Issue |
E3S Web Conf.
Volume 331, 2021
International Conference on Disaster Mitigation and Management (ICDMM 2021)
|
|
---|---|---|
Article Number | 01010 | |
Number of page(s) | 7 | |
Section | COVID-19 | |
DOI | https://doi.org/10.1051/e3sconf/202133101010 | |
Published online | 13 December 2021 |
Forecast of COVID-19 cemetery land needs with system dynamics modeling
Disaster Management Study Program, National Security Faculty, Republic of Indonesia Defense University. IPSC Sentul Area, Bogor, West Java, Indonesia
* Corresponding author : bondanhootowl@gmail.com
As of June 30, 2021, Indonesia ranks third in Asia with the highest number of deaths due to COVID-19. One of the provinces in Indonesia, Central Java, is ranked third nationally in the accumulation of positive cases, recoveries, and deaths. Fulfilling the need for burial grounds for COVID-19 positive bodies needs attention because several countries and regions in Indonesia were experiencing a COVID-19 public cemetery land crisis. Sragen Regency is one area in Central Java designated as a red zone. The number of death cases is relatively high needs to ensure the availability of COVID-19 burial grounds. Therefore, this study aims to model the forecast for COVID-19 burial grounds. The approach used in this research is systems thinking, while the method used is system dynamics with Powersim software. Reference data for modeling is obtained from the http://corona.sragenkab.go.id page. The simulation results show the AME value of 4.7% or less than 5% so that the model is declared valid. Based on the Business as Usual (BAU) simulation, in the 20th week, it is estimated that there will be 320 deaths with a burial area of 961.13 m². Until the 20th week, the increase in COVID-19 Positive Population, Death, and Cemetery Land Needs on the graph of the BAU simulation results shows an exponential growth trend.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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