Background Hemorrhagic fever with renal syndrome(HFRS)is a climate-sensitive zoonotic disease that poses a significant public health burden worldwide.While previous studies have established associations between meteor...Background Hemorrhagic fever with renal syndrome(HFRS)is a climate-sensitive zoonotic disease that poses a significant public health burden worldwide.While previous studies have established associations between meteorological factors and HFRS incidence,there remains a critical knowledge gap regarding the heterogeneity of these effects across diverse epidemic regions.Addressing this gap is essential for developing region-specific prevention and control strategies.This study conducted a national investigation to examine the associations between meteorological factors and HFRS in three distinct epidemic regions.Methods We collected daily meteorological data(temperature and relative humidity)and HFRS incidence cases of 285 cities in China from the Resource and Environment Science and Data Center and the Chinese National Notifiable Infectious Disease Reporting Information System from 2005-2022.Study locations were stratified into three distinct epidemic categories(Rattus-dominant,Apodemus-dominant,and mixed)based on the seasonality of peak incidence.The associations between meteorological variables and HFRS incidence were investigated using a timestratified case-crossover design combined with distributed lag nonlinear modeling for each epidemic category.Results The exposure-response relationships between meteorological factors and HFRS incidence revealed significant heterogeneity across epidemic regions,as evidenced by Cochran’s Q test for temperature(Q=324.40,P<0.01)and relative humidity(Q=30.57,P<0.01).The optimal daily average temperature for HFRS transmission in Rattusdominant epidemic regions(-6.6℃),characterized by spring epidemics,was lower than that observed in Apodemusdominant epidemic regions(13.7℃),where primary cases occurred during autumn and winter months.Furthermore,the association between relative humidity and HFRS incidence exhibited as a monotonic negative correlation in Rattus-dominant regions,while Apodemus-dominant regions showed a nonlinear,inverted U-shaped association.Conclusions This study highlights the heterogeneous effects of meteorological factors on HFRS incidence across different epidemic regions.Targeted preventive measures should be taken during cold and dry spring days in Rattusdominant regions,and during warm and moderately humid winter days in Apodemus-dominant regions.In mixed epidemic regions,both scenarios require attention.These findings provide novel scientific evidence for the formulation and implementation of region-specific HFRS prevention policies.展开更多
Increases in ambient temperatures and the frequency of extreme heat events constitute important burdens on global public health.However,evidence on their effects on public health is limited and inconclusive in China.I...Increases in ambient temperatures and the frequency of extreme heat events constitute important burdens on global public health.However,evidence on their effects on public health is limited and inconclusive in China.In this study,data on daily deaths recorded in 33 Chinese cities from 2007 to 2013 was used to evaluate the effect of heat on mortality in China.In addition to the definition of a heatwave established by the China Meteorological Administration,we combined four city-specific relative thresholds(90th,92.5th,95th,and 97.5th percentiles)of the daily mean temperature during the study period and three durations of≽2,≽3,and≽4 days,from which 13 heatwave definitions were developed.Then,we estimated the main and added effects of heat at the city level using a quasi-Poisson generalized additive model combined with a distributed lag nonlinear model.Next,the estimates for the effects were pooled at the national level using a multivariable meta-analysis.Subgroup analysis was performed according to sex,age,educational attainment,and spatially stratified heterogeneity.The results showed that the mortality risk increased from 22.3%to 37.1%due to the effects of the different heatwave definitions.The added effects were much lower,with the highest increase of 3.9%(95%CI:1.7%–6.1%)in mortality risk.Females,the elderly,populations with low educational levels,and populations living inland in China were found to be the most vulnerable to the detrimental effects of heat.These findings have important implications for the improvement of early warning systems for heatwaves.展开更多
What is already known about this topic?Foodborne diseases present a significant public health concern,particularly in China,where they represent a significant food safety challenge.Currently,there is a need for a thor...What is already known about this topic?Foodborne diseases present a significant public health concern,particularly in China,where they represent a significant food safety challenge.Currently,there is a need for a thorough and systematic analysis of the extended epidemiological patterns of foodborne diseases in Beijing Municipality.What is added by this report?Monitoring results show that Norovirus and diarrheagenic Escherichia coli(DEC)are the most commonly identified foodborne diarrheal pathogens.Individuals aged 19–30 are at a higher risk of foodborne diarrhea in Beijing,with Salmonella infection being associated with fever symptoms.What are the implications for public health practice?This study analyzes 11 years of consecutive monitoring data to enhance understanding of the epidemiological and clinical features of foodborne diarrhea in Beijing.It aims to identify high-risk populations,assist in clinical pathogen identification and treatment,and support the development of tailored preventive strategies.展开更多
