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Territorial Strategy of Medical Units for Addressing the First Wave of the COVID-19 Pandemic in the Metropolitan Area of Mexico City: Analysis of Mobility, Accessibility and Marginalization

Author

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  • Mateo Carlos Galindo-Pérez

    (Centro Regional de Investigaciones Multidisciplinarias, Universidad Nacional Autónoma de México, Cuernavaca 62209, Mexico
    Instituto de Geografía, Universidad Nacional Autónoma de México, Ciudad de Mexico 04510, Mexico)

  • Manuel Suárez

    (Instituto de Geografía, Universidad Nacional Autónoma de México, Ciudad de Mexico 04510, Mexico)

  • Ana Rosa Rosales-Tapia

    (Instituto de Geografía, Universidad Nacional Autónoma de México, Ciudad de Mexico 04510, Mexico)

  • José Sifuentes-Osornio

    (Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Ciudad de Mexico 14080, Mexico)

  • Ofelia Angulo-Guerrero

    (Secretaría de Educación, Ciencia, Tecnología e Innovación, Gogobierno de la Ciudad de México, Ciudad de Mexico 06010, Mexico)

  • Héctor Benítez-Pérez

    (Dirección General de Cómputo y de Tecnologías de Información y Comunicación, Universidad Nacional Autónoma de México, Ciudad de Mexico 04510, Mexico)

  • Guillermo de Anda-Jauregui

    (Departamento de Genómica Computacional, Instituto Nacional de Medicina Genómica, Ciudad de Mexico 14610, Mexico)

  • Juan Luis Díaz-de-León-Santiago

    (Secretaría de Educación, Ciencia, Tecnología e Innovación, Gogobierno de la Ciudad de México, Ciudad de Mexico 06010, Mexico)

  • Enrique Hernández-Lemus

    (Departamento de Genómica Computacional, Instituto Nacional de Medicina Genómica, Ciudad de Mexico 14610, Mexico)

  • Luis Alonso Herrera

    (Instituto de Investigaciones Biomédicas, Universidad Nacional Autónoma de México, Ciudad de Mexico 04510, Mexico)

  • Oliva López-Arellano

    (Secretaría de Salud de la Ciudad de México, Ciudad de Mexico 06900, Mexico)

  • Arturo Revuelta-Herrera

    (Secretaría de Salud de la Ciudad de México, Ciudad de Mexico 06900, Mexico)

  • Rosaura Ruiz-Gutiérrez

    (Secretaría de Educación, Ciencia, Tecnología e Innovación, Gogobierno de la Ciudad de México, Ciudad de Mexico 06010, Mexico)

  • Claudia Sheinbaum-Pardo

    (Gobierno de la Ciudad de México, Ciudad de Mexico 06000, Mexico)

  • David Kershenobich-Stalnikowitz

    (Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Ciudad de Mexico 14080, Mexico)

Abstract

Background. The COVID-19 pandemic has caused an exponential increase in the demand for medical care worldwide. In Mexico, the COVID Medical Units (CMUs) conversion strategy was implemented. Objective. To evaluate the CMU coverage strategy in the Mexico City Metropolitan Area (MCMA) by territory. Materials. The CMU directory was used, as were COVID-19 infection and mobility statistics and Mexican 2020 census information at the urban geographic area scale. The degree of urban marginalization by geographic area was also considered. Method. Using descriptive statistics and the calculation of a CMU accessibility index, population aggregates were counted based on coverage radii. In addition, two regression models are proposed to explain (1) the territorial and temporal trend of COVID-19 infections in the MCMA and (2) the mobility of the COVID-infected population visiting medical units. Results. The findings of the evaluation of the CMU strategy were (1) in the MCMA, COVID-19 followed a pattern of contagion from the urban center to the periphery; (2) given the growth in the number of cases and the overload of medical units, the population traveled greater distances to seek medical care; (3) after the CMU strategy was evaluated at the territory level, it was found that 9 out of 10 inhabitants had a CMU located approximately 7 km away; and (4) at the metropolitan level, the lowest level of accessibility to the CMU was recorded for the population with the highest levels of marginalization, i.e., those residing in the urban periphery.

Suggested Citation

  • Mateo Carlos Galindo-Pérez & Manuel Suárez & Ana Rosa Rosales-Tapia & José Sifuentes-Osornio & Ofelia Angulo-Guerrero & Héctor Benítez-Pérez & Guillermo de Anda-Jauregui & Juan Luis Díaz-de-León-Santi, 2022. "Territorial Strategy of Medical Units for Addressing the First Wave of the COVID-19 Pandemic in the Metropolitan Area of Mexico City: Analysis of Mobility, Accessibility and Marginalization," IJERPH, MDPI, vol. 19(2), pages 1-23, January.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:2:p:665-:d:719816
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    References listed on IDEAS

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    1. Mark S. Daskin & Edmund H. Stern, 1981. "A Hierarchical Objective Set Covering Model for Emergency Medical Service Vehicle Deployment," Transportation Science, INFORMS, vol. 15(2), pages 137-152, May.
    2. Baser, Onur, 2020. "Population density index and its use for distribution of covid-19: A case study using Turkish data," MPRA Paper 101904, University Library of Munich, Germany.
    3. Tavares, Fernando Flores & Betti, Gianni, 2021. "The pandemic of poverty, vulnerability, and COVID-19: Evidence from a fuzzy multidimensional analysis of deprivations in Brazil," World Development, Elsevier, vol. 139(C).
    4. Shima Hamidi & Sadegh Sabouri & Reid Ewing, 2020. "Does Density Aggravate the COVID-19 Pandemic?," Journal of the American Planning Association, Taylor & Francis Journals, vol. 86(4), pages 495-509, October.
    5. Hasan Pirkul & David A. Schilling, 1988. "The Siting of Emergency Service Facilities with Workload Capacities and Backup Service," Management Science, INFORMS, vol. 34(7), pages 896-908, July.
    6. Cervero, Robert & Rood, Timothy & Appleyard, Bruce, 1995. "Job Accessibility as a Performance Indicator: An Analysis of Trends and Their Social Policy Implications in the San Francisco Bay Area," University of California Transportation Center, Working Papers qt6mp941d9, University of California Transportation Center.
    7. Karatas, Mumtaz & Yakıcı, Ertan, 2019. "An analysis of p-median location problem: Effects of backup service level and demand assignment policy," European Journal of Operational Research, Elsevier, vol. 272(1), pages 207-218.
    8. Ivan J. Ramírez & Jieun Lee, 2020. "COVID-19 Emergence and Social and Health Determinants in Colorado: A Rapid Spatial Analysis," IJERPH, MDPI, vol. 17(11), pages 1-15, May.
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