J Prev Med Public Health.  2020 May;53(3):158-163. 10.3961/jpmph.20.152.

Forecasting COVID-19 Transmission and Healthcare Capacity in Bali, Indonesia

Affiliations
  • 1Department of Public Health and Preventive Medicine, Faculty of Medicine, Udayana University, Bali, Indonesia
  • 2Travel Medicine Research Group, Health Research Centre, Institute for Research and Community Services, Udayana University, Bali, Indonesia
  • 3Center for Public Health Innovation, Faculty of Medicine, Udayana University, Bali, Indonesia

Abstract


Objectives
In the current early phase of the coronavirus disease 2019 (COVID-19) outbreak, Bali needs to prepare to face the escalation of cases, with a particular focus on the readiness of healthcare services. We simulated the future trajectory of the epidemic under current conditions, projected the impact of policy interventions, and analyzed the implications for healthcare capacity.
Methods
Our study was based on the first month of publicly accessible data on new confirmed daily cases. A susceptible, exposed, infected, recovered (SEIR) model for COVID-19 was employed to compare the current dynamics of the disease with those predicted under various scenarios.
Results
The fitted model for the cumulative number of confirmed cases in Bali indicated an effective reproduction number of 1.4. Interventions have decreased the possible maximum number of cases from 71 125 on day 86 to 22 340 on day 119, and have prolonged the doubling time from about 9 days to 21 days. This corresponds to an approximately 30% reduction in transmissions from cases of mild infections. There will be 2780 available hospital beds, and at the peak (on day 132), the number of severe cases is estimated to be roughly 6105. Of these cases, 1831 will need intensive care unit (ICU) beds, whereas the number of currently available ICU beds is roughly 446.
Conclusions
The healthcare system in Bali is in danger of collapse; thus, serious efforts are needed to improve COVID-19 interventions and to prepare the healthcare system in Bali to the greatest extent possible.

Keyword

COVID-19; Forecasting; Healthcare; Indonesia
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