Forecasting Philippine Residential Mobility Percentage Change during COVID-19

Dela Cruz, Aarhus

doi:10.2139/ssrn.3579517

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Forecasting Philippine Residential Mobility Percentage Change during COVID-19

10 Pages Posted: 24 Apr 2020

See all articles by Aarhus Dela Cruz

Aarhus Dela Cruz

City of Malolos Integrated School - Atlag, Schools Division of City of Malolos

Date Written: April 18, 2020

Abstract

Philippines is one of the countries that was affected by COVID-19. Several researches provided insights on how old-style public health measures such as social distancing can lower the risk of spreading an epidemic virus along with mass testing and different health-related procedures. However, due to lack of equipment, social distancing and isolation is the initial response of the country to fight the outbreak. This paper shows how the Filipino people respond to the policies of the government through mobility. Moreover, ARIMA model was used to forecast the Residential Mobility Percentage Change during the Enhanced Community Quarantine within the country.

Keywords: COVID-19, Social Distancing, ARIMA Model, Time Series Forecasting

Suggested Citation: Suggested Citation

Dela Cruz, Aarhus, Forecasting Philippine Residential Mobility Percentage Change during COVID-19 (April 18, 2020). Available at SSRN: https://ssrn.com/abstract=3579517 or http://dx.doi.org/10.2139/ssrn.3579517