Short-term real-time prediction of total number of reported COVID-19 cases and deaths in South Africa: a data driven approach

Short-term real-time prediction of total number of reported COVID-19 cases and deaths in South Africa: a data driven approach

Abstract Background The rising burden of the ongoing COVID-19 epidemic in South Africa has motivated the application of modeling strategies to predict the COVID-19 cases and deaths. Reliable and accurate short and long-term forecasts of COVID-19 cases and deaths, both at the national and provincial...

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Bibliographic Details
Main Authors: Tarylee Reddy, Ziv Shkedy, Charl Janse van Rensburg, Henry Mwambi, Pravesh Debba, Khangelani Zuma, Samuel Manda
Format: Article
Language:English
Published: BMC 2021-01-01
Series:BMC Medical Research Methodology
Subjects:
Phenomenological models
COVID-19
Prediction
Richards model
Logistic growth model
Online Access:https://doi.org/10.1186/s12874-020-01165-x

Internet

https://doi.org/10.1186/s12874-020-01165-x

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