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Lv S, Zhou Y, Ji J, Yan Y, Zhu G. Epidemiological and genetic characteristics of enteroviruses associated with hand, foot, and mouth disease in Jiaxing, China from 2019 to 2022. Sci Rep 2025; 15:14546. [PMID: 40281098 PMCID: PMC12032032 DOI: 10.1038/s41598-025-99251-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2024] [Accepted: 04/18/2025] [Indexed: 04/29/2025] Open
Abstract
Hand, foot, and mouth disease (HFMD) is mainly caused by enteroviruses (EVs) and represents an important public health problem in China. The aim of this study was to investigate the epidemiological and genetic characteristics of EVs associated with HFMD in Jiaxing City in 2019-2022. In total, 1807 clinical specimens collected from patients with HFMD were evaluated by real-time reverse transcription polymerase chain reaction, and 1553 EV-positive specimens were detected, including 1018 coxsackievirus A6 (CVA6), 301 coxsackievirus A16 (CVA16), 94 coxsackievirus A10 (CVA10), 7 enterovirus A71 (EV-A71), and 133 other EVs. A phylogenetic analysis revealed that the subgenogroups CVA6 D3a, CVA10 F, and CVA16 B1a B1b were predominant in Jiaxing. Compared with VP1 of the prototype strains of CVA6, CVA10, and CVA16, 34, 36, and 31 amino acid substitutions were detected, respectively. Children aged 1-5 years accounted for the majority of cases, and the infection rate was higher in males than in females. EV infection cases were clearly affected by the COVID-19 epidemic, with decreases in 2020 corresponding to the implementation of protective measures. These findings add to the global genetic resources for EVs and demonstrate the epidemiological characteristics and genetic features of HFMD in Jiaxing.
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Affiliation(s)
- Shencong Lv
- Jiaxing Center for Disease Control and Prevention, Jiaxing, 314050, Zhejiang, China
| | - Yamei Zhou
- Jiaxing Center for Disease Control and Prevention, Jiaxing, 314050, Zhejiang, China
| | - Jimei Ji
- Jiaxing Center for Disease Control and Prevention, Jiaxing, 314050, Zhejiang, China
| | - Yong Yan
- Jiaxing Center for Disease Control and Prevention, Jiaxing, 314050, Zhejiang, China
| | - Guoying Zhu
- Jiaxing Center for Disease Control and Prevention, Jiaxing, 314050, Zhejiang, China.
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Zhang C, Kou Z, Wang X, He F, Sun D, Li Y, Feng Y, Zheng Y, Zhang R, Liu Y. Exploring the spatiotemporal effects of meteorological factors on hand, foot and mouth disease: a multiscale geographically and temporally weighted regression study. BMC Public Health 2024; 24:3129. [PMID: 39533262 PMCID: PMC11555952 DOI: 10.1186/s12889-024-20596-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2023] [Accepted: 11/01/2024] [Indexed: 11/16/2024] Open
Abstract
The influence of meteorological factors on hand, foot, and mouth disease (HFMD) is not on the same scale, it's rare for previous studies to measure and recognize the independent regression relationship between each variable in space and time scale. This study used a multiscale geographically and temporally weighted regression (MGTWR) model to explore the relationship between the incidence of HFMD and related meteorological factors in Shandong Province, China, during 2015-2019 and attempted to quantify the influence of meteorological factors on HFMD under different spatiotemporal effects. Meanwhile, we used the Global Moran's I statistic and Local Moran's I statistic to test the spatial autocorrelation of the incidence of HFMD. HFMD had spatial autocorrelation at the county level in Shandong Province. The MGTWR model outperformed the OLS and GTWR models in determining the relationship between meteorological factors and HFMD. The study highlights significant spatiotemporal non-stationarity in the relationship between meteorological factors and HFMD. Temperature was predominantly positively correlated with HFMD, especially in the peninsula region during spring and summer. Humidity exhibited a predominantly positive correlation, especially in the Shandong Peninsula. Precipitation also showed a positive correlation with HFMD, particularly in western regions and during the winter months. Wind speed had a predominantly negative correlation with HFMD in the central and southwestern regions. The results might help public health authorities set priorities for targeted prevention and control measures in different regions and weather conditions, and provide guidance for the government to rationally allocate public health resources.
