Objective:The objective of this study was to understand the incidence, spatial and temporal distribution characteristics and trends of bacillary dysentery in China from 2005 to 2024 in order to identify the high-risk groups and reveal the potential risk factors and to provide a scientific basis for optimizing the allocation of preventive and control resources, formulating targeted intervention strategies and assessing the effectiveness of the measures.Methods:The nationally reported incidence data of bacillary dysentery was collected from 2005 to 2024 in the Chinese Center for Disease Control and Prevention National Notifiable Diseases Reporting Information System. Descriptive epidemiological methods were used to analyze the population characteristics of bacillary dysentery cases. A Joinpoint regression model was constructed to examine long-term trends in reported incidence rates and spatial dynamic window scanning statistics were applied to detect spatial clusters of bacillary dysentery cases.Results:Between 2005 and 2024, 3 520 247 cases of bacillary dysentery were reported across China, with an average incidence rate of 12.88 per 100 000 people, after which the rate of decline decreased. The incidence rate showed a general downward trend, featuring a significant inflection point in 2016. It exhibited marked seasonality, peaking from May to October (summer-autumn), which weakened over time. From 2005 to 2024, the most likely clusters were in Beijing and Tianjin. Males, infants, the elderly, farmers, and children not in daycare showed many cases.Conclusions:The results revealed that the peak incidence of bacillary dysentery in China from 2005 to 2024 was featured in the summer-autumn months. High-incidence areas were mainly Beijing and Tianjin. The key groups, including males, infants, the elderly, farmers and children not in daycare, were identified. Enhancing surveillance, targeted health education, and preventive measures, especially in these key populations and in regions where the disease shows a high incidence should be strengthened.

Objective:To analyze the epidemiological characteristics and trend of acute hemorrhagic conjunctivitis (AHC) in China from 2015 to 2022, and to provide evidence for the adjustment of prevention and control strategies and measures for AHC.Methods:The case data of AHC reported by national notifiable disease information system from 2015 to 2022 were collected, and descriptive analysis method were used to analyze the population distribution characteristics, temporal epidemiological trends and spatial clusters of AHC in China.Results:From 2015 to 2022, the incidence of AHC in China ranged from 1.85/100 000 to 2.97/100 000, with a fluctuating downward trend. The average annual percent change (AAPC) was -4.91 (95% CI: -7.74 to -2.00, P<0.05), with an annual percent change (APC) of 2.73 (95% CI: -2.34 to 8.06, P=0.189) for 2015—2019 and an APC of -14.23 (95% CI: -21.78 to -5.94, P<0.05). The age-specific incidence rate was highest in children aged 0-4 years (fluctuating between 4.69 and 5.67/100 000 from 2015 to 2019; It decreased significantly during 2020—2022, fluctuating between 1.93 and 2.72 per 100 000).The proportion of cases in children at 0-4 years of age showed a fluctuating downward trend from 8.68% in 2015 to 3.76% in 2020, with an increase in 2021—2022 to 5.74%. After 2020, the proportion of the population aged 60 years and above has increased, reaching 33.59% in 2022. Cases were mainly farmers, with a fluctuating upward trend of around 50% per year, with the highest percentage of 60.96% in 2020. The peak seasonal incidence of AHC was obvious from May to September from 2015 to 2019, but it was not obvious in 2020—2022. The cases were mainly distributed in Guangxi, Hainan and other provinces in the southwestern part of China. The high incidence counties were concentrated in Leye County of Guangxi, Maojian District of Hubei, Fuchuan Yao Autonomous County of Guangxi, Funing County of Yunnan, and Pulan County of Tibet every year. Conclusions:The overall epidemic rate of AHC in China showed a fluctuating downward trend from 2015 to 2022, with a pronounced decline observed between 2020 and 2022, potentially linked to non-pharmaceutical interventions during the COVID-19 pandemic. Increased attention needs to be given to farmers and people above 60 years of age to reduce the risk of morbidity. Moreover, prevention and control efforts should be strengthened in high-risk areas of southwestern China, and comprehensive measures should be implemented in counties with high incidence, including enhanced health education campaigns and improved allocation of sanitary facilities, to reduce the risk of AHC infection. This study is the first to highlight the potential impact of public health policies on AHC epidemiology, thereby offering a scientific foundation for population- and region-specific precision prevention strategies, particularly guiding the refinement of control measures in high-burden areas.

