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A combined model for COVID-19 pandemic control: The application of Haddon's matrix and community risk reduction tools combined.
Khan, Anas; Almuzaini, Yasir; Aburas, Alhanouf; Alharbi, Naif Khalaf; Alghnam, Suliman; Al-Tawfiq, Jaffar A; Alahmari, Ahmed; Alsofayan, Yousef Mohammad; Alamri, Fahad; Garout, Mohammed A; Assiri, Abdullah M; Jokhdar, Hani A.
  • Khan A; Department of Emergency Medicine, College of Medicine, King Saud University, Riyadh, Saudi Arabia; The Global Centre for Mass Gatherings Medicine, Ministry of Health, Riyadh, Saudi Arabia.
  • Almuzaini Y; The Global Centre for Mass Gatherings Medicine, Ministry of Health, Riyadh, Saudi Arabia. Electronic address: Almuzaini.yasir1@gmail.com.
  • Aburas A; The Global Centre for Mass Gatherings Medicine, Ministry of Health, Riyadh, Saudi Arabia.
  • Alharbi NK; Vaccine Development Unit, Department of Infectious Disease Research, King Abdullah, International Medical Research Center (KAIMRC), 11481 Riyadh, Saudi Arabia; King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia.
  • Alghnam S; King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia; King Abdullah International Medical Research Center (KAIMRC), Saudi Arabia.
  • Al-Tawfiq JA; Infectious Disease Division, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Specialty Internal Medicine and Quality Department, Johns Hopkins Aramco Healthcare, Dhahran, Saudi Arabia; Infectious Disease Division, Department of Medicine, Indiana University Sc
  • Alahmari A; The Global Centre for Mass Gatherings Medicine, Ministry of Health, Riyadh, Saudi Arabia.
  • Alsofayan YM; The Saudi Red Crescent Authority, Riyadh, Saudi Arabia.
  • Alamri F; The Global Centre for Mass Gatherings Medicine, Ministry of Health, Riyadh, Saudi Arabia.
  • Garout MA; Associate Professor of Community Medicine, Department of Community Medicine and Health Care for Pilgrims, Saudi Arabia.
  • Assiri AM; Public Health Directorate, Ministry of Health, Riyadh, Saudi Arabia.
  • Jokhdar HA; Deputyship of Public Health, Ministry of Health, Saudi Arabia.
J Infect Public Health ; 15(2): 261-269, 2022 Feb.
Article in English | MEDLINE | ID: covidwho-1620857
ABSTRACT

INTRODUCTION:

To mitigate morbidity, mortality, and impacts of COVID-19 on health, it was essential to implement a comprehensive framework for COVID-19 control and prevention. A well-recognized tool from the field of injury prevention known as the Haddon matrix was utilized. The matrix states that any accident is affected by the host, agent, and environment. Another well-recognized tool used by the national fire protection association known as the Community risk reduction tool (CRR). The (CRR) tool utilizes the Five E's of Community Risk Reduction. AIM OF THE STUDY To describe the risk factors that increase the susceptibility and the severity of COVID-19 infection based on the Haddon matrix and the proposed prevention strategies by the CRR tool by using the combined model.

METHODOLOGY:

We reviewed the literature to assess known factors contributing to COVID-19 susceptibility, infection, and severity of infection. We then used the Haddon matrix to structure, separating human factors from technical and environmental details and timing. We then used the community risk reduction (CRR) model to set all responses and control measures for each element obtained from the Haddon matrix tool. Subsequently, we incorporated both tools to develop the combined model.

CONCLUSION:

we proposed and implemented a combined model that utilizes the CRR model as the systematic strategy for the more theoretical framework of Haddon's matrix. Combining both models was practical and helpful in planning the preparedness and control of the COVID-19 pandemic in Saudi Arabia that can be generalized to national and international levels.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Etiology study / Prognostic study / Risk factors Limits: Humans Language: English Journal: J Infect Public Health Journal subject: Communicable Diseases / Public Health Year: 2022 Document Type: Article Affiliation country: J.jiph.2022.01.006

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Etiology study / Prognostic study / Risk factors Limits: Humans Language: English Journal: J Infect Public Health Journal subject: Communicable Diseases / Public Health Year: 2022 Document Type: Article Affiliation country: J.jiph.2022.01.006