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Research on creating spatial analysis models for developing COVID-19 Vulnerability Index Map in Hanoi City

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PL
Badania nad stworzeniem modeli analizy przestrzennej na potrzeby opracowania Mapy Wskaźnika Podatności na Covid-19 w mieście Hanoi
Języki publikacji
EN
Abstrakty
EN
The COVID-19 epidemic is gradually being pushed back in Vietnam as well as around the world, but the emergence of different variants of the SARS COVI 2 virus remain a risk that could lead to a resurgence of the disease . Therefore, preparing sopportive information for epidemic prevention, especially disease risk maps based on spatial data, is essential to ensure that Vietnam can live safely with the SARS COVI virus 2. This paper presents a method for creating a COVID-19 sensitive map of Hanoi city using the QGIS technology. From there, areas at high risk of rapid infection when there are initial cases in the community and regions at high risk of outbreak can be identified in this map. This information helps the government plan to prioritize early vaccine coverage as well as propose reasonable epidemic prevention measures.
PL
Epidemia Covid-19 jest stopniowo wycofywana w Wietnamie, a także na całym świecie, jednak pojawienie się różnych wariantów wirusa SARS COVID 2 pozostaje ryzykiem, które może doprowadzić do nawrotu choroby. Dlatego przygotowanie informacji wspomagających zapobieganie epidemiom, w szczególności map ryzyka chorób opartych na danych przestrzennych, jest niezbędne, aby Wietnam mógł bezpiecznie żyć z wirusem SARS COVID 2. W artykule przedstawiono metodę tworzenia mapy miasta Hanoi wrażliwej na COVID-19 z wykorzystaniem technologii GIS. Stamtąd na tej mapie można zidentyfikować obszary o wysokim ryzyku szybkiej infekcji, gdy w społeczności występują pierwsze przypadki, oraz regiony o wysokim ryzyku wybuchu. Informacje te pomagają rządowi zaplanować priorytetowe traktowanie wczesnego objęcia szczepieniami, a także zaproponować rozsądne środki zapobiegania epidemii
Słowa kluczowe
EN
COVID   CVI map   QGIS   Hanoi  
PL
COVID   CVI mapa   QGIS   Hanoi  
Rocznik
Strony
169--[176]
Opis fizyczny
Bibliogr. 31 poz., rys., tab.
Twórcy
  • Faculty of Geomatics and Land Administration, Hanoi University of Mining and Geology, Hanoi, Vietnam
  • Faculty of Geomatics and Land Administration, Hanoi University of Mining and Geology, Hanoi, Vietnam
  • Faculty of Geomatics and Land Administration, Hanoi University of Mining and Geology, Hanoi, Vietnam
  • Faculty of Geo-Data Science, Geodesy and Environmental Engineering, AGH University of Krakow, Poland
Bibliografia
  • 1. Acharya, R. and A. Porwal (2020). "A vulnerability index for the management of and response to the COVID-19 epidemic in India: an ecological study." The Lancet Global Health 8(9): e1142-e1151.
  • 2. Amram, O., S. Amiri, R. B. Lutz, B. Rajan and P. Monsivais (2020). "Development of a vulnerability index for diagnosis with the novel coronavirus, COVID-19, in Washington State, USA." Health & place 64: 102377.
  • 3. Bui, T. Q. and H. M. Pham (2016). "Web-based GIS for spatial pattern detection: application to malaria incidence in Vietnam." SpringerPlus 5(1): 1-14.
  • 4. Canh, K. M., B. H. Son and L. T. Chon (2022). "Gis app proposed solutions to construction risk of Covid–19 in Thu Duc City." Journal of Hydro -Meteorology(4): 382-388.
  • 5. Dahu, B. M., K. Alaboud, A. A. Nowbuth, H. M. Puckett, G. J. Scott and L. R. Sheets (2023). "The Role of Remote Sensing and Geospatial Analysis for Understanding COVID-19 Population Severity: A Systematic Review." International Journal of Environmental Research and Public Health 20(5): 4298.
  • 6. Daras, K., A. Alexiou, T. C. Rose, I. Buchan, D. Taylor-Robinson and B. Barr (2021). "How does vulnerability to COVID-19 vary between communities in England? Developing a small area vulnerability index (SAVI)." J Epidemiol Community Health 75(8): 729-734.
  • 7. Franch-Pardo, I., B. M. Napoletano, F. Rosete-Verges and L. Billa (2020). "Spatial analysis and GIS in the study of COVID-19. A review." Science of the total environment 739: 140033.
  • 8. Fu, S., B. Wang, J. Zhou, X. Xu, J. Liu, Y. Ma, L. Li, X. He, S. Li and J. Niu (2021). "Meteorological factors, governmental responses and COVID-19: evidence from four European countries." Environmental research 194: 110596.
  • 9. Gao, Z., Y. Jiang, J. He, J. Wu, J. Xu and G. Christakos (2022). "An AHP-based regional COVID-19 vulnerability model and its application in China." Modeling earth systems and environment: 1-14.
  • 10. General Statistics Office, G. (2020). "Statistical Yearbook of Vietnam 2019." Statistical Publishing House: Hanoi, Vietnam.
  • 11. Kanga, S., Sudhanshu, G. Meraj, M. Farooq, M. Nathawat and S. K. Singh (2022). "Reporting the management of COVID-19 threat in India using remote sensing and GIS based approach." Geocarto International 37(5): 1337-1344.
