Modeling household transmission dynamics: Application to waterborne diarrheal disease in Central Africa.

ABSTRACT:

Introduction

We describe a method for analyzing the within-household network dynamics of a disease transmission. We apply it to analyze the occurrences of endemic diarrheal disease in Cameroon, Central Africa based on observational, cross-sectional data available from household health surveys.

Methods

To analyze the data, we apply formalism of the dynamic SID (susceptible-infected-diseased) process that describes the disease steady-state while adjusting for the household age-structure and environment contamination, such as water contamination. The SID transmission rates are estimated via MCMC method with the help of the so-called synthetic likelihood approach.

Results

The SID model is fitted to a dataset on diarrhea occurrence from 63 households in Cameroon. We show t

SUBMITTER: Woroszylo C 

PROVIDER: S-EPMC6221320 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature