Identifying and predicting climate change impact on vector-borne disease using machine learning: Case study of <em>Plasmodium falciparum</em> from Africa

Singh, Priyanka; Saran, Sameer

doi:https://doi.org/10.5194/isprs-archives-XLVIII-2-2024-387-2024

Articles | Volume XLVIII-2-2024

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Articles | Volume XLVIII-2-2024

https://doi.org/10.5194/isprs-archives-XLVIII-2-2024-387-2024

Articles | Volume XLVIII-2-2024

Article
Metrics
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11 Jun 2024

| 11 Jun 2024

Identifying and predicting climate change impact on vector-borne disease using machine learning: Case study of Plasmodium falciparum from Africa

Priyanka Singh and Sameer Saran

Priyanka Singh

UPES, School of Computer Science, Dehradun-248007, Uttarakhand, India

Sameer Saran

Regional Remote Sensing Center-North, ISRO, Dept. of Space, New Delhi- 110049, India

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Identifying and predicting climate change impact on vector-borne disease using machine learning: Case study of Plasmodium falciparum from Africa

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