CNN-LSTM deep learning based forecasting model for COVID-19 infection cases in Nigeria, South Africa and Botswana
Author:
Publisher
Springer Science and Business Media LLC
Subject
Biomedical Engineering,Applied Microbiology and Biotechnology,Bioengineering,Biotechnology
Link
https://link.springer.com/content/pdf/10.1007/s12553-022-00711-5.pdf
Reference43 articles.
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2. Abdulmajeed K, Adeleke M, Popoola L. Online forecasting of Covid-19 cases in Nigeria using limited data. Data Brief 2020;30 105683. https://doi.org/10.1016/j.dib.2020.105683.
3. Islam M, Mahmud S, Muhammad LJ, et al. Wearable Technology to Assist the Patients Infected with Novel Coronavirus (COVID-19). SN Comput Sci. 2020;1:320. https://doi.org/10.1007/s42979-020-00335-4.
4. Muhammad LJ, Islam MM, Usman SS, et al. Predictive Data Mining Models for Novel Coronavirus (COVID-19) Infected Patients’ Recovery. SN Comput Sci. 2020;1. https://doi.org/10.1007/s42979-020-00216-w
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