“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 modeling 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.
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