Author: Alex Perkins; Sean M. Cavany; Sean M Moore; Rachel J Oidtman; Anita Lerch; Marya Poterek
Title: Estimating unobserved SARS-CoV-2 infections in the United States Document date: 2020_3_18
ID: fb8mca1h_44
Snippet: Because Ï travel and were estimated for each parameter-sensitivity scenario, cumulative infections were relatively similar under the low, baseline, and high scenarios for many parameters. Cumulative infections were most sensitive to assumptions about R, the serial interval, and the timing of imported infections (Fig. S6, Table S2 ). The former two affect how quickly local infections increase, and the latter affects how much time they have to inc.....
Document: Because Ï travel and were estimated for each parameter-sensitivity scenario, cumulative infections were relatively similar under the low, baseline, and high scenarios for many parameters. Cumulative infections were most sensitive to assumptions about R, the serial interval, and the timing of imported infections (Fig. S6, Table S2 ). The former two affect how quickly local infections increase, and the latter affects how much time they have to increase.
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