Multidisciplinary Big-Data Sharing, Analysis, and Policy Recommendations to Support COVID-19 Pandemic Response

Dr Damar Susilaradeya1, Dr Prasandhya Astagiri Yusuf1, Gina Anindyajati1 , Dr Ahmad Gamal2, Dr Adila Alfa Krisnadhi3, Dr Bagus  Takwin4, Jarot Mulyo Semedi5, Iwan Ariawan6, Rus’an Nasrudin7, Dr Hervita Diatri1, Ima Mayasari8, Prof Budi Wiweko1

1Faculty of Medicine Universitas Indonesia, Depok, Indonesia
2Faculty of Engineering Universitas Indonesia, Depok, Indonesia
3Faculty of Computer Sciences Universitas Indonesia, Depok, Indonesia
4Faculty of Psychology Universitas Indonesia, Depok, Indonesia
5Faculty of Mathematics and Natural Sciences Universitas Indonesia, Depok, Indonesia
6Faculty of Public Health Universitas Indonesia, Depok, Indonesia
7Faculty of Economics & Business Universitas Indonesia, Depok, Indonesia
8Faculty of Administrative Science Universitas Indonesia, Depok, Indonesia

Introduction

The COVID-19 pandemic requires massive actions across multiple disciplines to prevent extended consequences. Indonesia as a multi-cultural archipelago with more than 260 million population faces a unique challenge in addressing the pandemic. Universitas Indonesia formed a multidisciplinary research group analysing big data in collaboration with various academic, government, and industry partners to inform the national COVID-19 committee.

Methods

We analysed data related to the large-scale social restriction implemented by the government. We looked at COVID-19 cases, mobility data, mental health status, health-related, and economic behaviours. We performed spatial analysis using Geographical Information System (GIS) to map region-specific risks that require tailored government intervention.

Results and discussions

This multidisplinary approach allowed us to have a comprehensive and well-rounded view of the problem our nation is facing which was then translated into big-data driven policy recommendations. We faced several challenges during the process of this research utilising big-data from various resources, including variability (variety of data), validity (study design, power of study, statistics), reproducibility (transparency and open science), and responsibility (ethics, security, and privacy). These challenges need to be addressed in order to provide the government with accurate scientific COVID-19 advice. Moreover, joint collaborations providing the necessary human resources, software platforms and computational infrastructure during COVID-19 and beyond are needed specifically to be able to do responsible data sharing and data mining.


Biography:

Damar Susilaradeya is a researcher at the Medical Technology Cluster Indonesian Medical Education and Research Institute (IMERI) Faculty of Medicine Universitas Indonesia. She is also a lecturer at the Medical Physics Department at the Faculty of Medicine Universitas Indonesia. She is the coordinator of Universitas Indonesia Big-Data Synergy Against COVID-19 team.

About the conference

eResearch Australasia provides opportunities for delegates to engage, connect, and share their ideas and exemplars concerning new information centric research capabilities, and how information and communication technologies help researchers to collaborate, collect, manage, share, process, analyse, store, find, understand and re-use information.

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