Estimated impact of RTS,S/AS01 malaria vaccine allocation strategies in sub-Saharan Africa: A modelling study
PLOS Medicine·
- DOI
- 10.1371/journal.pmed.1003377
- PMID
- 33253211
- PMCID
- PMC7703928
- OpenAlex
- W3108806433
- Study type
- Mathematical modelling
- Publisher
- Public Library of Science (PLoS)
- Article type
- journal-article
- Integrity
- current
Why this research matters now
The findings are framed as relevant to mitigating the effect of limited early RTS,S supply and to guiding geographic prioritisation if wider roll-out is recommended from 2021 onward.
Structured evidence summary
Research question
The study examined where RTS,S/AS01 malaria vaccine introduction should be prioritised across sub-Saharan Africa to maximise public health impact under varying vaccine supply constraints.
Study design
The work is a mathematical modelling study simulating Plasmodium falciparum malaria transmission and the projected impact of RTS,S/AS01 across alternative allocation scenarios, coverage assumptions, and dose constraints.
Population and setting
The modelled population is children aged 0–5 years in sub-Saharan Africa, with sub-national analyses focused on areas of parasite prevalence above 10% and pilot countries (Ghana, Kenya, Malawi) highlighted for comparison.
Main findings
Under realistic coverage and country-level prioritisation in higher-prevalence areas, the model projects roughly 4.3 million cases and 22,000 deaths averted annually in children under five at 30 million doses, scaling to about 6.6 million cases and 38,000 deaths at 60 million doses. Sub-national prioritisation at 30 million doses is projected to avert about 5.3 million cases and 24,000 deaths, and to permit introduction in nearly twice as many countries compared with national prioritisation (21 versus 11).
Public-health relevance
The findings are framed as relevant to mitigating the effect of limited early RTS,S supply and to guiding geographic prioritisation if wider roll-out is recommended from 2021 onward.
Important limitations
This summary is limited to the supplied single-article abstract and metadata; the original paper, including its full methods, sensitivity analyses, and stated limitations, is required for decision-grade interpretation.
GIDS interpretation
The paper is discoverable through topics of vaccination, vaccine effectiveness, transmission dynamics, and climate/environment within malaria and P. falciparum malaria; it is not connected here to any live surveillance signal.
Related GIDS surveillance
Literature context does not validate, explain, or change a surveillance signal. Exact and contextual relationships are shown separately.
Evidence relationships
This article has 14 auditable classifier relationships to diseases, places, topics, and study design.