Cargando…
Identifying high-risk areas for dog-mediated rabies using Bayesian spatial regression
Despite ongoing control efforts, rabies remains an endemic zoonotic disease in many countries. Determining high-risk areas and the space-time patterns of rabies spread, as it relates to epidemiologically important factors, can support policymakers and program managers alike to develop evidence-based...
Autores principales: | Kanankege, Kaushi S.T., Errecaborde, Kaylee Myhre, Wiratsudakul, Anuwat, Wongnak, Phrutsamon, Yoopatthanawong, Chakchalat, Thanapongtharm, Weerapong, Alvarez, Julio, Perez, Andres |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9582562/ https://www.ncbi.nlm.nih.gov/pubmed/36277110 http://dx.doi.org/10.1016/j.onehlt.2022.100411 |
Ejemplares similares
-
A ‘what-if’ scenario: Nipah virus attacks pig trade chains in Thailand
por: Wongnak, Phrutsamon, et al.
Publicado: (2020) -
Spatial Distribution and Population Estimation of Dogs in Thailand: Implications for Rabies Prevention and Control
por: Thanapongtharm, Weerapong, et al.
Publicado: (2021) -
The Impact of Socioeconomic Factors on Knowledge, Attitudes, and Practices of Dog Owners on Dog Rabies Control in Thailand
por: Premashthira, Sith, et al.
Publicado: (2021) -
Current characteristics of animal rabies cases in Thailand and relevant risk factors identified by a spatial modeling approach
por: Thanapongtharm, Weerapong, et al.
Publicado: (2021) -
Lessons Learned From the Stakeholder Engagement in Research: Application of Spatial Analytical Tools in One Health Problems
por: Kanankege, Kaushi S. T., et al.
Publicado: (2020)