The evidence for the effects of environmental factors on COVID-19 case fatality remains controversial,and it is crucial to understand the role of preventable environmental factors in driving COVID-19 fatality.We thus ...The evidence for the effects of environmental factors on COVID-19 case fatality remains controversial,and it is crucial to understand the role of preventable environmental factors in driving COVID-19 fatality.We thus conducted a nationwide cohort study to estimate the effects of environmental factors(temperature,particulate matter[PM2.5,PM10],sulfur dioxide[SO2],nitrogen dioxide[NO2],and ozone[O3])on COVID-19 case fatality.A total of 71,808 confirmed COVID-19 cases were identified and followed up for their vital status through April 25,2020.Exposures to ambient air pollution and temperature were estimated by linking the city-and county-level monitoring data to the residential community of each participant.For each participant,two windows were defined:the period from symptom onset to diagnosis(exposure window I)and the period from diagnosis date to date of death/recovery or end of the study period(exposure window II).Cox proportional hazards models were used to estimate the associations between these environmental factors and COVID-19 case fatality.COVID-19 case fatality increased in association with environmental factors for the two exposure windows.For example,each 10 mg/m^(3) increase in PM2.5,PM10,O3,and NO2 in window I was associated with a hazard ratio of 1.11(95%CI 1.09,1.13),1.10(95%CI 1.08,1.13),1.09(95 CI 1.03,1.14),and 1.27(95%CI 1.19,1.35)for COVID-19 fatality,respectively.A significant effect was also observed for low temperature,with a hazard ratio of 1.03(95%CI 1.01,1.04)for COVID-19 case fatality per 1C decrease.Subgroup analysis indicated that these effects were stronger in the elderly,as well as in those with mild symptoms and living in Wuhan or Hubei.Overall,the sensitivity analyses also yielded consistent estimates.Short-term exposure to ambient air pollution and low temperature during the illness would play a nonnegligible part in causing case fatality due to COVID-19.Reduced exposures to high concentrations of PM2.5,PM10,O3,SO2,and NO2 and low temperature would help improve the prognosis and reduce public health burden.展开更多
基金supported by the Consultancy Project by the Chinese Academy of Engineering(2023-JB-12)(QL)the Comprehensive Innovation Capability Support of Intelligent Tracking and Forecasting for Infectious Diseases(Grant number:102393240020020000004)+2 种基金the Major Program of National Natural Science Foundation of China(Grant number:32090023)supported by China Scholarship Council funds(Numbers 202308320381,202006380055,202008110182 and 201906320051)supported by Monash Graduate Scholarship and Monash International Tuition Scholarship.
文摘Background Hemorrhagic fever with renal syndrome(HFRS)is a climate-sensitive zoonotic disease that poses a significant public health burden worldwide.While previous studies have established associations between meteorological factors and HFRS incidence,there remains a critical knowledge gap regarding the heterogeneity of these effects across diverse epidemic regions.Addressing this gap is essential for developing region-specific prevention and control strategies.This study conducted a national investigation to examine the associations between meteorological factors and HFRS in three distinct epidemic regions.Methods We collected daily meteorological data(temperature and relative humidity)and HFRS incidence cases of 285 cities in China from the Resource and Environment Science and Data Center and the Chinese National Notifiable Infectious Disease Reporting Information System from 2005-2022.Study locations were stratified into three distinct epidemic categories(Rattus-dominant,Apodemus-dominant,and mixed)based on the seasonality of peak incidence.The associations between meteorological variables and HFRS incidence were investigated using a timestratified case-crossover design combined with distributed lag nonlinear modeling for each epidemic category.Results The exposure-response relationships between meteorological factors and HFRS incidence revealed significant heterogeneity across epidemic regions,as evidenced by Cochran’s Q test for temperature(Q=324.40,P<0.01)and relative humidity(Q=30.57,P<0.01).The optimal daily average temperature for HFRS transmission in Rattusdominant epidemic regions(-6.6℃),characterized by spring epidemics,was lower than that observed in Apodemusdominant epidemic regions(13.7℃),where primary cases occurred during autumn and winter months.Furthermore,the association between relative humidity and HFRS incidence exhibited as a monotonic negative correlation in Rattus-dominant regions,while Apodemus-dominant regions showed a nonlinear,inverted U-shaped association.Conclusions This study highlights the heterogeneous effects of meteorological factors on HFRS incidence across different epidemic regions.Targeted preventive measures should be taken during cold and dry spring days in Rattusdominant regions,and during warm and moderately humid winter days in Apodemus-dominant regions.In mixed epidemic regions,both scenarios require attention.These findings provide novel scientific evidence for the formulation and implementation of region-specific HFRS prevention policies.
