Electric Vehicles and Malarial Infections Meta Analysis

Home Electric Vehicles Malarial Infections Resources

My two topic lies at the intersection of the differences between electric vehicles and the socioeconomic burden of malaria. To do my analysis, I'll be particularly focused on their differences in infrastructure and distribution and what the differences between the categories may suggest.
Home is where I will be explaining my meta-analysis. Explore the other links to find a more in-depth anaylsis of each topic and also resources, so you can pursue your own research.

What the malaria data says about income

Burden is overwhelmingly concentrated in low-income countries. In 2023, the WHO African Region accounted for 94% of malaria cases and 95% of malaria deaths, with ~597k deaths globally—most among children under five. COVID-19 disruptions caused the first rise in malaria death rates in 20 years, an increase largely concentrated in Africa—where ~95% of deaths occur—underscoring how fragile health access is in low-income settings. Long-run burden measures (e.g., DALYs) consistently show malaria tracking with low GDP per capita and weak health systems.

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What current EV data says about income

EV adoption is concentrated in high-income markets (China, Europe, US). The IEA’s 2025 outlook shows rapid global growth but very limited penetration in Africa, mirroring income and infrastructure gaps (charging availability, grid reliability). Access disparities within countries: lower-income US households have less access to public charging; flat-rate subsidies tend to underserve them.

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Putting it Together

High malaria burden seems to mean low EV uptake via the common denominators of countries with low income/weak infrastructure. Expect a negative association if you plot malaria DALYs per capita vs. EV share by country (Africa would anchor high malaria/low EV). This is a structural association, not causation.
In malaria, focusing on high-risk districts, children and seasonal windows is most effective. World Health Organization In EVs, focusing on charging in low-income/multi-unit areas + targeted rebates improves equity outcomes more than uniform subsidies.
Reliable electricity enables better malaria prevention and care (lighting, diagnostics, cold chain, data systems). Those same upgrades are prerequisites for public charging and even fleet electrification like health-system vehicles, vaccine delivery, and e-motorbikes. Policy packages can co-finance both.