Objective:To analyze the epidemiological characteristics and infection sources of cholera in China from 2005 to 2024.Methods:A total of 2 066 cholera cases were included in the study, which were obtained from the China Disease Control and Prevention Information System (CDPCIS) of China CDC. The information on cholera clusters was downloaded from the National Public Health Emergency Event Surveillance System (PHEESS) of China CDC. A total of 128 cholera clusters were included and analyzed in this study. The epidemiological characteristics and infection sources of cholera were analyzed. The Jointpoint model was applied to analyze the incidence trend, and annual percentage change (APC) was also quantified.Results:From 2005 to 2024, a total of 2 066 cholera cases were reported, with an average of 103 cases reported annually. Specifically, the incidence showed a marked downward trend from 2004 to 2015 ( APC=-26.78%, P=0.006). During 2015-2024, the disease remained at low endemic levels, with an average of 18 reported cases annually ( APC=-2.68%, P=0.807). Cholera peak season was from May to October. A total of 24 provinces reported cholera cases, which were mainly distributed in Zhejiang, Fujian, Beijing, Jiangsu, Anhui, Guangdong, and Hainan provinces, accounting for 78.03% of the total cases. Pathogen surveillance indicated an alternating prevalence of Vibrio cholerae serogroups O1 and O139 among laboratory-confirmed cases between 2005 and 2024. There was a disparity in the dominant serogroup of Vibrio cholerae by region. The results from 128 cholera clusters indicated that cholera outbreaks frequently occurred in rural banquets (64.84%), followed by regular restaurants (13.28%). Among these, 63 clusters (49.22%) with identified infection sources indicated that foodborne transmission (95.24%) was the primary mode of cholera transmission, which mainly through seafood and aquatic products, such as soft-shelled turtles, shrimp and shellfish. The characteristics of cholera clusters caused by Vibrio cholerae serogroups O1 and O139 showed statistically significant differences in scale, attack rate, place of residence, setting, and infection source ( P<0.05). Conclusion:Cholera incidence has remained consistently low since 2015 in China, mainly in sporadic cases. Rural gatherings (e.g., wedding banquets) are the main settings for cholera clusters. The main infection sources are predominantly caused by cross-contamination due to improper processing practices of aquatic products, such as soft-shelled turtles.

Objective:The objective of this study was to understand the incidence, spatial and temporal distribution characteristics and trends of bacillary dysentery in China from 2005 to 2024 in order to identify the high-risk groups and reveal the potential risk factors and to provide a scientific basis for optimizing the allocation of preventive and control resources, formulating targeted intervention strategies and assessing the effectiveness of the measures.Methods:The nationally reported incidence data of bacillary dysentery was collected from 2005 to 2024 in the Chinese Center for Disease Control and Prevention National Notifiable Diseases Reporting Information System. Descriptive epidemiological methods were used to analyze the population characteristics of bacillary dysentery cases. A Joinpoint regression model was constructed to examine long-term trends in reported incidence rates and spatial dynamic window scanning statistics were applied to detect spatial clusters of bacillary dysentery cases.Results:Between 2005 and 2024, 3 520 247 cases of bacillary dysentery were reported across China, with an average incidence rate of 12.88 per 100 000 people, after which the rate of decline decreased. The incidence rate showed a general downward trend, featuring a significant inflection point in 2016. It exhibited marked seasonality, peaking from May to October (summer-autumn), which weakened over time. From 2005 to 2024, the most likely clusters were in Beijing and Tianjin. Males, infants, the elderly, farmers, and children not in daycare showed many cases.Conclusions:The results revealed that the peak incidence of bacillary dysentery in China from 2005 to 2024 was featured in the summer-autumn months. High-incidence areas were mainly Beijing and Tianjin. The key groups, including males, infants, the elderly, farmers and children not in daycare, were identified. Enhancing surveillance, targeted health education, and preventive measures, especially in these key populations and in regions where the disease shows a high incidence should be strengthened.

