A global-scale ecological niche model to predict SARS-CoV-2 coronavirus infection rate.

ABSTRACT: COVID-19 pandemic is a global threat to human health and economy that requires urgent prevention and monitoring strategies. Several models are under study to control the disease spread and infection rate and to detect possible factors that might favour them, with a focus on understanding the correlation between the disease and specific geophysical parameters. However, the pandemic does not present evident environmental hindrances in the infected countries. Nevertheless, a lower rate of infections has been observed in some countries, which might be related to particular population and climatic conditions. In this paper, infection rate of COVID-19 is modelled globally at a 0.5^∘ resolution, using a Maximum Entropy-based Ecological Niche Model that identifies geographical are

SUBMITTER: Coro G 

PROVIDER: S-EPMC7305924 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature