IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i6p3402-d520268.html
   My bibliography  Save this article

Urban Vulnerability Assessment for Pandemic Surveillance—The COVID-19 Case in Bogotá, Colombia

Author

Listed:
  • Jeisson Prieto

    (Departamento de Matemáticas, Facultad de Ciencias, Universidad Nacional de Colombia, Bogotá 11001, Colombia)

  • Rafael Malagón

    (Departamento de Salud Colectiva, Facultad de Odontología, Universidad Nacional de Colombia, Bogotá 11001, Colombia)

  • Jonatan Gomez

    (Departamento de Ingeniería de Sistemas e Industrial, Facultad de Ingeniería, Universidad Nacional de Colombia, Bogotá 11001, Colombia)

  • Elizabeth León

    (Departamento de Ingeniería de Sistemas e Industrial, Facultad de Ingeniería, Universidad Nacional de Colombia, Bogotá 11001, Colombia)

Abstract

A pandemic devastates the lives of global citizens and causes significant economic, social, and political disruption. Evidence suggests that the likelihood of pandemics has increased over the past century because of increased global travel and integration, urbanization, and changes in land use with a profound affectation of society–nature metabolism. 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 highly vulnerable urban areas in pandemics. In this paper, an Urban Vulnerability Assessment (UVA) methodology is proposed. UVA investigates various vulnerability 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). This methodology is useful in a-priori evaluation and development of policies and programs aimed at reducing disaster risk (DRR) at different scales (i.e., addressing urban vulnerability at national, regional, and provincial scales), under diverse scenarios of resources scarcity (i.e., short and long-term actions), and for different audiences (i.e., the general public, policy-makers, international organizations). The applicability of UVA is shown by the identification of high vulnerable areas based on publicly available data where surveillance should be prioritized in the COVID-19 pandemic in Bogotá, Colombia.

