Research on Creating Spatial Analysis Models for Developing COVID-19 Vulnerability Index Map in Hanoi City

  • Thi Thu NGUYEN Faculty of Geomatics and Land Administration, Hanoi University of Mining and Geology, Hanoi, Vietnam
  • Minh Quang NGUYEN Faculty of Geomatics and Land Administration, Hanoi University of Mining and Geology, Hanoi, Vietnam
  • Long Quoc NGUYEN Faculty of Geomatics and Land Administration, Hanoi University of Mining and Geology, Hanoi, Vietnam
  • Tomasz LIPECKI Faculty of Geo-Data Science, Geodesy and Environmental Engineering, AGH University of Krakow, Poland
Keywords: COVID, CVI map, QGIS, Hanoi

Abstract

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.

Published
2024-02-19
How to Cite
NGUYEN, T. T., NGUYEN, M. Q., NGUYEN, L. Q., & LIPECKI, T. (2024). Research on Creating Spatial Analysis Models for Developing COVID-19 Vulnerability Index Map in Hanoi City. Test, 2(2 (52), 93–100. https://doi.org/10.29227/IM-2023-02-62