Research Article
Assessment of Three Mathematical Prediction Models for Forecasting the COVID-19 Outbreak in Iran and Turkey
Table 1
Comparison of the three mathematical models for estimating the peak values of confirmed and death cases of COVID-19 in Iran and Turkey.
| Peak of the COVID-19 outbreak | Observed values | Estimated by the recursive-based model | Estimated by the Boltzmann function-based model | Estimated by Beesham’s model |
| (a) Iran | Confirmed cases (30 March 2020) | 3186 | 2857 | 2302 | 1929 | ARE | — | 0.103 | 0.278 | 0.395 | Death cases (5 April 2020) | 158 | 134 | 156 | 108 | ARE | — | 0.152 | 0.015 | 0.314 | (b) Turkey | Confirmed cases (11 April 2020) | 5138 | 4900 | 4225 | 3920 | ARE | — | 0.046 | 0.178 | 0.237 | Death cases (19 April 2020) | 127 | 117 | 130 | 105 | ARE | — | 0.079 | 0.021 | 0.170 |
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