Determining Pandemic Vulnerability Levels of Cities Using the Factor Analysis Method

被引:0
作者
Kirlangicoglu, Cem [1 ]
机构
[1] Sakarya Univ, Sanat Tasarim & Mimarlik Fak, Sakarya, Turkey
来源
JOURNAL OF GEOGRAPHY-COGRAFYA DERGISI | 2022年 / 44期
关键词
Pandemic; COVID-19; Vulnerability; Factor analysis; Geographic information systems; COVID-19;
D O I
10.26650/JGEOG2022-1057248
中图分类号
P9 [自然地理学]; K9 [地理];
学科分类号
0705 ; 070501 ;
摘要
Pandemics have reentered our lives with the coronavirus disease (COVID-19), and the outbreak has affected all humanity on a global scale. Just as some countries in the world are more affected by this pandemic than others, although the number of cases and deaths is critically high in some cities in Turkey, others cities are less affected. This study aims to measure Turkish cities vulnerability levels to the pandemic based on variables that are likely to be influence a difference in the number of cases that emerge. A literature survey shows that similar studies in Turkey in particular are generally built on just one of the social, economic, and spatial vulnerability indices. No holistic approach has been found that combines all the relevant factors. This study uses 35 different variables gathered under the indicators of population, demography, urban life, economy, climate, environment and health, as identified at the end of the literature review. As a result, each city's Pandemic Vulnerability Index score was calculated using factor analysis, and a hierarchical ranking was carried out among Turkish cities going from the most to the least vulnerable.
引用
收藏
页码:193 / 205
页数:13
相关论文
共 71 条
  • [1] A vulnerability index for the management of and response to the COVID-19 epidemic in India: an ecological study
    Acharya, Rajib
    Porwal, Akash
    [J]. LANCET GLOBAL HEALTH, 2020, 8 (09): : E1142 - E1151
  • [2] Assessment of the Socioeconomic Vulnerability to Seismic Hazards in the National Capital Region of India Using Factor Analysis
    Agrawal, Navdeep
    Gupta, Laxmi
    Dixit, Jagabandhu
    [J]. SUSTAINABILITY, 2021, 13 (17)
  • [3] Investigation of effective climatology parameters on COVID-19 outbreak in Iran
    Ahmadi, Mohsen
    Sharifi, Abbas
    Dorosti, Shadi
    Ghoushchi, Saeid Jafarzadeh
    Ghanbari, Negar
    [J]. SCIENCE OF THE TOTAL ENVIRONMENT, 2020, 729 (729)
  • [4] COVID-19: Disease, management, treatment, and social impact
    Ali, Imran
    Alharbi, Omar M. L.
    [J]. SCIENCE OF THE TOTAL ENVIRONMENT, 2020, 728
  • [5] Urbanisation and infectious diseases in a globalised world
    Alirol, Emilie
    Getaz, Laurent
    Stoll, Beat
    Chappuis, Francois
    Loutan, Louis
    [J]. LANCET INFECTIOUS DISEASES, 2011, 11 (02) : 131 - 141
  • [6] JUE Insight: The determinants of the differential exposure to COVID-19 in New York city and their evolution over time
    Almagro, Milena
    Orane-Hutchinson, Angelo
    [J]. JOURNAL OF URBAN ECONOMICS, 2022, 127
  • [7] Andr┬u┬e B.P.J., 2020, INCIDENCE COVID 19 C
  • [8] Nexus between population density and novel coronavirus (COVID-19) pandemic in the south Indian states: A geo-statistical approach
    Arif, Mohammad
    Sengupta, Soumita
    [J]. ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY, 2021, 23 (07) : 10246 - 10274
  • [9] Atalay A., 2014, ULUSLARARASI TRAFIK, V1
  • [10] Evidence that high temperatures and intermediate relative humidity might favor the spread of COVID-19 in tropical climate: A case study for the most affected Brazilian cities
    Auler, A. C.
    Cassaro, F. A. M.
    da Silva, V. O.
    Pires, L. F.
    [J]. SCIENCE OF THE TOTAL ENVIRONMENT, 2020, 729