Prevalence of COVID-19 in Al Qassim Province, Saudi Arabia: A Sociodemographic Analysis

Authors

  • Wafa Ali Emergency Department, King Fahd Medical City, Riyadh, Saudi Arabia.
  • Amal Alqufly Emergency Department, King Fahd Medical City, Riyadh, Saudi Arabia.
  • Ibrahim Aljabr Unaizah College of Medicine, Qassim University
  • Sharafaldeen Bin Nafisah Emergency Department, King Fahd Medical City, Riyadh, Saudi Arabia.

DOI:

https://doi.org/10.52609/jmlph.v1i2.16

Abstract

BACKGROUND: The resurgence of COVID-19 cases in Saudi Arabia, despite ongoing control measures, warrants further analysis.

AIM: We aimed to investigate the prevalence and sociodemographic risk factors of COVID-19 in Al Qassim Province, Saudi Arabia. We explored perceptions toward vaccination, social isolation and community adherence to social distancing measures.

METHODS: We collected data reported by the Weqaya, Saudi Centre for Disease Prevention and Control, and conducted a cross-sectional study within the province.

RESULTS: Up to 9 May 2021, 15 497 positive cases were detected, comprising a prevalence of 1.46%. Uyun Al-Jiwa and Riyadh Al-Khabra had the highest infection rate. Our sample of 511 participants revealed an exposure rate of 52.1% (n=266) with no specific sociodemographic risk factor. Self-isolation following exposure to a confirmed or probable case occurred less among older age groups and married participants, and was not influenced by the presence of underlying chronic diseases. The majority of participants perceived community compliance with social distancing measures to fall within the ‘sometimes’ category. Finally, the vaccination acceptance rate was 72.6% (n=371).

CONCLUSION: The findings of the current study emphasise the need to adopt further measures to encourage adherence to social distancing and self-isolation, especially among vulnerable groups.

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Published

2021-06-01

How to Cite

Ali, W., Alqufly, A., Aljabr, I., & Bin Nafisah, S. . (2021). Prevalence of COVID-19 in Al Qassim Province, Saudi Arabia: A Sociodemographic Analysis. The Journal of Medicine, Law & Public Health, 1(2), 33–36. https://doi.org/10.52609/jmlph.v1i2.16

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