Hydropower development and malaria transmission: A geospatial econometric study.

J Public Health Afr · 2025 · PMC12587189 · PMID 41200524

Europe PMC DOI

hedged sentences

0.0577

closest p · 1.2× alpha

0.0577

boldest claim

The sentences

weakly significantp = 0.057669so close (0.05 < p ≤ 0.1)

In Côte d’Ivoire, temperature has a positive but weakly significant relationship with malaria prevalence ( β = 0.09376, p = 0.057669) and malaria incidence ( β = 0.04635, p = 0.088094).

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highly significantno p-value reported

In Gabon, the impact is even stronger, with malaria incidence ( β = –0.0022535, p = 0.000127) and prevalence ( β = –0.0024834, p = 0.000825) both showing highly significant negative correlations.

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