  • 12. Kim, D. R., M. Ali, V. D. Thiem, J.-K. Park, L. von Seidlein and J. Clemens (2008). "Geographic analysis of shigellosis in Vietnam." Health & place 14(4): 755-767.
  • 13. Maitieg, A., A. Aljamel and W. Eltarjaman "A Framework for Deploying GIS Applications to Monitor the Spatial Distribution of Epidemics. COVID-19 Epidemic in Libya Case Study."
  • 14. Malakar, S. (2022). "Geospatial modelling of COVID-19 vulnerability using an integrated fuzzy MCDM approach: a case study of West Bengal, India." Modeling Earth Systems and Environment 8(3): 3103-3116.
  • 15. Mehmood, K., Y. Bao, S. Mushtaq, M. A. Khan, N. Siddique, M. Bilal, Z. Heng, L. Huan, M. Tariq and S. Ahmad (2022). "Perspectives from remote sensing to investigate the COVID-19 pandemic: A future-oriented approach." Frontiers in Public Health 10: 938811.
  • 16. Moslehi, S., A. Dehdashti, B. Pourmohammdi and F. Fatemi (2023). "Main social vulnerability indicators in the COVID-19 pandemic in Iran." Frontiers in Public Health 11: 1080137.
  • 17. Nande, A., B. Adlam, J. Sheen, M. Z. Levy and A. L. Hill (2021). "Dynamics of COVID-19 under social distancing measures are driven by transmission network structure." PLoS computational biology 17(2): e1008684.
  • 18. Nicodemo, C., S. Barzin, D. Lasserson, F. Moscone, S. Redding and M. Shaikh (2020). "Measuring geographical disparities in England at the time of COVID-19: results using a composite indicator of population vulnerability." BMJ open 10(9): e039749.
  • 19. Rahman, M. R., A. H. Islam and M. N. Islam (2021). "Geospatial modelling on the spread and dynamics of 154 day outbreak of the novel coronavirus (COVID-19) pandemic in Bangladesh towards vulnerability zoning and management approaches." Modeling earth systems and environment 7: 2059-2087.
  • 20. Raju K, Lavanya R, Manikandan S and Srilekha K (2020). "Application of GIS in COVID -19 Monitoring and Surveillance." International Journal for Research in Applied Science & Engineering Technology (IJRASET) 8(V).
  • 21. Sangiorgio, V. and F. Parisi (2020). "A multicriteria approach for risk assessment of Covid-19 in urban district lockdown." Safety Science 130: 104862.
  • 22. Santos, J. P. C. d., A. S. P. Siqueira, H. L. F. Praça and H. G. Albuquerque (2020). "Vulnerability to severe forms of COVID-19: an intra-municipal analysis in the city of Rio de Janeiro, Brazil." Cadernos de Saúde Pública 36.
  • 23. Sarkar, S. K. (2020). "COVID-19 susceptibility mapping using multicriteria evaluation." Disaster medicine and public health preparedness 14(4): 521-537.
  • 24. Shadeed, S. and S. Alawna (2021). "GIS-based COVID-19 vulnerability mapping in the West Bank, Palestine." International Journal of Disaster Risk Reduction 64: 102483.
  • 25. Sơn, B. H., D. T. T. Nga and Đ. T. B. Lê Trung Chơn (2022). "Dự báo khu vực lan truyền nhạy cảm Covid–19 dựa vào phương pháp hồi quy."
  • 26. Thanh Toan, D. T., W. Hu, P. Quang Thai, L. Ngoc Hoat, P. Wright and P. Martens (2013). "Hot spot detection and spatio-temporal dispersion of dengue fever in Hanoi, Vietnam." Global health action 6(1): 18632.
  • 27. Thapa, R. B. and Y. Murayama (2008). "Land evaluation for peri-urban agriculture using analytical hierarchical process and geographic information system techniques: A case study of Hanoi." Land use policy 25(2): 225-239.
  • 28. Toulkeridis, T., R. Seqqat, M. T. Arias, R. Salazar-Martinez, E. Ortiz-Prado, S. Chunga, K. Vizuete, M. Heredia-R and A. Debut (2022). "Volcanic Ash as a precursor for SARS-CoV-2 infection among susceptible populations in Ecuador: A satellite Imaging and excess mortality-based analysis." Disaster Medicine and Public Health Preparedness 16(6): 2499-2511.
  • 29. Uy, P. D. and N. Nakagoshi (2008). "Application of land suitability analysis and landscape ecology to urban greenspace planning in Hanoi, Vietnam." Urban Forestry & Urban Greening 7(1): 25-40.
  • 30. Van den Berg, L. M., M. S. Van Wijk and P. Van Hoi (2003). "The transformation of agriculture and rural life downstream of Hanoi." Environment and Urbanization 15(1): 35-52.
  • 31. Wyszyński, M., M. Grudziński, K. Pokonieczny and M. Kaszubowski (2022). "The assessment of covid-19 vulnerability risk for crisis management." Applied Sciences 12(8): 4090.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024) ; tytuł artykułu oraz nazwiska autorów jak we wcześniejszym artykule
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-67a6bf04-a3fb-4032-ba2b-6d123b0f7092
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