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

Authors

  • Thi Thu NGUYEN Author
  • Minh Quang NGUYEN Author
  • Long Quoc NGUYEN Author
  • Tomasz LIPECKI Author

DOI:

https://doi.org/10.29227/IM-2023-02-62

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.

Author Biographies

  • Thi Thu NGUYEN

    1) Faculty of Geomatics and Land Administration, Hanoi University of Mining and Geology, Hanoi, Vietnam

  • Minh Quang NGUYEN

    1) Faculty of Geomatics and Land Administration, Hanoi University of Mining and Geology, Hanoi, Vietnam

  • Long Quoc NGUYEN

    1) Faculty of Geomatics and Land Administration, Hanoi University of Mining and Geology, Hanoi, Vietnam

  • Tomasz LIPECKI

    2) Faculty of Geo-Data Science, Geodesy and Environmental Engineering, AGH University of Krakow, Poland

Published

2023-12-01

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