Publications

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…

Rates of increase of antibiotic resistance and ambient temperature in Europe: a cross-national analysis of 28 countries between 2000 and 2016.

Author(s): McGough SF, MacFadden DR, Hattab MW, Mølbak K, Santillana M|Journal: Euro Surveill|PMID: 33183408| November 2020

BackgroundThe rapid increase of bacterial antibiotic resistance could soon render our most effective method to address infections obsolete. Factors influencing…

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…

Real-time estimation of disease activity in emerging outbreaks using internet search information.

Author(s): Aiken EL, McGough SF, Majumder MS, Wachtel G, Nguyen AT, Viboud C, Santillana M|Journal: PLoS Comput Biol|PMID: 32804932| August 2020

Understanding the behavior of emerging disease outbreaks in, or ahead of, real-time could help healthcare officials better design interventions to…

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…