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Species specific delayed and non-linear effects of climatic factors on weekly Plasmodium falciparum and Plasmodium vivax cases in Adami Tullu District, Central Rift Valley, Ethiopia: A distributed lag non-linear model study, 2015–2024

This study utilizes a distributed lag non-linear model to demonstrate that rainfall, temperature, and relative humidity exert distinct, species-specific, and non-linear delayed effects on weekly *Plasmodium vivax* and *Plasmodium falciparum* malaria transmission in Ethiopia's Adami Tullu District, highlighting the necessity for tailored climate-based early warning systems.

Original authors: Tsegaye Berkessa, Henok Tadesse, Tadesse Kebede, Girmaye Medhin, Adamu Tayachew, Zemene Worku, Mandefro Kebede, Mesfin Wossen, Melkamu Abte, Abebe Animut

Published 2026-09-17
📖 4 min read☕ Coffee break read

Original authors: Tsegaye Berkessa, Henok Tadesse, Tadesse Kebede, Girmaye Medhin, Adamu Tayachew, Zemene Worku, Mandefro Kebede, Mesfin Wossen, Melkamu Abte, Abebe Animut

Original paper licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). ✨ This is an AI-generated explanation of the paper below. It is not written or endorsed by the authors. For technical accuracy, refer to the original paper. Read full disclaimer

Malaria is a disease that thrives on a delicate balance of weather. It is not just about the presence of mosquitoes, but about the specific conditions that allow those mosquitoes to survive long enough to carry the parasite and pass it to humans. Rainfall fills the puddles where mosquito larvae grow, while temperature dictates how quickly the parasite matures inside the mosquito. Humidity keeps the adult insects from drying out. For decades, scientists have known that these climate factors drive malaria outbreaks, but the relationship is rarely simple. The effects are often delayed; a heavy rain today might not cause a spike in sickness for weeks, and the impact of temperature can vary depending on the specific type of malaria parasite involved. Understanding these hidden time lags and the different needs of the various parasites is crucial for predicting outbreaks before they happen, allowing health workers to intervene at the right moment.

In the Adami Tullu Jido Kombolcha District of Ethiopia's Central Rift Valley, researchers set out to untangle these complex connections. They focused on two distinct types of malaria parasites: Plasmodium vivax and Plasmodium falciparum. While both cause the same general illness, they behave differently biologically. The team analyzed a decade of weekly data, from 2015 to 2024, tracking thousands of reported cases alongside daily records of rainfall, temperature, and humidity. Instead of looking for simple, immediate links, they used a sophisticated statistical approach designed to find patterns that unfold over time. This method allowed them to see how weather conditions from weeks or even months prior influenced the number of new infections reported in any given week.

The study revealed that the two parasites respond to the weather in strikingly different ways, almost as if they are listening to different parts of the climate forecast. For Plasmodium vivax, rainfall was a clear trigger. When the district received significant rain, specifically around 28.4 millimeters in a week, the risk of new vivax cases began to climb about five weeks later. This risk continued to rise, peaking at the sixth week after the rain, before gradually fading. This delay makes biological sense: the rain creates breeding sites, the mosquito population grows, the parasite develops inside the mosquito, and only then do humans start getting sick. Interestingly, for this specific parasite, higher humidity actually lowered the risk of infection, a finding that suggests vivax might rely more on the fresh water pools created by rain than on the steady moisture in the air.

In contrast, Plasmodium falciparum played by a different set of rules. Rainfall did not show a significant link to an increase in falciparum cases in this district, suggesting that water alone was not enough to drive this specific type of outbreak. Instead, humidity played a much larger role. When the air was very humid, reaching about 76.5 percent, the risk of falciparum cases surged, but only after a long delay of ten to twelve weeks. This long wait time aligns with the fact that falciparum takes longer to mature inside the mosquito. The high humidity likely helps the mosquitoes survive long enough to complete this lengthy development cycle. Furthermore, warmer minimum temperatures, specifically those reaching 15.1 degrees Celsius, were linked to a decrease in falciparum cases, whereas the same warmth seemed to increase the risk for vivax.

The researchers also observed that the district experienced a significant resurgence of malaria in 2024, with cases far exceeding historical thresholds for an epidemic. The data showed that vivax cases doubled year over year from 2022 to 2024, while falciparum cases jumped fourfold in 2024 alone. The study concludes that treating all malaria as a single entity when planning for weather-related outbreaks is a mistake. Because the two parasites react to rain, temperature, and humidity at different speeds and in opposite directions, health officials need to track them separately. By understanding that rain predicts vivax in six weeks while humidity predicts falciparum in three months, local health systems can time their interventions more precisely, deploying resources exactly when and where they are needed to stop the next wave of infection.

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