Objective:To analyze the epidemiological characteristics and infection sources of cholera in China from 2005 to 2024.Methods:A total of 2 066 cholera cases were included in the study, which were obtained from the China Disease Control and Prevention Information System (CDPCIS) of China CDC. The information on cholera clusters was downloaded from the National Public Health Emergency Event Surveillance System (PHEESS) of China CDC. A total of 128 cholera clusters were included and analyzed in this study. The epidemiological characteristics and infection sources of cholera were analyzed. The Jointpoint model was applied to analyze the incidence trend, and annual percentage change (APC) was also quantified.Results:From 2005 to 2024, a total of 2 066 cholera cases were reported, with an average of 103 cases reported annually. Specifically, the incidence showed a marked downward trend from 2004 to 2015 ( APC=-26.78%, P=0.006). During 2015-2024, the disease remained at low endemic levels, with an average of 18 reported cases annually ( APC=-2.68%, P=0.807). Cholera peak season was from May to October. A total of 24 provinces reported cholera cases, which were mainly distributed in Zhejiang, Fujian, Beijing, Jiangsu, Anhui, Guangdong, and Hainan provinces, accounting for 78.03% of the total cases. Pathogen surveillance indicated an alternating prevalence of Vibrio cholerae serogroups O1 and O139 among laboratory-confirmed cases between 2005 and 2024. There was a disparity in the dominant serogroup of Vibrio cholerae by region. The results from 128 cholera clusters indicated that cholera outbreaks frequently occurred in rural banquets (64.84%), followed by regular restaurants (13.28%). Among these, 63 clusters (49.22%) with identified infection sources indicated that foodborne transmission (95.24%) was the primary mode of cholera transmission, which mainly through seafood and aquatic products, such as soft-shelled turtles, shrimp and shellfish. The characteristics of cholera clusters caused by Vibrio cholerae serogroups O1 and O139 showed statistically significant differences in scale, attack rate, place of residence, setting, and infection source ( P<0.05). Conclusion:Cholera incidence has remained consistently low since 2015 in China, mainly in sporadic cases. Rural gatherings (e.g., wedding banquets) are the main settings for cholera clusters. The main infection sources are predominantly caused by cross-contamination due to improper processing practices of aquatic products, such as soft-shelled turtles.

Objective:To analyze the epidemiological characteristics and trend of acute hemorrhagic conjunctivitis (AHC) in China from 2015 to 2022, and to provide evidence for the adjustment of prevention and control strategies and measures for AHC.Methods:The case data of AHC reported by national notifiable disease information system from 2015 to 2022 were collected, and descriptive analysis method were used to analyze the population distribution characteristics, temporal epidemiological trends and spatial clusters of AHC in China.Results:From 2015 to 2022, the incidence of AHC in China ranged from 1.85/100 000 to 2.97/100 000, with a fluctuating downward trend. The average annual percent change (AAPC) was -4.91 (95% CI: -7.74 to -2.00, P<0.05), with an annual percent change (APC) of 2.73 (95% CI: -2.34 to 8.06, P=0.189) for 2015—2019 and an APC of -14.23 (95% CI: -21.78 to -5.94, P<0.05). The age-specific incidence rate was highest in children aged 0-4 years (fluctuating between 4.69 and 5.67/100 000 from 2015 to 2019; It decreased significantly during 2020—2022, fluctuating between 1.93 and 2.72 per 100 000).The proportion of cases in children at 0-4 years of age showed a fluctuating downward trend from 8.68% in 2015 to 3.76% in 2020, with an increase in 2021—2022 to 5.74%. After 2020, the proportion of the population aged 60 years and above has increased, reaching 33.59% in 2022. Cases were mainly farmers, with a fluctuating upward trend of around 50% per year, with the highest percentage of 60.96% in 2020. The peak seasonal incidence of AHC was obvious from May to September from 2015 to 2019, but it was not obvious in 2020—2022. The cases were mainly distributed in Guangxi, Hainan and other provinces in the southwestern part of China. The high incidence counties were concentrated in Leye County of Guangxi, Maojian District of Hubei, Fuchuan Yao Autonomous County of Guangxi, Funing County of Yunnan, and Pulan County of Tibet every year. Conclusions:The overall epidemic rate of AHC in China showed a fluctuating downward trend from 2015 to 2022, with a pronounced decline observed between 2020 and 2022, potentially linked to non-pharmaceutical interventions during the COVID-19 pandemic. Increased attention needs to be given to farmers and people above 60 years of age to reduce the risk of morbidity. Moreover, prevention and control efforts should be strengthened in high-risk areas of southwestern China, and comprehensive measures should be implemented in counties with high incidence, including enhanced health education campaigns and improved allocation of sanitary facilities, to reduce the risk of AHC infection. This study is the first to highlight the potential impact of public health policies on AHC epidemiology, thereby offering a scientific foundation for population- and region-specific precision prevention strategies, particularly guiding the refinement of control measures in high-burden areas.

