Evidence Hub

Disease burden estimates in economic evaluation studies of Respiratory Syncytial Virus (RSV) maternal immunization: a systematic review protocol

Sophia Aguiar Monteiro Borges, F. Barreto, Alexandre de Oliveira Esteves, Ana Carolina Rabelo Nonato, E. Polli, Natacha Regina de Moraes Cerchiari, A. M. Sartori, P. D. de Soárez

Systematic Reviews, 2026

Abstract

Background Respiratory syncytial virus (RSV) is a highly contagious pathogen and a leading cause of bronchiolitis and pneumonia in young children, posing a significant global health burden. Currently, there are no effective treatment options available. Maternal immunization has emerged as a promising strategy to protect newborns from RSV. The RSVPref vaccine has shown efficacy in reducing RSV hospitalizations and severe cases in newborns aged 3 to 6 months. Economic evaluations of maternal RSV vaccination are increasingly used to inform healthcare decision-making and resource allocation. These evaluations rely heavily on accurate disease burden estimates based on robust epidemiological data, as these assumptions strongly influence cost-effectiveness results and vaccine introduction decisions. This systematic review provides an overview of economic evaluations of RSV maternal immunization, with a focus on methods for estimating the epidemiological disease burden. Methods We will systematically search for studies in MEDLINE (via PubMed), EMBASE, the NHS Economic Evaluation Database (NHS EED), the HTA database, the Tufts CEA Registry, LILACS, and Web of Science. The search strategy will encompass three main categories, (1) economic evaluation, (2) vaccines, and (3) respiratory syncytial viruses, including studies published since 2000 in any language. Two independent reviewers will extract data via a validated form. The quality of reporting of the included studies will be…

How strong is the evidence?

Evidence Hub reads this as a systematic review, done in people. Its evidence level is 1 of 5 (Highest · pooled evidence). Pooled evidence from several studies sits at the top of the evidence pyramid.

How the five levels of evidence work. The level is assigned automatically from the abstract and can be wrong, so check the paper.

Read the paper

Related studies

Go deeper in Evidence Hub

Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.

Open this study Sign up free