Emerging evidence suggests that contact tracing has had limited success in the UK in reducing the R number across the COVID-19 pandemic. We investigate potential pitfalls and areas for improvement by extending an existing branching process contact tracing model, adding diagnostic testing and refining parameter estimates. Our results demonstrate that reporting and adherence are the most important predictors of programme impact but tracing coverage and speed plus diagnostic sensitivity also play an important role. We conclude that well-implemented contact tracing could bring small but potentially important benefits to controlling and preventing outbreaks, providing up to a 15% reduction in R . We reaffirm that contact tracing is not currently appropriate as the sole control measure. Evaluations of the UK’s contact tracing programme have shown that it has had limited impact on COVID-19 control. Here, the authors show that with high levels of reporting and adherence, contact tracing could reduce transmission, but it should not be used as the sole control measure.
【저자키워드】 SARS-CoV-2, viral infection, Epidemiology, Computational models, 【초록키워드】 COVID-19, COVID-19 pandemic, diagnostic, Contact tracing, Transmission, sensitivity, Outbreaks, Coverage, predictor, estimates, Evidence, branching process, parameter, benefit, shown, reducing, reduce, reduction in, 【제목키워드】 COVID-19 transmission,