A Bayesian spatiotemporal approach to modelling arboviral diseases in Mexico.

Moeen Hamid Bukhari,Muhammad Yousaf Shad, Uyen-Sa D T Nguyen, Jesús A Treviño C, Woojin Jung,Waheed U Bajwa, Ana Lucía Gallego-Hernández, Renee Robinson, Nadia Sarai Corral-Frías, Gabriel L Hamer, Penghua Wang, Esther Annan, Chaelin K Ra, David Keellings,Ubydul Haque

Transactions of the Royal Society of Tropical Medicine and Hygiene（2023）

Cited 0|Views15

No score

Abstract

The association of climatic and socio-economic factors is predominant in the northeastern, central west and southeastern regions of Mexico. DENV, CHIKV and ZIKV cases showed an increased risk in several states in these regions and need urgent attention to allocate public health resources to the most vulnerable regions in Mexico.

Translated text

AI Read Science

Must-Reading Tree

Example

Generate MRT to find the research sequence of this paper

Chat Paper

Summary is being generated by the instructions you defined