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Affiliation(s)
- Chao Zhang
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, 250012, China
- Institute for Medical Dataology, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, 250000, China
| | - Zengqiang Kou
- Shandong Center for Disease Control and Prevention, Jinan, China
| | - Xianjun Wang
- Shandong Center for Disease Control and Prevention, Jinan, China
| | - Fenfen He
- Department of Epidemiology and Statistics, Bengbu Medical College, Bengbu, China
| | - Dapeng Sun
- Shandong Center for Disease Control and Prevention, Jinan, China
| | - Yan Li
- Shandong Center for Disease Control and Prevention, Jinan, China
| | - Yiping Feng
- Shandong Center for Disease Control and Prevention, Jinan, China
| | - Yongxiao Zheng
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, 250012, China
- Institute for Medical Dataology, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, 250000, China
| | - Rongguo Zhang
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, 250012, China
- Institute for Medical Dataology, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, 250000, China
| | - Yunxia Liu
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, 250012, China.
- Institute for Medical Dataology, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, 250000, China.
- Climate Change and Health Center, Shandong University, Jinan, Shandong Province, P.R. China.
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Zhao J, Zhang Y, Zhang H, Wang S, He H, Shi G, Maimaitijiang W, Hou Y, Zhang L, Yin J, Wang Y, Cao J. Epidemiological Characteristics and Spatiotemporal Patterns of Visceral Leishmaniasis in Xinjiang, China, during 2004-2021. Trop Med Infect Dis 2024; 9:153. [PMID: 39058195 PMCID: PMC11281530 DOI: 10.3390/tropicalmed9070153] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2024] [Revised: 06/26/2024] [Accepted: 07/04/2024] [Indexed: 07/28/2024] Open
Abstract
The spread of visceral leishmaniasis (VL), a serious global zoonotic parasitic disease, is mostly under control; however, several cases have been reported in recent decades in Xinjiang, China. This study aimed to analyze the epidemiological status and spatiotemporal clustering characteristics of VL in Xinjiang, China, between 2004 and 2021 to provide a basis for the development and implementation of surveillance and response measures. Data on VL incidence during 2004-2021 were collected from the National Diseases Reporting Information System of China. Global spatial autocorrelation analysis, identification of local indicators of spatial association, and spatial-temporal clustering analysis were conducted to identify the distribution and high-risk areas. A total of 2034 VL cases were reported, with a mean annual incidence of 0.50 per 100,000. There was a general decreasing trend in the incidence of VL during our study period. The majority of the cases were reported from October to February of the following year, and fewer cases were reported from April to July. Spatial autocorrelation analysis revealed that the incidence of VL was spatially clustered within a few counties. Significant differences were observed during the study period (Moran's I = 0.74, Z = 4.900, p < 0.05). The male-to-female ratio was 1.37:1, and most patients were in the age group 0-3 years. Cases were primarily distributed in seven regions and two autonomous prefectures, and Kashgar reported the highest number of cases (1688, 82.98%). Spatial analysis revealed that the aggregation of VL was predominantly observed in southwest Xinjiang. This was in alignment with the high-risk areas identified by spatiotemporal clustering analysis. The H-H clustering region was primarily observed in Gashi, Atushi, Shufu, Injisha, Kashgar, Yepuhu, and Bachu. These findings indicate that integrated control measures must be taken in different endemic areas to strengthen the VL control program in Xinjiang, China.
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Affiliation(s)
- Jiangshan Zhao
- Center for Disease Control and Prevention of Xinjiang Uygur Autonomous Region, Urumqi 830002, China; (J.Z.); (H.Z.); (S.W.); (H.H.); (G.S.); (W.M.); (Y.H.); (L.Z.)
| | - Yue Zhang
- Department of Public Health, Xinjiang Medical University, Urumqi 830000, China;
| | - Haiting Zhang
- Center for Disease Control and Prevention of Xinjiang Uygur Autonomous Region, Urumqi 830002, China; (J.Z.); (H.Z.); (S.W.); (H.H.); (G.S.); (W.M.); (Y.H.); (L.Z.)
| | - Shuo Wang
- Center for Disease Control and Prevention of Xinjiang Uygur Autonomous Region, Urumqi 830002, China; (J.Z.); (H.Z.); (S.W.); (H.H.); (G.S.); (W.M.); (Y.H.); (L.Z.)
| | - Haibo He
- Center for Disease Control and Prevention of Xinjiang Uygur Autonomous Region, Urumqi 830002, China; (J.Z.); (H.Z.); (S.W.); (H.H.); (G.S.); (W.M.); (Y.H.); (L.Z.)
| | - Guangzhong Shi
- Center for Disease Control and Prevention of Xinjiang Uygur Autonomous Region, Urumqi 830002, China; (J.Z.); (H.Z.); (S.W.); (H.H.); (G.S.); (W.M.); (Y.H.); (L.Z.)
