Time series non-Gaussian Bayesian bivariate model applied to data on HMPV and RSV: a case of Dadaab in Kenya

Time series non-Gaussian Bayesian bivariate model applied to data on HMPV and RSV: a case of Dadaab in Kenya

Abstract Background Human metapneumovirus (HMPV) have similar symptoms to those caused by the respiratory syncytial virus (RSV). The modes of transmission and dynamics of time series data still remain poorly understood. Climatic factors have long been suspected to be implicated in impacting on the n...

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Bibliographic Details
Main Authors: Raymond Nyoka, Thomas N. O. Achia, Jimmy Omony, Samuel M. Musili, Anthony Gichangi, Henry Mwambi
Format: Article
Language:English
Published: BMC 2019-06-01
Series:BMC Public Health
Subjects:
Non-Gaussian bivariate Bayesian model
RSV
HMPV
Epidemic
Time series
Climatic factors
Online Access:http://link.springer.com/article/10.1186/s12889-019-7036-2

Internet

http://link.springer.com/article/10.1186/s12889-019-7036-2

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