Author: Dennis Feehan; Ayesha Mahmud
Title: Quantifying interpersonal contact in the United States during the spread of COVID-19: first results from the Berkeley Interpersonal Contact Study Document date: 2020_4_17
ID: 3e4hdfir_29
Snippet: Changes in population contact patterns drive the disease transmission rate. Thus, quantifying the impact of social distancing policies on close contacts in the population is essential for predicting the trajectory of the outbreak. The BICS study can provide a rapid assessment of the impact of social distancing policies, and can capture trends over time as policies change, as well as variations across cities. These estimates can also provide valua.....
Document: Changes in population contact patterns drive the disease transmission rate. Thus, quantifying the impact of social distancing policies on close contacts in the population is essential for predicting the trajectory of the outbreak. The BICS study can provide a rapid assessment of the impact of social distancing policies, and can capture trends over time as policies change, as well as variations across cities. These estimates can also provide valuable insight into the effectiveness of different social distancing policies, and the potential consequences of relaxing these policies.
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