id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-340461-hebe5cjb	Brooks-Pollock, E.	Using social contact data to predict and compare the impact of social distancing policies with implications for school re-opening	2020-07-27		.txt	text/plain	3212	162	51	Results We demonstrate that pre-collected social contact data, combined with incidence data and Google Community Mobility Reports, is able to provide a time-varying estimate of the reproduction number (R). In this study, we use social contact data [5] , including an additional targeted survey of children, to quantify the impact of re-opening schools on the reproduction number in the UK [9] . In this paper, we demonstrate that a combination of early death counts and social contact data provide sufficient information to estimate the potential impact of combinations of social distancing measures on the reproduction number for COVID-19 in the United Kingdom. Using metrics of adherence to social distancing measures, such as Google mobility or contemporary social contact surveys, it is possible to map the country's progression across figure 1, and therefore estimate the effect of policy changes on the reproduction number and hence the population attributable fraction of cases due to multiple combined interventions [17] .	./cache/cord-340461-hebe5cjb.txt	./txt/cord-340461-hebe5cjb.txt