Deep learning hybrid model for analyzing and predicting the impact of imported malaria cases from Africa on the rise of Plasmodium falciparum in China before and during the COVID-19 pandemic

Open Access

Peer-reviewed

Research Article

About the Authors

Eric Kamana

Contributed equally to this work with: Eric Kamana, Jijun Zhao

Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Writing – original draft

Affiliation Complexity Science Institute, Qingdao University, Qingdao, China

Jijun Zhao

Contributed equally to this work with: Eric Kamana, Jijun Zhao

Roles Project administration, Supervision, Writing – review & editing

Affiliation Complexity Science Institute, Qingdao University, Qingdao, China

The authors have declared that no competing interests exist.

Malaria
Is the Subject Area "Malaria" applicable to this article?

Thanks for your feedback.
Plasmodium
Is the Subject Area "Plasmodium" applicable to this article?

Thanks for your feedback.
COVID 19
Is the Subject Area "COVID 19" applicable to this article?

Thanks for your feedback.
Pandemics
Is the Subject Area "Pandemics" applicable to this article?

Thanks for your feedback.
Forecasting
Is the Subject Area "Forecasting" applicable to this article?

Thanks for your feedback.
Deep learning
Is the Subject Area "Deep learning" applicable to this article?

Thanks for your feedback.
Plasmodium falciparum
Is the Subject Area "Plasmodium falciparum" applicable to this article?

Thanks for your feedback.
China
Is the Subject Area "China" applicable to this article?

Thanks for your feedback.