# Hydropower development and malaria transmission: A geospatial econometric study

## TL;DR

This study finds no strong evidence that hydropower projects in Western Africa increase malaria transmission, emphasizing environmental and socio-economic factors instead.

## Contribution

The first large-scale geospatial analysis linking hydropower development to malaria trends in Western Africa.

## Key findings

- Hydropower projects do not significantly increase malaria incidence or prevalence in Ghana, Côte d’Ivoire, or Gabon.
- Environmental and socio-economic factors like urbanization and climate are strongly associated with malaria transmission.
- The study challenges the assumption of a direct causal link between hydropower and malaria.

## Abstract

In Western Africa, the causal relationship between hydropower project implementation and malaria transmission, remains understudied.

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 Plasmodium falciparum cases per person, while prevalence is the parasite rate of P. falciparum in children aged 2–10 years. The analysis focuses on P. falciparum given its severity across West Africa, along with the availability of consistent geospatial data.

The study was conducted in Ghana, Côte d’Ivoire, and Gabon.

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.

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: p = 0.210, prevalence: p = 0.200), Gabon (incidence: p = 0.990, prevalence: p = 0.990), and Ghana (incidence: p = 0.089, prevalence: p = 0.102), indicating no strong causal link at the 5% level. By contrast, environmental and socio-economic variables such as urbanisation, elevation, and climate factors consistently showed strong associations with malaria transmission (p < 0.01).

Hydropower presence alone is not a primary driver of malaria dynamics.

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.