Evidence map›Paper›PMID 41808900›Full record

ArticleBMJ public health2026

Provincial stratification and equity-weighted cost-effectiveness of malaria vaccines in Zambia under climate variability.

Avulundiah Edwin Phiri

Abstract read
In one paragraph

Article in BMJ public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

1 author.

Avulundiah Edwin PhiriMathematics, The Copperbelt University School of Mathematics and Natural Sciences, Kitwe, Zambia.ORCID https://orcid.org/0000-0001-9794-5438

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Malaria remains a major public health burden in Zambia, with 5-6 million cases annually. Heterogeneous transmission complicates vaccine deployment. While RTS,S/AS01 has been piloted, the impact and cost-effectiveness of RTS,S and next-generation R21 require rigorous provincial-level evaluation. Methods: We developed a province-stratified susceptible, exposed, infectious and recovered (SEIR)-mosquito transmission model incorporating entomological inoculation rates, calibrated to routine surveillance data. The model generated expressions for the basic reproduction number (R₀) and herd immunity thresholds. Cost-effectiveness was assessed from the Zambia Ministry of Health perspective over a 5-year analytic horizon (2024-2028), with 3% annual discounting, using disability-adjusted life-years (DALYs) averted. Costs included procurement, delivery, cold-chain investment and treatment savings. Incremental cost-effectiveness ratios (ICERs) and probabilistic sensitivity analyses (10 000 simulations) were benchmarked against Zambia's US$500/DALY willingness-to-pay threshold. Equity was assessed via ICER distributions and concentration indices. Results: Over the 5-year analytic horizon, malaria vaccination substantially reduced transmission intensity and disease burden relative to a no-vaccination baseline, with marked heterogeneity across provinces. Nationally, deployment of the RTS,S vaccine was estimated to avert a median of 9.80 × 10 Conclusions: Provincial stratification highlights the need for targeted vaccine roll-out and infrastructure strengthening. RTS,S is borderline cost-effective at current prices, while R21 is highly cost-effective and potentially dominant. Findings support phased provincial deployment with equity weighting, budget integration and climate-adaptive investment to maximise health gains.

Indexed as

Basic Reproduction NumberCommunicable Disease ControlDisease Transmission, InfectiousEpidemiology

Identifiers

PMID41808900
PMCPMC12970093

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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.