Bayesian spatio-temporal modeling of mortality in relation to malaria incidence in Western Kenya.

ABSTRACT:

Introduction

The effect of malaria exposure on mortality using health facility incidence data as a measure of transmission has not been well investigated. Health and demographic surveillance systems (HDSS) routinely capture data on mortality, interventions and other household related indicators, offering a unique platform for estimating and monitoring the incidence-mortality relationship in space and time.

Methods

Mortality data from the HDSS located in Western Kenya collected from 2007 to 2012 and linked to health facility incidence data were analysed using Bayesian spatio-temporal survival models to investigate the relation between mortality (all-cause/malaria-specific) and malaria incidence across all age groups. The analysis adjusted for insecticide-treated net (ITN) own

SUBMITTER: Khagayi S 

PROVIDER: S-EPMC5509217 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature