The Assessment of COVID-19 Vulnerability Risk for Crisis Management
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 o...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2022-04-01
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| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/12/8/4090 |
| _version_ | 1797436978869829632 |
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| author | Marek Wyszyński Michał Grudziński Krzysztof Pokonieczny Marek Kaszubowski |
| author_facet | Marek Wyszyński Michał Grudziński Krzysztof Pokonieczny Marek Kaszubowski |
| author_sort | Marek Wyszyński |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-09T11:11:24Z |
| format | Article |
| id | doaj.art-c48846b2d48548ca80aac2dd24631a6e |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-09T11:11:24Z |
| publishDate | 2022-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-c48846b2d48548ca80aac2dd24631a6e2023-12-01T00:45:08ZengMDPI AGApplied Sciences2076-34172022-04-01128409010.3390/app12084090The Assessment of COVID-19 Vulnerability Risk for Crisis ManagementMarek Wyszyński0Michał Grudziński1Krzysztof Pokonieczny2Marek Kaszubowski3Institute of Geospatial Engineering and Geodesy, Faculty of Civil Engineering and Geodesy, Military University of Technology (WAT), 00-908 Warsaw, PolandInstitute of Geospatial Engineering and Geodesy, Faculty of Civil Engineering and Geodesy, Military University of Technology (WAT), 00-908 Warsaw, PolandInstitute of Geospatial Engineering and Geodesy, Faculty of Civil Engineering and Geodesy, Military University of Technology (WAT), 00-908 Warsaw, PolandInstitute of Geospatial Engineering and Geodesy, Faculty of Civil Engineering and Geodesy, Military University of Technology (WAT), 00-908 Warsaw, PolandThe 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.https://www.mdpi.com/2076-3417/12/8/4090risk managementdecision-makingSpatial Multicriteria Analysistemporal analysisvulnerability riskCOVID-19 |
| spellingShingle | Marek Wyszyński Michał Grudziński Krzysztof Pokonieczny Marek Kaszubowski The Assessment of COVID-19 Vulnerability Risk for Crisis Management Applied Sciences risk management decision-making Spatial Multicriteria Analysis temporal analysis vulnerability risk COVID-19 |
| title | The Assessment of COVID-19 Vulnerability Risk for Crisis Management |
| title_full | The Assessment of COVID-19 Vulnerability Risk for Crisis Management |
| title_fullStr | The Assessment of COVID-19 Vulnerability Risk for Crisis Management |
| title_full_unstemmed | The Assessment of COVID-19 Vulnerability Risk for Crisis Management |
| title_short | The Assessment of COVID-19 Vulnerability Risk for Crisis Management |
| title_sort | assessment of covid 19 vulnerability risk for crisis management |
| topic | risk management decision-making Spatial Multicriteria Analysis temporal analysis vulnerability risk COVID-19 |
| url | https://www.mdpi.com/2076-3417/12/8/4090 |
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