The joint impact of temperature, humidity, and air pollution on COVID-19 incidence: a multi-country time-series study in 439 cities
independently increased COVID-19 incidence, highlighting the need to consider both thermal environment and air quality when designing climate-resilient public health responses. These findings enhance understanding of how climate-related environmental stressors influence COVID-19 transmission.
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| Formato: | Artículo |
| Lenguaje: | inglés |
| Publicado: |
2026
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| author | Keita Wagatsuma Denise Feurer Wenhua Yu Rongbin Xu Tim Riffe Maxi Stella Kniffka Enrique Acosta Ben Armstrong Malcolm Mistry Rachel Lowe Dominic Royé Masahiro Hashizume Aurelio Tobias Ana Maria Vicedo-Cabrera Lina Madaniyazi Chris Fook Sheng Ng Carmen Melchor Íñiguez Martina S. Ragettli Eric Lavigne Patricia Matus Correa Nicolás Valdés Ortega Jan Kyselý Aleš Urban Hans Orru Ene Indermitte Marek Maasikmets Susanne Breitner-Busch Alexandra Schneider Yasushi Honda Barrak Alahmad Antonella Zanobetti Joel Schwartz Gabriela Carrasco Iulian Horia Holobâca Ho Kim Whanhee Lee Michelle L. Bell Noah Scovronick Fiorella Acquaotta Micheline de Sousa Zanotti Stagliorio Coelho Magali Hurtado Diaz Eunice Elizabeth Félix Arellano Paola Michelozzi Massimo Stafoggia Francesca de’Donato Shilpa Rao Xerxes Seposo Shilu Tong Jochem Klompmaker Yuming Guo Pierre Masselot Antonio Gasparrini Francesco Sera |
| author_browse | Alexandra Schneider Aleš Urban Ana Maria Vicedo-Cabrera Antonella Zanobetti Antonio Gasparrini Aurelio Tobias Barrak Alahmad Ben Armstrong Carmen Melchor Íñiguez Chris Fook Sheng Ng Denise Feurer Dominic Royé Ene Indermitte Enrique Acosta Eric Lavigne Eunice Elizabeth Félix Arellano Fiorella Acquaotta Francesca de’Donato Francesco Sera Gabriela Carrasco Hans Orru Ho Kim Iulian Horia Holobâca Jan Kyselý Jochem Klompmaker Joel Schwartz Keita Wagatsuma Lina Madaniyazi Magali Hurtado Diaz Malcolm Mistry Marek Maasikmets Martina S. Ragettli Masahiro Hashizume Massimo Stafoggia Maxi Stella Kniffka Micheline de Sousa Zanotti Stagliorio Coelho Michelle L. Bell Nicolás Valdés Ortega Noah Scovronick Paola Michelozzi Patricia Matus Correa Pierre Masselot Rachel Lowe Rongbin Xu Shilpa Rao Shilu Tong Susanne Breitner-Busch Tim Riffe Wenhua Yu Whanhee Lee Xerxes Seposo Yasushi Honda Yuming Guo |
| author_facet | Keita Wagatsuma Denise Feurer Wenhua Yu Rongbin Xu Tim Riffe Maxi Stella Kniffka Enrique Acosta Ben Armstrong Malcolm Mistry Rachel Lowe Dominic Royé Masahiro Hashizume Aurelio Tobias Ana Maria Vicedo-Cabrera Lina Madaniyazi Chris Fook Sheng Ng Carmen Melchor Íñiguez Martina S. Ragettli Eric Lavigne Patricia Matus Correa Nicolás Valdés Ortega Jan Kyselý Aleš Urban Hans Orru Ene Indermitte Marek Maasikmets Susanne Breitner-Busch Alexandra Schneider Yasushi Honda Barrak Alahmad Antonella Zanobetti Joel Schwartz Gabriela Carrasco Iulian Horia Holobâca Ho Kim Whanhee Lee Michelle L. Bell Noah Scovronick Fiorella Acquaotta Micheline de Sousa Zanotti Stagliorio Coelho Magali Hurtado Diaz Eunice Elizabeth Félix Arellano Paola Michelozzi Massimo Stafoggia Francesca de’Donato Shilpa Rao Xerxes Seposo Shilu Tong Jochem Klompmaker Yuming Guo Pierre Masselot Antonio Gasparrini Francesco Sera |
| author_sort | Keita Wagatsuma |
| collection | Producción científica |
| description | independently increased COVID-19 incidence, highlighting the need to consider both thermal environment and air quality when designing climate-resilient public health responses. These findings enhance understanding of how climate-related environmental stressors influence COVID-19 transmission. |
