Skip to Main Content (Press Enter)

Logo CNR
  • ×
  • Home
  • People
  • Outputs
  • Organizations
  • Expertise & Skills

UNI-FIND
Logo CNR

|

UNI-FIND

cnr.it
  • ×
  • Home
  • People
  • Outputs
  • Organizations
  • Expertise & Skills
  1. Outputs

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

Academic Article
Publication Date:
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.
Iris type:
01.01 Articolo in rivista
Keywords:
COVID-19; Ecological Niche Modelling; MaxEnt; Maximum Entropy Models; Epidemiology
List of contributors:
Coro, Gianpaolo
Authors of the University:
CORO GIANPAOLO
Handle:
https://iris.cnr.it/handle/20.500.14243/447198
Full Text:
https://iris.cnr.it//retrieve/handle/20.500.14243/447198/87405/prod_460244-doc_179426.pdf
  • Overview

Overview

URL

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

Powered by VIVO | Designed by Cineca | 26.5.0.0 | Sorgente dati: PREPROD (Ribaltamento disabilitato)