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• W3100293673 abstract "Abstract World Health Organization recognized COVID‐19 as a pandemic on March 11, 2020. A total of 213 countries and territories around the world have reported a total of 27,948,441 confirmed cases as on September 9, 2020. This article adopted two non‐linear growth models (Gompertz, Verhulst) and exponential model (SIR) to analyse the coronavirus pandemic across the world. All the models have been used for active COVID‐19 patients predictions based on the data collected from John Hopkins University repository in the time period of January 30, 2020 to June 4, 2020. Outbreak of COVID‐19 disease has been analysed for India, Pakistan, Myanmar (Burma), Brazil, Italy and Germany till June 4, 2020 and predictions have been made for the number of positive cases for the next 28 days. Verhulst model fitting effect is better than Gompertz and SIR model with R ‐score 0.9973. The proposed model perform better as compare to other three existing models with R ‐score 0.9981.These above models can be adapted to forecast in long term intervals, based on the predictions for a short interval as of June 5, 2020 and June 30, 2020, active COVID‐19 patients for India, Pakistan, Italy, Germany, Brazil and Myanmar predicted as (236,170, 88,998, 234,066, 184,922, 645,057 and 235) and (486,357, 218,864, 240,545, 193,727, 1,211,567 and 309)." @default.
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• W3100293673 date "2020-11-09" @default.
• W3100293673 modified "2023-09-29" @default.
• W3100293673 title "Prediction of <scp>COVID</scp>‐19 active cases using exponential and non‐linear growth models" @default.
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• W3100293673 doi "https://doi.org/10.1111/exsy.12648" @default.
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