Potential Applications of Big Data for Managing the COVID-19 Pandemic

Abstract

COVID-19 caused by SARS-CoV-2 is being global pandemic which the number of positive confirmed cases and deaths increase massively and rapidly. Big data is a technology can be used for analysing the trend pattern of coronavirus and prevent the spreading of it. Few countries already use big data as a strategy in managing the ongoing of COVID-19 pandemic. This research uses descriptive analytical research to describe the findings of previous research information with a simplified approach. The aim of this research is knowing how big data used for managing the outbreak of COVID-19 by detecting cases, predicting cases and tracking contact through the use of various data characteristics in some countries around the world. Several countries that have used big data to help manage COVID-19 pandemic are Taiwan, China, Korea, Australia. Taiwan uses credit card and geographic route for tracking the routes of tourists, China uses Baidu Maps Traffic Flow as local maps for knowing distribution of aircraft passenger who have potential high risk to get infected by COVID-19, Korea uses insurance data from Korean National Health Insurance Service for knowing the community with hypertension history who have protentional high risk to get infected by COVID-19 and Australia uses application COVIDSafe for handling the spreading by detecting ambient contact. The ongoing of COVID-19 pandemic in the world has caused the big data technology to be considered to be applied in a country so it hopes can reduce the negative impacts caused in several fields.

How Can Internet Mapping Technologies Contribute to the COVID-19 Fight?

“…In Indonesia, a web GIS portal was developed to provide a feature that allows users to check the number of COVID-19 cases reported within a radius of 3 km, 5 km, and 7 km from their locations, thus helping local commuters avoid areas with a large number of infected patients (33). It can be concluded from that these IMTs have been also widely used for COVID-19 data acquisition during the pandemic in other studies (27,34,35).…”

Approach to the management of COVID-19 patients: When home care can represent the best practice

“…Their management should enable the realization of one mode of differential diagnosis of COVID-19 patients. Obviously, to catalog and analyze so many large datasets, it would be necessary to build valid information technology support for their correct interpretation [13][14][15][16]. It would also be of fundamental importance to consider those cases presenting persistent and prolonged effects after acute COVID-19 [17].…”

Dynamic Task Scheduling Scheme for Processing Real-Time Stream Data in Storm Environments

“…In a sensor network, real-time stream data are used to detect equipment malfunction and monitor maloperation [1,2]. A system that identifies equipment malfunction or maloperation is unable to serve its objective if it fails to assess scenarios and provide appropriate notifications, and therefore, real-time big data processing technology is required for responding within the time defined by users [3,4]. Stream processing platforms are commonly used for real-time stream processing of big data, such as Spark, Storm, and Flink [5][6][7].…”