Evidence map›Paper›PMID 42102228›Full record

ArticlePLOS global public health2026

Estimating the impact of the RTS,S/AS01 malaria vaccine in Benin: A mathematical modelling study.

Sena V Alohoutade, Rachel Hounsell, Codjo Dandonougbo, Rock Aikpon, Jules Degila, Sheetal Silal

Abstract read
In one paragraph

Article in PLOS global public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Article
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

6 authors.

Sena V AlohoutadeModelling and Simulation Hub, Africa, Department of Statistical Sciences, University of Cape Town, Cape Town, South Africa.ORCID https://orcid.org/0009-0001-7432-6359
Rachel HounsellModelling and Simulation Hub, Africa, Department of Statistical Sciences, University of Cape Town, Cape Town, South Africa.
Codjo DandonougboNational Malaria Control Program, Ministry of Health, Cotonou, Benin.
Rock AikponNational Malaria Control Program, Ministry of Health, Cotonou, Benin.
Jules DegilaInstitut de Mathématiques et de Science Physiques, Dangbo, Benin.
Sheetal SilalModelling and Simulation Hub, Africa, Department of Statistical Sciences, University of Cape Town, Cape Town, South Africa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Malaria constitutes a major public health burden in sub-Saharan Africa. It remains a key health concern and the leading cause of death in children under five in Benin. Since October 2021, the World Health Organization has recommended the use of malaria vaccines for the prevention of Plasmodium falciparum malaria in children living in malaria endemic areas, prioritizing areas of moderate and high transmission in sub-Saharan Africa. However, with the exception of Ghana, there is a scarcity of studies modelling the potential impact of the RTS,S/AS01 vaccine in the context of West Africa. A compartmental mathematical model was developed to estimate clinical and severe malaria cases averted in children under five with the primary series of the RTS,S/AS01 malaria vaccine in Benin. Over a period of 10 years, scenarios involving vaccine introduction at different coverage levels alongside the use of long-lasting insecticidal nets were modelled to assess the impact of the RTS,S/AS01 vaccine on malaria transmission. The combination of childhood malaria vaccination at a coverage similar to that of the third dose of diphtheria, tetanus, and pertussis (DTP3) vaccine, along with the current use of nets, is projected to result in a 40% reduction in malaria clinical cases and deaths among children under five years old, compared to using nets alone, from 2025 to 2034. However, if the introduction of a malaria vaccine has the unintended consequence of decreased net use, cumulative benefits may be offset. A 1.5-fold decrease in the use of nets is projected to result in an increase in malaria burden. This modelling exercise concludes that childhood vaccination is expected to avert clinical and severe cases of malaria and is an additional tool to advance malaria control efforts in Benin but potential unintended consequences of a reduction in net usage may reduce these gains.

Identifiers

PMID42102228
PMCPMC13155658

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.