基金the Wellcome Trust(No.209387/Z/17/Z)Funding was also provided by the Cultivation Fund of Beijing Center for Disease Prevention and Control,the Beijing Research Center for Preventive Medicine(No.2020-BJYJ-10)+1 种基金the National Natural Science Foundation of China(No.82003552)the Guangdong Basic and Applied Basic Research Foundation(No.2020A1515011161)。
文摘Increases in ambient temperatures and the frequency of extreme heat events constitute important burdens on global public health.However,evidence on their effects on public health is limited and inconclusive in China.In this study,data on daily deaths recorded in 33 Chinese cities from 2007 to 2013 was used to evaluate the effect of heat on mortality in China.In addition to the definition of a heatwave established by the China Meteorological Administration,we combined four city-specific relative thresholds(90th,92.5th,95th,and 97.5th percentiles)of the daily mean temperature during the study period and three durations of≽2,≽3,and≽4 days,from which 13 heatwave definitions were developed.Then,we estimated the main and added effects of heat at the city level using a quasi-Poisson generalized additive model combined with a distributed lag nonlinear model.Next,the estimates for the effects were pooled at the national level using a multivariable meta-analysis.Subgroup analysis was performed according to sex,age,educational attainment,and spatially stratified heterogeneity.The results showed that the mortality risk increased from 22.3%to 37.1%due to the effects of the different heatwave definitions.The added effects were much lower,with the highest increase of 3.9%(95%CI:1.7%–6.1%)in mortality risk.Females,the elderly,populations with low educational levels,and populations living inland in China were found to be the most vulnerable to the detrimental effects of heat.These findings have important implications for the improvement of early warning systems for heatwaves.
基金All members from the participating CDCs for their contributions.
文摘What is already known about this topic?Foodborne diseases present a significant public health concern,particularly in China,where they represent a significant food safety challenge.Currently,there is a need for a thorough and systematic analysis of the extended epidemiological patterns of foodborne diseases in Beijing Municipality.What is added by this report?Monitoring results show that Norovirus and diarrheagenic Escherichia coli(DEC)are the most commonly identified foodborne diarrheal pathogens.Individuals aged 19–30 are at a higher risk of foodborne diarrhea in Beijing,with Salmonella infection being associated with fever symptoms.What are the implications for public health practice?This study analyzes 11 years of consecutive monitoring data to enhance understanding of the epidemiological and clinical features of foodborne diarrhea in Beijing.It aims to identify high-risk populations,assist in clinical pathogen identification and treatment,and support the development of tailored preventive strategies.
基金This study was supported by the National Natural Science Foundation of China(82041021 and 42041001)the Bill&Melinda Gates Foundation(INV-006371)the General Program of the State Key Laboratory of Infectious Disease Prevention and Control of China(2020SKLID201).
文摘The evidence for the effects of environmental factors on COVID-19 case fatality remains controversial,and it is crucial to understand the role of preventable environmental factors in driving COVID-19 fatality.We thus conducted a nationwide cohort study to estimate the effects of environmental factors(temperature,particulate matter[PM2.5,PM10],sulfur dioxide[SO2],nitrogen dioxide[NO2],and ozone[O3])on COVID-19 case fatality.A total of 71,808 confirmed COVID-19 cases were identified and followed up for their vital status through April 25,2020.Exposures to ambient air pollution and temperature were estimated by linking the city-and county-level monitoring data to the residential community of each participant.For each participant,two windows were defined:the period from symptom onset to diagnosis(exposure window I)and the period from diagnosis date to date of death/recovery or end of the study period(exposure window II).Cox proportional hazards models were used to estimate the associations between these environmental factors and COVID-19 case fatality.COVID-19 case fatality increased in association with environmental factors for the two exposure windows.For example,each 10 mg/m^(3) increase in PM2.5,PM10,O3,and NO2 in window I was associated with a hazard ratio of 1.11(95%CI 1.09,1.13),1.10(95%CI 1.08,1.13),1.09(95 CI 1.03,1.14),and 1.27(95%CI 1.19,1.35)for COVID-19 fatality,respectively.A significant effect was also observed for low temperature,with a hazard ratio of 1.03(95%CI 1.01,1.04)for COVID-19 case fatality per 1C decrease.Subgroup analysis indicated that these effects were stronger in the elderly,as well as in those with mild symptoms and living in Wuhan or Hubei.Overall,the sensitivity analyses also yielded consistent estimates.Short-term exposure to ambient air pollution and low temperature during the illness would play a nonnegligible part in causing case fatality due to COVID-19.Reduced exposures to high concentrations of PM2.5,PM10,O3,SO2,and NO2 and low temperature would help improve the prognosis and reduce public health burden.
