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Urban Vulnerability Assessment for Pandemic surveillance: The COVID-19 case in Bogotá, Colombia

تقييم الضعف الحضري لمراقبة الأوبئة: حالة كوفيد-19 في بوغوتا، كولومبيا
Authors: Jeisson Prieto; Rafael Malagón; Jonatan Gómez; Elizabeth León;

Urban Vulnerability Assessment for Pandemic surveillance: The COVID-19 case in Bogotá, Colombia

Abstract

AbstractA Pandemic devastates the life of global citizens and causes significant economic, social, and political disruption. Evidence suggests that Pandemic’s likelihood has increased over the past century because of increased global travel and integration, urbanization, and changes in land use. Further, evidence concerning the urban character of the Pandemic has underlined the role of cities in disease transmission. An early assessment of the severity of infection and transmissibility can help quantify the Pandemic potential and prioritize surveillance to control of urban areas in Pandemics. In this paper, an Urban Vulnerability Assessment (UVA) methodology is proposed. UVA investigates the possible vulnerable factors related to Pandemics to assess the vulnerability in urban areas. A vulnerability index is constructed by the aggregation of multiple vulnerability factors computed on each urban area (i.e., urban density, poverty index, informal labor, transmission routes). UVA provides insights into early vulnerability assessment using publicly available data. The applicability of UVA is shown by the identification of high-vulnerable areas where surveillance should be prioritized in the COVID-19 Pandemic in Bogotá, Colombia.

Keywords

vulnerability assessment, COVID-19 vulnerability index, Vulnerability index, Economics, Social Sciences, Infectious disease (medical specialty), infectious diseases, Renewable energy sources, Vulnerability (computing), Engineering, Computer security, Psychological intervention, Pathology, Climate change, GE1-350, Disease, Environmental planning, Development economics, Psychiatry, Global and Planetary Change, Environmental effects of industries and plants, Geography, Ecology, Modeling the Dynamics of COVID-19 Pandemic, Economics, Econometrics and Finance, Modeling and Simulation, Physical Sciences, Medicine, Economics and Econometrics, spatial analysis, TJ807-830, TD194-195, Impact of COVID-19 on Global Environment, Impacts of COVID-19 on Global Economy and Markets, FOS: Mathematics, urban vulnerability, Pandemics, Poverty, Biology, Economic growth, Pandemic, pandemic, Urbanization, Transmission (telecommunications), Computer science, Environmental sciences, Coronavirus disease 2019 (COVID-19), Vulnerability assessment, Socioeconomics, FOS: Biological sciences, Electrical engineering, Environmental Science, Mathematics

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    14
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
14
Top 10%
Average
Top 10%
gold