Evidence map›Paper›PMID 37004062›Full record

ArticleBMC medicine2023

Estimating the cost-effectiveness of maternal vaccination and monoclonal antibodies for respiratory syncytial virus in Kenya and South Africa.

Mihaly Koltai, Jocelyn Moyes, Bryan Nyawanda, Joyce Nyiro, Patrick K Munywoki, Stefano Tempia, Xiao Li, Marina Antillon, Joke Bilcke, Stefan Flasche and 4 more

Open access · goldAbstract read
In one paragraph

Article in BMC medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 2 pooled it
6.4field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed, 2 syntheses or guidelines pooled it, 30 citations in OpenAlex.

  1. Pooled it
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  6. Childhood infectious diseases: experiences and challenges.World journal of pediatrics : WJP · 2025
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  16. From setbacks to success: lessons from the journey of RSV vaccine development.Therapeutic advances in vaccines and immunotherapy · 2024
    Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors at 5 institutions in 4 countries.

Mihaly KoltaiDepartment for Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK. mihaly.koltai@lshtm.ac.uk.ORCID 0000-0002-7341-5114
Jocelyn MoyesCentre for Respiratory Disease and Meningitis, National Institute for Communicable Diseases, Johannesburg, South Africa.
Bryan NyawandaKenya Medical Research Institute (KEMRI) - Center for Global Health Research, Kisumu, Kenya.
Joyce NyiroKEMRI-Wellcome Trust Research Programme, KEMRI Centre for Geographical Medicine Research-Coast, Kilifi, Kenya.
Patrick K MunywokiDivision of Global Health Protection, Centers for Disease Control and Prevention, Nairobi, Kenya.
Stefano TempiaCentre for Respiratory Disease and Meningitis, National Institute for Communicable Diseases, Johannesburg, South Africa.
Xiao LiCentre for Health Economic Research and Modelling Infectious Diseases (CHERMID), Vaccine & Infectious Disease Institute, University of Antwerp, Antwerp, Belgium.
Marina AntillonCentre for Health Economic Research and Modelling Infectious Diseases (CHERMID), Vaccine & Infectious Disease Institute, University of Antwerp, Antwerp, Belgium.
Joke BilckeCentre for Health Economic Research and Modelling Infectious Diseases (CHERMID), Vaccine & Infectious Disease Institute, University of Antwerp, Antwerp, Belgium.
Stefan FlascheDepartment for Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK.
Philippe BeutelsCentre for Health Economic Research and Modelling Infectious Diseases (CHERMID), Vaccine & Infectious Disease Institute, University of Antwerp, Antwerp, Belgium.
D James NokesKEMRI-Wellcome Trust Research Programme, KEMRI Centre for Geographical Medicine Research-Coast, Kilifi, Kenya.
Cheryl CohenCentre for Respiratory Disease and Meningitis, National Institute for Communicable Diseases, Johannesburg, South Africa.
Mark JitDepartment for Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK.
University of Antwerp · BEKenya Medical Research Institute · KELondon School of Hygiene & Tropical Medicine · GBUniversity of the Witwatersrand · ZACenters for Disease Control and Prevention · KE

Funding

Gates Foundation INV-007610Wellcome Trust 208812/Z/17/Z
6 · The paper itself

Abstract

backgroundRespiratory syncytial virus (RSV) causes a substantial burden of acute lower respiratory infection in children under 5 years, particularly in low- and middle-income countries (LMICs). Maternal vaccine (MV) and next-generation monoclonal antibody (mAb) candidates have been shown to reduce RSV disease in infants in phase 3 clinical trials. The cost-effectiveness of these biologics has been estimated using disease burden data from global meta-analyses, but these are sensitive to the detailed age breakdown of paediatric RSV disease, for which there have previously been limited data.

methodsWe use original hospital-based incidence data from South Africa (ZAF) and Kenya (KEN) collected between 2010 and 2018 of RSV-associated acute respiratory infection (ARI), influenza-like illness (ILI), and severe acute respiratory infection (SARI) as well as deaths with monthly age-stratification, supplemented with data on healthcare-seeking behaviour and costs to the healthcare system and households. We estimated the incremental cost per DALY averted (incremental cost-effectiveness ratio or ICER) of public health interventions by MV or mAb for a plausible range of prices (5-50 USD for MV, 10-125 USD for mAb), using an adjusted version of a previously published health economic model of RSV immunisation.

resultsOur data show higher disease incidence for infants younger than 6 months of age in the case of Kenya and South Africa than suggested by earlier projections from community incidence-based meta-analyses of LMIC data. Since MV and mAb provide protection for these youngest age groups, this leads to a substantially larger reduction of disease burden and, therefore, more favourable cost-effectiveness of both interventions in both countries. Using the latest efficacy data and inferred coverage levels based on antenatal care (ANC-3) coverage (KEN: 61.7%, ZAF: 75.2%), our median estimate of the reduction in RSV-associated deaths in children under 5 years in Kenya is 10.5% (95% CI: 7.9, 13.3) for MV and 13.5% (10.7, 16.4) for mAb, while in South Africa, it is 27.4% (21.6, 32.3) and 37.9% (32.3, 43.0), respectively. Starting from a dose price of 5 USD, in Kenya, net cost (for the healthcare system) per (undiscounted) DALY averted for MV is 179 (126, 267) USD, rising to 1512 (1166, 2070) USD at 30 USD per dose; for mAb, it is 684 (543, 895) USD at 20 USD per dose and 1496 (1203, 1934) USD at 40 USD per dose. In South Africa, a MV at 5 USD per dose would be net cost-saving for the healthcare system and net cost per DALY averted is still below the ZAF's GDP per capita at 40 USD dose price (median: 2350, 95% CI: 1720, 3346). For mAb in ZAF, net cost per DALY averted is 247 (46, 510) USD at 20 USD per dose, rising to 2028 (1565, 2638) USD at 50 USD per dose and to 6481 (5364, 7959) USD at 125 USD per dose.

conclusionsIncorporation of new data indicating the disease burden is highly concentrated in the first 6 months of life in two African settings suggests that interventions against RSV disease may be more cost-effective than previously estimated.

Indexed as

Respiratory Syncytial Virus, HumanRespiratory Syncytial Virus InfectionsAntibodies, MonoclonalChildChild, PreschoolCost-Benefit AnalysisFemaleHumansInfantKenyaPregnancySouth AfricaVaccinationAntibodies, MonoclonalARICost-effectiveness analysisDisease burdenHospital dataMaternal vaccinationMonoclonal antibodiesRespiratory syncytial virusSARI

Identifiers

PMID37004062
PMCPMC10064962
OpenAlexW4362521923

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.