Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2020:5:766-771.
doi: 10.1016/j.idm.2020.09.006. Epub 2020 Sep 28.

The SARS-CoV-2 pandemic course in Saudi Arabia: A dynamic epidemiological model

Affiliations

The SARS-CoV-2 pandemic course in Saudi Arabia: A dynamic epidemiological model

Abdullah Murhaf Al-Khani et al. Infect Dis Model. 2020.

Abstract

Objective: Saudi Arabia ranks second in the number of coronavirus disease 2019 (COVID-19) cases in the Eastern Mediterranean region. It houses the two most sacred religious places for Muslims: Mecca and Medina. It is important to know what the trend in case numbers will be in the next 4-6 months, especially during the Hajj pilgrimage season.

Methods: Epidemiological data on COVID-19 were obtained from the Saudi Arabian Ministry of Health. A susceptible-exposed-infectious-recovered (SEIR) prediction model was constructed to predict the trend in COVID-19 in Saudi Arabia in the next 6 months.

Findings: The model predicts that the number of active cases will peak by 22 May 2020. The cumulative infected cases are predicted to reach 70,321 at that time. The total number of infected individuals is estimated reach to 114,580 by the end of the pandemic.

Conclusion: Our estimates show that by the time the Hajj season commences in Saudi Arabia, the pandemic will be in the midst of its deceleration phase (phase 3). This information will likely be useful to policymakers in their management of the outbreak.

Keywords: COVID-19, coronavirus disease 2019; DCM, deterministic compartmental model; Epidemiology; Infectious disease; MERS-CoV, Middle East respiratory syndrome coronavirus; Modelling; Outbreaks; R0, basic reproduction number; SARS-CoV 2, severe acute respiratory syndrome coronavirus 2; SEIR, susceptible, exposed, infectious and recovered infectious disease prediction model; SIR, susceptible, infectious and recovered infectious disease prediction model; Surveillance; cfr, mortality proportion among the infected; e.dur, duration of the exposed state; e.num, number of exposed; i.dur, duration of the infectious state; i.num, number of infected; p.num, number of protected; r.num, number of recovered; s.num, number of susceptible.

PubMed Disclaimer

Figures

Fig. 1
Fig. 1
The trend of COVID-19 in Saudi Arabia. Three different models are plotted to predict the growth of cases.
Fig. 2
Fig. 2
The predicted number of actively infected cases in Saudi Arabia according to the KSA-CoV-19 Model. The duration of the Hajj Season is shown in blue.

Similar articles

Cited by

References

    1. Ahmed Q.A., Kattan R.F., Memish Z.A. Hajj 2016: Under the shadow of global Zika spread. American Journal of Infection Control. 2016;44(12):1449–1450. doi: 10.1016/j.ajic.2016.09.002. - DOI - PubMed
    1. Al-Dorzi H.M., Aldawood A.S., Khan R., Baharoon S., Alchin J.D., Matroud A.A. The critical care response to a hospital outbreak of Middle East respiratory syndrome coronavirus (MERS-CoV) infection: An observational study. Annals of Intensive Care. 2016;6(1):101. doi: 10.1186/s13613-016-0203-z. - DOI - PMC - PubMed
    1. Al-Tawfiq J.A., Memish Z.A. COVID-19 in the eastern mediterranean region and Saudi Arabia: Prevention and therapeutic strategies. International Journal of Antimicrobial Agents. 2020:105968. doi: 10.1016/j.ijantimicag.2020.105968. - DOI - PMC - PubMed
    1. Al-Tawfiq J.A., Zumla A., Memish Z.A. Travel implications of emerging coronaviruses: SARS and MERS-CoV. Travel Medicine and Infectious Disease. 2014;12(5):422–428. doi: 10.1016/j.tmaid.2014.06.007. - DOI - PMC - PubMed
    1. Backer J.A., Klinkenberg D., Wallinga J. Incubation period of 2019 novel coronavirus (2019-nCoV) infections among travellers from Wuhan, China, 20-28 January 2020. Euro Surveillance. 2020;25(5) doi: 10.2807/1560-7917.ES.2020.25.5.2000062. - DOI - PMC - PubMed

LinkOut - more resources