXi'anChina
| | - Kun Liu
- Department of EpidemiologyMinistry of Education Key Lab of Hazard Assessment and Control in Special Operational Environment, School of Public Health, Air Force Medical UniversityXi'anChina
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Chen B, Wang M, Huang X, Xie M, Pan L, Liu H, Liu Z, Zhou P. Changes in Incidence of Notifiable Infectious Diseases in China Under the Prevention and Control Measures of COVID-19. Front Public Health 2021; 9:728768. [PMID: 34722440 PMCID: PMC8553983 DOI: 10.3389/fpubh.2021.728768] [Citation(s) in RCA: 55] [Impact Index Per Article: 13.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2021] [Accepted: 09/21/2021] [Indexed: 12/24/2022] Open
Abstract
Aim: The aim of this study was to analyze the changes in incidence of notifiable infectious diseases in China under the prevention and control measures of COVID-19. Methods: Using descriptive epidemiological methods, data were collected from the official website of the Health Commission of the People's Republic of China, and the prevalence characteristics of notifiable infectious diseases in the country in 2020 were analyzed and compared with the historical data in 2019. Monthly reporting data on influenza and tuberculosis from 2015 to 2019 were also collected. Results: Except for COVID-19, the total number of notifiable infectious diseases cases in 2020 was 6,366,176, a decrease of 41.38% year-on-year compared with 2019. Category B and C notifiable infectious diseases decreased by 14.84 and 54.98% year-on-year, respectively (P < 0.01). The top three incidence rates were influenza (87.63 cases/100,000), hepatitis B (81.36 cases/100,000) and other infectious diarrhea (76.33 cases/100,000). Three types of diseases with the largest decline were influenza (-2,280,502 cases), hand-foot-mouth disease (-1,174,588 cases), and other infectious diarrhea diseases (-275,746 cases). Compared with 2019, respiratory infectious diseases were reported to be in the largest decline in 2020, followed by intestinal infectious diseases, blood-borne and sexually transmitted diseases, natural foci, and insect-borne infectious diseases. The monthly reported incidences of influenza and tuberculosis in 2020 were lower than the average of the previous 5 years. Conclusion: In 2020, the incidence of most notifiable infectious diseases in China showed a downward trend, non-pharmaceutical interventions (NPIs)such as the wearing of masks, frequent hand-washing, more ventilation, less gathering, etc, played an positive role in the prevention and control of respiratory and intestinal infectious diseases. The various public health intervention strategies and measures adopted by China to contain COVID-19 can provide a reference for the prevention and control of infectious diseases in other countries.
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Affiliation(s)
- Bizhen Chen
- Department of Healthcare-Associated Infection Management, The Second Affiliated Hospital of Fujian University of Traditional Chinese Medicine, Fuzhou, China.,Department of Infectious Diseases/Infection Control Center, The Third Xiangya Hospital of Central South University, Changsha, China
| | - Meiling Wang
- Department of Healthcare-Associated Infection Management, The Second Affiliated Hospital of Fujian University of Traditional Chinese Medicine, Fuzhou, China.,School of Nursing, Fujian University of Traditional Chinese Medicine, Fuzhou, China
| | - Xun Huang
- Infection Control Center, Xiangya Hospital of Central South University, Changsha, China
| | - Maokun Xie
- Department of Healthcare-Associated Infection Management, The Second Affiliated Hospital of Fujian University of Traditional Chinese Medicine, Fuzhou, China
| | - Liting Pan
- School of Nursing, Fujian University of Traditional Chinese Medicine, Fuzhou, China
| | - Huiwen Liu
- School of Nursing, Fujian University of Traditional Chinese Medicine, Fuzhou, China
| | - Zhenguo Liu
- Department of Infectious Diseases/Infection Control Center, The Third Xiangya Hospital of Central South University, Changsha, China
| | - Pengcheng Zhou
- Department of Infectious Diseases/Infection Control Center, The Third Xiangya Hospital of Central South University, Changsha, China.,Infection Control Center, Xiangya Hospital of Central South University, Changsha, China
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