Researchers from ISTI-CNR (Italy) used marine models, designed to monitor species habitats and invasions, to identify the countries with the highest risk of COVID-19 spread due to climatic and human factors. The model correctly identified most locations where large outbreaks were recorded, independent of population density and dynamics, and is a valuable source of information for smaller-scale population models.

Predicting the spread of COVID-19 through Marine Ecological Niche Models

Coro G
2020

Abstract

Researchers from ISTI-CNR (Italy) used marine models, designed to monitor species habitats and invasions, to identify the countries with the highest risk of COVID-19 spread due to climatic and human factors. The model correctly identified most locations where large outbreaks were recorded, independent of population density and dynamics, and is a valuable source of information for smaller-scale population models.
2020
Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI
COVID-19
Ecological Niche Modelling
MaxEnt
Maximum Entropy Models
Epidemiology
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/447198
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