Outsmarting Climate Linked Diseases With Data Science
To study these complicated patterns between diseases and climate change, scientists are increasingly using advanced data science tools.
“Data science” may seem far removed from everyday life of an ordinary African yet as climate change fuels the spread of diseases, it is becoming essential to safeguarding health across the continent.
That is what we learn from a scooping review published in npj Health Systems, which examined how scientists are using data science tools to track the health impacts of rising temperatures, changing rainfall patterns and extreme weather.
The researchers found that most studies focused on infectious diseases. “The review of 100 studies… revealed a strong concentration on communicable diseases, particularly malaria, which was the most frequently studied vector-borne disease,” the authors wrote.
Malaria showed a clear link to climate conditions. “Warmer and wetter conditions were consistently linked to increased malaria incidence,” the study found. In simple terms, when temperatures rise and rainfall increases, malaria cases often go up.
Other infectious diseases are also affected by climate changes. The review found that “diarrheal diseases, cholera, and respiratory illnesses such as tuberculosis, influenza, and pneumonia also demonstrated sensitivity to climatic variability.”
For example, most cholera studies showed that hot weather followed by heavy rain increases the risk of outbreaks. Tuberculosis cases tend to rise with increasing rainfall and temperature, while influenza spreads more easily in cooler temperatures with high humidity.
But climate change is not only linked to infectious diseases. The study also found connections between climate factors and non-communicable diseases, such as heart conditions and malnutrition. According to the authors, “Non-communicable diseases, including cardiovascular conditions, malnutrition, and dermatological disorders, were likewise associated with elevated temperatures, rainfall extremes, and heatwaves.”
The research highlights how complex these links can be. Climate change can expose people to several environmental risks at once–including extreme heat, air pollution, and water shortages–all of which can affect health.
To study these complicated patterns, scientists are increasingly using advanced data science tools. The review found that most studies relied on modern modelling methods, including spatial mapping and advanced statistical techniques. These tools help researchers analyse large amounts of climate and health data to identify patterns and predict risks.
“Data science provides the tools needed to study interactions between complex datasets and understand how they affect health outcomes,” the authors said.
However, the study also identified major gaps. Despite the growing number of studies, “relatively few studies translated findings into actionable solutions.” While some researchers suggested improving early warning systems for climate-sensitive diseases like malaria and cholera, only a small number directly addressed practical public health interventions.
The review also found that much of the research is led and funded by institutions outside Africa. Nearly half of the first authors were based in the United States or Europe, and most funding came from the Northern Hemisphere. The authors said this reflects ongoing challenges in building African-led research capacity.
QUOTE OF THE WEEK
“AI presents an important opportunity to strengthen health systems, but scaling innovation responsibly requires strong evidence,” Dr. Catherine Kyobutungi. Read more.
RESEARCH HIGHLIGHTS
Satellite Exposes Africa’s Pollution Data Gaps: Air pollution levels in several Sub-Saharan African cities and power plants differ sharply from widely used global databases. Using data from the European TROPOMI satellite instrument, researchers measured nitrogen oxide (NOx) emissions from 24 major hotspots, including 21 cities and three coal-fired power plants. The sites collectively emit about 312,000 tonnes of NOx annually, with Lagos recording the highest urban emissions and South African coal plants ranking among the largest single sources. Satellite-based estimates sometimes differed from official inventories by as much as six times. Updating air-quality models with the new data reduced errors by more than half, highlighting the need for independent monitoring to support accurate air quality regulation and public health planning. [Reference, JGR Atmosphere]
Human Activity Shapes Wildlife Patterns in Tanzanian Conservation Area: human presence influences where wild animals live inside a community-managed conservation area in western Tanzania, study says. Researchers conducted the first systematic camera trap survey at Ipole Wildlife Management Area between July and November 2022, recording 49 mammal species. The findings show that mammals were less likely to be found near villages but more commonly detected near roads, walking trails and water sources. While community conservation areas are designed to balance wildlife protection with local livelihoods, the study suggests that everyday human activities still shape animal distribution. [Reference, African Journal of Ecology]
Climate Change and Population Growth Threaten East Africa’s Food Supply: Ethiopia, Kenya, and Uganda could face serious food shortages by 2050 due to rising temperatures and fast population growth. Climate change is expected to reduce crop yields by 13–22% as heat, droughts, floods, and pests damage farms. At the same time, the population in these countries is rapidly increasing, meaning much more food–especially cereals like maize and wheat–will be needed. Even if farming productivity improves slightly, it will not be enough to meet demand. As a result, food deficits could grow sharply, especially in Kenya and Uganda. Without urgent investment in climate-smart agriculture, water management, and better food systems, hunger, malnutrition, and economic strain are likely to worsen. [Reference, Current Environmental Health Reports]
–END–