Publications

Estimating the cumulative incidence of COVID-19 in the United States using influenza surveillance, virologic testing, and mortality data: Four complementary approaches.

Author(s): Lu FS, Nguyen AT, Link NB, Molina M, Davis JT, Chinazzi M, Xiong X, Vespignani A, Lipsitch M, Santillana M|Journal: PLoS Comput Biol|PMID: 34138845| June 2021

Effectively designing and evaluating public health responses to the ongoing COVID-19 pandemic requires accurate estimation of the prevalence of COVID-19…

Toward the use of neural networks for influenza prediction at multiple spatial resolutions.

Author(s): Aiken EL, Nguyen AT, Viboud C, Santillana M|Journal: Sci Adv|PMID: 34134985| June 2021

Mitigating the effects of disease outbreaks with timely and effective interventions requires accurate real-time surveillance and forecasting of disease activity,…

An early warning approach to monitor COVID-19 activity with multiple digital traces in near real time.

Author(s): Kogan NE, Clemente L, Liautaud P, Kaashoek J, Link NB, Nguyen AT, Lu FS, Huybers P, Resch B, Havas C, Petutschnig A, Davis J, Chinazzi M, Mustafa B, Hanage WP, Vespignani A, Santillana M|Journal: Sci Adv|PMID: 33674304| March 2021

Given still-high levels of coronavirus disease 2019 (COVID-19) susceptibility and inconsistent transmission-containing strategies, outbreaks have continued to emerge across the…

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…