Author: Adam Burns; Alexander Gutfraind
Title: Symptom-Based Isolation Policies: Evidence from a Mathematical Model of Outbreaks of Influenza and COVID-19 Document date: 2020_3_30
ID: d13j2pt5_23
Snippet: is the (which was not peer-reviewed) The copyright holder for this preprint . https://doi.org/10.1101/2020.03. 26.20044750 doi: medRxiv preprint In our baseline scenario, we predicted a median attack rate of 0.27 (Interquartile range, IQR: 0.02-0.58). Implementing a policy of one and two days of home isolation following the last episode of fever decreases the attack rate to 0.12 (0.01-0.42) and 0.03 (0-0.26), respectively ( Table 1 ). The two-day.....
Document: is the (which was not peer-reviewed) The copyright holder for this preprint . https://doi.org/10.1101/2020.03. 26.20044750 doi: medRxiv preprint In our baseline scenario, we predicted a median attack rate of 0.27 (Interquartile range, IQR: 0.02-0.58). Implementing a policy of one and two days of home isolation following the last episode of fever decreases the attack rate to 0.12 (0.01-0.42) and 0.03 (0-0.26), respectively ( Table 1 ). The two-day policy substantially reduced the peak infected (23 to 2 in the median), the outbreak duration (66 to 32 in the median) and the number of person-days spent in the community (143 to 43 in the median). . CC-BY 4.0 International license It is made available under a author/funder, who has granted medRxiv a license to display the preprint in perpetuity.
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