Evidence map›Paper›PMID 41377769›Full record

ArticleHealth science reports2025

Mapping Malaria Susceptibility in the Oti Region of Ghana Using Remote Sensing and GIS: A Retrospective Observational Study.

George Okyere, Arnold Abakah, Alexander Kwarteng, Efiba Vidda Senkyire Kwarteng

Abstract read
In one paragraph

Article in Health science reports, 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

4 authors.

George OkyereDepartment of Geomatic Engineering Kwame Nkrumah University of Science and Technology Kumasi Ghana.
Arnold AbakahKumasi Centre for Collaborative Research in Tropical Medicine Kwame Nkrumah University of Science and Technology Kumasi Ghana.ORCID https://orcid.org/0009-0000-4163-7612
Alexander KwartengKumasi Centre for Collaborative Research in Tropical Medicine Kwame Nkrumah University of Science and Technology Kumasi Ghana.
Efiba Vidda Senkyire KwartengDepartment of Geomatic Engineering Kwame Nkrumah University of Science and Technology Kumasi Ghana.ORCID https://orcid.org/0000-0001-7562-9063

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Malaria remains a major public health challenge in Ghana, with the entire population at risk of infection. Although the national prevalence has declined in recent years, malaria continues to cause significant morbidity and mortality. Aim: This retrospective observational study aimed to map malaria risk zones in the Oti Region using environmental factors. Methods: Malaria incidence and hotspots were analyzed using the Getis-Ord Gi* statistic in Esri ArcMap. Environmental factors influencing Results: Malaria cases were unevenly distributed across the Oti Region, with Krachi East and Nkwanta South identified as persistent hotspots for malaria. These regions reported 91,376 and 73,592 cases, respectively, over 3 years. Furthermore, elevation (with feature importance, 27.60%), land surface temperature (LST) (from 22°C to 32°C) (25.48%), normalized difference vegetation index (NDVI) (23.12%), and distance to rivers (20.00%) were the significant environmental factors affecting mosquito breeding and, consequently, malaria susceptibility within the study area. Conclusion: These findings provide valuable insights for guiding targeted control efforts and resource allocation in the Oti Region, focusing on addressing the identified environmental risk factors to mitigate malaria transmission in the area.

Indexed as

GISmalariamalaria hotspotsOti regionremote sensingrisk mapping

Identifiers

PMID41377769
PMCPMC12685756

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.