Susceptibility occurrence maps of OROV in two scenarios (2020/2021 and 2024) and expansion areas based on ecological niche modelling.

<p>Data obtained from Maxent software version 3.3.3. The maps were built using ArcGIS version 9.1. Source of map base layers: IBGE: <a href="https://www.ibge.gov.br/geociencias/cartas-e-mapas/mapas-estaduais.html" target="_blank">https://www.ibge.gov.br/geociencias/ca...

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محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Camila Lorenz (3481175) (author)
مؤلفون آخرون:	Thiago Salomão de Azevedo (16406703) (author), Maria Anice Mureb Sallum (7866398) (author), Francisco Chiaravalloti-Neto (3481184) (author)
منشور في:	2025
الموضوعات:	Biotechnology Ecology Cancer Science Policy Infectious Diseases Virology Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Information Systems not elsewhere classified south america since providing valuable insights machine learning algorithm borne virus responsible risk spatial clusters risk clusters tended country &# 8217 socioenvironmental factors contributing key factors behind orov differed markedly oropouche fever outbreak confirmed human cases species distribution modeling 258 oro cases history </ p key factors oropouche fever risk regions socioenvironmental variables serologically confirmed modeling study entire country use change soybean plantations sharper increase satscan software restricted access primarily confined orov circulation oro distribution largest epidemic including poverty identify areas highest incidence amazon region
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Susceptibility occurrence maps of OROV in two scenarios (2020/2021 and 2024) and expansion areas based on ecological niche modelling.

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