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
  • [11] Correlation between climate indicators and COVID-19 pandemic in New York, USA
    Bashir, Muhammad Farhan
    Ma, Benjiang
    Bilal
    Komal, Bushra
    Bashir, Muhammad Adnan
    Tan, Duojiao
    Bashir, Madiha
    [J]. SCIENCE OF THE TOTAL ENVIRONMENT, 2020, 728
  • [12] Impact of population density on Covid-19 infected and mortality rate in India
    Bhadra, Arunava
    Mukherjee, Arindam
    Sarkar, Kabita
    [J]. MODELING EARTH SYSTEMS AND ENVIRONMENT, 2021, 7 (01) : 623 - 629
  • [13] Bimtas, 2020, COV 19 SALG MUC SUR
  • [14] Buyukozturk S., 2002, EDUC SCI-THEOR PRACT, V8, P470
  • [15] Chen B., 2020, medRxiv, DOI [10.1101/2020.03.16.20037168, DOI 10.1101/2020.03.16.20037168]
  • [16] The spread of COVID-19 virus through population density and wind in Turkey cities
    Coskun, Hamit
    Yildirim, Nazmiye
    Gunduz, Samettin
    [J]. SCIENCE OF THE TOTAL ENVIRONMENT, 2021, 751
  • [17] Comparing exploratory factor models of the Brief Electricity and Magnetism Assessment and the Conceptual Survey of Electricity and Magnetism
    Eaton, Philip
    Frank, Barrett
    Johnson, Keith
    Willoughby, Shannon
    [J]. PHYSICAL REVIEW PHYSICS EDUCATION RESEARCH, 2019, 15 (02):
  • [18] Fabrigar L.R., 2012, Exploratory factor analysis
  • [19] Role of the chronic air pollution levels in the Covid-19 outbreak risk in Italy
    Fattorini, Daniele
    Regoli, Francesco
    [J]. ENVIRONMENTAL POLLUTION, 2020, 264
  • [20] A Social Vulnerability Index for Disaster Management
    Flanagan, Barry E.
    Gregory, Edward W.
    Hallisey, Elaine J.
    Heitgerd, Janet L.
    Lewis, Brian
    [J]. JOURNAL OF HOMELAND SECURITY AND EMERGENCY MANAGEMENT, 2011, 8 (01):