| format | Article |
| id | oai:cris.upeu.edu.pe:20.500.15037/1159 |
| institution | UPeU |
| language | English |
| publishDate | 2026 |
| publishDateRange | 2026 |
| publishDateSort | 2026 |
| record_format | dspace |
| spelling | oai:cris.upeu.edu.pe:20.500.15037/11592026-10-30T16:15:17ZThe joint impact of temperature, humidity, and air pollution on COVID-19 incidence: a multi-country time-series study in 439 citiesKeita WagatsumaDenise FeurerWenhua YuRongbin XuTim RiffeMaxi Stella KniffkaEnrique AcostaBen ArmstrongMalcolm MistryRachel LoweDominic RoyéMasahiro HashizumeAurelio TobiasAna Maria Vicedo-CabreraLina MadaniyaziChris Fook Sheng NgCarmen Melchor ÍñiguezMartina S. RagettliEric LavignePatricia Matus CorreaNicolás Valdés OrtegaJan KyselýAleš UrbanHans OrruEne IndermitteMarek MaasikmetsSusanne Breitner-BuschAlexandra SchneiderYasushi HondaBarrak AlahmadAntonella ZanobettiJoel SchwartzGabriela CarrascoIulian Horia HolobâcaHo KimWhanhee LeeMichelle L. BellNoah ScovronickFiorella AcquaottaMicheline de Sousa Zanotti Stagliorio CoelhoMagali Hurtado DiazEunice Elizabeth Félix ArellanoPaola MichelozziMassimo StafoggiaFrancesca de’DonatoShilpa RaoXerxes SeposoShilu TongJochem KlompmakerYuming GuoPierre MasselotAntonio GasparriniFrancesco SeraEnvironmental scienceAir pollutionEnvironmental healthParticulatesAir quality indexLagConfidence intervalEffect modificationRelative riskDistributed lagGeneralized additive modelClimate changeStressorPollutionAir temperatureCoronavirus disease 2019 (COVID-19)Health effectEnvironmental engineeringPublic healthExposure assessmentJoint (building)Cumulative effectsMultilevel modelMeteorologyEnvironmental protectionEnvironmental qualityProduct (mathematics)Risk assessmentRandom effects modelIncidence (geometry)Apparent temperatureGeographyInteractionTransmission (telecommunications)Environmental impact assessmentTerm (time)Air pollutantsAir pollutionParticulatesAir quality indexLagConfidence intervalEffect modificationRelative riskDistributed lagGeneralized additive modelClimate changeCOVID-19 epidemiologyCOVID-19 epidemiologyCOVID-19 epidemiologySARS-CoV-2SARS-CoV-2SARS-CoV-2Air PollutantsAir PollutantsAir Pollutants analysisAir Pollution adverse effectsAir Pollution adverse effectsAir Pollution statistics & numerical dataAir Pollution statistics & numerical dataAir Pollution statistics & numerical dataCities epidemiologyCities epidemiologyCities epidemiologyEnvironmental ExposureHumansHumansHumansHumidityHumidityHumidityTemperatureTemperatureTemperatureIncidenceIncidenceIncidenceParticulate Matter analysisParticulate Matter analysisParticulate Matter analysisPandemicsPhysical Sciences Mathematics Modeling and Simulation COVID-19 epidemiological studiesPhysical Sciences Environmental Science Global and Planetary Change COVID-19 impact on air qualityHealth Sciences Medicine Infectious Diseases COVID-19 Clinical Research Studiesindependently increased COVID-19 incidence, highlighting the need to consider both thermal environment and air quality when designing climate-resilient public health responses. These findings enhance understanding of how climate-related environmental stressors influence COVID-19 transmission.Articlehttps://pubmed.ncbi.nlm.nih.gov/41621133https://doi.org/10.1016/j.envint.2026.11009010.1016/j.envint.2026.110090https://hdl.handle.net/20.500.15037/1159W7125598376enEnvironment International0160-41201873-67502026-01-242026-06-13T09:48:02Z2026-06-13T09:48:02Z |
