Area of research
Epidemiology · Modeling and Simulation
Research interest
Research interests include Influenza Virus Research Studies, Respiratory viral infections research, COVID-19 epidemiological studies, and Data-Driven Disease Surveillance.
A time-series approach for estimating emergency department visits attributable to seasonal influenza: results from 6 US cities, 2005-2006 to 2016-2017 seasons.
Challenges in defining severe influenza with implications for measuring and communicating influenza vaccine effects.
Effects of age and birth cohort on influenza A virus subtype-specific hospitalization rates, United States 2010-2025.
Interim Findings: October 2025 – January 2026 Influenza Season in the United States
The Burden of All-Cause Mortality Following Influenza-Associated Hospitalizations: Influenza Hospitalization Surveillance Network, 2010-2019.
Asymptomatic and Mildly Symptomatic Influenza Virus Infections by Season: Case-Ascertained Household Transmission Studies, United States, 2017-2023.
Estimating community-wide indirect effects of influenza vaccination: triangulation using mathematical models and bias analysis.
A Bayesian spatial-temporal varying coefficients model for estimating excess deaths associated with respiratory infections.
Influenza-Associated Hospitalization Rates by Underlying Conditions, 2016-2017 to 2019-2020: A Retrospective Cohort Study.
Modeling the Potential Impacts of Outpatient Antiviral Treatment in Reducing Influenza-Associated Hospitalizations in the United States.
Timing of Influenza Antiviral Therapy and Risk of Death in Adults Hospitalized With Influenza-Associated Pneumonia, Influenza Hospitalization Surveillance Network (FluSurv-NET), 2012–2019
The Burden of All-Cause Mortality Following Influenza-Associated Hospitalizations: Influenza Hospitalization Surveillance Network, 2010–2019
Influenza virus shedding and symptoms: Dynamics and implications from a multiseason household transmission study.
Responding to the Return of Influenza in the United States by Applying Centers for Disease Control and Prevention Surveillance, Analysis, and Modeling to Inform Understanding of Seasonal Influenza.
Detection of Novel Influenza Viruses Through Community and Healthcare Testing: Implications for Surveillance Efforts in the United States.
Asymptomatic and mildly symptomatic influenza virus infections by season -- Case-ascertained household transmission studies, United States, 2017-2023
Severity of influenza-associated hospitalisations by influenza virus type and subtype in the USA, 2010–19: a repeated cross-sectional study
Household Transmission of Influenza A Viruses in 2021-2022
Comparison of Influenza and Coronavirus Disease 2019-Associated Hospitalizations Among Children Younger Than 18 Years Old in the United States: FluSurv-NET (October-April 2017-2021) and COVID-NET (October 2020-September 2021).
Developing a sampling methodology for timely reporting of population‐based COVID‐19‐associated hospitalization surveillance in the United States, COVID‐NET 2020–2021
Influenza Antiviral Use in Patients Hospitalized With Laboratory-Confirmed Influenza in the United States, FluSurv-NET, 2015-2019.
Association of Culturable-Virus Detection and Household Transmission of SARS-CoV-2, California and Tennessee, 2020-2022.
Patient and Epidemiological Factors Associated With Influenza Testing in Hospitalized Adults With Acute Respiratory Illnesses, 2016-2017 to 2019-2020.
Acceptability, Feasibility, and Validity of Detecting Respiratory Pathogens During Acute Respiratory Illness in Participant-Collected Swabs in a Low-Income, Community Sample.
Responding to the Return of Influenza in the United States by Applying Centers for Disease Control and Prevention Surveillance, Analysis, and Modeling to Inform Understanding of Seasonal Influenza (Preprint)
Use of At-Home COVID-19 Tests — United States, August 23, 2021–March 12, 2022
Comparison of Influenza and Coronavirus Disease 2019–Associated Hospitalizations Among Children Younger Than 18 Years Old in the United States: FluSurv-NET (October–April 2017–2021) and COVID-NET (October 2020–September 2021)
Estimating COVID-19 Hospitalizations in the United States With Surveillance Data Using a Bayesian Hierarchical Model: Modeling Study
Estimating COVID-19 Hospitalizations in the United States With Surveillance Data Using a Bayesian Hierarchical Model: Modeling Study.
Rates of Severe Influenza-Associated Outcomes Among Older Adults Living With Diabetes—Influenza Hospitalization Surveillance Network (FluSurv-NET), 2012–2017