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Dataset Information

Model-based estimates of transmission of respiratory syncytial virus within households.


ABSTRACT:

Introduction

Respiratory syncytial virus (RSV) causes a significant respiratory disease burden in the under 5 population. The transmission pathway to young children is not fully quantified in low-income settings, and this information is required to design interventions.

Methods

We used an individual level transmission model to infer transmission parameters using data collected from 493 individuals distributed across 47 households over a period of 6 months spanning the 2009/2010 RSV season. A total of 208 episodes of RSV were observed from 179 individuals. We model competing transmission risk from within household exposure and community exposure while making a distinction between RSV groups A and B.

Results

We find that 32-53% of all RSV transmissions are between membe

SUBMITTER: Kombe IK 

PROVIDER: S-EPMC6543068 | biostudies-literature | 2019 Jun

REPOSITORIES: biostudies-literature