Meteorological Factors and the Spread of COVID‐19: A Territorial Analysis in Italy
ABSTRACT The COVID‐19 pandemic has generated significant global impacts on health and society, imposing a comprehensive analysis of its influencing factors, including weather variables. This study investigates the interaction between meteorological conditions and the spread of COVID‐19 in three Ital...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2025-03-01
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| Series: | Meteorological Applications |
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| Online Access: | https://doi.org/10.1002/met.70048 |
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| author | Vito Telesca Gianfranco Castronuovo Gianfranco Favia Mariarosaria Marra Marica Rondinone Alessandro Ceppi |
| author_facet | Vito Telesca Gianfranco Castronuovo Gianfranco Favia Mariarosaria Marra Marica Rondinone Alessandro Ceppi |
| author_sort | Vito Telesca |
| collection | DOAJ |
| description | ABSTRACT The COVID‐19 pandemic has generated significant global impacts on health and society, imposing a comprehensive analysis of its influencing factors, including weather variables. This study investigates the interaction between meteorological conditions and the spread of COVID‐19 in three Italian regions: Lombardia, Emilia‐Romagna, and Puglia. Effects of weather variables, such as air temperature, relative humidity, dew point, solar radiation, wind speed, and barometric pressure, are explored in the incidence of disease. Observed meteorological and health data are taken from various sources, such as the citizen‐science Meteonetwork Association and the National Department of Civil Protection, respectively, and they are analyzed with statistical methods and machine learning algorithms. The study emphasizes the necessity of carefully considering key meteorological quantities as primary drivers in illness diffusion and prevention strategies, offering valuable insights to address challenges to the pandemic and ensure the safety of global communities. The results reveal a significant correlation between specific atmospheric variables and the spread of COVID‐19, with dew point temperature as the most influential parameter at low air temperature values. |
| format | Article |
| id | doaj-art-02001f35fb9f48b1951a29eb96158d3c |
| institution | OA Journals |
| issn | 1350-4827 1469-8080 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | Wiley |
| record_format | Article |
| series | Meteorological Applications |
| spelling | doaj-art-02001f35fb9f48b1951a29eb96158d3c2025-08-20T02:24:49ZengWileyMeteorological Applications1350-48271469-80802025-03-01322n/an/a10.1002/met.70048Meteorological Factors and the Spread of COVID‐19: A Territorial Analysis in ItalyVito Telesca0Gianfranco Castronuovo1Gianfranco Favia2Mariarosaria Marra3Marica Rondinone4Alessandro Ceppi5School of Engineering, Università Della Basilicata Potenza ItalySchool of Engineering, Università Della Basilicata Potenza ItalyDepartment of Interdisciplinary Medicine Università di Bari Bari ItalySchool of Engineering, Università Della Basilicata Potenza ItalySchool of Engineering, Università Della Basilicata Potenza ItalyDepartment of Civil and Environmental Engineering (D.I.C.A.) Politecnico di Milano Milano ItalyABSTRACT The COVID‐19 pandemic has generated significant global impacts on health and society, imposing a comprehensive analysis of its influencing factors, including weather variables. This study investigates the interaction between meteorological conditions and the spread of COVID‐19 in three Italian regions: Lombardia, Emilia‐Romagna, and Puglia. Effects of weather variables, such as air temperature, relative humidity, dew point, solar radiation, wind speed, and barometric pressure, are explored in the incidence of disease. Observed meteorological and health data are taken from various sources, such as the citizen‐science Meteonetwork Association and the National Department of Civil Protection, respectively, and they are analyzed with statistical methods and machine learning algorithms. The study emphasizes the necessity of carefully considering key meteorological quantities as primary drivers in illness diffusion and prevention strategies, offering valuable insights to address challenges to the pandemic and ensure the safety of global communities. The results reveal a significant correlation between specific atmospheric variables and the spread of COVID‐19, with dew point temperature as the most influential parameter at low air temperature values.https://doi.org/10.1002/met.70048artificial intelligenceatmospheric moistureCOVID‐19dew point temperaturemachine learning modelsrandom Forest |
| spellingShingle | Vito Telesca Gianfranco Castronuovo Gianfranco Favia Mariarosaria Marra Marica Rondinone Alessandro Ceppi Meteorological Factors and the Spread of COVID‐19: A Territorial Analysis in Italy Meteorological Applications artificial intelligence atmospheric moisture COVID‐19 dew point temperature machine learning models random Forest |
| title | Meteorological Factors and the Spread of COVID‐19: A Territorial Analysis in Italy |
| title_full | Meteorological Factors and the Spread of COVID‐19: A Territorial Analysis in Italy |
| title_fullStr | Meteorological Factors and the Spread of COVID‐19: A Territorial Analysis in Italy |
| title_full_unstemmed | Meteorological Factors and the Spread of COVID‐19: A Territorial Analysis in Italy |
| title_short | Meteorological Factors and the Spread of COVID‐19: A Territorial Analysis in Italy |
| title_sort | meteorological factors and the spread of covid 19 a territorial analysis in italy |
| topic | artificial intelligence atmospheric moisture COVID‐19 dew point temperature machine learning models random Forest |
| url | https://doi.org/10.1002/met.70048 |
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