The Assessment of COVID-19 Vulnerability Risk for Crisis Management

Abstract

The subject of this article is to determine COVID-19 vulnerability risk and its change over time in association with the state health care system, turnover, and transport to support the crisis management decision-making process. The aim was to determine the COVID-19 Vulnerability Index (CVI) based on the selected criteria. The risk assessment was carried out with methodology that includes the application of multicriteria analysis and spatiotemporal aspect of available data. Particularly the Spatial Multicriteria Analysis (SMCA) compliant with the Analytical Hierarchy Process (AHP), which incorporated selected population and environmental criteria were used to analyse the ongoing pandemic situation. The influence of combining several factors in the pandemic situation analysis was illustrated. Furthermore, the static and dynamic factors to COVID-19 vulnerability risk were determined to prevent and control the spread of COVID-19 at the early stage of the pandemic situation. As a result, areas with a certain level of risk in different periods of time were determined. Furthermore, the number of people exposed to COVID-19 vulnerability risk in time was presented. These results can support the decision-making process by showing the area where preventive actions should be considered.

The COVID-19 Pandemic Response and Its Impact on Post-Corona Health Emergency and Disaster Risk Management in Türkiye

“…Furthermore, COVID-19 patients face serious risks of vulnerability, including stigmatisation, from the beginning of the disease process to during and after their treatment by the healthcare system [86,87]. Similarly, the greatest risk of death in COVID-19, reflecting vulnerability, was among patients with chronic diseases and healthcare workers.…”

“…Various psychological and social support and rehabilitation mechanisms/activities were implemented, especially for the elderly, children and vulnerable groups affected by the outbreak [94]. In addition to practices in the health sector, changes were also made in areas as diverse as education, the economy, working life, the environment, social life and risk management [86].…”

Nghiên cứu xây dựng Web-GIS công bố bản đồ nguy cơ lây nhiễm dịch bệnh COVID-19 trên địa bàn thành phố Hà Nội

“…Ngoài ra, để xác định các khu vực có khả năng dễ bị tổn thương do lây nhiễm COVID-19, có thể hỗ trợ các tổ chức chính phủ duy trì việc quản lý dịch bệnh và ngăn chặn sự lây lan của nó, [19] đã tạo ra bản đồ về tình trạng dễ bị tổn thương của COVID-19 ở Tây Bengal, Ấn Độ thông qua nền tảng GIS và một phương pháp MCDM mờ tích hợp. Mặt khác, phương pháp này cũng được áp dụng trong việc xây dựng mô hình xác định các chỉ số nhạy cảm COVID-19 ở Trung Quốc [20], đánh giá mức độ tổn thương do COVID-19 [21], xác định các chỉ số nhạy cảm COVID-19 do yếu tố xã hội gây nên ở Iran [22], thiết lập bản đồ mức độ nhạy cảm với COVID-19 [23].…”

The COVID-19 Pandemic Response and Its Impact on Post-corona Health Emergency and Disaster Risk Management in Türkiye

“…Third, COVID-19 patients face serious risks of vulnerability, including stigmatisation, from the beginning of the disease process, during and after treatment by healthcare systems and society [86,87]. Similarly, the greatest risk of death in COVID-19, highlighting vulnerability, was among the patients with chronic diseases and healthcare workers.…”

“…Various psychological and social support and rehabilitation mechanisms/activities were implemented, especially for the elderly, children and vulnerable groups affected by the outbreak [94]. In addition to practices in the health sector, changes have also taken place in areas as diverse as education, the economy, working life, the environment, social life, and risk management [86].…”