Predicted ecological suitability for OROV transmission across Brazil based on ecological niche modelling.

<p>The maps show the potential distribution in 2020/2021 and 2024. PCA shows the most representative environmental variables for the OROV model: (1) Annual mean temperature; (2) Mean temperature diurnal range; (3) Isothermality; (4) Temperature seasonality; (7) Temperature annual range; (12) A...

وصف كامل

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
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!

Predicted ecological suitability for OROV transmission across Brazil based on ecological niche modelling.

مواد مشابهة