Bayesian modeling of spatiotemporal patterns of TB-HIV co-infection risk in Kenya
Abstract
Background Tuberculosis (TB) and Human Immunodeficiency Virus (HIV) diseases are globally acknowledged as a public health challenge that exhibits adverse bidirectional relations due to the co-epidemic overlap. To understand the co-infection burden we used the case notification data to generate spatiotemporal maps that described the distribution and exposure hypotheses for further epidemiologic investigations in areas with unusual case...
Paper Details
Title
Bayesian modeling of spatiotemporal patterns of TB-HIV co-infection risk in Kenya
Published Date
Oct 28, 2019
Journal
Volume
19
Issue
1
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