ArticleJMIR mHealth and uHealth2021
Digital Contact Tracing Based on a Graph Database Algorithm for Emergency Management During the COVID-19 Epidemic: Case Study.
Article in JMIR mHealth and uHealth, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07175571 (Prospective Randomized Sibling-Oocyte Trial Comparing Fertilization and Embryo Development Outcomes Between Intracytoplasmic Sperm Injection), which is not on this map. Cited by 7 papers.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Prospective Randomized Sibling-Oocyte Trial Comparing Fertilization and Embryo Development Outcomes Between Intracytoplasmic Sperm Injection (ICSI) and Conventional IVF Using Frozen Donor Sperm
Who cites it
7 citing papers in PubMed.
- How can timeliness and accuracy be balanced? The surveillance information reporting mechanism for public health emergencies based on the online direct reporting system.BMC public health · 2025Article
- Digital Contact Tracing Implementation Among Leaders and Health Care Workers in a Pediatric Hospital During the COVID-19 Pandemic: Qualitative Interview Study.JMIR public health and surveillance · 2024Article
- Characterizing superspreading potential of infectious disease: Decomposition of individual transmissibility.PLoS computational biology · 2022Article
- Delineating privacy aspects of COVID tracing applications embedded with proximity measurement technologies & digital technologies.Technology in society · 2022Article
- Can Digital Transformation Promote the Rapid Recovery of Cities from the COVID-19 Epidemic? An Empirical Analysis from Chinese Cities.International journal of environmental research and public health · 2022Article
- Application of artificial intelligence in COVID-19 medical area: a systematic review.Journal of thoracic disease · 2021Review
- The application framework of big data technology in the COVID-19 epidemic emergency management in local government-a case study of Hainan Province, China.BMC public health · 2021Article
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe COVID-19 epidemic is still spreading globally. Contact tracing is a vital strategy in epidemic emergency management; however, traditional contact tracing faces many limitations in practice. The application of digital technology provides an opportunity for local governments to trace the contacts of individuals with COVID-19 more comprehensively, efficiently, and precisely.
objectiveOur research aimed to provide new solutions to overcome the limitations of traditional contact tracing by introducing the organizational process, technical process, and main achievements of digital contact tracing in Hainan Province.
methodsA graph database algorithm, which can efficiently process complex relational networks, was applied in Hainan Province; this algorithm relies on a governmental big data platform to analyze multisource COVID-19 epidemic data and build networks of relationships 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.
resultsAn 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 multisource epidemic data were realized based on the government's big data platform using a centralized model. The graph database algorithm is compatible with this platform and can analyze multisource and heterogeneous big data related to the epidemic. These practices were used to quickly and accurately identify and trace 10,871 contacts among hundreds of thousands of epidemic data records; 378 closest contacts and a number of public places with high risk of infection were identified. A confirmed patient was found after quarantine measures were implemented by all contacts.
conclusionsDuring the emergency management of the COVID-19 epidemic, Hainan Province used a graph database algorithm to trace contacts in a centralized model, which can identify infected individuals and high-risk public places more quickly and accurately. This practice can provide support to government agencies to implement precise, agile, and evidence-based emergency management measures and improve the responsiveness of the public health emergency response system. Strengthening data security, improving tracing accuracy, enabling intelligent data collection, and improving data-sharing mechanisms and technologies are directions for optimizing digital contact tracing.
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