Suggested Citation

  • Jeisson Prieto & Rafael Malagón & Jonatan Gomez & Elizabeth León, 2021. "Urban Vulnerability Assessment for Pandemic Surveillance—The COVID-19 Case in Bogotá, Colombia," Sustainability, MDPI, vol. 13(6), pages 1-13, March.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:6:p:3402-:d:520268
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/6/3402/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/13/6/3402/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jonatan Gomez & Jeisson Prieto & Elizabeth Leon & Arles Rodríguez, 2021. "INFEKTA—An agent-based model for transmission of infectious diseases: The COVID-19 case in Bogotá, Colombia," PLOS ONE, Public Library of Science, vol. 16(2), pages 1-16, February.
    2. Mishra, Swasti Vardhan & Gayen, Amiya & Haque, Sk. Mafizul, 2020. "COVID-19 and urban vulnerability in India," SocArXiv 523r8, Center for Open Science.
    3. Peter Emerson, 2013. "The original Borda count and partial voting," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 40(2), pages 353-358, February.
    4. Jorge Salas & Víctor Yepes, 2019. "VisualUVAM: A Decision Support System Addressing the Curse of Dimensionality for the Multi-Scale Assessment of Urban Vulnerability in Spain," Sustainability, MDPI, vol. 11(8), pages 1-17, April.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yuming Lin & Zhenjiang Shen, 2022. "An Innovative Index for Evaluating Urban Vulnerability on Pandemic Using LambdaMART Algorithm," Sustainability, MDPI, vol. 14(9), pages 1-19, April.
    2. Mónica de Castro-Pardo & Fernando Pérez-Rodríguez & José María Martín-Martín & João C. Azevedo, 2019. "Planning for Democracy in Protected Rural Areas: Application of a Voting Method in a Spanish-Portuguese Reserve," Land, MDPI, vol. 8(10), pages 1-17, October.
    3. D. Marc Kilgour & Jean-Charles Grégoire & Angèle M. Foley, 2022. "Weighted scoring elections: is Borda best?," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 58(2), pages 365-391, February.
    4. Tan, Si Ying & Foo, Chuan De & Verma, Monica & Hanvoravongchai, Piya & Cheh, Paul Li Jen & Pholpark, Aungsumalee & Marthias, Tiara & Hafidz, Firdaus & Prawidya Putri, Likke & Mahendradhata, Yodi & Gia, 2023. "Mitigating the impacts of the COVID-19 pandemic on vulnerable populations: Lessons for improving health and social equity," Social Science & Medicine, Elsevier, vol. 328(C).
    5. Jorge Salas & Víctor Yepes, 2020. "Enhancing Sustainability and Resilience through Multi-Level Infrastructure Planning," IJERPH, MDPI, vol. 17(3), pages 1-22, February.
    6. Arora, Varun & Chakravarty, Sujoy & Kapoor, Hansika & Mukherjee, Shagata & Roy, Shubhabrata & Tagat, Anirudh, 2023. "No going back: COVID-19 disease threat perception and male migrants' willingness to return to work in India," Journal of Economic Behavior & Organization, Elsevier, vol. 209(C), pages 533-546.
    7. Shreya Joshi & Bhumika Morey & Sameer Deshkar & Bijon Kumer Mitra, 2022. "Applying Circulating and Ecological Sphere (CES) Concept for Post-Pandemic Development: A Case of Hingna Tahsil, Nagpur (India)," Sustainability, MDPI, vol. 14(15), pages 1-15, July.
    8. Mohammad Arif & Soumita Sengupta, 2021. "Nexus between population density and novel coronavirus (COVID-19) pandemic in the south Indian states: A geo-statistical approach," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(7), pages 10246-10274, July.
    9. Rudiah Md Hanafiah & Nur Hazwani Karim & Noorul Shaiful Fitri Abdul Rahman & Saharuddin Abdul Hamid & Ahmed Maher Mohammed, 2022. "An Innovative Risk Matrix Model for Warehousing Productivity Performance," Sustainability, MDPI, vol. 14(7), pages 1-21, March.
    10. Selim baha Yildiz & Abdelbari El khamlichi, 2017. "The Performance Ranking of Emerging Markets Islamic Indices Using Risk Adjusted Performance Measures," Economics Bulletin, AccessEcon, vol. 37(1), pages 63-78.
    11. Lili Li & Araz Taeihagh & Si Ying Tan, 2023. "A scoping review of the impacts of COVID-19 physical distancing measures on vulnerable population groups," Nature Communications, Nature, vol. 14(1), pages 1-19, December.
    12. Mahadevia, Darshini & Datt, Manish & Adhvaryu, Bhargav & Killiyath, Suhair, 2021. "Spatiality of COVID-19 Infections in Ahmedabad: An Early Period Analysis," SocArXiv ycnue, Center for Open Science.
    13. Kevan W. Lamm & Alyssa Powell & Abigail Borron & Keith Atkins & Stephanie Hollifield, 2022. "Insights into Rural Stress: Using the Community Capitals Framework to Help Inform Rural Policies and Interventions," Agriculture, MDPI, vol. 12(5), pages 1-12, May.
    14. Neal D. Hulkower & John Neatrour, 2019. "The Power of None," SAGE Open, , vol. 9(1), pages 21582440198, March.
    15. Shahparvari, Shahrooz & Hassanizadeh, Behnam & Mohammadi, Alireza & Kiani, Behzad & Lau, Kwok Hung & Chhetri, Prem & Abbasi, Babak, 2022. "A decision support system for prioritised COVID-19 two-dosage vaccination allocation and distribution," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 159(C).
    16. Da Col, Giacomo & Teppan, Erich C., 2022. "Industrial-size job shop scheduling with constraint programming," Operations Research Perspectives, Elsevier, vol. 9(C).
    17. Laruelle, Annick, 2021. "Voting to select projects in participatory budgeting," European Journal of Operational Research, Elsevier, vol. 288(2), pages 598-604.
    18. Andrew C. Eggers, 2021. "A diagram for analyzing ordinal voting systems," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 56(1), pages 143-171, January.
    19. Egli, Florian, 2020. "Renewable energy investment risk: An investigation of changes over time and the underlying drivers," Energy Policy, Elsevier, vol. 140(C).
    20. Patricia Basile, 2023. "Vulnerability, neglect, and collectivity in Brazilian favelas: Surviving the threats of the COVID-19 pandemic and the state’s necropolitics," Urban Studies, Urban Studies Journal Limited, vol. 60(9), pages 1690-1706, July.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:13:y:2021:i:6:p:3402-:d:520268. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.