Remote Sensing-Derived Environmental Variables to Estimate Transmission Risk and Predict Malaria Cases in Argentina: A Pre-Certification Study (1986–2005)

Early warning systems rely on statistical prediction models, with environmental risks and remote sensing data serving as essential sources of information for their development. The present work is focused on the use of remote sensing for the estimation of transmission risk and the prediction of mala...

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書誌詳細

出版年:	Pathogens
主要な著者:	Ana C. Cuéllar, Roberto D. Coello-Peralta, Davis Calle-Atariguana, Martha Palacios-Macias, Paul L. Duque, Liliana M. Galindo, Mario O. Zaidenberg, María J. Dantur-Juri
フォーマット:	論文
言語:	英語
出版事項:	MDPI AG 2025-05-01
主題:	malaria predictive models satellite images ARIMA temporal series disease prevention
オンライン･アクセス:	https://www.mdpi.com/2076-0817/14/5/448