Author: Hagai Rossman; Ayya Keshet; Smadar Shilo; Amir Gavrieli; Tal Bauman; Ori Cohen; Ran Balicer; Benjamin Geiger; Yuval Dor; Eran Segal
Title: A framework for identifying regional outbreak and spread of COVID-19 from one-minute population-wide surveys Document date: 2020_3_20
ID: lioj0tkn_25
Snippet: Our tool has several potential applications. First, while it does not have the ability to diagnose individual cases of COVID-19 infections, it may help predict future spreading zones a few days before an outbreak occurs, with a high level of accuracy given a sufficient sample size. We currently provide a colormap of Israel by regions of symptoms ratio (Figure 3) , however, as the daily response rate will increase, enough data will be collected, e.....
Document: Our tool has several potential applications. First, while it does not have the ability to diagnose individual cases of COVID-19 infections, it may help predict future spreading zones a few days before an outbreak occurs, with a high level of accuracy given a sufficient sample size. We currently provide a colormap of Israel by regions of symptoms ratio (Figure 3) , however, as the daily response rate will increase, enough data will be collected, enabling us to implement prediction models. These we hope would be leveraged by policy-makers to make informed decisions, by utilization of efficient regional prevention strategies rather than a universal approach. Second, it may also be used to evaluate the effectiveness of prevention strategies implemented by public health organizations, such as the various social distancing measures which are currently being employed in many countries, including Israel. This can be done by measuring the effect of different strategies on reducing the number of symptomatic individuals. Third, it may help in understanding the clinical course of COVID-19 infection by tracking the dynamics of symptoms in the population over time.
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