Identifying socio-ecological drivers of common cold in Bhutan: a national surveillance data analysis

The common cold is a leading cause of morbidity and contributes significantly to the health costs in Bhutan. The study utilized multivariate Zero-inflated Poisson regression in a Bayesian framework to identify climatic variability and spatial and temporal patterns of the common cold in Bhutan.

Citation:
Tsheten T, Penjor K, Tshering C, Clements ACA, Gray DJ, Wangdi K. Identifying socio-ecological drivers of common cold in Bhutan: a national surveillance data analysis. Sci Rep. 2022;12(1)

Keywords:
Bayes theorem; Bhutan; common cold; data analysis; incidence; spatiotemporal analysis

Abstract:
The common cold is a leading cause of morbidity and contributes significantly to the health costs in Bhutan. The study utilized multivariate Zero-inflated Poisson regression in a Bayesian framework to identify climatic variability and spatial and temporal patterns of the common cold in Bhutan.