Literature DB >> 35028196

A Hybrid Approach Toward COVID-19 Pandemic Modeling in Saudi Arabia Using the Modified Susceptible-Exposed-Infectious-Recovered Model and Open Data Sources.

Naim Ahmad1, Ayman Qahmash1.   

Abstract

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 (R0) value with the current control measures has varied from 0.515 to 1.892, with a mean value of 1.119, and is presently less than 1. The threshold herd immunity, in the absence of any control measure, is estimated to be 47.12% with an R0 value of 1.89 and would end up infecting 76.32% of the population. The scenario analysis with gradual partial and complete relaxations up to December 31, 2021, shows that the peaks are likely to occur in 2022; therefore, Saudi Arabia must continue to inoculate its population to eradicate COVID-19.
Copyright © 2021, Ahmad et al.

Entities:  

Keywords:  basic reproduction number; compartment epidemiology model; control measures; coronavirus disease 2019 (covid-19); infectiousness of exposed and infectious compartments; oxford covid-19 government response tracker (oxcgrt); saudi arabia; susceptible-exposed-infectious-recovered (seir) model; threshold herd immunity

Year:  2021        PMID: 35028196      PMCID: PMC8748003          DOI: 10.7759/cureus.20279

Source DB:  PubMed          Journal:  Cureus        ISSN: 2168-8184


  11 in total

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3.  Temporal dynamics in viral shedding and transmissibility of COVID-19.

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Review 4.  Preparedness and response to COVID-19 in Saudi Arabia: Building on MERS experience.

Authors:  Abdullah A Algaissi; Naif Khalaf Alharbi; Mazen Hassanain; Anwar M Hashem
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7.  On a Statistical Transmission Model in Analysis of the Early Phase of COVID-19 Outbreak.

Authors:  Yifan Zhu; Ying Qing Chen
Journal:  Stat Biosci       Date:  2020-04-02

8.  Transmission dynamics of the COVID-19 outbreak and effectiveness of government interventions: A data-driven analysis.

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9.  Incubation period of 2019 novel coronavirus (2019-nCoV) infections among travellers from Wuhan, China, 20-28 January 2020.

Authors:  Jantien A Backer; Don Klinkenberg; Jacco Wallinga
Journal:  Euro Surveill       Date:  2020-02
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