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.

Meteorological Factors and the Spread of COVID-19: A Territorial Analysis in Italy

Vito Telesca.;Castronuovo G.;Rondinone M.;
2025-01-01

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.
2025
File in questo prodotto:
File Dimensione Formato  
Meteorological Applications - 2025 - Telesca - Meteorological Factors and the Spread of COVID‐19 A Territorial Analysis in.pdf

accesso aperto

Descrizione: This article investigates the influence of meteorological factors on the spread of COVID-19 across different regions of Italy, using statistical and machine learning models to analyze temperature, humidity, and other environmental variables
Tipologia: Pdf editoriale
Licenza: Creative commons
Dimensione 4.52 MB
Formato Adobe PDF
4.52 MB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11563/204116
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 0
  • ???jsp.display-item.citation.isi??? ND
social impact