<![CDATA[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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