Evidence map›Paper›PMID 40251530›Full record

ArticleMalaria journal2025

Estimating the potential impact of surveillance test-and-treat posts to reduce malaria in border regions in sub-Saharan Africa: a modelling study.

Hillary M Topazian, Giovanni D Charles, Nora Schmit, Matteo Pianella, John M Marshall, Immo Kleinschmidt, Katharina Hauck, Azra C Ghani

Abstract read
In one paragraph

Article in Malaria journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

8 authors.

Hillary M TopazianMRC Centre for Global Infectious Disease Analysis, Imperial College London, School of Public Health Building, Imperial College London, 90 Wood Lane, London, W12 0BZ, UK. h.topazian@imperial.ac.uk.
Giovanni D CharlesMRC Centre for Global Infectious Disease Analysis, Imperial College London, School of Public Health Building, Imperial College London, 90 Wood Lane, London, W12 0BZ, UK.
Nora SchmitMRC Centre for Global Infectious Disease Analysis, Imperial College London, School of Public Health Building, Imperial College London, 90 Wood Lane, London, W12 0BZ, UK.
Matteo PianellaMRC Centre for Global Infectious Disease Analysis, Imperial College London, School of Public Health Building, Imperial College London, 90 Wood Lane, London, W12 0BZ, UK.
John M MarshallDivisions of Epidemiology and Biostatistics, School of Public Health, University of California, Berkeley, USA.
Immo KleinschmidtDepartment of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK.
Katharina HauckMRC Centre for Global Infectious Disease Analysis, Jameel Institute, Imperial College London, London, UK.
Azra C GhaniMRC Centre for Global Infectious Disease Analysis, Imperial College London, School of Public Health Building, Imperial College London, 90 Wood Lane, London, W12 0BZ, UK.

Funding

MRC Centre for Global Infectious Disease Analysis MR/X020258/1National Institute for Health and Care Research (NIHR) Health Protection Research Unit in Modelling and Health Economics NIHR200908Wellcome Trust 220900/Z/20/Z
6 · The paper itself

Abstract

backgroundThe last malaria cases in near-elimination settings are often found in international border regions due to the presence of hard-to-reach populations, conflict, uneven intervention coverage, and human migration. Test-and-treat border posts are an under-researched form of active case detection used to interrupt transmission chains between countries.

methodsAn individual-based, mathematical metapopulation model of Plasmodium falciparum was used to estimate the effectiveness of border screening posts on total cases in malaria-endemic sub-Saharan Africa.

resultsThe implementation of international border posts across 401 sub-national administrative units would avert a median of 7173 (IQR 1075 to 23,550) cases per unit over a 10 year period and reduce PfPR

conclusionsBorder posts were most effective in low-transmission settings with high-transmission neighbours. Border posts alone in sub-Saharan Africa will not allow a country to reach elimination, particularly when considering feasibility and acceptability, but could contribute to broader control packages to targeted populations.

Indexed as

Epidemiological MonitoringMalaria, FalciparumAfrica South of the SaharaHumansModels, TheoreticalPlasmodium falciparumBorder malariaBorder postsMalariaMalaria modellingMathematical modellingPlasmodium falciparumTest-and-treat

Identifiers

PMID40251530
PMCPMC12007230

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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.