Evidence map›Paper›PMID 40695807›Full record

ArticleScientific data2025

Updated fine-scale location data for Blantyre district collected using a low-cost approach.

Chifuniro Baluwa, Patrick Ken Kalonde, Upendo Lisa Mseka, Owen Tsoka, Kingsley Kajanga, Faith Chimphondah, Prince Time Matope Aaron, Francis Chimbalanga, Blessings Chiepa, Clinton Nkolokosa and 5 more

Abstract readDataset
In one paragraph

Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

15 authors.

Chifuniro BaluwaMalawi-Liverpool-Wellcome Research Programme, Chipatala Avenue, Blantyre, Malawi. cbaluwa@mlw.mw.ORCID 0009-0001-3289-4307
Patrick Ken KalondeMalawi-Liverpool-Wellcome Research Programme, Chipatala Avenue, Blantyre, Malawi.ORCID 0000-0001-8747-8557
Upendo Lisa MsekaMalawi-Liverpool-Wellcome Research Programme, Chipatala Avenue, Blantyre, Malawi.
Owen TsokaMalawi-Liverpool-Wellcome Research Programme, Chipatala Avenue, Blantyre, Malawi.
Kingsley KajangaMalawi-Liverpool-Wellcome Research Programme, Chipatala Avenue, Blantyre, Malawi.
Faith ChimphondahMalawi University of Business and Applied Science, Chichiri, Blantyre, Malawi.
Prince Time Matope AaronUniversity of Malawi, Chirunga, Zomba, Malawi.
Francis ChimbalangaQueen Elizabeth Central Hospital, Blantyre, Malawi.
Blessings ChiepaMalawi-Liverpool-Wellcome Research Programme, Chipatala Avenue, Blantyre, Malawi.
Clinton NkolokosaMalawi-Liverpool-Wellcome Research Programme, Chipatala Avenue, Blantyre, Malawi.
Latif NdeketaMalawi-Liverpool-Wellcome Research Programme, Chipatala Avenue, Blantyre, Malawi.
Patrick MusichaMalawi-Liverpool-Wellcome Research Programme, Chipatala Avenue, Blantyre, Malawi.
Kondwani Charles JamboMalawi-Liverpool-Wellcome Research Programme, Chipatala Avenue, Blantyre, Malawi.
Michelle C StantonLiverpool School of Tropical Medicine, Pembroke Place, Liverpool, L3 5QA, United Kingdom.
James ChiromboMalawi-Liverpool-Wellcome Research Programme, Chipatala Avenue, Blantyre, Malawi.ORCID 0000-0003-3132-3710

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Knowing up-to-date geographical location of residential areas is crucial for understanding health-related factors and formulating targeted interventions. However, such data are often unavailable or resource-intensive to collect. This study employed low-cost approaches to map residential areas in Blantyre district, Malawi, which was severely affected by a cholera outbreak that lasted over a year (March 2022 to August 2023). We trained five data collectors using KoBo Toolbox and engaged Health Surveillance Assistants (HSAs) and motorcycle operators for precise location identification. We validated the data by involving key stakeholders from Blantyre District Health Office (DHO) and Malawi-Liverpool-Wellcome Research Programme (MLW). We successfully mapped 764 locations, demonstrating the effectiveness in rapidly mapping both residential and hard-to-reach areas. Associated costs were calculated based on MLW standard rates. This process highlighted the critical importance of accurate geolocation for public health research and interventions. Our study provides valuable spatial data and showcases the feasibility of cost-effective methods for gathering crucial public health information in resource-limited settings, potentially serving as a model for similar efforts globally.

Indexed as

CholeraData CollectionDisease OutbreaksHumansMalawi

Identifiers

PMID40695807
PMCPMC12284096

What OpenQuestion holds

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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.