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. There...

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Veröffentlicht in:	Scientific reports 2022-07, Vol.12 (1), p.11716-11716, Article 11716
Hauptverfasser:	Tsheten, Tsheten, Penjor, Kinley, Tshering, Chachu, Clements, Archie C. A., Gray, Darren J., Wangdi, Kinley
Format:	Artikel
Sprache:	eng
Schlagworte:	692/499 692/699 692/700 704/106 Bayesian analysis Climate change Colds Common cold Heterogeneity Humanities and Social Sciences Morbidity multidisciplinary Rainfall Relative humidity Respiration Science Science (multidisciplinary) Seasonal variations Spatial heterogeneity Statistical analysis
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Zusammenfassung:	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. There were 2,480,509 notifications of common cold between 2010 and 2018. Children aged
ISSN:	2045-2322 2045-2322
DOI:	10.1038/s41598-022-16069-7