The Use and Misuse of Mathematical Modeling for Infectious Disease Policymaking: Lessons for the COVID-19 Pandemic. Author(s): James LP, Salomon JA, Buckee CO, Menzies NA|Journal: Med Decis Making|PMID: 33535889| February 2021 Mathematical modeling has played a prominent and necessary role in the current coronavirus disease 2019 (COVID-19) pandemic, with an increasing…
Nowcasting for Real-Time COVID-19 Tracking in New York City: Evaluation Study Using Reportable Disease Data From the Early Stages of the Pandemic. Author(s): Greene SK, McGough SF, Culp GM, Graf LE, Lipsitch M, Menzies NA, Kahn R|Journal: JMIR Public Health Surveill|PMID: 33406053| January 2021 Nowcasting approaches enhance the utility of reportable disease data for trend monitoring by correcting for delays, but implementation details affect…
Evaluation of Nowcasting for Real-Time COVID-19 Tracking – New York City, March-May 2020. Author(s): Greene SK, McGough SF, Culp GM, Graf LE, Lipsitch M, Menzies NA, Kahn R|Journal: medRxiv|PMID: 33106814| October 2020 To account for delays between specimen collection and report, the New York City Department of Health and Mental Hygiene used…
Nowcasting by Bayesian Smoothing: A flexible, generalizable model for real-time epidemic tracking. Author(s): McGough SF, Johansson MA, Lipsitch M, Menzies NA|Journal: PLoS Comput Biol|PMID: 32251464| April 2020 Achieving accurate, real-time estimates of disease activity is challenged by delays in case reporting. "Nowcast" approaches attempt to estimate the…
