Inferring Seasonal Modulation of Early SARS-CoV-2 Transmissibility from Cross-Country Environmental and Population-Level Predictors
et al., Pathogens, doi:10.3390/pathogens15090879, Aug 2026
Sunlight for COVID-19
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Ecological study of 118 countries showing that, among 101 non-equatorial countries, UV radiation minimum aligned more closely with peak predicted SARS-CoV-2 transmissibility than temperature minimum. Authors suggest that UV radiation may be a driver of seasonality via direct viral inactivation on surfaces and in aerosols, and indirectly via UV-B-dependent vitamin D synthesis affecting immune function.
Milicevic et al., 22 Aug 2026, retrospective, Serbia, peer-reviewed, 4 authors.
Contact: dmarko@bio.bg.ac.rs (corresponding author), ognjen.milicevic@med.bg.ac.rs, magdalena.djordjevic@ipb.ac.rs, igor.salom@ipb.ac.rs.
Abstract:
Article
Inferring Seasonal Modulation of Early SARS-CoV-2 Transmissibility from Cross-Country Environmental and Population-Level Predictors
Ognjen Milicevic 1 , Magdalena Djordjevic 2 , Igor Salom 2 and Marko Djordjevic 3, *
- 1 Institute for Medical Statistics and Informatics, Faculty of Medicine, University of Belgrade, 15 Dr Subotica Street, 11000 Belgrade, Serbia; ognjen.milicevic@med.bg.ac.rs
- 2 Institute of Physics Belgrade, National Institute of the Republic of Serbia, University of Belgrade, Pregrevica 118, 11080 Belgrade, Serbia; magdalena.djordjevic@ipb.ac.rs (M.D.); igor.salom@ipb.ac.rs (I.S.)
- 3 Quantitative Biology Group, Faculty of Biology, University of Belgrade, Studentski trg 16, 11000 Belgrade, Serbia
* Correspondence: dmarko@bio.bg.ac.rs
Abstract
Seasonal variation in SARS-CoV-2 transmissibility is difficult to estimate directly from year-round epidemic data because interventions, behavior, reporting, immunity, and viral evolution change concurrently. We therefore asked whether cross-country differences observed during the initial exponential-growth phase could be used to infer country-specific seasonal modulation. Early-pandemic basic reproduction numbers (R0) from 118 countries were linked to 96 harmonized environmental and population-level predictors. Among nine candidate algorithms evaluated across 100 repeated train-test splits, ridge regression using the combined predictor set provided the best balance of predictive accuracy, generalization, and temporal stability. The selected model was then driven by daily climatological covariates to reconstruct annual baseline R0(t) profiles. Predicted transmissibility generally peaked during winter in the Northern Hemisphere and approximately six months later in the Southern Hemisphere, whereas equatorial countries showed weaker or multimodal patterns. Seasonal forcing amplitude increased strongly with absolute latitude (r = 0.85; mean 0.064 across 77 temperate countries), and predicted R0 peaks aligned more closely with minimum ultraviolet radiation than with minimum temperature. These ecological associations do not establish causality, but they provide country-specific seasonal-forcing parameters for epidemic models and a baseline environmental context for comparing early-pandemic trajectories.
Keywords: SARS-CoV-2; COVID-19; seasonal modulation; early-pandemic transmissibility; basic reproduction number; environmental epidemiology; ultraviolet radiation; machine learning; epidemic modeling
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"abstract": "<jats:p>Seasonal variation in SARS-CoV-2 transmissibility is difficult to estimate directly from year-round epidemic data because interventions, behavior, reporting, immunity, and viral evolution change concurrently. We therefore asked whether cross-country differences observed during the initial exponential-growth phase could be used to infer country-specific seasonal modulation. Early-pandemic basic reproduction numbers (R0) from 118 countries were linked to 96 harmonized environmental and population-level predictors. Among nine candidate algorithms evaluated across 100 repeated train–test splits, ridge regression using the combined predictor set provided the best balance of predictive accuracy, generalization, and temporal stability. The selected model was then driven by daily climatological covariates to reconstruct annual baseline R0(t) profiles. Predicted transmissibility generally peaked during winter in the Northern Hemisphere and approximately six months later in the Southern Hemisphere, whereas equatorial countries showed weaker or multimodal patterns. Seasonal forcing amplitude increased strongly with absolute latitude (r = 0.85; mean 0.064 across 77 temperate countries), and predicted R0 peaks aligned more closely with minimum ultraviolet radiation than with minimum temperature. These ecological associations do not establish causality, but they provide country-specific seasonal-forcing parameters for epidemic models and a baseline environmental context for comparing early-pandemic trajectories.</jats:p>",
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