An Approach to Measure the Death Impact of Covid-19 in Jakarta using Autoregressive Integrated Moving Average (ARIMA)

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Ferdian Fadly
Erika Sari

Abstract

Coronavirus disease 2019 (COVID-19) is a pandemic in more than 200 countries around the world. As the fourth most populous nation in the world, Indonesia is predicted to face a big threat to this pandemic particularly Jakarta as the epicenter of the virus in Indonesia. However, the nature of COVID-19 that can easily spread and also many undetected cases that do not present symptoms make it more difficult to determine the real mortality effects of COVID-19.The deaths in Jakarta from the new coronavirus may be higher than officially reported. To overcome this issue, this paper will provide an approach to measure the death impact of COVID-19 using the Autoregressive Integrated Moving Average model (ARIMA). The model will predict the ‘what if’ normal condition of the number of funerals in Jakarta compared to the real situation in March 2020 as an approach of the actual effect of COVID-19 in Jakarta. This research revealed a discrepancy of 450-1070 funerals in March 2020 that could not be predicted by the ARIMA model. This funeral gap, a forecast error, could be an approach to the potential number of possible death impacts of COVID-19 in Jakarta that should be significantly higher than the report. The people should be more conscious and alert of COVID-19 situation.

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Author Biographies

Ferdian Fadly, Regional Account and Statistics Analysis Department, BPS-Statistics Indonesia

Statistician at Regional accounts and Statistics Analysis Department at Badan Pusat Statistik of Riau Province

Alternative Email : [email protected]

Erika Sari, Data Processing and Dissemination Department, BPS-Statistics Indonesia

Statistician at Data Processing and Dissemination Department at Badan Pusat Statistik of Riau Province

How to Cite
Fadly, F., & Sari, E. (2020). An Approach to Measure the Death Impact of Covid-19 in Jakarta using Autoregressive Integrated Moving Average (ARIMA). Unnes Journal of Public Health, 9(2), 108-116. https://doi.org/10.15294/ujph.v9i2.38460

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