ArticleInternational journal of environmental research and public health2020
A Preliminary Investigation on the Statistical Correlations between SARS-CoV-2 Spread and Local Meteorology.
Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Exposure-lag response of air temperature on COVID-19 incidence in twelve Italian cities: A meta-analysis.Environmental research · 2022Pooled it
- Effects of environmental parameters and their interactions on the spreading of SARS-CoV-2 in North Italy under different social restrictions. A new approach based on multivariate analysis.Environmental research · 2022Article
- Exploring the effects of PMEnvironmental research · 2022Article
- A Descriptive Analysis of the Scientific Literature on Meteorological and Air Quality Factors and COVID-19.GeoHealth · 2021Article
- Structural equation modeling to shed light on the controversial role of climate on the spread of SARS-CoV-2.Scientific reports · 2021Article
- On the usefulness of the bioclimatic correlative models of SARS-CoV-2.Environmental research · 2021Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The statistical correlation between meteorological parameters and the spread of Coronavirus Disease-2019 (COVID-19) was investigated in five provinces of Italy selected according to the number of infected individuals and the different trends of infection in the early stages of the epidemic: Bergamo and Brescia showed some of the highest trends of infections while nearby Cremona and Mantova, showed lower trends. Pesaro-Urbino province was included for further investigation as it was comparably affected by the epidemic despite being the area far from the Po valley. Moving means of the variables were considered to take into account the variability of incubation periods and uncertainties in the epidemiological data. The same analyzes were performed normalizing the number of new daily cases based on the number of checks performed. For each province, the moving mean of adjusted and unadjusted new daily cases were independently plotted versus each meteorological parameter, and linear regressions were determined in the period from 29th of February 2020 to 29th of March 2020. Strong positive correlations were observed between new cases and temperatures within three provinces representing 86.5% of the contagions. Strong negative correlations were observed between the moving means of new cases and relative humidity values for four provinces and more than 90% of the contagions.
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