ArticlePloS one2022
Does climate help modeling COVID-19 risk and to what extent?
Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
4 citing papers in PubMed.
- Involvement of the secosteroid vitamin D in autoimmune rheumatic diseases and COVID-19.Nature reviews. Rheumatology · 2023Review
- An ecological association of number of civil servants and physicians with prefectural-level rapid COVID-19 vaccination of older people in Japan.Environmental health and preventive medicine · 2023Article
- There is a need for more precise models to assess the determinants of health crises like COVID-19.Frontiers in public health · 2023Article
- Effects of environmental conditions on COVID-19 morbidity as an example of multicausality: a multi-city case study in Italy.Frontiers in public health · 2023Article
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A growing number of studies suggest that climate may impact the spread of COVID-19. This hypothesis is supported by data from similar viral contagions, such as SARS and the 1918 Flu Pandemic, and corroborated by US influenza data. However, the extent to which climate may affect COVID-19 transmission rates and help modeling COVID-19 risk is still not well understood. This study demonstrates that such an understanding is attainable through the development of regression models that verify how climate contributes to modeling COVID-19 transmission, and the use of feature importance techniques that assess the relative weight of meteorological variables compared to epidemiological, socioeconomic, environmental, and global health factors. The ensuing results show that meteorological factors play a key role in regression models of COVID-19 risk, with ultraviolet radiation (UV) as the main driver. These results are corroborated by statistical correlation analyses and a panel data fixed-effect model confirming that UV radiation coefficients are significantly negatively correlated with COVID-19 transmission rates.
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Registered trials
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