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Wang W, Deng D, Gong S, Chen H, Hu L. Influencing factors of hand, foot, and mouth disease based on structural equation modeling in Hubei, China. Sci Rep 2025; 15:3571. [PMID: 39875454 PMCID: PMC11775247 DOI: 10.1038/s41598-025-87853-4] [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: 07/14/2024] [Accepted: 01/22/2025] [Indexed: 01/30/2025] Open
Abstract
Hand, foot and mouth disease (HFMD) is a major public health issue in Hubei Province; however, research on the direct and indirect effects of factors affecting HFMD is limited. This study employed structural equation modeling (SEM) and geographically weighted regression (GWR) to investigate the various impacts and spatial variations in the factors influencing the HFMD epidemic in Hubei Province from 2016 to 2018. The results indicated that (1) with respect to the direct effects, the number of primary school students had the greatest positive direct effect on the number of HFMD cases, with a coefficient of 0.542. Socioeconomic factors strongly influence HFMD cases more directly than natural factors. (2) Concerning indirect effects, the minimum temperature, combined with the per capita disposable income of urban residents, had the greatest positive indirect effect on HFMD cases, with a coefficient of 0.022. Both natural and social factors had more substantial direct impacts on the HFMD epidemic than indirect impacts. (3) Regarding total effects, the number of primary school students, through various natural and social factors, had a total effect coefficient of 0.503 on HFMD incidence. (4) The number of primary school students, per capita GDP, and the number of hospital beds per thousand people had the most significant spatial impacts on HFMD cases. In underdeveloped regions, the HFMD epidemic is more heavily influenced by economic factors.
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Affiliation(s)
- Wuwei Wang
- Institute of China Rural Studies, Central China Normal University, Wuhan, Hubei, China
| | - Dacai Deng
- Institute of China Rural Studies, Central China Normal University, Wuhan, Hubei, China.
| | - Shengsheng Gong
- Institute of Sustainable Development & Department of Geography, Central China Normal University, Wuhan, Hubei, China
| | - Hongying Chen
- Center for Disease Control and Prevention of Hubei Province, Wuhan, Hubei, China.
| | - Long Hu
- Center for Disease Control and Prevention of Hubei Province, Wuhan, Hubei, China
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Zhang C, Bao L, Qi F, Lv Q, Li F, Qin C. ILC3 Function as a Double-Edged Sword in EV71 Infection. Viruses 2025; 17:184. [PMID: 40006939 DOI: 10.3390/v17020184] [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: 12/18/2024] [Revised: 01/21/2025] [Accepted: 01/26/2025] [Indexed: 02/27/2025] Open
Abstract
Enterovirus 71 (EV71) is a common pathogen responsible for hand, foot, and mouth disease (HFMD), leading to severe neurological complications and even death. However, the mechanisms underlying severe EV71-induced disease remain unclear, and no effective specific treatments are available. In this study, we successfully infected mice of different ages using a mouse-adapted EV71 strain, resulting in disease and mortality. We compared immune system responses between infected and uninfected mice of different ages to identify key pathogenic targets during EV71 infection. Our findings revealed that the level of Group 3 Innate Lymphoid Cells (ILC3s) in mice negatively correlated with the severity of disease induced by EV71 infection. We conducted anti-ILC3 cytokine injections and cytokine neutralizing antibody experiments on 14-day-old EV71-infected mice. The results showed that the cytokine IL-17 secreted by ILC3 cells had a mild protective effect, while IL-22 promoted inflammatory responses. Our research demonstrates that ILC3 cells play a dual role in EV71 infection. These findings not only clarify key immune factors in the progression of EV71-induced disease but also provide a promising approach for the early diagnosis and treatment of severe EV71 infections.