Objective:To analyze the nationwide epidemiological characteristics and trend of hand, foot and mouth disease (HFMD) fatal cases from 2008 to 2022 and provide evidence for the prevention and control of HFMD.Methods:The information on HFMD fatal cases during 2008 to 2022 was collected from the National Notifiable Disease Surveillance Reporting System of China. Data of the epidemiological characteristics was analyzed by R 4.2.2 software and the changing trends for the case fatality rates, mortality rates and their age-adjusted rates were analyzed by Joinpoint 4.9.10 software.Results:From 2008 to 2022, a total of 3 704 fatal HFMD cases were reported in China. The fatal cases were primarily observed in children aged <3 years (83.42%, 3 090/3 704). The male and female gender ratio was 1.82 ∶1 (2 389 ∶1 315). Regarding the age-adjusted case fatality rates over time, there was a rapid increase from 2008 to 2010 [annual percentage change (APC) =41.97%, P<0.05]. From 2010 to 2016, a steady decline was observed (APC=-28.57%, P<0.05), and the decline accelerated (APC=-39.66%, P<0.05) from 2016 to 2022. Since 2020, less than 10 fatal cases were reported annually nationwide. Among the 2 566 laboratory-confirmed deaths from 2008 to 2022, Enterovirus A71 (EV71) was the predominant pathogen (91.62%,2 351/2 566). There have been noticeable changes in the pathogen composition since 2017, decreasing in EV71 and increasing in the proportion of fatalities caused by Coxsackievirus A16 (CV-A16) and other enteroviruses. Conclusions:From 2008 to 2022, the HFMD case fatality rates and mortality rates continuously declined, peaked in 2010. Since 2017, the decline of HFMD case fatality rates has been noticeably accelerated. Along with the decrease in the proportion of EV71 in HFMD fatal cases, the proportion of other enteroviruses appeared increasing. It is essential to continuously monitor the etiological spectrum of the fatal cases.

Hand, foot and mouth disease (HFMD) is a widespread infectious disease mainly affecting children aged five and under. In China, the current epidemic situation of HFMD remains severe, with a persistently high and increasing incidence rate, causing a substantial disease burden. A monovalent vaccine against Enterovirus A71 (EV-A71), the most common cause of severe and fatal HFMD cases, has been available in China since 2016. Although randomized controlled trials established the vaccine's efficacy among research subjects, this may not reflect the impact under "real world" conditions in the general population. Therefore, based on a systematic literature search, this paper comprehensively reviewed and analyzed relevant studies based on real-world data and collected real-world evidence about the EV-A71 vaccine on the controlling HFMD incidence. It was found that the real-world study of the EV-A71 vaccine on HFMD was few; most were limited to a province or city; there is no study comprehensively considered other important influencing factors in addition to immunization, such as temperature, relative humidity, the age structure of the population, gross domestic product, etc. The progress of using real-world data to study the impact of the EV-A71 vaccine on HFMD reviewed in this study is helpful to have a clear and comprehensive understanding of the status quo and will provide guidance and reference for future studies to assess the short-term and long-term effects of EV-A71 vaccine and other vaccines.

