Seasonal variation in SARS-CoV-2 transmission in The Netherlands, 2020–2022: statistical evidence for an inverse association with solar radiation and temperature

In temperate regions, respiratory viruses such as SARS-CoV-2 are better transmitted in winter than in summer. Understanding how the weather is associated with SARS-CoV-2 transmissibility can enhance projections of COVID-19 incidence and improve estimation of the effectiveness of control measures. During the pandemic, transmissibility was tracked by the reproduction number <i>R</i><sub><i>t</i></sub>. This study aims to determine whether information about the daily temperature, absolute humidity and solar radiation improves predictions of <i>R</i><sub>t</sub> in The Netherlands from 2020 to 2022, and to quantify the relationship between <i>R</i><sub><i>t</i></sub> and daily weather data. We conducted a regression analysis, accounting for immunity from vaccination and previous infection, higher transmissibility of new variants and changes in contact behaviour due to control measures. Results show a linear association between log<i>R</i><sub><i>t</i></sub> and daily solar radiation and temperature, indicating a ratio of <i>R</i><sub><i>t</i></sub> in winter versus summer of 1.7 (95% CI, 1.4; 2.1). The possibility that this association arises from unrelated seasonal patterns was dismissed, as weather data from earlier years provided poorer fits with only small effect sizes. This suggests a causal relationship between solar radiation and temperature with SARS-CoV-2 transmissibility, enhancing confidence in using this relationship for short-term predictions and other epidemiological analyses.

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Publication Details

Journal
Journal of The Royal Society Interface
Published
2025-09-01
DOI
https://doi.org/10.1098/rsif.2025.0317
Citations
1
Primary Topic
COVID-19 epidemiological studies
Type
article
Field-Weighted Citation Impact
1.37
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article

Seasonal variation in SARS-CoV-2 transmission in The Netherlands, 2020–2022: statistical evidence for an inverse association with solar radiation and temperature

Jacco Wallinga, Don Klinkenberg, Chantal B. E. M. Reusken, Jantien A. Backer
1 citations
Journal of The Royal Society Interface
COVID-19 epidemiological studies
1.37
article

Seasonal variation in SARS-CoV-2 transmission in The Netherlands, 2020–2022: statistical evidence for an inverse association with solar radiation and temperature

Jacco Wallinga, Don Klinkenberg, Chantal B. E. M. Reusken, Jantien A. Backer
article en
1 citations

Abstract

In temperate regions, respiratory viruses such as SARS-CoV-2 are better transmitted in winter than in summer. Understanding how the weather is associated with SARS-CoV-2 transmissibility can enhance projections of COVID-19 incidence and improve estimation of the effectiveness of control measures. During the pandemic, transmissibility was tracked by the reproduction number <i>R</i><sub><i>t</i></sub>. This study aims to determine whether information about the daily temperature, absolute humidity and solar radiation improves predictions of <i>R</i><sub>t</sub> in The Netherlands from 2020 to 2022, and to quantify the relationship between <i>R</i><sub><i>t</i></sub> and daily weather data. We conducted a regression analysis, accounting for immunity from vaccination and previous infection, higher transmissibility of new variants and changes in contact behaviour due to control measures. Results show a linear association between log<i>R</i><sub><i>t</i></sub> and daily solar radiation and temperature, indicating a ratio of <i>R</i><sub><i>t</i></sub> in winter versus summer of 1.7 (95% CI, 1.4; 2.1). The possibility that this association arises from unrelated seasonal patterns was dismissed, as weather data from earlier years provided poorer fits with only small effect sizes. This suggests a causal relationship between solar radiation and temperature with SARS-CoV-2 transmissibility, enhancing confidence in using this relationship for short-term predictions and other epidemiological analyses.

Journal of The Royal Society InterfaceVol. 22(230)
Leiden University Medical Center (NL), Erasmus MC (NL), National Institute for Public Health and the Environment (NL), Erasmus University Rotterdam (NL)
Openalex Percentile: Top 17%
COVID-19 epidemiological studies
1.37
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