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Affiliation(s)
- Chang Zhang
- Beijing Key Laboratory for Animal Models of Emerging and Remerging Infectious Diseases, Institute of Laboratory Animal Science, Chinese Academy of Medical Sciences, Beijing 100021, China
- NHC Key Laboratory of Human Disease Comparative Medicine, Comparative Medicine Center, Peking Union Medical College, Beijing 100021, China
| | - Linlin Bao
- Beijing Key Laboratory for Animal Models of Emerging and Remerging Infectious Diseases, Institute of Laboratory Animal Science, Chinese Academy of Medical Sciences, Beijing 100021, China
- NHC Key Laboratory of Human Disease Comparative Medicine, Comparative Medicine Center, Peking Union Medical College, Beijing 100021, China
| | - Feifei Qi
- Beijing Key Laboratory for Animal Models of Emerging and Remerging Infectious Diseases, Institute of Laboratory Animal Science, Chinese Academy of Medical Sciences, Beijing 100021, China
- NHC Key Laboratory of Human Disease Comparative Medicine, Comparative Medicine Center, Peking Union Medical College, Beijing 100021, China
| | - Qi Lv
- Beijing Key Laboratory for Animal Models of Emerging and Remerging Infectious Diseases, Institute of Laboratory Animal Science, Chinese Academy of Medical Sciences, Beijing 100021, China
- NHC Key Laboratory of Human Disease Comparative Medicine, Comparative Medicine Center, Peking Union Medical College, Beijing 100021, China
| | - Fengdi Li
- Beijing Key Laboratory for Animal Models of Emerging and Remerging Infectious Diseases, Institute of Laboratory Animal Science, Chinese Academy of Medical Sciences, Beijing 100021, China
- NHC Key Laboratory of Human Disease Comparative Medicine, Comparative Medicine Center, Peking Union Medical College, Beijing 100021, China
| | - Chuan Qin
- Beijing Key Laboratory for Animal Models of Emerging and Remerging Infectious Diseases, Institute of Laboratory Animal Science, Chinese Academy of Medical Sciences, Beijing 100021, China
- NHC Key Laboratory of Human Disease Comparative Medicine, Comparative Medicine Center, Peking Union Medical College, Beijing 100021, China
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Dai B, Chen Y, Han S, Chen S, Wang F, Feng H, Zhang X, Li W, Chen S, Yang H, Duan G, Li G, Jin Y. Epidemiology and etiology of hand, foot, and mouth disease in Zhengzhou, China, from 2009 to 2021. INFECTIOUS MEDICINE 2024; 3:100114. [PMID: 38974346 PMCID: PMC11225680 DOI: 10.1016/j.imj.2024.100114] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/11/2023] [Revised: 12/18/2023] [Accepted: 04/02/2024] [Indexed: 07/03/2024]
Abstract
Background Hand, foot, and mouth disease (HFMD) is a common childhood infectious disease caused by a variety of enteroviruses (EVs). To explore the epidemiological characteristics and etiology of HFMD in Zhengzhou, China, we conducted a systematic analysis of HFMD surveillance data from Zhengzhou Center for Disease Control and Prevention from January 2009 to December 2021 (https://wjw.zhengzhou.gov.cn/). Methods Surveillance data were collected from Zhengzhou Center for Disease Control and Prevention from January 2009 to December 2021 (https://wjw.zhengzhou.gov.cn/). Cases were analyzed according to the time of onset, type of diagnosis, characteristics, viral serotype, and epidemiological trends. Results We found that the primary causative agent responsible for the HFMD outbreaks in Zhengzhou was Enterovirus A71 (EVA-71) (48.56%) before 2014. After 2015, other EVs gradually became the dominant strains (57.68%). The data revealed that the HFMD epidemics in Zhengzhou displayed marked seasonality, with major peaks occurring from April to June, followed by secondary peaks from October to November, except in 2020. Both the severity and case-fatality ratio of HFMD decreased following the COVID-19 pandemic (severity ‰: 13.46 vs. 0.17; case-fatality ‰: 0.21 vs. 0, respectively). Most severe cases were observed in patients aged 1 year and below, accounting for 45.81%. Conclusions Overall, the incidence rate of HFMD decreased in Zhengzhou following the introduction of the EVA-71 vaccine in 2016. However, it is crucial to acknowledge that HFMD prevalence continues to exhibit a distinct seasonal pattern and periodicity, and the occurrence of other EV infections poses a new challenge for children's health.
