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Dataset Information

Worldwide Correlations Support COVID-19 Seasonal Behavior and Impact of Global Change.


ABSTRACT: Many viral diseases exhibit seasonal behavior and can be affected by environmental stressors. Using time-series correlation charts extrapolated from worldwide data, we provide strong support for the seasonal development of COVID-19 regardless of the immunity of the population, behavioral changes, and the periodic appearance of new variants with higher rates of infectivity and transmissibility. Statistically significant latitudinal gradients were also observed with indicators of global change. Using the Environmental Protection Index (EPI) and State of Global Air (SoGA) metrics, a bilateral analysis of environmental health and ecosystem vitality effects showed associations with COVID-19 transmission. Air quality, pollution emissions, and other indicators showed strong correlations with COVI

SUBMITTER: Hernandez N 

PROVIDER: S-EPMC10113908 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature