JMIR Publications

ABSTRACT

Background:

The Coronavirus Disease 2019 (COVID-19) epidemic is still spreading globally. Contact tracing is a vital strategy in epidemic emergency management, but traditional contact tracing faces many limitations in practice. The application of digital technology provides an opportunity for local government to trace the contacts of COVID-19 cases more comprehensively, efficiently, and precisely.

Objective:

Hainan Province, China was selected in this case study for the introduction of a new digital contact tracing method under the centralized model, that is, using graph database algorithm, to analyze multi-source COVID-19 epidemic data to achieve contact tracing on the government’s big data platform. Our research hoped to provide new solutions to break through the limitations of traditional contact tracing by introducing the organizational process, technical process, and main achievements of the digital contact tracing in Hainan Province.

Methods:

Graph database algorithm, which can efficiently process complex relational networks, was applied in Hainan Province, which relies on the government’s big data platform, to analyze multi-source COVID-19 epidemic data and build networks of the relationship among high-risk infected individuals, the general population, vehicles, and public places to identify and trace contacts. We summarized the organizational and technical process of digital contact tracing in Hainan Province based on interviews and data analyses.

Results:

An integrated emergency management command system and a multi-agency coordination mechanism were formed during the emergency management of the COVID-19 epidemic in Hainan Province. The collection, storage, analysis, and application of multi-source epidemic data were realized based on the government’s big data platform using a centralized model. The graph database algorithm is compatible and can analyze multi-source and heterogeneous epidemic big data. These practices quickly and accurately identified and traced 10,871 contacts among hundreds of thousands of epidemic data records and identified 378 most-close contacts and a batch of high-risk infected public places. A confirmed patient was found after quarantine measures were implemented on all contacts.

Conclusions:

An integrated emergency management command system and a multi-agency coordination mechanism were formed during the emergency management of the COVID-19 epidemic in Hainan Province. The collection, storage, analysis, and application of multi-source epidemic data were realized based on the government’s big data platform using a centralized model. The graph database algorithm is compatible and can analyze multi-source and heterogeneous epidemic big data. These practices quickly and accurately identified and traced 10,871 contacts among hundreds of thousands of epidemic data records and identified 378 most-close contacts and a batch of high-risk infected public places. A confirmed patient was found after quarantine measures were implemented on all contacts.