Modeling the impacts of contact tracing on an epidemic with asymptomatic infection

Chen, Yahong; Huang, He

doi:10.1016/j.amc.2021.126754

Cited by 7 publications

(3 citation statements)

References 38 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Contact tracing is an effective tool to control transmission of infection 21–23. Modelling studies have estimated the benefit from contact tracing and self-isolation to reduce SARS-CoV-2 transmission 24–26. There is more limited evidence on the actual impact on transmission of the very large-scale contact tracing undertaken during the pandemic.…”

Section: Discussionmentioning

confidence: 99%

“…[21][22][23] Modelling studies have estimated the benefit from contact tracing and self-isolation to reduce SARS-CoV-2 transmission. [24][25][26] There is more limited evidence on the actual impact on transmission of the very large-scale contact tracing undertaken during the pandemic. For contact tracing to be effective, it needs to be timely and reach, as far as possible, all contacts.…”

Section: Unanswered Questions and Future Researchmentioning

confidence: 99%

See 1 more Smart Citation

Evaluating the impact on health outcomes of an event that resulted in a delay in contact tracing of COVID-19 cases in England, September 2020: an observational study

Findlater,

Pierotti,

Turner

et al. 2023

BMJ Open

View full text Add to dashboard Cite

ObjectiveIn September 2020, 15 861 SARS-CoV-2 case records failed to upload from the Second Generation Surveillance System (SGSS) to the Contact Tracing Advisory Service (CTAS) tool, delaying the contact tracing of these cases. This study used CTAS data to determine the impact of this delay on population health outcomes: transmission events, hospitalisations and mortality. Previously, a modelling study suggested a substantial impact.DesignObservational study.SettingEngland.PopulationIndividuals testing positive for SARS-CoV-2 and their reported contacts.Main outcome measuresSecondary attack rates (SARs), hospitalisations and deaths among primary and secondary contacts were calculated, compared with all other concurrent, unaffected cases. Affected SGSS records were matched to CTAS records. Successive contacts and cases were identified and matched to hospital episode and mortality outcomes.ResultsInitiation of contact tracing was delayed by 3 days on average in the primary cases in the delay group (6 days) compared with the control group (3 days). This was associated with lower completion of contact tracing: 80% (95% CI: 79% to 81%) in delay group and 83% (95% CI: 83% to 84%) in control group. There was some evidence to suggest increased transmission to non-household contacts among those affected by the delay. The SAR for non-household contacts was higher among secondary contacts in the delay group than the control group (delay group: 7.9%, 95% CI: 6.5% to 9.2%; control group: 5.9%, 95% CI: 5.3% to 6.6%). There did not appear to be a significant difference between the delay and control groups in the odds of hospitalisation (crude OR: 1.1 (95% CI: 0.9 to 1.2)) or death (crude OR: 0.7 (95% CI: 0.1 to 4.0)) among secondary contacts.ConclusionsOur analysis suggests that the delay in contact tracing had a limited impact on population health outcomes; however, contact tracing was not completed for all individuals, so some transmission events might not be captured.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Unanswered Questions and Future Researchmentioning

confidence: 99%

Evaluating the impact on health outcomes of an event that resulted in a delay in contact tracing of COVID-19 cases in England, September 2020: an observational study

Findlater,

Pierotti,

Turner

et al. 2023

BMJ Open

View full text Add to dashboard Cite

show abstract

“…For these reasons, a smaller-scale cooperative cluster can exist and be maintained near the transition point, which reduces fluctuations of the data points. Over the next few years, our research will primarily focus on the cooperative dynamics of adaptive interaction within the context of virus transmission [50][51][52] in terms of single-layer and multi-layer networks.…”

Section: Robustness Of the System Under Noisementioning

confidence: 99%

Adaptive interaction driven by the learning effect in the spatial prisoner’s dilemma

Li 李,

Zhang 张,

Liu 刘

2024

Chinese Phys. B

View full text Add to dashboard Cite

We propose a computing model in which the individual can automatically adjust the interaction intensity with his mentor according to the learning effect to investigate the cooperative dynamics of spatial prisoner’s dilemma. More specifically, when the cumulative payoff of a learner is more than his reference earning, he will strengthen the interaction with his mentor; otherwise, he will reduce that. The experimental results indicate that this mechanism can improve the emergence of cooperation in networked population, and the driving coefficient of interaction intensity plays an important role in promoting cooperation. Interestingly, under a certain social dilemma condition, there exists the smallest driving coefficient, resulting in optimal cooperation due to the positive feedback effect between the individual’s satisfaction frequency and the number of the effective neighbor. Moreover, we find the experimental results in accord with the ones of theoretical prediction obtained from an extended of the classical pair-approximation. These conclusions obtained by considering the relationship with mentor can provide a new perspective for further study on the dynamics of evolutionary game in structured population.

show abstract

Continuous frequent contact detection over moving objects

Zhang

Shang

et al. 2023

Geoinformatica

View full text Add to dashboard Cite

Modeling the impacts of contact tracing on an epidemic with asymptomatic infection

Cited by 7 publications

References 38 publications

Evaluating the impact on health outcomes of an event that resulted in a delay in contact tracing of COVID-19 cases in England, September 2020: an observational study

Evaluating the impact on health outcomes of an event that resulted in a delay in contact tracing of COVID-19 cases in England, September 2020: an observational study

Adaptive interaction driven by the learning effect in the spatial prisoner’s dilemma

Continuous frequent contact detection over moving objects

Contact Info

Product

Resources

About