BACKGROUND The novel human coronavirus disease 2019(COVID-19)pandemic has claimed more than 600,000 lives worldwide,causing tremendous public health,social,and economic damages.Although the risk factors of COVID-19 ar...BACKGROUND The novel human coronavirus disease 2019(COVID-19)pandemic has claimed more than 600,000 lives worldwide,causing tremendous public health,social,and economic damages.Although the risk factors of COVID-19 are still under investigation,environmental factors,such as urban air pollution,may play an important role in increasing population susceptibility to COVID-19 pathogenesis.METHODS We conducted a cross-sectional nationwide study using zero-inflated negative binomial models to estimate the association between longterm(2010–2016)county-level exposures to NO2,PM2.5,and O3 and county-level COVID-19 case-fatality and mortality rates in the United States.We used both single-and multi-pollutant models and controlled for spatial trends and a comprehensive set of potential confounders,including state-level test positive rate,county-level health care capacity,phase of epidemic,population mobility,population density,sociodemographics,socioeconomic status,race and ethnicity,behavioral risk factors,and meteorology.RESULTS From January 22,2020,to July 17,2020,3,659,828 COVID-19 cases and 138,552 deaths were reported in 3,076 US counties,with an overall observed case-fatality rate of 3.8%.County-level average NO2 concentrations were positively associated with both COVID-19 case-fatality rate and mortality rate in single-,bi-,and tri-pollutant models.When adjusted for co-pollutants,per interquartile-range(IQR)increase in NO2(4.6 ppb),COVID-19 case-fatality rate and mortality rate were associated with an increase of 11.3%(95%CI 4.9%–18.2%)and 16.2%(95%CI 8.7%–24.0%),respectively.We did not observe significant associations between COVID-19 case-fatality rate and long-term exposure to PM2.5 or O3,although per IQR increase in PM2.5(2.6 mg/m3)was marginally associated,with a 14.9%(95%CI 0.0%–31.9%)increase in COVID-19 mortality rate when adjusted for co-pollutants.DISCUSSION Long-term exposure to NO2,which largely arises from urban combustion sources such as traffic,may enhance susceptibility to severe COVID-19 outcomes,independent of long-termPM2.5 and O3 exposure.The results support targeted public health actions to protect residents from COVID-19 in heavily polluted regions with historically high NO2 levels.Continuation of current efforts to lower traffic emissions and ambient air pollution may be an important component of reducing population-level risk of COVID-19 case fatality and mortality.展开更多
Studies have investigated the effects of heat and temperature variability(TV)on mortality.However,few assessed whether TV modifies the heat-mortality association.Data on daily temperature and mortality in the warm sea...Studies have investigated the effects of heat and temperature variability(TV)on mortality.However,few assessed whether TV modifies the heat-mortality association.Data on daily temperature and mortality in the warm season were collected from 717 locations across 36 countries.TV was calculated as the standard deviation of the average of the same and previous days’minimum and maximum temperatures.展开更多
基金supported by the Emory HERCULES Exposome Research Center through the National Institute of Environmental Health Sciences(grant P30ES019776)support provided by the National Science Foundation(award BCS-2027375)。
文摘BACKGROUND The novel human coronavirus disease 2019(COVID-19)pandemic has claimed more than 600,000 lives worldwide,causing tremendous public health,social,and economic damages.Although the risk factors of COVID-19 are still under investigation,environmental factors,such as urban air pollution,may play an important role in increasing population susceptibility to COVID-19 pathogenesis.METHODS We conducted a cross-sectional nationwide study using zero-inflated negative binomial models to estimate the association between longterm(2010–2016)county-level exposures to NO2,PM2.5,and O3 and county-level COVID-19 case-fatality and mortality rates in the United States.We used both single-and multi-pollutant models and controlled for spatial trends and a comprehensive set of potential confounders,including state-level test positive rate,county-level health care capacity,phase of epidemic,population mobility,population density,sociodemographics,socioeconomic status,race and ethnicity,behavioral risk factors,and meteorology.RESULTS From January 22,2020,to July 17,2020,3,659,828 COVID-19 cases and 138,552 deaths were reported in 3,076 US counties,with an overall observed case-fatality rate of 3.8%.County-level average NO2 concentrations were positively associated with both COVID-19 case-fatality rate and mortality rate in single-,bi-,and tri-pollutant models.When adjusted for co-pollutants,per interquartile-range(IQR)increase in NO2(4.6 ppb),COVID-19 case-fatality rate and mortality rate were associated with an increase of 11.3%(95%CI 4.9%–18.2%)and 16.2%(95%CI 8.7%–24.0%),respectively.We did not observe significant associations between COVID-19 case-fatality rate and long-term exposure to PM2.5 or O3,although per IQR increase in PM2.5(2.6 mg/m3)was marginally associated,with a 14.9%(95%CI 0.0%–31.9%)increase in COVID-19 mortality rate when adjusted for co-pollutants.DISCUSSION Long-term exposure to NO2,which largely arises from urban combustion sources such as traffic,may enhance susceptibility to severe COVID-19 outcomes,independent of long-termPM2.5 and O3 exposure.The results support targeted public health actions to protect residents from COVID-19 in heavily polluted regions with historically high NO2 levels.Continuation of current efforts to lower traffic emissions and ambient air pollution may be an important component of reducing population-level risk of COVID-19 case fatality and mortality.
基金This study was supported by the Australian Research Council(DP210102076)the Australian National Health and Medical Research Council(APP2000581)+12 种基金Y.W and B.W.were supported by the China Scholarship Council(nos.202006010044 and 202006010043)S.L.was supported by an Emerging Leader Fellowship of the Australian National Health and Medical Research Council(no.APP2009866)Y.G.was supported by Career Development Fellowship(no.APP1163693)and Leader Fellowship(no.APP2008813)of the Australian National Health and Medical Research CouncilJ.K.and A.U.were supported by the Czech Science Foundation(project no.20-28560S)N.S.was supported by the National Institute of Environmental Health Sciences-funded HERCULES Center(no.P30ES019776)Y.H.was supported by the Environment Research and Technology Development Fund(JPMEERF15S11412)of the Environmental Restoration and Conservation AgencyM.d.S.Z.S.C.and P.H.N.S.were supported by the São Paulo Research Foundation(FAPESP)H.O.and E.I.were supported by the Estonian Ministry of Education and Research(IUT34-17)J.M.was supported by a fellowship of Fundação para a Ciência e a Tecnlogia(SFRH/BPD/115112/2016)A.G.and F.S.were supported by the Medical Research Council UK(grant ID MR/R013349/1),the Natural Environment Research Council UK(grant ID NE/R009384/1),and the EU’s Horizon 2020 project,Exhaustion(grant ID 820655)A.S.and F.d.D.were supported by the EU’s Horizon 2020 project,Exhaustion(grant ID 820655)V.H.was supported by the Spanish Ministry of Economy,Industry and Competitiveness(grant ID PCIN-2017-046)A.T.byMCIN/AEI/10.13039/501100011033(grant CEX2018-000794-S).Statistics South Africa kindly provided the mortality data,but had no other role in the study.
文摘Studies have investigated the effects of heat and temperature variability(TV)on mortality.However,few assessed whether TV modifies the heat-mortality association.Data on daily temperature and mortality in the warm season were collected from 717 locations across 36 countries.TV was calculated as the standard deviation of the average of the same and previous days’minimum and maximum temperatures.