Modelling the effects of climate and human factor on Lassa fever distribution in Ondo State Nigeria

Lassa fever is an acute viral haemorrhagic disease caused by the Lassa virus. Transmission to humans primarily occurs through direct contact with Mastomys rats or via the ingestion of food or usage of household items contaminated with the urine or faeces of infected rats. The MaxEnt algorithm was used to estimate the distribution of Lassa fever based on data on the incidence of the disease, ecogeographic features, and human factors. Principal component analysis (PCA) was used to mitigate multicollinearity among the environmental variables. The model's accuracy was evaluated using the area under the receiver operating characteristic curve (AUC-ROC). The prevalence of Lassa fever is anticipated to be substantially affected by human factors (population density, roads, built-settlement, poverty), climatic variables (Prec11, Tmean01, Bio7, Bio12), and altitude. The model distribution map revealed that Owo, Ose, Akure North, Akure South, Akoko South-West, Akoko South-East, Akoko North-East, Ifedore, Idanre, Ondo, and Akoko North-West are very suitable regions. Our suitability map identifies hotspots, aiding public health officials in resource distribution to mitigate the current Lassa fever epidemic in Ondo State, Nigeria.

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Publication Details

Journal
International Journal of Biometeorology
Published
2025-08-11
DOI
https://doi.org/10.1007/s00484-025-02996-3
Citations
1
Primary Topic
Viral Infections and Outbreaks Research
Type
article
Field-Weighted Citation Impact
1.40
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article

Modelling the effects of climate and human factor on Lassa fever distribution in Ondo State Nigeria

Adekunle A. Dosumu, Josephine Omowumi Olayinka-Olagunju, Temitope Emmanuel Arotolu
1 citations
International Journal of Biometeorology
Viral Infections and Outbreaks Research
1.40
article

Modelling the effects of climate and human factor on Lassa fever distribution in Ondo State Nigeria

Adekunle A. Dosumu, Josephine Omowumi Olayinka-Olagunju, Temitope Emmanuel Arotolu
article en
1 citations

Abstract

Lassa fever is an acute viral haemorrhagic disease caused by the Lassa virus. Transmission to humans primarily occurs through direct contact with Mastomys rats or via the ingestion of food or usage of household items contaminated with the urine or faeces of infected rats. The MaxEnt algorithm was used to estimate the distribution of Lassa fever based on data on the incidence of the disease, ecogeographic features, and human factors. Principal component analysis (PCA) was used to mitigate multicollinearity among the environmental variables. The model's accuracy was evaluated using the area under the receiver operating characteristic curve (AUC-ROC). The prevalence of Lassa fever is anticipated to be substantially affected by human factors (population density, roads, built-settlement, poverty), climatic variables (Prec11, Tmean01, Bio7, Bio12), and altitude. The model distribution map revealed that Owo, Ose, Akure North, Akure South, Akoko South-West, Akoko South-East, Akoko North-East, Ifedore, Idanre, Ondo, and Akoko North-West are very suitable regions. Our suitability map identifies hotspots, aiding public health officials in resource distribution to mitigate the current Lassa fever epidemic in Ondo State, Nigeria.

International Journal of BiometeorologyVol. 69(10)
Adekunle Ajasin University (NG), Northeast Forestry University (CN), Nottingham Trent University (GB)
No poverty
Openalex Percentile: Top 17%
Viral Infections and Outbreaks Research
1.40
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Modelling the effects of climate and human factor on Lassa fever distribution in Ondo State Nigeria — Adekunle A. Dosumu, Josephine Omowumi Olayinka-Olagunju, et al. · International Journal of Biometeorology (2025) | TGRS Research Map | TGRS