Health
Research shows that app-based Covid-19 contact tracking system has limited effectiveness
According to a study published in the journal, contract tracking apps or manual contract tracking may not be able to contain the epidemic of the Covid-19 pandemic without effective public health management measures, including social distance. Lancet digital health.. This study states that the effectiveness of automated contact tracking systems is very limited.
The authors noted in the discovery that contact tracking restrictions typically include incomplete or incorrect recall of contact events on a case-by-case basis.
He also noted that the time it takes to manually notify a contact may delay quarantine. Also, this process is resource intensive and time consuming.
The researchers analyzed 4,033 records from a database search. Two related studies were identified through a more specialized network, and one was identified from the reference list of included studies.
The authors note that large-scale manual contact tracking is still likely to be needed in most situations, and further research is needed to strengthen the rationale for automated contact tracking.
Factors that determine effectiveness
The effectiveness of contact tracking depends on the condition of the disease. System factors such as timeliness of case identification and contact notifications, contact tracer expertise, case and contact definitions used.
It also depends on contextual social and behavioral factors such as self-reported rates and quarantine compliance.
UCL lead author Isobel Braithwaite said in a statement: “Many modeling studies have noted that while automated contact tracking can support manual contact tracking, the system will have a significant impact on reducing population-scale infections and infections that require strict adherence. Quarantine advice by contact.”
“While automated contact tracing has shown the potential to help reduce Covid-19 infections within the community, our research shows that the urgent need for further evaluation of these apps in public health practices. “It highlights sex,” added Braithwaite.
“None of the studies we have found provide real-world evidence of their effectiveness, and to improve our understanding of how they can support manual contact tracking systems. Braithwaite said further.
Lack of evidence
The review shows that at this time, there is insufficient evidence to justify reliance on automated contact tracking approaches without additional extensive public health control measures. “Currently, notifications from smartphone apps provide advice for quarantine from contact with Covid-19 cases, thereby breaking the chain of communication compared to advice provided by public health contacts. There isn’t enough evidence of how effective it is, says Robert Aldridge of the UCL Institute of Health Informatics.
“We are exploring this evidence gap and urgently looking at how automated approaches can be integrated with existing contact tracking and disease management strategies, and these new digital approaches are cost-effective and equitable. We need to generate evidence about whether or not,” Aldridge said.
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