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Total and cause-specific mortality attributable to cold spells in China:A multicity and multicounty study

Advances in Climate Change Research 2023年第6期14卷 827-835页

作者： He-Jia SONG Yi-Bin CHENG Yu WANG Yu-Shu HUANG Yan WANG Xue-Mei SU Shilu TONG Yong-Hong LI Xiao-Yuan YAO National Institute of Environmental Health Chinese Center for Disease Control and PreventionBeijing 100021China School of Public Health Institute of Environment and Population HealthAnhui Medical UniversityHefei 230032China Center for Global Health School of Public HealthNanjing Medical UniversityNanjing 211166China School of Public Health and Social Work Queensland University of TechnologyBrisbane 4000Australia Daxing Center for Disease Control and Prevention Beijing 102600China Department of Infectious Diseases Control and Prevention Jiaxing Center for Disease Control and PreventionJiaxing 314050China

Climate change has resulted in an increase in the frequency and intensity of extreme cold weather events,but few multicity or multicounty researches have explored the association between cold spells and mortality risk and *** collected daily data on climate,sociodemo-graphic factors and mortality in 18 cities/counties across 11 geographical regions for the period of November to March 2014-2018.A distributed lag nonlinear model was used to examine the association between cold spells and mortality after adjustment for confounding *** definitions of cold spells were ***-meta regression analysis was applied to pool the impacts over different *** spells were significantly associated with all-cause mortality at lag 0-21(CRR:1.38,95%CI:1.21,1.57).In addition to respiratory diseases and cir-culatory system diseases,digestive,endocrine and nervous system diseases and injury were also affected by cold *** magnitude of the impacts of cold spells on mortality varied among the diseases investigated,with the highest risk estimate found for influenza and pneumonia(CRR:2.00,95%CI:1.45,2.76)and the lowest estimate found for injury(CRR:1.26,95%CI:1.09,1.46).The fraction of all-cause mortality attributable to cold spells was 2.31%(95%CI:0.90%,3.46%).Among the regional differences,the attributable burden of all-cause mortality was higher in rural areas and subtropical monsoon climate zone,with attributable fractions of 2.85%(95%CI:1.23%,4.11%)and 3.36%(95%CI:0.55%,5.35%),*** spells increased mortality from a range of ***,older adults and residents of rural areas and subtropical monsoon climate zone were more vulnerable to cold spells *** findings may help to formulate preventive strategies and early warning response plans to reduce mortality burden of extreme cold events.

关键词： Cold spells distributed lag nonlinear model Attributable fraction Mortality burden Sensitive diseases

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Spatiotemporal Distribution and Epidemiological Characteristics of Hospital Admissions for Carbon Monoxide Poisoning in Guangdong,China,2013-2020

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Biomedical and Environmental Sciences 2022年第10期35卷 943-953页

作者： XIAO Bin ZHANG You Miao ZHOU Jing XU Cheng Dong HU Wei WEN Wei CHEN Jia Bin SUN Cheng Ye National Institute for Occupational Health and Poison Control Chinese Center for Disease Control and PreventionBeijing 100050China Guangdong Province Hospital for Occupational Disease Prevention and Treatment Guangdong Provincial Key Laboratory of Occupational Disease Prevention and TreatmentGuangzhou 510300GuangdongChina School of Public Health Sun Yat-sen UniversityGuangzhou 510030GuangdongChina State Key Laboratory of Resources and Environmental Information System Institute of Geographic Science and Natural Resource ResearchChinese Academy of SciencesBeijing 100101China University of Chinese Academy of Sciences Beijing 100101China Commission Affairs Center of Health Commission of Guangdong Province Guangzhou 510060GuangdongChina

Objective This study aimed to determine the spatiotemporal distribution and epidemiological characteristics of hospital admissions for carbon monoxide poisoning(COP)in Guangdong,China,from 2013 to *** Data on age-and sex-specific numbers of hospital admissions due to COP in Guangdong(2013-2020)were *** temperatures were downloaded through the China Meteorological Data Sharing Service *** analyzed temporal trends through time series decomposition and used spatial autocorrelation analysis to detect spatial *** distributed lag nonlinear model was used to quantify the effects of *** There were 48,854 COP admissions over the study *** sex ratio(male to female)was1:*** concentration ratios(M)ranged from *** highest risk occurred in January(season index=3.59).Most cases were concentrated in the northern mountainous areas of Guangdong with high-high *** in the study region showed significant spatial autocorrelation,and the global Moran’s I value of average annual hospital admission rates for COP was 0.447(Plag lasting 7 *** a lag of 0 days,the effects of low temperatures[5th(12℃)]on COP were 2.24-3.81,as compared with the reference temperature[median(24℃)].Conclusion COP in Guangdong province showed significant temporal and spatial *** temperature was associated with a high risk of COP,and the influence had a lag lasting 7 days.