| spellingShingle | Environmental science Air pollution Environmental health Particulates Air quality index Lag Confidence interval Effect modification Relative risk Distributed lag Generalized additive model Climate change Stressor Pollution Air temperature Coronavirus disease 2019 (COVID-19) Health effect Environmental engineering Public health Exposure assessment Joint (building) Cumulative effects Multilevel model Meteorology Environmental protection Environmental quality Product (mathematics) Risk assessment Random effects model Incidence (geometry) Apparent temperature Geography Interaction Transmission (telecommunications) Environmental impact assessment Term (time) Air pollutants Air pollution Particulates Air quality index Lag Confidence interval Effect modification Relative risk Distributed lag Generalized additive model Climate change COVID-19 epidemiology COVID-19 epidemiology COVID-19 epidemiology SARS-CoV-2 SARS-CoV-2 SARS-CoV-2 Air Pollutants Air Pollutants Air Pollutants analysis Air Pollution adverse effects Air Pollution adverse effects Air Pollution statistics & numerical data Air Pollution statistics & numerical data Air Pollution statistics & numerical data Cities epidemiology Cities epidemiology Cities epidemiology Environmental Exposure Humans Humans Humans Humidity Humidity Humidity Temperature Temperature Temperature Incidence Incidence Incidence Particulate Matter analysis Particulate Matter analysis Particulate Matter analysis Pandemics Physical Sciences Mathematics Modeling and Simulation COVID-19 epidemiological studies Physical Sciences Environmental Science Global and Planetary Change COVID-19 impact on air quality Health Sciences Medicine Infectious Diseases COVID-19 Clinical Research Studies Keita Wagatsuma Denise Feurer Wenhua Yu Rongbin Xu Tim Riffe Maxi Stella Kniffka Enrique Acosta Ben Armstrong Malcolm Mistry Rachel Lowe Dominic Royé Masahiro Hashizume Aurelio Tobias Ana Maria Vicedo-Cabrera Lina Madaniyazi Chris Fook Sheng Ng Carmen Melchor Íñiguez Martina S. Ragettli Eric Lavigne Patricia Matus Correa Nicolás Valdés Ortega Jan Kyselý Aleš Urban Hans Orru Ene Indermitte Marek Maasikmets Susanne Breitner-Busch Alexandra Schneider Yasushi Honda Barrak Alahmad Antonella Zanobetti Joel Schwartz Gabriela Carrasco Iulian Horia Holobâca Ho Kim Whanhee Lee Michelle L. Bell Noah Scovronick Fiorella Acquaotta Micheline de Sousa Zanotti Stagliorio Coelho Magali Hurtado Diaz Eunice Elizabeth Félix Arellano Paola Michelozzi Massimo Stafoggia Francesca de’Donato Shilpa Rao Xerxes Seposo Shilu Tong Jochem Klompmaker Yuming Guo Pierre Masselot Antonio Gasparrini Francesco Sera The joint impact of temperature, humidity, and air pollution on COVID-19 incidence: a multi-country time-series study in 439 cities |
| title | The joint impact of temperature, humidity, and air pollution on COVID-19 incidence: a multi-country time-series study in 439 cities |
| title_full | The joint impact of temperature, humidity, and air pollution on COVID-19 incidence: a multi-country time-series study in 439 cities |
| title_fullStr | The joint impact of temperature, humidity, and air pollution on COVID-19 incidence: a multi-country time-series study in 439 cities |
| title_full_unstemmed | The joint impact of temperature, humidity, and air pollution on COVID-19 incidence: a multi-country time-series study in 439 cities |
| title_short | The joint impact of temperature, humidity, and air pollution on COVID-19 incidence: a multi-country time-series study in 439 cities |
| title_sort | joint impact of temperature humidity and air pollution on covid 19 incidence a multi country time series study in 439 cities |
