4.6 Article

Integrating Risk Assessment and Decision-Making Methods in Analyzing the Dynamics of COVID-19 Epidemics in Davao City, Mindanao Island, Philippines

Journal

RISK ANALYSIS
Volume 42, Issue 1, Pages 105-125

Publisher

WILEY
DOI: 10.1111/risa.13779

Keywords

AHP; bow-tie; compartmental modeling; coronavirus; COVID-19; risk assessment

Funding

  1. Department of Science and Technology-Philippine Council for Health Research and Development (DOST-PCHRD), through the PPASTOL research project under the Niche Center in the Regions for RD (NICER) Program on Decision Support Systems in Health, University o
  2. Malayan Colleges Mindanao-A Mapua School
  3. Department of Science and Technology-Philippine Council for Health Research and Development (DOST-PCHRD), through the RESILIEMC research project under the Niche Center in the Regions for RD (NICER) Program on Decision Support Systems in Health, University

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This study introduced a method that integrates risk management tools into healthcare decision-making processes, focusing on controlling and managing the associated risk factors of COVID-19. It involves identifying key risk factors through bow-tie diagrams, evaluating safety controls for each risk factor, and prioritizing COVID-19 risks and interventions using the analytic hierarchy process. The results emphasize reducing COVID-19 fatalities as a top priority for health authorities and suggest that prioritizing fatalities can lead to controlling and eliminating COVID-19 contagion in Davao city within three months.
The COVID-19 pandemic has become a public health crisis in the Philippines and the attention of national and local health authorities is focused on managing the fluctuating COVID-19 cases. This study presents a method that integrates risk management tools into health care decision-making processes to enhance the understanding and utilization of risk-based thinking in public health decision making. The risk assessment consists of the identification of the key risk factors of the COVID-19 contagion via bow-tie diagrams. Second, the safety controls for each risk factor relevant to the Davao City context are taken into account and are identified as barriers in the bow-tie. After which, the prioritization of the identified COVID-19 risks, as well as the effectiveness of the proposed interventions, is performed using the analytic hierarchy process. Consequently, the dynamics of COVID-19 management initiatives were explored using these priorities and a system of ordinary differential equations. Our results show that reducing the number of COVID-19 fatalities should be the top priority of the health authorities. In turn, we predict that the COVID-19 contagion can be controlled and eliminated in Davao city in three-month time after prioritizing the fatalities. In order to reduce the COVID-19 fatalities, health authorities should ensure an adequate number of COVID-ready ICU facilities. The general public, on the other hand, should follow medical and science-based advice and suspected and confirmed COVID-19 patients should strictly follow isolation protocols. Overall, an informed decision-making is necessary to avoid the unwanted consequences of an uncontrolled contagion.

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