| | - Wumaier Maimaitijiang
- Center for Disease Control and Prevention of Xinjiang Uygur Autonomous Region, Urumqi 830002, China; (J.Z.); (H.Z.); (S.W.); (H.H.); (G.S.); (W.M.); (Y.H.); (L.Z.)
| | - Yanyan Hou
- Center for Disease Control and Prevention of Xinjiang Uygur Autonomous Region, Urumqi 830002, China; (J.Z.); (H.Z.); (S.W.); (H.H.); (G.S.); (W.M.); (Y.H.); (L.Z.)
| | - Ling Zhang
- Center for Disease Control and Prevention of Xinjiang Uygur Autonomous Region, Urumqi 830002, China; (J.Z.); (H.Z.); (S.W.); (H.H.); (G.S.); (W.M.); (Y.H.); (L.Z.)
| | - Jianhai Yin
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute of Parasitic Diseases at Chinese Center for Disease Control and Prevention, Chinese Center for Tropical Diseases Research, Shanghai 200025, China;
- Key Laboratory of Parasite and Vector Biology, National Health Commission of the People’s Republic of China, Shanghai 200025, China
- World Health Organization Centre for Tropical Diseases, Shanghai 200025, China
| | - Yi Wang
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute of Parasitic Diseases at Chinese Center for Disease Control and Prevention, Chinese Center for Tropical Diseases Research, Shanghai 200025, China;
- Key Laboratory of Parasite and Vector Biology, National Health Commission of the People’s Republic of China, Shanghai 200025, China
- World Health Organization Centre for Tropical Diseases, Shanghai 200025, China
| | - Jianping Cao
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute of Parasitic Diseases at Chinese Center for Disease Control and Prevention, Chinese Center for Tropical Diseases Research, Shanghai 200025, China;
- Key Laboratory of Parasite and Vector Biology, National Health Commission of the People’s Republic of China, Shanghai 200025, China
- World Health Organization Centre for Tropical Diseases, Shanghai 200025, China
- The School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
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Wu H, Xue M, Wu C, Lu Q, Ding Z, Wang X, Fu T, Yang K, Lin J. Trend of hand, foot, and mouth disease from 2010 to 2021 and estimation of the reduction in enterovirus 71 infection after vaccine use in Zhejiang Province, China. PLoS One 2022; 17:e0274421. [PMID: 36126038 PMCID: PMC9488823 DOI: 10.1371/journal.pone.0274421] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2022] [Accepted: 08/29/2022] [Indexed: 11/18/2022] Open
Abstract
Background
Zhejiang, ranked in the top three in HFMD (hand, foot, and mouth disease) incidence, is located in the Yangtze River Delta region of southeast China. Since 2016, the EV71 vaccine has been promoted in Zhejiang Province. This study aimed to investigate the trend and seasonal variation characteristics of HFMD from 2010 to 2021 and estimate the reduction in enterovirus 71 infection after vaccine use.
Methods
The data on HFMD cases in Zhejiang Province from January 2010 to December 2021 were obtained from this network system. Individual information on cases and deaths was imported, and surveillance information, including demographic characteristics and temporal distributions, was computed by the system. The Joinpoint regression model was used to describe continuous changes in the incidence trend. The BSTS (Bayesian structural time-series models) model was used to estimate the monthly number of cases from 2017 to 2021 based on the observed monthly incidence during 2010–2016 by accounting for seasonality and long-term trends. The seasonal variation characteristics of HFMD pathogens were detected by wavelet analysis.
Results
From 2010 to 2021, the annual incidence rate fluctuated between 98.81 cases per 100,000 in 2020 and 435.63 cases per 100,000 in 2018, and 1711 severe HFMD cases and 106 fatal cases were reported in Zhejiang Province, China. The annual percent change (APC) in EV71 cases was -30.72% (95% CI: -45.10 to -12.50) from 2016 to 2021. The wavelet transform of total incidence and number of cases of the three pathogens all showed significant periodicity on the 1-year scale. The average 2-year scale periodicity was significant for the total incidence, EV71 cases and Cox A16 cases, but the other enterovirus cases showed significant periodicity on the 30-month scale. The 6-month scale periodicity was significant for the total incidence, EV71 case and Cox A16 case but not for the other enteroviruses case. The relative error percentage of the performance of the BSTS model was 0.3%. The estimated number of cases from 2017 to 2021 after the EV-A71 vaccines were used was 9422, and the reduction in the number of cases infected with the EV71 virus was 73.43% compared to 70.80% when the impact of the COVID-19 epidemic in 2020 was excluded.
