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Effect of Adjustment for Case Misclassification and Infection Date Uncertainty on Estimates of COVID-19 Effective Reproduction Number
Author(s) -
Neal D. Goldstein,
Harrison Quick,
Igor Burstyn
Publication year - 2021
Publication title -
epidemiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.901
H-Index - 173
eISSN - 1531-5487
pISSN - 1044-3983
DOI - 10.1097/ede.0000000000001402
Subject(s) - covid-19 , medicine , statistics , pandemic , credible interval , confidence interval , public health surveillance , demography , cusum , public health , mathematics , disease , nursing , sociology , infectious disease (medical specialty)
Surveillance data captured during the COVID-19 pandemic may not be optimal to inform a public health response, because it is biased by imperfect test accuracy, differential access to testing, and uncertainty in date of infection.

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