FORECASTING THE COVID-19 USING THE DISCRETE GENERALIZED LOGISTIC MODEL
| العنوان: | FORECASTING THE COVID-19 USING THE DISCRETE GENERALIZED LOGISTIC MODEL |
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| المؤلفون: | ANIS BEN DHAHBI, YASSINE CHARGUI, SALAH BOULAARAS, SEYFEDDINE RAHALI, ABADA MHAMDI |
| المصدر: | Fractals. 30 |
| بيانات النشر: | World Scientific Pub Co Pte Ltd, 2022. |
| سنة النشر: | 2022 |
| مصطلحات موضوعية: | Applied Mathematics, Modeling and Simulation, Geometry and Topology |
| الوصف: | Using mathematical models to describe the dynamics of infectious-diseases transmission in large communities can help epidemiological scientists to understand different factors affecting epidemics as well as health authorities to decide measures effective for infection prevention. In this study, we use a discrete version of the Generalized Logistic Model (GLM) to describe the spread of the coronavirus disease 2019 (COVID-19) pandemic in Saudi Arabia. We assume that we are operating in discrete time so that the model is represented by a first-order difference equation, unlike time-continuous models, which employ differential equations. Using this model, we forecast COVID-19 spread in Saudi Arabia and we show that the short-term predicted number of cumulative cases is in agreement with the confirmed reports. |
| تدمد: | 1793-6543 0218-348X |
| DOI: | 10.1142/s0218348x22402563 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_________::ef18cc218c57089daa3b68eaf8988da0 https://doi.org/10.1142/s0218348x22402563 |
| رقم الانضمام: | edsair.doi...........ef18cc218c57089daa3b68eaf8988da0 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 17936543 0218348X |
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| DOI: | 10.1142/s0218348x22402563 |