COVID-19 Predictions in Africa using the SIR-Model
Predict the spread of COVID-19 positive cases in Africa or any group of countries of your choice. The code is a modification of that by Batista (https://www.mathworks.com/matlabcentral/fileexchange/74658-fitviruscovid19?s_tid=prof_contriblnk). The major difference is the myfitVirusCV19.m function has two outputs. 1) the model prediction statistics and 2) the daily COVID-19 cases predicted using the SIR model and an interpolation algorithm.
Citation pour cette source
smsinks (2024). COVID-19 Predictions in Africa using the SIR-Model (https://www.mathworks.com/matlabcentral/fileexchange/76435-covid-19-predictions-in-africa-using-the-sir-model), MATLAB Central File Exchange. Récupéré le .
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COVID-19 Sinkala
COVID-19 Sinkala/fitVirusCV19_v07_v18
COVID-19 Sinkala/fitVirusCV19_v07_v18/CV19 Batista
COVID-19 Sinkala/fitVirusCV19_v07_v18/PLA
COVID-19 Sinkala/fitVirusCV19_v07_v18/data
COVID-19 Sinkala/fitVirusCV19_v07_v18/report
Version | Publié le | Notes de version | |
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1.2.4 | Added example to the ReadMe file and to myfitVirusCV19.m |
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1.1.4 | None |
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1.1.3 | None |
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1.1.2 | None |
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1.1.1 | None |
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1.1.0 | None |
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1.0.0 |