COVID-19 Predictions in Africa using the SIR-Model

Versión 1.2.4 (5.23 MB) por smsinks
Use this code to predict the spread of COVID-19 in Africa or any countries of your choosing
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Actualizado 31 May 2020

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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.

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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. Recuperado .

Compatibilidad con la versión de MATLAB
Se creó con R2020a
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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

Versión Publicado Notas de la versión
1.2.4

Added example to the ReadMe file and to myfitVirusCV19.m

1.1.4

None

1.1.3

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1.1.2

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1.1.1

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1.1.0

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1.0.0