Spatial and Temporal Correlations of Covid-19 Mortality in Europe with Atmospheric Cloudiness and Solar Radiation
Bibliographic Data
| ID | 22033910 |
|---|---|
| Authors | Adrian Iftime (0000-0002-5987-1789, Carol Davila University of Medicine and Pharmacy, corresponding author), Secil Omer (0000-0002-6797-3902, Clinical Emergency Hospital Bucharest), Victor-Andrei Burcea (0000-0002-3269-5375, Carol Davila University of Medicine and Pharmacy), Octavian Călinescu (0000-0001-8003-0442, Carol Davila University of Medicine and Pharmacy), Ramona-Madalina Babeș (0000-0002-7161-7118, Carol Davila University of Medicine and Pharmacy) |
| Year | 2025 |
| Volume | 14 |
| Issue | 8 |
| Pages | 283 |
| Publication date | 2025-07-22 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | ISPRS International Journal of Geo-Information (JOURNAL) |
| Journal identifiers | ISSN: 2220-9964 • E-ISSN: 2220-9964 |
| Publisher | MDPI AG (PUBLISHER • IT) |
| DOI | 10.3390/ijgi14080283 |
| OpenAlex | W4412570209 |
| Language | EN |
| References cited | 110 |
Previous studies reported the links between the COVID-19 incidence and weather factors, but few investigated their impact and timing on mortality, at a continental scale. We systematically investigated the temporal relationship of COVID-19 mortality in the European countries in the 1st year of pandemic (March–December 2020) with (i) solar insolation (W/m2) at the ground level and (ii) objective sky cloudiness (as decimal cloud fraction), both derived from satellite measurements. We checked the correlations of these factors within a sliding window of two months for the whole period. Linear-mixed effect modeling revealed that overall, for the European countries (adjusted for latitude), COVID-19 mortality was substantially negatively correlated with solar insolation in the previous month (std. beta −0.69). Separately, mortality was significantly correlated with the cloudiness in both the previous month (std. beta +0.14) and the respective month (std. beta +0.32). This time gap of ∼1 month between the COVID-19 mortality and correlated weather factors was previously unreported. The long-term monitoring of these factors might be important for epidemiological policy decisions especially in the initial period of potential future pandemics when effective medical treatment might not yet be available
Atmospheric sciences · Climatology · Cloud computing · Cloud cover · Geography · Meteorology · Physics · Political science · Air Quality and Health Impacts · Climate Change and Health Impacts · COVID-19 impact on air quality · Environmental Science · Medicine · Geology · Radiation
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