关键词： Carbon monoxide poisoning Hospitalization distributed lag nonlinear model Spatialtemporal model

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Short-term effects of low-level PM_(2.5),PM_(10),O_(3),and tropical meteorological conditions on emergency department visits for respiratory diseases in Haikou,China

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Asian Pacific Journal of Tropical Medicine 2024年第7期17卷 317-328,I0010,I0011页

作者： Jichao Peng Jun Chen Xinxin Wu Jin Qian Nan Li Yang Yi Yue Huang Juncai Lu Wenxing Zhang Zhengyu Li Zhao Li Min Li Xiaoran Liu School of Public Health Hainan Medical UniversityHaikou 571199China Danzhou People's Hospital Danzhou 571799China The Second Affiliated Hospital of Hainan Medical University Haikou 570105China The First Affiliated Hospital of Hainan Medical University Haikou 570102China Emergency and Trauma College Hainan Medical UniversityKey Laboratory of Emergency and Trauma of Ministry of EducationHaikou 571199China Hainan General Hospital Affiliated to Hainan Medical University Haikou 570311China

Objective:To assess the correlation between atmospheric pollutants,meteorological factors,and emergency department visits for respiratory diseases in Haikou ***:Daily data on atmospheric pollutants,meteorological factors,and emergency department visits for respiratory diseases in Haikou City from 2018 to 2021 were *** Spearman rank correlation test was used to analyze the correlation,and a distributed lag non-linear model was employed to analyze the health effects and lag impacts of environmental *** analyses were conducted based on sex and ***:According to the criteria of International Classification of Diseases(ICD-10:J00-J99),a total of 221913 cases were included,accounting for 21.3%of the total emergency department visits in Haikou *** every 1℃increase in temperature,the risk of emergency department visits increased by 1.029%(95%CI 1.016%-1.042%).Relative humidity greater than 80%reduced the risk of visits,while higher atmospheric pressure(>1010 hpa)also decreased the likelihood of daily emergency department *** concentrations of PM_(2.5)(30-50μg/m^(3)),PM10(>60μg/m^(3)),and O_(3)(75-125μg/m^(3))were associated with increased *** temperatures(>25℃)have a greater impact on females and children aged 0-14 years,while males are more sensitive to low atmospheric *** aged 65 and above exhibited increased sensitivity to O_(3)concentration,and the effects of PM2.5,PM10,and O_(3)are more pronounced in individuals over 14 years ***:Short-term exposure to high temperatures,particulate matter pollutants(PM_(2.5)and PM_(10)),and ozone(O_(3))is associated with increased emergency department visits for respiratory diseases.

关键词： distributed lag nonlinear model Meteorological factors Air pollution Emergency department visits Respiratory diseases

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Ambient Temperature and Years of Life Lost:A National Study in China

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The Innovation 2021年第1期2卷 3-10页

作者： Tao Liu Chunliang Zhou Haoming Zhang Biao Huang Yanjun Xu Lifeng Lin Lijun Wang Ruying Hu Zhulin Hou Yize Xiao Junhua Li Xiaojun Xu Donghui Jin Mingfang Qin Qinglong Zhao Weiwei Gong Peng Yin Yiqing Xu Jianxiong Hu Jianpeng Xiao Weilin Zeng Xing Li Siqi Chen Lingchuan Guo Zuhua Rong Yonghui Zhang Cunrui Huang Yaodong Du Yuming Guo Shannon Rutherford Min Yu Maigeng Zhou Wenjun Ma Guangdong Provincial Institute of Public Health Guangdong Provincial Center for Disease Control and PreventionGuangzhou511430China Hunan Provincial Center for Disease Control and Prevention Changsha410005China Yunnan Center for Disease Control and Prevention Kunming650022China Health Hazard Factors Control Department Jilin Provincial Center for Disease Control and PreventionChangchun130062China Guangdong Provincial Center for Disease Control and Prevention Guangzhou511430China The National Center for Chronic and Noncommunicable Disease Control and Prevention Beijing100050China Zhejiang Center for Disease Control and Prevention Hangzhou310051China School of Public Health Sun Yat-sen UniversityGuangzhou510080China Guangdong Provincial Climate Center Guangzhou510080China Department of Epidemiology and Preventive Medicine School of Public Health and Preventive MedicineMonash UniversityMelbourne3800Australia School of Medicine Griffith UniversityGold Coast4214Australia