Conclusions
Since 2010, the incidence of EV71 infections has shown an obvious downward trend. All types of viruses showed significant periodicity on the 1-year scale. The periodicity of the biennial peak is mainly related to EV71 and Cox A16 before 2017 and other enteroviruses since 2018. The half-year peak cycle of HFMD was mainly caused by EV71 and Cox A6 infection. The expected incidence will be 2.76 times(include the cases of 2020) and 2.43 times(exclude the cases of 2020) higher than the actual value assuming that the measures of vaccination are not taken. EV71 vaccines are very effective and should be administered in the age window between 5 months and 5 years.
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Affiliation(s)
- Haocheng Wu
- Zhejiang Province Center for Disease Control and Prevention, Hangzhou, Zhejiang Province, China
- Key Laboratory for Vaccine, Prevention and Control of Infectious Disease of Zhejiang Province, Hangzhou, Zhejiang Province, China
| | - Ming Xue
- Hangzhou Centre for Disease Control and Prevention, Hangzhou, Zhejiang, Province, China
| | - Chen Wu
- Zhejiang Province Center for Disease Control and Prevention, Hangzhou, Zhejiang Province, China
| | - Qinbao Lu
- Zhejiang Province Center for Disease Control and Prevention, Hangzhou, Zhejiang Province, China
| | - Zheyuan Ding
- Zhejiang Province Center for Disease Control and Prevention, Hangzhou, Zhejiang Province, China
| | - Xinyi Wang
- Zhejiang Province Center for Disease Control and Prevention, Hangzhou, Zhejiang Province, China
| | - Tianyin Fu
- Zhejiang Province Center for Disease Control and Prevention, Hangzhou, Zhejiang Province, China
| | - Ke Yang
- Zhejiang Province Center for Disease Control and Prevention, Hangzhou, Zhejiang Province, China
| | - Junfen Lin
- Zhejiang Province Center for Disease Control and Prevention, Hangzhou, Zhejiang Province, China
- Key Laboratory for Vaccine, Prevention and Control of Infectious Disease of Zhejiang Province, Hangzhou, Zhejiang Province, China
- * E-mail:
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Huang L, Wang T, Liu X, Fu Y, Zhang S, Chu Q, Nie T, Tu H, Chen J, Fan Y. Spatial-temporal-demographic and virological changes of hand, foot and mouth disease incidence after vaccination in a vulnerable region of China. BMC Public Health 2022; 22:1468. [PMID: 35915424 PMCID: PMC9342842 DOI: 10.1186/s12889-022-13860-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2022] [Accepted: 07/22/2022] [Indexed: 11/25/2022] Open
Abstract
Background The enterovirus 71 (EV-A71) vaccine has been used in Hefei for several years, and the epidemiological significance of vaccination in this area is unclear. We aims to explore the spatial–temporal-demographic and virological changes of hand, foot and mouth disease (HFMD) after vaccination in China. Methods The data for HFMD from 2012 to 2020 were downloaded with the help of HFMD reporting system of Hefei Center for Disease Control and Prevention and combined with the EV-A71 vaccination status in Hefei. The study defined the period between 2012 to 2016 as the pre-vaccination period and explored the effect of vaccination on the incidence of HFMD by comparing the changes of HFMD before and after vaccination in terms of spatial, temporal, demographic and virological aspects. Results During the study period, a higher incidence occurred in urban area and the random distribution changed to a slight cluster after vaccination. HFMD incidence had inconsistent seasonality over years, with one or two incidence peaks in varying years. The morbidity decreased from 215.22/105 in 2012–2016 to 179.81/105 in 2017–2020 (p < 0.001). Boys, 0–4 years old children and Scattered children were more susceptible to HFMD compared with the others, the proportions decreased after vaccination except in Scattered children. The main pathogenic enterovirus gradually changed from EV-A71 to Other Enteroviruses, especially coxsackieviruses A6 (CV-A6) after the implementation of EV-A71 vaccination. Conclusions The EV-A71 vaccine was effective in reducing the incidence of HFMD and changing the spatial, temporal, demographic, and virological characteristic. These changes should be considered during the vaccination implementation to further reduce the disease burden of HFMD. Supplementary Information The online version contains supplementary material available at 10.1186/s12889-022-13860-z.
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Affiliation(s)
- Li Huang
- Faculty of Clinical Medicine, Anhui Medical College, Hefei, 230601, Anhui, China
| | - Ting Wang
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, China
| | - Xuxiang Liu
- Hefei Center for Disease Control and Prevention, Hefei, 230061, Anhui, China
| | - Yuansheng Fu
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, China
| | - Sichen Zhang
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, China
| | - Qinshu Chu
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, China
| | - Tingyue Nie
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, China
| | - Houmian Tu
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, China
| | - Jian Chen
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, China.
| | - Yinguang Fan
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, China.
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