Emily Toth Martin
· Professor, EpidemiologyUniversity of Michigan · Epidemiology
Active 1977–2025
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About
Emily Toth Martin, PhD, MPH, is a Professor of Epidemiology at the U-M School of Public Health and serves as the Director of Doctoral Studies in Epidemiology. Her research focuses on infectious diseases and respiratory viruses, including influenza, SARS-CoV-2, and RSV, with an emphasis on strategies to prevent and treat infections. Her work includes studies of vaccine effectiveness and virus transmission in community, hospital, and ambulatory settings. Dr. Martin's scientific contributions involve improving observational designs for measuring vaccine effectiveness and conducting immunologic studies of correlates of protection. Her research encompasses epidemiology and transmission of respiratory viruses, with active surveillance studies evaluating patterns of viral transmission in households, child cares, and other settings. She oversees a large field team and laboratory supporting virus detection and immune correlates. Dr. Martin is a core investigator for several CDC networks and the NIAID Centers of Excellence for Influenza Research and Response. Her work aims to build a greater understanding of viral respiratory disease epidemiology and the effectiveness of vaccines, utilizing virus surveillance and molecular epidemiology to identify strategies to reduce infections. She has contributed to outbreak response efforts, rapid deployment of molecular surveillance, and environmental mitigation strategies in childcare settings. Her research also includes studying RSV…
Research topics
- Medicine
- Internal medicine
- Computer Science
- Political Science
- Pediatrics
- Artificial Intelligence
- Geography
- Economics
- Business
- Econometrics
Selected publications
Association Between mRNA Vaccination and COVID-19 Hospitalization and Disease Severity
JAMA · 2021 · 679 citations
Importance: A comprehensive understanding of the benefits of COVID-19 vaccination requires consideration of disease attenuation, determined as whether people who develop COVID-19 despite vaccination have lower disease severity than unvaccinated people. Objective: To evaluate the association between vaccination with mRNA COVID-19 vaccines-mRNA-1273 (Moderna) and BNT162b2 (Pfizer-BioNTech)-and COVID-19 hospitalization, and, among patients hospitalized with COVID-19, the association with progressio…
BMJ · 2022 · 677 citations
OBJECTIVES: To characterize the clinical severity of covid-19 associated with the alpha, delta, and omicron SARS-CoV-2 variants among adults admitted to hospital and to compare the effectiveness of mRNA vaccines to prevent hospital admissions related to each variant. DESIGN: Case-control study. SETTING: 21 hospitals across the United States. PARTICIPANTS: 11 690 adults (≥18 years) admitted to hospital: 5728 with covid-19 (cases) and 5962 without covid-19 (controls). Patients were classified into…
Tocilizumab for Treatment of Mechanically Ventilated Patients With COVID-19
Clinical Infectious Diseases · 2020 · 498 citations
BACKGROUND: Severe coronavirus disease 2019 (COVID-19) can manifest in rapid decompensation and respiratory failure with elevated inflammatory markers, consistent with cytokine release syndrome for which IL-6 blockade is an approved treatment. METHODS: We assessed effectiveness and safety of IL-6 blockade with tocilizumab in a single-center cohort of patients with COVID-19 requiring mechanical ventilation. The primary endpoint was survival probability postintubation; secondary analyses included…
Proceedings of the National Academy of Sciences · 2022 · 311 citations
Short-term probabilistic forecasts of the trajectory of the COVID-19 pandemic in the United States have served as a visible and important communication channel between the scientific modeling community and both the general public and decision-makers. Forecasting models provide specific, quantitative, and evaluable predictions that inform short-term decisions such as healthcare staffing needs, school closures, and allocation of medical supplies. Starting in April 2020, the US COVID-19 Forecast Hu…
The United States COVID-19 Forecast Hub dataset
Scientific Data · 2022 · 126 citations
Academic researchers, government agencies, industry groups, and individuals have produced forecasts at an unprecedented scale during the COVID-19 pandemic. To leverage these forecasts, the United States Centers for Disease Control and Prevention (CDC) partnered with an academic research lab at the University of Massachusetts Amherst to create the US COVID-19 Forecast Hub. Launched in April 2020, the Forecast Hub is a dataset with point and probabilistic forecasts of incident cases, incident hosp…
Recent grants
Defining Precursors to VRSA Emergence: Epidemiology of MRSA & VRE Dual Infection
NIH · $641k · 2012–2017
Frequent coauthors
- 2318 shared
Manjusha Gaglani
Baylor Scott & White Health
- 2062 shared
Adam S. Lauring
New York Proton Center
- 2000 shared
Los Angeles
KU Leuven
- 1997 shared
Yuwei Zhu
Vanderbilt University Medical Center
- 1988 shared
Wesley H. Self
Vanderbilt University Medical Center
- 1986 shared
Adit A. Ginde
University of Colorado Denver
- 1985 shared
Kevin W. Gibbs
Wake Forest University
- 1887 shared
Natasha Halasa
Vanderbilt University Medical Center
Awards & honors
- 2021 UM Presidential Award for State and National Leadership
- UM Institute for Healthcare Policy and Innovation Impact Acc…
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