| topic | Environmental science Air pollution Environmental health Particulates Air quality index Lag Confidence interval Effect modification Relative risk Distributed lag Generalized additive model Climate change Stressor Pollution Air temperature Coronavirus disease 2019 (COVID-19) Health effect Environmental engineering Public health Exposure assessment Joint (building) Cumulative effects Multilevel model Meteorology Environmental protection Environmental quality Product (mathematics) Risk assessment Random effects model Incidence (geometry) Apparent temperature Geography Interaction Transmission (telecommunications) Environmental impact assessment Term (time) Air pollutants Air pollution Particulates Air quality index Lag Confidence interval Effect modification Relative risk Distributed lag Generalized additive model Climate change COVID-19 epidemiology COVID-19 epidemiology COVID-19 epidemiology SARS-CoV-2 SARS-CoV-2 SARS-CoV-2 Air Pollutants Air Pollutants Air Pollutants analysis Air Pollution adverse effects Air Pollution adverse effects Air Pollution statistics & numerical data Air Pollution statistics & numerical data Air Pollution statistics & numerical data Cities epidemiology Cities epidemiology Cities epidemiology Environmental Exposure Humans Humans Humans Humidity Humidity Humidity Temperature Temperature Temperature Incidence Incidence Incidence Particulate Matter analysis Particulate Matter analysis Particulate Matter analysis Pandemics Physical Sciences Mathematics Modeling and Simulation COVID-19 epidemiological studies Physical Sciences Environmental Science Global and Planetary Change COVID-19 impact on air quality Health Sciences Medicine Infectious Diseases COVID-19 Clinical Research Studies |
| topic_facet | Environmental science Air pollution Environmental health Particulates Air quality index Lag Confidence interval Effect modification Relative risk Distributed lag Generalized additive model Climate change Stressor Pollution Air temperature Coronavirus disease 2019 (COVID-19) Health effect Environmental engineering Public health Exposure assessment Joint (building) Cumulative effects Multilevel model Meteorology Environmental protection Environmental quality Product (mathematics) Risk assessment Random effects model Incidence (geometry) Apparent temperature Geography Interaction Transmission (telecommunications) Environmental impact assessment Term (time) Air pollutants Air pollution Particulates Air quality index Lag Confidence interval Effect modification Relative risk Distributed lag Generalized additive model Climate change COVID-19 epidemiology COVID-19 epidemiology COVID-19 epidemiology SARS-CoV-2 SARS-CoV-2 SARS-CoV-2 Air Pollutants Air Pollutants Air Pollutants analysis Air Pollution adverse effects Air Pollution adverse effects Air Pollution statistics & numerical data Air Pollution statistics & numerical data Air Pollution statistics & numerical data Cities epidemiology Cities epidemiology Cities epidemiology Environmental Exposure Humans Humans Humans Humidity Humidity Humidity Temperature Temperature Temperature Incidence Incidence Incidence Particulate Matter analysis Particulate Matter analysis Particulate Matter analysis Pandemics Physical Sciences Mathematics Modeling and Simulation COVID-19 epidemiological studies Physical Sciences Environmental Science Global and Planetary Change COVID-19 impact on air quality Health Sciences Medicine Infectious Diseases COVID-19 Clinical Research Studies |
| url | https://pubmed.ncbi.nlm.nih.gov/41621133 https://doi.org/10.1016/j.envint.2026.110090 https://hdl.handle.net/20.500.15037/1159 |
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