GIS-based COVID-19 vulnerability mapping in the West Bank, Palestine

被引:21
|
作者
Shadeed, Sameer [1 ]
Alawna, Sandy [1 ]
机构
[1] An Najah Natl Univ, Water & Environm Studies Inst, Nablus, Palestine
关键词
COVID-19; GIS; AHP; Vulnerability mapping; West Bank; Vulnerability index; MCDA; SOCIAL VULNERABILITY;
D O I
10.1016/j.ijdrr.2021.102483
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
From the beginning of the COVID-19 pandemic, the world stands idly by in the face of the virus spreading. The prediction of highly vulnerable population and the implementation of proper actions are very important steps to break the infection chain of any virus. This will, in turn, reduce the economic and social impact of this virus outbreak. In this study, the COVID-19 vulnerability map for the West Bank, Palestine was developed. Analytic Hierarchy Process (AHP) was used to develop the COVID-19 vulnerability map. The Geographic Information system (GIS) in combination with multi-criteria decision analysis (MCDA) was adopted to estimate the COVID-19 vulnerability index (CVI) based on some selected potential criteria including population, population density, elderly population, accommodation and food service activities, school students, chronic diseases, hospital beds, health insurance, and pharmacy. The results of this study show that Nablus, Jerusalem, and Hebron governorates are under very high vulnerability. Tulkarm, Ramallah & Al-Bireh and Jenin governorates are high vulnerable to COVID-19. Additionally, 82 % of the West Bank population are under high to very high COVID-19 vulnerability classes. Moreover, 14% and 4 % are medium and low to very low vulnerable, respectively. The obtained results are of high value to help decision-makers to take proper actions as early as possible mainly in the highly COVID19 vulnerable governorates to control the risk associated with the potential outbreak of the virus and accordingly to protect social life and to sustain economic conditions.
引用
收藏
页数:8
相关论文
共 50 条
  • [31] A GIS-Based Spatiotemporal Modelling of Urban Traffic Accidents in Tabriz City during the COVID-19 Pandemic
    Feizizadeh, Bakhtiar
    Omarzadeh, Davoud
    Sharifi, Ayyoob
    Rahmani, Abolfazl
    Lakes, Tobia
    Blaschke, Thomas
    [J]. SUSTAINABILITY, 2022, 14 (12)
  • [32] Sleep duration during the COVID-19 pandemic in Bangladesh: A GIS-based large sample survey study
    Al-Mamun, Firoj
    Hussain, Nur
    Sakib, Najmuj
    Hosen, Ismail
    Rayhan, Istihak
    Abdullah, Abu Hasnat
    Bhuiyan, A. K. M. Israfil
    Sarker, Md. Abedin
    Hossain, Sahadat
    Zou, Liye
    Manzar, Md. Dilshad
    Lin, Chung-Ying
    Sikder, Md. Tajuddin
    Muhit, Mohammad
    Pakpour, Amir H.
    Gozal, David
    Griffiths, Mark D.
    Mamun, Mohammed A.
    [J]. SCIENTIFIC REPORTS, 2023, 13 (01)
  • [33] Sleep duration during the COVID-19 pandemic in Bangladesh: A GIS-based large sample survey study
    Firoj Al-Mamun
    Nur Hussain
    Najmuj Sakib
    Ismail Hosen
    Istihak Rayhan
    Abu Hasnat Abdullah
    A. K. M. Israfil Bhuiyan
    Md. Abedin Sarker
    Sahadat Hossain
    Liye Zou
    Md. Dilshad Manzar
    Chung-Ying Lin
    Md. Tajuddin Sikder
    Mohammad Muhit
    Amir H. Pakpour
    David Gozal
    Mark D. Griffiths
    Mohammed A. Mamun
    [J]. Scientific Reports, 13
  • [34] Risk Analysis of COVID-19 Infections in Kolkata Metropolitan City: A GIS-Based Study and Policy Implications
    Nath, Bibhash
    Majumder, Santanu
    Sen, Jayanta
    Rahman, Mohammad Mahmudur
    [J]. GEOHEALTH, 2021, 5 (04):
  • [35] GIS-BASED AND GEOSPATIAL ANALYSIS: MAPPING AND VISUALIZING THE TREND OF COVID-19 DATA IN SELECTED ASIAN COUNTRIES (Analisis Berasaskan GIS dan Geospatial: Pemetaan dan Visualiasi Trend Data COVID-19 di Negaranegara Asia Terpilih)
    Wong, Jiun Guan
    Lim, Min Jun
    Sek, Siok Kun
    Sim, Khang Yi
    [J]. JOURNAL OF QUALITY MEASUREMENT AND ANALYSIS, 2024, 20 (02): : 23 - 33
  • [36] Comparative evaluation of GIS-based models for mapping aquifer vulnerability in hard-rock terrains
    M. Annie Jenifer
    Madan K. Jha
    [J]. Environmental Earth Sciences, 2018, 77
  • [37] Comparative evaluation of GIS-based models for mapping aquifer vulnerability in hard-rock terrains
    Jenifer, M. Annie
    Jha, Madan K.
    [J]. ENVIRONMENTAL EARTH SCIENCES, 2018, 77 (19)
  • [38] A GIS-Based Support Vector Machine Model for Flash Flood Vulnerability Assessment and Mapping in China
    Xiong, Junnan
    Li, Jin
    Cheng, Weiming
    Wang, Nan
    Guo, Liang
    [J]. ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2019, 8 (07):
  • [39] Labour market impact of the COVID-19 pandemic in the West Bank and Gaza
    Deng, Jingyuan
    Elmallakh, Nelly
    Flabbi, Luca
    Gatti, Roberta
    [J]. LABOUR-ENGLAND, 2023, 37 (04): : 491 - 518
  • [40] A GIS-based approach to mapping probabilities of river bank erosion: Regulated River Tummel, Scotland
    Winterbottom, SJ
    Gilvear, DJ
    [J]. REGULATED RIVERS-RESEARCH & MANAGEMENT, 2000, 16 (02): : 127 - 140