Managing Covid-19 using Digital Twin Simulation

FK-KMK UGM. To prepare for the potential occurrence of a pandemic in the future, the Department of Health Policy and Management of the Faculty of Medicine, Public Health, and Nursing UGM held a Hybrid Workshop Digital Twin for Health System Resilience on Wednesday (20/12) at the Auditorium floor of the Tahir Postgraduate Building, FK-KMK UGM.

Dean of the Faculty, Prof. Dr. Yodi Mahendradhata, M.Sc., Ph.D., FRSPH, was the first speaker and explained the results of the UN session he attended some time ago. In the session, the UN indirectly conveyed that we have begun living in the pandemic era. For this reason, preparedness is the main key to handling future pandemics.

“When the first Covid-19 case appeared in Indonesia, the Ministry of Health asked us for guidance on whether to lockdown Jakarta or not. The Ministry of Health needed a quick answer, while our team could not give an immediate answer due to a lack of data. After discussing with the team for several days, we finally launched the Modeling of Jakarta Lockdown in April 2020,” explained Prof. Yodi. The model is still very rough because there is not enough data to be used as a reference.

According to Prof. Yodi, there are 4 reflections of decision-making for handling Covid-19: anticipation through simulation, direct decision-making, resilient collaboration, and adaptive education.

Also present were Dr. Souvik Barat from TCS Research India and Dr. Tuan Le from Middlesex University giving a presentation on Digital Twin in handling the Covid-19 pandemic. Digital Twin is a digital representation of a physical object, person, or process, which is contextualized in a digital version of its environment. This technology can help organizations simulate real situations and their results to enable organizations to make better decisions.

Dr. Tuan Le explained some of the key features of the Digital Twin that can be used in pandemic management. The Digital Twin has remote intelligence to operate it, making the execution of simulations more practical. This technology has also been equipped with artificial intelligence that can perform data processing of simulation results.

According to Dr. Souvik, anticipation, prevention, and post-pandemic recovery are 3 things that need to be considered to realize a resilient health system. These three things can be realized if researchers can maximize the benefit of the Digital Twin. (Nirwana/Reporter)

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