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Affiliation(s)
- Bowen Dai
- Department of Epidemiology, College of Public Health, Zhengzhou University, Zhengzhou 450001, China
- Zhengzhou Center for Disease Control and Prevention, Zhengzhou 450007, China
| | - Yu Chen
- Department of Epidemiology, College of Public Health, Zhengzhou University, Zhengzhou 450001, China
| | - Shujie Han
- Department of Epidemiology, College of Public Health, Zhengzhou University, Zhengzhou 450001, China
| | - Shouhang Chen
- Children's Hospital Affiliated to Zhengzhou University, Henan Children's Hospital, Zhengzhou 450018, China
| | - Fang Wang
- Children's Hospital Affiliated to Zhengzhou University, Henan Children's Hospital, Zhengzhou 450018, China
| | - Huifen Feng
- Department of Infectious Diseases, The Fifth Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - Xiaolong Zhang
- NHC Key Laboratory of Birth Defects Prevention, Henan Key Laboratory of Population Defects Prevention, Zhengzhou 450002, China
| | - Wenlong Li
- Zhengzhou Center for Disease Control and Prevention, Zhengzhou 450007, China
| | - Shuaiyin Chen
- Department of Epidemiology, College of Public Health, Zhengzhou University, Zhengzhou 450001, China
| | - Haiyan Yang
- Department of Epidemiology, College of Public Health, Zhengzhou University, Zhengzhou 450001, China
| | - Guangcai Duan
- Department of Epidemiology, College of Public Health, Zhengzhou University, Zhengzhou 450001, China
| | - Guowei Li
- Zhengzhou Center for Disease Control and Prevention, Zhengzhou 450007, China
| | - Yuefei Jin
- Department of Epidemiology, College of Public Health, Zhengzhou University, Zhengzhou 450001, China
- Children's Hospital Affiliated to Zhengzhou University, Henan Children's Hospital, Zhengzhou 450018, China
- NHC Key Laboratory of Birth Defects Prevention, Henan Key Laboratory of Population Defects Prevention, Zhengzhou 450002, China
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Wang L, Xu C, Wang J, Qiao J, Wu N, Li L. Spatiotemporal associations between hand, foot and mouth disease and meteorological factors over multiple climate zones. INTERNATIONAL JOURNAL OF BIOMETEOROLOGY 2023; 67:1493-1504. [PMID: 37458818 DOI: 10.1007/s00484-023-02519-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/03/2022] [Revised: 05/25/2023] [Accepted: 07/05/2023] [Indexed: 08/17/2023]
Abstract
Prior studies of hand, foot, and mouth disease (HFMD) have often observed inconsistent results regarding meteorological factors. We propose the hypothesis that these meteorological associations vary in regions because of the heterogeneity of their geographical characteristics. We have tested this hypothesis by applying a geographical detector and Bayesian space-time hierarchy model to measure stratified spatiotemporal heterogeneity and local associations between meteorological factors and HFMD risk in five climate zones in China from January 2016 to December 2017. We found a significant spatial stratified heterogeneity in HFMD risk and climate zone explained 15% of the spatial stratified heterogeneity. Meanwhile, there was a significant temporal stratified heterogeneity of 14% as determined by meteorological factors. Average temperatures and relative humidity had a significant positive effect on HFMD in all climate zones, they were the most obvious in the southern temperate zone. In northern temperate, southern temperate, northern subtropics, middle subtropics and southern subtropics climate zone, a 1 °C rise in temperature was related to an increase of 3.99%, 13.76%, 4.38%, 3.99%, and 7.74% in HFMD, and a 1% increment in relative humidity was associated with a 1.51%, 5.40%, 2.21%, 3.44%, and 4.78% increase, respectively. These findings provide strong support for our hypotheses that HFMD incidence has a significant spatiotemporal stratified heterogeneity and different climate zones have distinct influences on the disease. These findings provide strong support for our hypotheses: HFMD incidence had significant spatiotemporal stratified heterogeneity and different climate zones had distinct influences on it. The study suggested that HFMD prevention and policy should be made according to meteorological variation in each climate zone.
