Modelling the impact of climate variability on malaria morbidity in the Tamale Metropolitan Area: a time series analysis
Abdul-Ganiu Zakaria, Shamsu-Deen Ziblim, Yakubu Amadu · 2026
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Description
Abdul-Ganiu Zakaria, Shamsu-Deen Ziblim, and Yakubu Amadu model in 2026 how weather patterns relate to malaria illness in Tamale, a metropolitan area of northern Ghana. Seasonal outbreaks strain clinics there, but the separate roles of temperature, rainfall, and humidity over different time horizons were unclear. Monthly records from January 2014 through December 2020 supplied eighty-four observations for a time series analysis.
The model confirmed a stable long-run link between each weather variable and malaria rates. In the short run, rises in humidity, temperature, and rainfall each came with more malaria. Over the long run the temperature effect flipped, with each added degree tied to about a third of a case fewer per thousand residents. The authors back climate-informed early warning systems built for northern Ghana.
Catalog record
| CREATOR | Abdul-Ganiu Zakaria, Shamsu-Deen Ziblim, Yakubu Amadu |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 31703 |
| LICENSE | https://creativecommons.org/licenses/by/4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |