Evidence map›Paper›PMID 41200524›Full record

ArticleJournal of public health in Africa2025

Hydropower development and malaria transmission: A geospatial econometric study.

Callum J Thomas

Abstract read
In one paragraph

Article in Journal of public health in Africa, 2025. 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.

Callum J ThomasDepartment of International Relations, Peking University, Beijing, China.ORCID https://orcid.org/0009-0003-5857-2415

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: In Western Africa, the causal relationship between hydropower project implementation and malaria transmission, remains understudied. Aim: This study assesses whether a causal correlation exists between hydropower development and malaria transmission outcomes across locally affected communities, using malaria incidence and prevalence as key indicators. Malaria incidence is measured as the number of clinical Setting: The study was conducted in Ghana, Côte d'Ivoire, and Gabon. Methods: Utilising multivariate Difference-in-Differences (DiD) regression models and geospatial analysis across pre- and post-dam periods, this study evaluates malaria outcomes within 15 km of hydropower sites. Results: The DiD estimator (Treatment_Post variable) suggests no statistically significant increase in malaria transmission following hydropower project implementation. Estimated effects are insignificant in Côte d'Ivoire (incidence: Conclusion: Hydropower presence alone is not a primary driver of malaria dynamics. Contribution: This study provides the first large-scale geospatial analysis of malaria trends across hydropower projects in Western Africa, challenging traditional assumptions of a direct causal link and highlighting the need for interventions shaped by environmental and socio-economic factors.

Indexed as

difference-in-differencesgeographic information systemsGIShydrodamsmalaria incidencemalaria prevalenceregression modelling

Identifiers

PMID41200524
PMCPMC12587189

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.