Discussion on “Regression Models for Understanding COVID-19 Epidemic Dynamics With Incomplete Data”
Author:
Affiliation:
1. Department of Statistics, Virginia Polytechnic Institute and State University, Blacksburg, VA;
2. Department of Biostatistics, University of Michigan, Ann Arbor, MI
Publisher
Informa UK Limited
Subject
Statistics, Probability and Uncertainty,Statistics and Probability
Link
https://www.tandfonline.com/doi/pdf/10.1080/01621459.2021.1982721
Reference21 articles.
1. False-negative results of initial RT-PCR assays for COVID-19: A systematic review
2. Population-scale longitudinal mapping of COVID-19 symptoms, behaviour and testing
3. Bhaduri, R., Kundu, R., Purkayastha, S., Kleinsasser, M., Beesley, L. J., and Mukherjee, B. (2020), “Extending the Susceptible-Exposed-Infected-Removed (SEIR) Model to Handle the High False Negative Rate and Symptom-Based Administration of Covid-19 Diagnostic Tests: SEIR-fansy,” Medrxiv.
4. A Predictive Model for the Evolution of COVID-19
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