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Spatial and Temporal Correlations of COVID-19 Mortality in Europe with Atmospheric Cloudiness and Solar Radiation

Iftime et al., ISPRS International Journal of Geo-Information, doi:10.3390/ijgi14080283, Jul 2025
https://c19early.org/iftime.html
Sunlight for COVID-19
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Analysis of 37 European countries showing that COVID-19 mortality was significantly negatively correlated with solar radiation in the previous month and positively correlated with cloudiness in both the current month and previous month, after adjusting for latitude.
Iftime et al., 22 Jul 2025, retrospective, multiple countries, peer-reviewed, 5 authors, study period March 2020 - December 2020. Contact: adrian.iftime@umfcd.ro (corresponding author), victor-andrei.burcea@rez.umfcd.ro, octavian.calinescu@umfcd.ro, ramona.babes@umfcd.ro, secil.omer@medlife.ro.
Spatial and Temporal Correlations of COVID-19 Mortality in Europe with Atmospheric Cloudiness and Solar Radiation
Adrian Iftime, Secil Omer, Victor-Andrei Burcea, Octavian Călinescu, Ramona-Madalina Babeș
ISPRS International Journal of Geo-Information, doi:10.3390/ijgi14080283
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/m 2 ) 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.
Author Contributions: Conceptualization, Adrian Iftime and Secil Omer; methodology, Adrian Iftime, Secil Omer; formal analysis and data visualization, Adrian Iftime; data curation and storage, Victor-Andrei Burcea; writing-original draft preparation, Adrian Iftime, Secil Omer; writing-review and editing, Adrian Iftime, Secil Omer, Victor-Andrei Burcea, Octavian Cȃlinescu, Ramona-Madalina Babes , ; validation, Octavian Cȃlinescu, Ramona-Madalina Babes , ; clinical virology expertise: Victor-Andrei Burcea; biology expertise, Ramona-Madalina Babes , ; clinical care expertise, Secil Omer. All authors have read and agreed to the published version of the manuscript. Conflicts of Interest: The authors declare no conflicts of interest. Abbreviations The following abbreviations are used in this manuscript: (deaths/million) 3 and 5a ).
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DOI record: { "DOI": "10.3390/ijgi14080283", "ISSN": [ "2220-9964" ], "URL": "http://dx.doi.org/10.3390/ijgi14080283", "abstract": "<jats:p>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.</jats:p>", "alternative-id": [ "ijgi14080283" ], "author": [ { "ORCID": "https://orcid.org/0000-0002-5987-1789", "affiliation": [ { "name": "Biophysics Department, Carol Davila University of Medicine and Pharmacy, 050474 Bucharest, Romania" } ], "authenticated-orcid": false, "family": "Iftime", "given": "Adrian", "sequence": "first" }, { "ORCID": "https://orcid.org/0000-0002-6797-3902", "affiliation": [ { "name": "MedLife Life Memorial Hospital, Calea Griviței 365, 010719 Bucharest, Romania" } ], "authenticated-orcid": false, "family": "Omer", "given": "Secil", "sequence": "additional" }, { "ORCID": "https://orcid.org/0000-0002-3269-5375", "affiliation": [ { "name": "Biophysics Department, Carol Davila University of Medicine and Pharmacy, 050474 Bucharest, Romania" }, { "name": "Ștefan S. 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