id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-308328-wfiqbu3m	Upadhyay, Ranjit Kumar	Age-group-targeted testing for COVID-19 as a new prevention strategy	2020-09-01		.txt	text/plain	4788	271	56	We observe a marked flattening of the infection curve upon simulating increased testing in the 15–40 year age groups in India. Robust testing and tracing are key to containing the pandemic and effectively 'flattening' the infection curve, both by distributing cases over a longer period of time and by reducing the total number of cases, and thus lowering the epidemic peak. Here, we leverage the emerging information from COVID-19 in different countries, mainly USA, Italy and India, to develop a COVID-19 specific model that can inform on effective interventions for coronavirus containment. Our model recommends that testing and tracing be ramped up in the 15-40-year age-group population in India in order to flatten the infection curve in shortest time possible in the current situation. Finally, we have proposed a novel method of age-group-targeted testing to tackle the situation and have also showed how it can help in flattening the curve effectively.	./cache/cord-308328-wfiqbu3m.txt	./txt/cord-308328-wfiqbu3m.txt