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Influence of weather factors on the incidence of COVID-19 in Spain. / Influencia de los factores meteorológicos en la incidencia de COVID-19 en España.
Valero, Carmen; Barba, Raquel; Marcos, Daniel Pablo; Puente, Nuria; Riancho, José Antonio; Santurtún, Ana.
  • Valero C; Departamento de Medicina Interna, Hospital Universitario Marqués de Valdecilla, IDIVAL, Universidad de Cantabria, Santander, España. Electronic address: mirvdc@humv.es.
  • Barba R; Unidad de Medicina Legal, Facultad de Medicina, Universidad de Cantabria, Santander, España.
  • Marcos DP; Departamento de Medicina Interna, Hospital Universitario Marqués de Valdecilla, IDIVAL, Universidad de Cantabria, Santander, España.
  • Puente N; Departamento de Medicina Interna, Hospital Universitario Marqués de Valdecilla, IDIVAL, Universidad de Cantabria, Santander, España.
  • Riancho JA; Departamento de Medicina Interna, Hospital Universitario Marqués de Valdecilla, IDIVAL, Universidad de Cantabria, Santander, España.
  • Santurtún A; Unidad de Medicina Legal, Facultad de Medicina, Universidad de Cantabria, Santander, España.
Med Clin (Barc) ; 159(6): 255-261, 2022 09 23.
Article in English, Spanish | MEDLINE | ID: covidwho-1565611
ABSTRACT

INTRODUCTION:

Several studies have analyzed the influence of meteorological and geographical factors on the incidence of COVID-19. Seasonality could be important in the transmission of SARS-CoV-2. This study aims to evaluate the geographical pattern of COVID-19 in Spain and its relationship with different meteorological variables.

METHODS:

A provincial ecological study analyzing the influence of meteorological and geographical factors on the cumulative incidence of COVID-19 in the 52 (24 coastal and 28 inland) Spanish provinces during the first three waves was carried out. The cumulative incidence was calculated with data from the National Statistical Institute (INE) and the National Epidemiological Surveillance Network (RENAVE), while the meteorological variables were obtained from the Spanish Meteorological Agency (AEMET).

RESULTS:

The total cumulative incidence, in all three waves, was lower in the coastal provinces than in the inland ones (566±181 vs. 782±154; p=2.5×10-5). The cumulative incidence correlated negatively with mean air temperature (r=-0.49; p=2.2×10-4) and rainfall (r=-0.33; p=0.01), and positively with altitude (r=0.56; p=1. 4×10-5). The Spanish provinces with an average temperature <10°C had almost twice the cumulative incidence than the provinces with temperatures >16°C. The mean air temperature and rainfall were associated with the cumulative incidence of COVID-19, regardless of other factors (Beta Coefficient of -0.62; p=3.7×10-7 and -0.47; p=4.2×10-5 respectively).

CONCLUSIONS:

Meteorological and geographical factors could influence the evolution of the pandemic in Spain. Knowledge regarding the seasonality of the virus would help to predict new waves of COVID-19 infections.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Weather / COVID-19 Type of study: Experimental Studies / Observational study / Prognostic study Topics: Variants Limits: Humans Country/Region as subject: Europa Language: English / Spanish Journal: Med Clin (Barc) Year: 2022 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Weather / COVID-19 Type of study: Experimental Studies / Observational study / Prognostic study Topics: Variants Limits: Humans Country/Region as subject: Europa Language: English / Spanish Journal: Med Clin (Barc) Year: 2022 Document Type: Article