Mapping the Epidemic: Did Population Density and Mobility Affect the Number of Covid-19 Cases? Evidence from Yogyakarta City and Its Surrounding Areas

Ahmad Jihan Muzaki; Anang Wahyu Sejati

doi:10.14710/ijpd.8.1.%p

DOI: https://doi.org/10.14710/ijpd.8.1.%25p

Mapping the Epidemic: Did Population Density and Mobility Affect the Number of Covid-19 Cases? Evidence from Yogyakarta City and Its Surrounding Areas

*Ahmad Jihan Muzaki - Magister of Urban and Regional Planning, Faculty of Engineering, Universitas Diponegoro, Semarang, Indonesia, Indonesia

Anang Wahyu Sejati - Department of Urban and Regional Planning, Faculty of Engineering, Universitas Diponegoro, Semarang, Indonesia, Indonesia

Received: 5 Jan 2023; Accepted: 21 Feb 2023; Published: 28 Feb 2023.

Editor(s): Prihadi Nugroho

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

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Abstract

Mobility reduction is believed to effectively reduce the spread of Covid-19 disease by lowering the SARS-COV-2 transmission in the population. A big data platform consists of a big scale of anonymized smartphone location data collected by Citydash.ai and presented as mobility data during the pandemic time to help humanity control the spreading of Covid-19 in Indonesia. This research aims to find the relation between mobility and population density to the spread of Covid-19 in Yogyakarta City and its surrounding areas, Indonesia, by using GIS to visualize the mobility, population density and Covid-19. This research also used a simple correlation method by making a cross-tabulation of the data to verify the relation between variables. This research found that mobility into Yogyakarta City and its surrounding area relates to its Covid-19 spread. At the same time, this research also found that mobility inside the area, mobility out of the area, and population density did not relate to the expansion of Covid-19 in Yogyakarta City and its surrounding areas. This anomaly should be considered in the Covid-19 mitigation or similar diseases to help public health, data-driven decision-making, and improving community response to Covid-19.

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Keywords: big data; covid-19; epidemic governance; mobility mapping; yogyakarta

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Language : EN

In Vol 8, No 1 (2023): February 2023

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