Predicting the impact of climate change on the re-emergence of malaria cases in China using LSTMSeq2Seq deep learning model: a modelling and prediction analysis study

OBJECTIVES: Malaria is a vector-borne disease that remains a serious public health problem due to its climatic sensitivity. Accurate prediction of malaria re-emergence is very important in taking corresponding effective measures. This study aims to investigate the impact of climatic factors on the r...

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Detalles Bibliográficos
Autores principales: Kamana, Eric, Zhao, Jijun, Bai, Di
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2022
Materias:
Infectious Diseases
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8971767/
https://www.ncbi.nlm.nih.gov/pubmed/35361642
http://dx.doi.org/10.1136/bmjopen-2021-053922

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8971767/
https://www.ncbi.nlm.nih.gov/pubmed/35361642
http://dx.doi.org/10.1136/bmjopen-2021-053922

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