Evidence map›Paper›PMID 41413563›Full record

ArticleMalaria journal2025

Fine-scale spatial mapping of urban malaria prevalence for microstratification in an urban area of Ghana.

Samuel Kweku Oppong, David Kwame Dosoo, Nana Yaw Peprah, George Asumah Adu, Wahjib Mohammed, Jennifer Rozier, Kingsley Kayan, Michael McPhail, Punam Amratia, Kefyalew Addis Alene and 3 more

Abstract read
PubMed Full text at PMC Publisher
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 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

13 authors.

Samuel Kweku OppongSchool of Population Health, Curtin University, Kent Street, Bentley, WA, 6012, Australia. sampong1@hotmail.com.
David Kwame DosooResearch and Development Division, Kintampo Health Research Centre, Ghana Health Service, P.O. Box 200, Kintampo, Ghana.
Nana Yaw PeprahNational Malaria Elimination Programme, Ghana Health Service, 2nd Morocco Lane, Off Independence Avenue, Ministerial Area, 233, Accra, Ghana.
George Asumah AduNational Malaria Elimination Programme, Ghana Health Service, 2nd Morocco Lane, Off Independence Avenue, Ministerial Area, 233, Accra, Ghana.
Wahjib MohammedNational Malaria Elimination Programme, Ghana Health Service, 2nd Morocco Lane, Off Independence Avenue, Ministerial Area, 233, Accra, Ghana.
Jennifer RozierMalaria Atlas Project, The Kids Research Institute Australia, Perth Children's Hospital, 15 Hospital Avenue, Nedlands, WA, 6009, Australia.
Kingsley KayanResearch and Development Division, Kintampo Health Research Centre, Ghana Health Service, P.O. Box 200, Kintampo, Ghana.
Michael McPhailMalaria Atlas Project, The Kids Research Institute Australia, Perth Children's Hospital, 15 Hospital Avenue, Nedlands, WA, 6009, Australia.
Punam AmratiaMalaria Atlas Project, The Kids Research Institute Australia, Perth Children's Hospital, 15 Hospital Avenue, Nedlands, WA, 6009, Australia.
Kefyalew Addis AleneSchool of Population Health, Curtin University, Kent Street, Bentley, WA, 6012, Australia.
Kwaku Poku AsanteResearch and Development Division, Kintampo Health Research Centre, Ghana Health Service, P.O. Box 200, Kintampo, Ghana.
Peter W Gething *School of Population Health, Curtin University, Kent Street, Bentley, WA, 6012, Australia.
Keziah L Malm *National Malaria Elimination Programme, Ghana Health Service, 2nd Morocco Lane, Off Independence Avenue, Ministerial Area, 233, Accra, Ghana.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMalaria is a focal disease and more localized in low endemic areas. The disease is increasingly becoming a concern in urban areas in most sub-Saharan African countries. The growing threats of Anopheles stephensi and insecticide resistance magnify this concern and hamper elimination efforts. It is, therefore, imperative to identify areas, within urban settings, of high-risk of malaria to help better target interventions.

methodsIn this study, a set of environmental, climatic, and urban covariates were combined with observed data from a malaria prevalence study in Ghana and geospatial methods used to predict malaria risk in the Greater Accra Region of Ghana. Georeferenced data from 12,371 surveyed children aged between 6 months and 10 years were included in the analysis. The probability of malaria prevalence exceeding 10% (exceedance probability) in the Region was further calculated.

resultsPredicted malaria prevalence in this age group ranged from 0 to 49%. Satellite-driven data on tasselled cap brightness, enhanced vegetation index and a combination of urban covariates were predictive of malaria prevalence in the study region. A map that quantified the probability of malaria prevalence exceeding 10% was produced.

conclusionsThe malaria prevalence and exceedance probability maps showed areas within the districts earmarked for malaria elimination that have high malaria risk. It is anticipated that this study results can support decision making at both national and subnational levels on deployment of strategic malaria interventions.

Indexed as

MalariaChildChild, PreschoolFemaleGhanaHumansInfantMalePrevalenceSpatial AnalysisUrban PopulationBayesianGeospatialMalariaPrevalenceStratificationUrban

Identifiers

PMID41413563
PMCPMC12829291

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.