A Hybrid Approach Toward COVID-19 Pandemic Modeling in Saudi Arabia Using the Modified Susceptible-Exposed-Infectious-Recovered Model and Open Data Sources.
Autor: | Ahmad N; Information Systems, King Khalid University, Abha, SAU., Qahmash A; Information Systems, King Khalid University, Abha, SAU. |
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Jazyk: | angličtina |
Zdroj: | Cureus [Cureus] 2021 Dec 08; Vol. 13 (12), pp. e20279. Date of Electronic Publication: 2021 Dec 08 (Print Publication: 2021). |
DOI: | 10.7759/cureus.20279 |
Abstrakt: | The coronavirus disease 2019 (COVID-19) pandemic has caused the world to operate uncharacteristically for almost the last two years. Governments across the globe have taken different control measures to eradicate it. The Oxford COVID-19 Government Response Tracker (OxCGRT) provides open access data for different countries on 20 control measures, including numerous aggregated indices. This paper employs the modified Susceptible-Exposed-Infectious-Recovered (SEIR) epidemiology model to study the COVID-19 pandemic in Saudi Arabia. The modification has been achieved by including control measures and the infectiousness of exposed compartment. A hybrid approach has been used to estimate and incorporate control measures. Initially, a composite control measure has been derived from OxCGRT data to make an attempt to fit the COVID-19 pattern in Saudi Arabia. The derived model has proven to be satisfactory through statistical tests. Nonetheless, the model patterns do not resemble the reported patterns more closely. Hence, a second heuristic approach has been utilized to devise effective control measures from the reported pattern of COVID-19 from the Saudi government agency. A satisfactory model was derived utilizing this approach with successful validation through statistical tests. Also, the model patterns more closely resemble the reported patterns of COVID-19 cases. This hybrid approach proves more robust and ensures the validity of model parameters better. The R naught (R Competing Interests: The authors have declared that no competing interests exist. (Copyright © 2021, Ahmad et al.) |
Databáze: | MEDLINE |
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