Community-Based Digital Contact Tracing of Emerging Infectious Diseases: Design and Implementation Study With Empirical COVID-19 Cases

Contact tracing for containing emerging infectious diseases such as COVID-19 is resource intensive and requires digital transformation to enable timely decision-making. This study demonstrates the design and implementation of digital contact tracing using multimodal health informatics to efficiently...

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Vydané v:Journal of medical Internet research Ročník 25; číslo 178; s. e47219
Hlavní autori: Wang, Hsiao-Chi, Lin, Ting-Yu, Yao, Yu-Chin, Hsu, Chen-Yang, Yang, Chang-Jung, Chen, Tony Hsiu-Hsi, Yeh, Yen-Po
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Toronto Journal of Medical Internet Research 08.11.2023
Gunther Eysenbach MD MPH, Associate Professor
JMIR Publications
Predmet:
Analysis
Asymptomatic
Big Data
Closed circuit television
Collaboration
Communicable diseases
Community
Contact tracing
Containment
COVID-19
COVID-19 vaccines
Decision making
Development and progression
Digital transformation
Disease
Disease control
Disease prevention
Disease transmission
Epidemics
Fieldwork
Foreign investments
Foreign labor
Health
Health care policy
Health records
Health services
Households
Immigration
Implementation
Infection
Infections
Infectious diseases
Information
Information systems
Medical decision making
Medical informatics
Medical personnel
Medical records
Medical research
Medicine, Experimental
National health insurance
Occupations
Pandemics
Personal information
Pneumonia
Polymerase chain reaction
Privacy
Public health
Quarantine
Risk assessment
Severe acute respiratory syndrome
Severe acute respiratory syndrome coronavirus 2
Taiwan
Transformation
Travel
Taiwan
ISSN:1438-8871, 1439-4456, 1438-8871
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Shrnutí:Contact tracing for containing emerging infectious diseases such as COVID-19 is resource intensive and requires digital transformation to enable timely decision-making. This study demonstrates the design and implementation of digital contact tracing using multimodal health informatics to efficiently collect personal information and contain community outbreaks. The implementation of digital contact tracing was further illustrated by 3 empirical SARS-CoV-2 infection clusters. The implementation in Changhua, Taiwan, served as a demonstration of the multisectoral informatics and connectivity between electronic health systems needed for digital contact tracing. The framework incorporates traditional travel, occupation, contact, and cluster approaches and a dynamic contact process enabled by digital technology. A centralized registry system, accessible only to authorized health personnel, ensures privacy and data security. The efficiency of the digital contact tracing system was evaluated through a field study in Changhua. The digital contact tracing system integrates the immigration registry, communicable disease report system, and national health records to provide real-time information about travel, occupation, contact, and clusters for potential contacts and to facilitate a timely assessment of the risk of COVID-19 transmission. The digitalized system allows for informed decision-making regarding quarantine, isolation, and treatment, with a focus on personal privacy. In the first cluster infection, the system monitored 665 contacts and isolated 4 (0.6%) cases; none of the contacts (0/665, 0%) were infected during quarantine. The estimated reproduction number of 0.92 suggests an effective containment strategy for preventing community-acquired outbreak. The system was also used in a cluster investigation involving foreign workers, where none of the 462 contacts (0/462, 0%) tested positive for SARS-CoV-2. By integrating the multisectoral database, the contact tracing process can be digitalized to provide the information required for risk assessment and decision-making in a timely manner to contain a community-acquired outbreak when facing the outbreak of emerging infectious disease.
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ISSN:1438-8871
1439-4456
1438-8871
DOI:10.2196/47219