Journal article
Modelling the household-level impact of a maternal respiratory syncytial virus (RSV) vaccine in a high-income setting
Patricia T Campbell, Nicholas Geard, Alexandra B Hogan
BMC Medicine | BMC | Published : 2020
Abstract
BACKGROUND: Respiratory syncytial virus (RSV) infects almost all children by the age of 2 years, with the risk of hospitalisation highest in the first 6 months of life. Development and licensure of a vaccine to prevent severe RSV illness in infants is a public health priority. A recent phase 3 clinical trial estimated the efficacy of maternal vaccination at 39% over the first 90 days of life. Households play a key role in RSV transmission; however, few estimates of population-level RSV vaccine impact account for household structure. METHODS: We simulated RSV transmission within a stochastic, individual-based model framework, using an existing demographic model, structured by age and househol..
View full abstractGrants
Awarded by Australian National Health and Medical Research Council PRISM2 Centre of Research Excellence
Awarded by MRC Centre for Global Infectious Disease Analysis - UK Medical Research Council (MRC), under the MRC/DFID Concordat agreement
Awarded by MRC Centre for Global Infectious Disease Analysis - UK Department for International Development (DFID), under the MRC/DFID Concordat agreement
Funding Acknowledgements
ABH and PTC acknowledge joint support from an Australian National Health and Medical Research Council PRISM2 Centre of Research Excellence seed funding grant (GNT1058804). ABH also acknowledges funding from her Imperial College Research Fellowship, and the MRC Centre for Global Infectious Disease Analysis (MR/R015600/1), jointly funded by the UK Medical Research Council (MRC) and the UK Department for International Development (DFID), under the MRC/DFID Concordat agreement and part of the EDCTP2 programme supported by the European Union. The funders had no role in study design, data collection and analysis, decision to publish or preparation of the manuscript.