Inverted Covariate Effects for First versus Mutated Second Wave Covid-19: High Temperature Spread Biased for Young

Título

Inverted Covariate Effects for First versus Mutated Second Wave Covid-19: High Temperature Spread Biased for Young

Autor

Hervé Seligmann, Siham Iggui, Mustapha Rachdi, Nicolas Vuillerme, Jacques Demongeot

Descripción

(1) Background: Here, we characterize COVID-19’s waves, following a study presenting negative associations between first wave COVID-19 spread parameters and temperature. (2) Methods: Visual examinations of daily increases in confirmed COVID-19 cases in 124 countries, determined first and second waves in 28 countries. (3) Results: The first wave spread rate increases with country mean elevation, median population age, time since wave onset, and decreases with temperature. Spread rates decrease above 1000 m, indicating high ultraviolet lights (UVs) decrease the spread rate. The second wave associations are the opposite, i.e., spread increases with temperature and young age, and decreases with time since wave onset. The earliest second waves started 5–7 April at mutagenic high elevations (Armenia, Algeria). The second waves also occurred at the warm-to-cold season transition (Argentina, Chile). Second vs. first wave spread decreases in most (77%) countries. In countries with late first wave onset, spread rates better fit second than first wave-temperature patterns. In countries with ageing populations (for example, Japan, Sweden, and Ukraine), second waves only adapted to spread at higher temperatures, not to infect the young. (4) Conclusions: First wave viruses evolved towards lower spread. Second wave mutant COVID-19 strain(s) adapted to higher temperature, infecting younger ages and replacing (also in cold conditions) first wave COVID-19 strains. Counterintuitively, low spread strains replace high spread strains, rendering prognostics and extrapolations uncertain.

Fecha

2020

Materia

covid-19, regression, random drift, exponential slope, adaptation for low pathogenicity

Identificador

10.3390/biology9080226

Fuente

Epidemiology and Health

Editor

Korean Society of Epidemiology

Cobertura

Biology (General)

Archivos

https://socictopen.socict.org/files/to_import/pdfs/40934b9719d04d2d4226b1446fd2fdb0.pdf

Colección

Citación

Hervé Seligmann, Siham Iggui, Mustapha Rachdi, Nicolas Vuillerme, Jacques Demongeot, “Inverted Covariate Effects for First versus Mutated Second Wave Covid-19: High Temperature Spread Biased for Young,” SOCICT Open, consulta 19 de abril de 2026, https://www.socictopen.socict.org/items/show/10159.

Formatos de Salida

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