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Affiliation(s)
- Li Wang
- College of Geography and Environmental Science, Henan University, Kaifeng, China
- State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Science and Natural Resource Research, Chinese Academy of Sciences, Beijing, China
- Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions (Henan University), Ministry of Education, Kaifeng, China
| | - Chengdong Xu
- State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Science and Natural Resource Research, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Jinfeng Wang
- State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Science and Natural Resource Research, Chinese Academy of Sciences, Beijing, China.
- University of Chinese Academy of Sciences, Beijing, China.
| | - Jiajun Qiao
- College of Geography and Environmental Science, Henan University, Kaifeng, China.
- Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions (Henan University), Ministry of Education, Kaifeng, China.
| | - Nalin Wu
- College of Geography and Environmental Science, Henan University, Kaifeng, China
- Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions (Henan University), Ministry of Education, Kaifeng, China
| | - Li Li
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
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Zhang Q, Liu W, Wang W, Zhang L, Li J, Tang R, Jin J, Chen W, Zhang L. Analysis of spatial-temporal distribution characteristics and natural infection status of SFTS cases in Hefei from 2015 to 2021. Environ Health Prev Med 2023; 28:70. [PMID: 37967947 PMCID: PMC10654213 DOI: 10.1265/ehpm.23-00149] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2023] [Accepted: 09/21/2023] [Indexed: 11/17/2023] Open
Abstract
BACKGROUND To analyze the prevalence and spatial-temporal characteristics of severe fever with thrombocytopenia syndrome (SFTS), clustering mode of transmission, and the serological dynamic detection results in multiple areas in Hefei from 2015 to 2021, and to provide the basis for SFTS prevention and control. METHOD Case data were obtained from the Chinese Disease Control and Prevention Information System. Information on the clustering outbreak was obtained from the outbreak investigation and disposal report. Population latent infection rate information was obtained from field sampling in multiple-incidence counties in 2016 and 2021 by multi-stage random sampling. Epi data3.2 and SPSS 16.0 softwares were used to perform a statistical analysis of the data on SFTS cases, and QGIS 3.26 software was used to draw the incidence map with township (street) as unit. RESULTS The an average annual reported incidence rate of SFTS in Hefei from 2015 to 2021 was 0.65/100,000, and the case fatality rate was 9.73%. The overall prevalence of SFTS epidemics in Hefei City showed a fluctuating upward trend from 2015 to 2021 (χ2trends = 103.353, P < 0.001). Chaohu City, Feixi County, Feidong County and Lujiang County ranked the top 4 in the city in terms of average annual incidence rate. The number of epidemic-involved towns (streets) kept increasing ((χ2trend = 47.640, P = 0.000)). Co-exposure to ticks accounted for the majority of clustered outbreaks and also human-to-human outbreaks. Population-based latent infection rate surveys were conducted in four SFTS multi-incidence counties, with 385 people surveyed in 2016 and 403 people surveyed in 2021, increasing the population-based latent infection rate from 6.75% to 10.91%, just as the incidence rate increased. CONCLUSIONS The incidence rate of SFTS in Hefei is obviously regional, with an expanding trend in the extent of the epidemic involved. Co-exposure to ticks accounted for the majority of clustered outbreaks and the latent infection rate cannot be ignored.
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Affiliation(s)
- Qi Zhang
- Hefei Center for Disease Control and Prevention, Hefei, China
| | - Wenwen Liu
- Hefei Center for Disease Control and Prevention, Hefei, China
| | - Wenjing Wang
- Hefei Center for Disease Control and Prevention, Hefei, China
| | - Linlin Zhang
- Hefei Center for Disease Control and Prevention, Hefei, China
| | - Juan Li
- Hefei Center for Disease Control and Prevention, Hefei, China
| | - Renshu Tang
- Hefei Center for Disease Control and Prevention, Hefei, China
| | - Jing Jin
- Hefei Center for Disease Control and Prevention, Hefei, China
| | - Wei Chen
- Hefei Center for Disease Control and Prevention, Hefei, China
| | - Lei Zhang
- Hefei Center for Disease Control and Prevention, Hefei, China
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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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