Mapping the spatial distribution of the dengue vector Aedes aegypti and predicting its abundance in northeastern Thailand using machine-learning approach-Reference-Cited by-同舟云学术

Mapping the spatial distribution of the dengue vector Aedes aegypti and predicting its abundance in northeastern Thailand using machine-learning approach

Published:2021-12 Issue: Volume:13 Page:100358
ISSN:2352-7714
Container-title:One Health
language:en
Short-container-title:One Health

Author:

Rahman Md. Siddikur,Pientong Chamsai,Zafar Sumaira,Ekalaksananan Tipaya,Paul Richard E.,Haque Ubydul,Rocklöv Joacim,Overgaard Hans J.

Publisher

Elsevier BV

Subject

Infectious Diseases,Public Health, Environmental and Occupational Health

Reference54 articles.

1. The global distribution and burden of dengue;Bhatt;Nature,2013

2. Epidemiology of dengue: past, present and future prospects;Murray;Clin. Epidemiol.,2013

3. Knowledge, attitudes, and practices on climate change and dengue in Lao People’s Democratic Republic and Thailand;Rahman;Environ. Res.,2021

4. Effects of socio-demographic characteristics and household water management on Aedes aegypti production in suburban and rural villages in Laos and Thailand;Vannavong;Parasit. Vectors,2017

5. A spatial agent-based simulation model of the dengue vector Aedes aegypti to explore its population dynamics in urban areas;Maneerat;Ecol. Model.,2016

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