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

Articolo
Data di Pubblicazione:
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.
Tipologia CRIS:
01.01 Articolo in rivista
Keywords:
COVID-19; Ecological Niche Modelling; MaxEnt; Maximum Entropy Models; Epidemiology
Elenco autori:
Coro, Gianpaolo
Autori di Ateneo:
CORO GIANPAOLO
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/447198
Link al Full Text:
https://iris.cnr.it//retrieve/handle/20.500.14243/447198/87405/prod_460244-doc_179426.pdf
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URL

https://ercim-news.ercim.eu/en124/special/predicting-the-spread-of-covid-19-through-marine-ecological-niche-models
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