Although numerous studies have investigated premature deaths attributable to temperature,effects of temperature on years of life lost(YLL)remain *** estimated the relationship between temperatures and YLL,and quantified the YLL per death caused by temperature in *** collected daily meteorological and mortality data,and calculated the daily YLL values for 364 locations(2013–2017 in Yunnan,Guangdong,Hunan,Zhejiang,and Jilin provinces,and 2006–2011 in other locations)in China.A time-series design with a distributed lag nonlinear model was first employed to estimate the location-specific associations between temperature and YLL rates(YLL/100,000 population),and a multivariate meta-analysis model was used to pool location-specific ***,YLL per death caused by temperatures was *** temperature and YLL rates consistently showed U-shaped associations.A mean of 1.02(95%confidence interval:0.67,1.37)YLL per death was attributable to *** temperature caused 0.98 YLL per death with most from moderate cold(0.84).The mean YLL per death was higher in those with cardiovascular diseases(1.14),males(1.15),younger age categories(1.31 in people aged 65–74 years),and in central China(1.34)than in those with respiratory diseases(0.47),females(0.87),older people(0.85 in people R75 years old),and northern China(0.64)or southern China(1.19).The mortality burden was modified by annual temperature and temperature variability,relative humidity,latitude,longitude,altitude,education attainment,and central heating *** caused substantial YLL per death in China,which was modified by demographic and regional characteristics.

关键词： TEMPERATURE YEARS OF LIFE LOST MORTALITY BURDEN distributed lag nonlinear model MULTIVARIATE META-ANALYSIS CHINA

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An exploration of the relationship between wastewater viral signals and COVID-19 hospitalizations in Ottawa,Canada

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Infectious Disease modelling 2023年第3期8卷 617-631页

作者： K.Ken Peng Elizabeth M.Renouf Charmaine B.Dean X.Joan Hu Robert Delatolla Douglas G.Manuel Department of Statistics and Actuarial Science Simon Fraser University8888 University DrBurnabyV5A 1S6BCCanada Department of Statistics and Actuarial Science University of Waterloo200 University Ave WWaterlooN2L 3G1ONCanada Department of Civil Engineering University of Ottawa75 Laurier Ave.EOttawaK1N 6N5ONCanada The Ottawa Hospital Research Institute 1053 Carling AveOttawaK1Y 4E9ONCanada Department of Family Medicine University of Ottawa75 Laurier Ave.EOttawaK1N 6N5ONCanada School of Epidemiology and Public Health University of Ottawa75 Laurier Ave.EOttawaK1N 6N5ONCanada

Monitoring of viral signal in wastewater is considered a useful tool for monitoring the burden of COVID-19,especially during times of limited availability in *** have shown that COVID-19 hospitalizations are highly correlated with wastewater viral signals and the increases in wastewater viral signals can provide an early warning for increasing hospital *** association is likely nonlinear and *** project employs a distributed lag nonlinear model(DLNM)(Gasparrini et al.,2010)to study the nonlinear exposure-response delayed association of the COVID-19 hospitalizations and SARS-CoV-2 wastewater viral signals using relevant data from Ottawa,*** consider up to a 15-day time lag from the average of SARS-CoV N1 and N2 gene concen-trations to COVID-19 *** expected reduction in hospitalization is adjusted for vaccination efforts.A correlation analysis of the data verifies that COVID-19 hospital-izations are highly correlated with wastewater viral signals with a time-varying *** DLNM based analysis yields a reasonable estimate of COVID-19 hospitalizations and enhances our understanding of the association of COVID-19 hospi-talizations with wastewater viral signals.

关键词： Wastewater surveillance COVID-19 vaccination effectiveness distributed lag nonlinear model Time varying correlation

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