ArticleEnvironmental research2023
The influence of meteorological factors on COVID-19 spread in Italy during the first and second wave.
Article in Environmental research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 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.
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Who cites it
9 citing papers in PubMed, 14 citations in OpenAlex.
- Mitigating indoor risk of airborne infections using COJournal of environmental health science & engineering · 2026Article
- UV Index from ERA5 reanalysis.Scientific reports · 2026Article
- Channel equalization in ultraviolet communication based on LSTM-DNN hybrid model.Scientific reports · 2025Article
- Meteorological factors, population immunity, and COVID-19 incidence: A global multi-city analysis.Environmental epidemiology (Philadelphia, Pa.) · 2024Article
- Article
- Review
- COVID-19 could accelerate the decline in recreational hunting: A natural experiment from Northern Italy.PloS one · 2024Article
- Wastewater-based Epidemiology and SARS-CoV-2: Variant Trends in the Apulia Region (Southern Italy) and Effect of Some Environmental Parameters.Food and environmental virology · 2023Article
- Trends in the COVID-19 Pandemic in Italy during the Summers of 2020 (before Mass Vaccination), 2021 (after Primary Mass Vaccination) and 2022 (after Booster Mass Vaccination): A Real-World Nationwide Study Based on a Population of 58.85 Million People.Pathogens (Basel, Switzerland) · 2023Article
Corrections and comments
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Authors and funding
11 authors at 5 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The relation between meteorological factors and COVID-19 spread remains uncertain, particularly with regard to the role of temperature, relative humidity and solar ultraviolet (UV) radiation. To assess this relation, we investigated disease spread within Italy during 2020. The pandemic had a large and early impact in Italy, and during 2020 the effects of vaccination and viral variants had not yet complicated the dynamics. We used non-linear, spline-based Poisson regression of modeled temperature, UV and relative humidity, adjusting for mobility patterns and additional confounders, to estimate daily rates of COVID-19 new cases, hospital and intensive care unit admissions, and deaths during the two waves of the pandemic in Italy during 2020. We found little association between relative humidity and COVID-19 endpoints in both waves, whereas UV radiation above 40 kJ/m
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Registered trials
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