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Determination of Population Mobility Dynamics in Popayán-Colombia during the COVID-19 Pandemic Using Open Datasets

Author

Listed:
  • Andrés Felipe Solis Pino

    (Facultad de Ingeniería, Corporación Universitaria Comfacauca-Unicomfacauca, Cl. 4 N. 8-30, Popayán 190001, Cauca, Colombia)

  • Ginna Andrea Ramirez Palechor

    (Facultad de Ingeniería, Corporación Universitaria Comfacauca-Unicomfacauca, Cl. 4 N. 8-30, Popayán 190001, Cauca, Colombia)

  • Yesid Ediver Anacona Mopan

    (Facultad de Ingeniería, Corporación Universitaria Comfacauca-Unicomfacauca, Cl. 4 N. 8-30, Popayán 190001, Cauca, Colombia)

  • Victoria E. Patiño-Arenas

    (Facultad de Ingeniería, Corporación Universitaria Comfacauca-Unicomfacauca, Cl. 4 N. 8-30, Popayán 190001, Cauca, Colombia)

  • Pablo H. Ruiz

    (Facultad de Ingeniería, Corporación Universitaria Comfacauca-Unicomfacauca, Cl. 4 N. 8-30, Popayán 190001, Cauca, Colombia)

  • Vanessa Agredo-Delgado

    (Facultad de Ingeniería, Corporación Universitaria Comfacauca-Unicomfacauca, Cl. 4 N. 8-30, Popayán 190001, Cauca, Colombia)

  • Alicia Mon

    (Universidad Nacional de La Matanza, Buenos Aires B1754, Argentina)

Abstract

The COVID-19 pandemic is a catastrophic event that marked the history of humanity. The virus’s transmissibility has primarily prevented the control of the pandemic, so it has become vital to determine and control the dynamics of the population mobility to reduce the epidemiological impact. Considering the above, this paper uses an exposure indicator based on the movement ranges provided by Facebook to determine the dynamics of population mobility in Popayán city for the period after the appearance of COVID-19. Using statistical analysis techniques, it then contrasts the data obtained with the public circulation reports provided by Google and Apple. The results suggest that the exposure indicator is reliable and presents moderate to strong linear relationships for the public data, which implies that it can be an additional resource for decision-making to curb the spread of the virus.

Suggested Citation

  • Andrés Felipe Solis Pino & Ginna Andrea Ramirez Palechor & Yesid Ediver Anacona Mopan & Victoria E. Patiño-Arenas & Pablo H. Ruiz & Vanessa Agredo-Delgado & Alicia Mon, 2022. "Determination of Population Mobility Dynamics in Popayán-Colombia during the COVID-19 Pandemic Using Open Datasets," IJERPH, MDPI, vol. 19(22), pages 1-16, November.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:22:p:14814-:d:969191
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    References listed on IDEAS

    as
    1. Padhan, Rakesh & Prabheesh, K.P., 2021. "The economics of COVID-19 pandemic: A survey," Economic Analysis and Policy, Elsevier, vol. 70(C), pages 220-237.
    2. Seulkee Heo & Chris C. Lim & Michelle L. Bell, 2020. "Relationships between Local Green Space and Human Mobility Patterns during COVID-19 for Maryland and California, USA," Sustainability, MDPI, vol. 12(22), pages 1-16, November.
    3. Saha, Jay & Barman, Bikash & Chouhan, Pradip, 2020. "Lockdown for COVID-19 and its impact on community mobility in India: An analysis of the COVID-19 Community Mobility Reports, 2020," Children and Youth Services Review, Elsevier, vol. 116(C).
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    2. Moncayo-Unda, Milton Giovanny & Van Droogenbroeck, Marc & Saadi, Ismaïl & Cools, Mario, 2023. "A longitudinal analysis of the COVID-19 effects on the variability in human activity spaces in Quito, Ecuador," Journal of Transport Geography, Elsevier, vol. 113(C).

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