BACKGROUND: Severe hand-foot-and-mouth disease (HFMD) is a life-threatening contagious disease among young children and infants. Although enterovirus A71 has been well acknowledged to be the dominant cause of severe HFMD, there still remain other unidentified risk factors for severe HFMD. Previous studies mainly focused on identifying the individual-level risk factors from a clinical perspective, while rare studies aimed to clarify the association between regional-level risk factors and severe HFMD, which may be more important from a public health perspective. METHODS: We retrieved the clinical HFMD counts between 2008 and 2014 from the Chinese Center for Disease Control and Prevention, which were used to calculated the case-severity rate in 143 prefectural-level cities in mainland China. For each of those 143 cities, we further obtained city-specific characteristics from the China City Statistical Yearbook (social and economic variables) and the national meteorological monitoring system (meteorological variables). A Poisson regression model was then used to estimate the associations between city-specific characteristics (reduced by the principal component analysis to avoid multicollinearity) and the case-severity rate of HFMD. The above analysis was further stratified by age and gender to examine potential modifying effects and vulnerable sub-populations. RESULTS: We found that the case-severity rate of HFMD varied dramatically between cities, ranging from 0 to 8.09%. Cities with high case-severity rates were mainly clustered in Central China. By relating the case-severity rate to city-specific characteristics, we found that both the principal component characterized by a high level of social and economic development (RR = 0.823, 95%CI 0.739, 0.916) and another that characterized by warm and humid climate (RR = 0.771, 95%CI 0.619, 0.960) were negatively associated with the case-severity rate of HFMD. These estimations were consistent across age and gender sub-populations. CONCLUSION Except for the type of infected pathogen, the case-severity rate of HFMD was closely related to city development and meteorological factor. These findings suggest that social and environmental factors may also play an important role in the progress of severe HFMD.
Adolescent ; Child ; Child, Preschool ; China/epidemiology* ; Cities/epidemiology* ; Female ; Hand, Foot and Mouth Disease/virology* ; Humans ; Incidence ; Infant ; Infant, Newborn ; Male ; Risk Factors

Objective: To understand the characteristics and changes of the incidence of amoebic dysentery in China during 2015-2018, explore the causes of high incidence in some areas and provide a data base for the development of national prevention and control strategies and measures. Methods: Data were collected from the infectious disease reporting management information system from Chinese Disease Control and Prevention. To understand the seasonal, population and area distributions of amoebic dysentery, descriptive epidemiological method and software SPSS 16.0 were used to analyze the amoebic dysentery data. Results: A total of 4 366 amoebic dysentery cases were reported without death in China during 2015-2018. The reported average annual incidence was 0.08/100 000, and the overall proportion of laboratory confirmed cases was 68.23%(2 979/4 366). Amoeba dysentery mainly occurred during May to October. One seasonal peak was observed in 2015 and 2017 (July and June, respectively), and two seasonal peaks were observed in 2016 and 2018 (June and October). The patients were mainly children aged under 5 years (42.28%, 1 846/4 366), and the incidence rate decreased with age in children aged under 10 years. Of these, children under 1 years of age had the highest incidence rate (1.28/100 000). The number of cumulative reported cases in Guangxi, Henan, Guangdong, Heilongjiang and Jiangxi provinces ranked top five from 2015-2018, accounting for 64.50% (2 816/4 366) of the total. The cumulative cases in Dongxing county, Guangxi, in Suixian county, Henan and in Ranghulu district, Heilongjiang, respectively accounted for more than 50.00% of the total number of cases in their provinces. Conclusions The incidence rate of amoebic dysentery reported in China during 2015-2018 showed a decreasing trend, with a higher incidence in children under 5 years old and a higher number of cases in some areas. It is suggested to further investigate and analyze the diagnosis and reporting of amoeba dysentery in key areas and promote the update of the diagnostic standards for amoeba dysentery.