The joint impact of temperature, humidity, and air pollution on COVID-19 incidence: a multi-country time-series study in 439 cities.

Several studies have explored the short-term effects of environmental stressors on coronavirus disease 2019 (COVID-19) transmission and severity. However, evidence on the interactive effects of meteorological conditions and air pollution remains limited and geographically variable. We therefore aimed to quantify the independent and interactive effects of short-term exposure to humidex, a composite index of temperature and relative humidity, and fine particulate matter ≤ 2.5 μm (PM2.5) on daily COVID-19 incidence across multiple cities and in multiple countries. Daily time-series data on confirmed COVID-19 cases, meteorological factors, and PM2.5 concentrations were collected from 439 cities in 22 countries during January 2020-August 2022 as part of the Multi-Country Multi-City Collaborative Research Network. A two-stage design was applied: first, city-specific quasi-Poisson models with distributed lag non-linear models estimated exposure-response associations; second, multilevel random-effects meta-analyses pooled city-specific estimates. Effect modification by PM2.5 was assessed using a product term between non-linear humidex function and linear PM2.5 function. Approximately 95.1 million confirmed COVID-19 cases were analyzed. Lower humidex values (0.1 °C versus 15.1 °C) were associated with increased daily cases (relative risk [RR]: 1.1192, 95% confidence interval [CI]: 1.0214-1.2262). A 10 μg/m3increase in PM2.5 over the current and preceding 2 days was associated with a modest increase in daily cases (RR: 1.0079, 95% CI: 1.0001-1.0161). No statistically significant interaction between humidex and PM2.5 was observed. Short-term exposure to cold-dry conditions and elevated PM2.5 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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Open Access CRIS of the University of Bern
Published
2026-02-01
DOI
https://doi.org/10.48620/94434
Primary Topic
COVID-19 impact on air quality
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article
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article

The joint impact of temperature, humidity, and air pollution on COVID-19 incidence: a multi-country time-series study in 439 cities.

Malcolm Mistry, Fiorella Acquaotta, Jan Kynčl, Keita Wagatsuma et al.
Open Access CRIS of the University of Bern
COVID-19 impact on air quality
article

The joint impact of temperature, humidity, and air pollution on COVID-19 incidence: a multi-country time-series study in 439 cities.

Malcolm Mistry, Fiorella Acquaotta, Jan Kynčl, Keita Wagatsuma, Barrak Alahmad, Rachel Lowe, Ene Indermitte, Noah Scovronick, Hans Orru, Susanne Breitner-Busch, Denise Feurer, Eric Lavigne, Francesco Sera, Tim Riffe, Aurelio Tobias, Nicolás Valdés Ortega, Iulian Horia Holobâca, Magali Hurtado Diaz, Patricia Matus Correa, Gabriela Carrasco, Masahiro Hashizume, Lina Madaniyazi, Ana Maria Vicedo-Cabrera, Pierre Masselot, Wenhua Yu, Chris Fook Sheng Ng, Xerxes Seposo, Ho Jong Kim, Dominic Royé, Micheline de Sousa Zanotti Stagliorio Coelho, Shilpa Rao, Yuming Guo, Joel Schwartz, Martina S Ragettli, Whanhee Lee, Massimo Stafoggia, Michelle L Bell, Marek Maasikmets, Francesca de'Donato, Antonella Zanobetti, Shilu Tong, Jochem Klompmaker, Enrique Acosta, Paola Michelozzi, Ben Armstrong, Maxi Stella Kniffka, Rongbin Xu, Antonio Gasparrini, Alexandra Schneider, Carmen Íñiguez, Yasushi Honda, Eunice Elizabeth Félix Arellano, Aleš Urban
article en

Abstract

Several studies have explored the short-term effects of environmental stressors on coronavirus disease 2019 (COVID-19) transmission and severity. However, evidence on the interactive effects of meteorological conditions and air pollution remains limited and geographically variable. We therefore aimed to quantify the independent and interactive effects of short-term exposure to humidex, a composite index of temperature and relative humidity, and fine particulate matter ≤ 2.5 μm (PM2.5) on daily COVID-19 incidence across multiple cities and in multiple countries. Daily time-series data on confirmed COVID-19 cases, meteorological factors, and PM2.5 concentrations were collected from 439 cities in 22 countries during January 2020-August 2022 as part of the Multi-Country Multi-City Collaborative Research Network. A two-stage design was applied: first, city-specific quasi-Poisson models with distributed lag non-linear models estimated exposure-response associations; second, multilevel random-effects meta-analyses pooled city-specific estimates. Effect modification by PM2.5 was assessed using a product term between non-linear humidex function and linear PM2.5 function. Approximately 95.1 million confirmed COVID-19 cases were analyzed. Lower humidex values (0.1 °C versus 15.1 °C) were associated with increased daily cases (relative risk [RR]: 1.1192, 95% confidence interval [CI]: 1.0214-1.2262). A 10 μg/m3increase in PM2.5 over the current and preceding 2 days was associated with a modest increase in daily cases (RR: 1.0079, 95% CI: 1.0001-1.0161). No statistically significant interaction between humidex and PM2.5 was observed. Short-term exposure to cold-dry conditions and elevated PM2.5 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.

Open Access CRIS of the University of Bern
Bremer Umweltinstitut (DE)
Climate action
Openalex Percentile: Top 76%
COVID-19 impact on air quality
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