Daniel Weinberger, PhD
Associate Professor TenureCards
About
Titles
Associate Professor Tenure
Co-director, Public Health Modeling Concentration; Affiliated Faculty, Yale Institute for Global Health
Biography
Dan Weinberger is an Associate Professor in Epidemiology of Microbial Diseases at Yale School of Public Health. His research uses a combination of quantitative analysis, laboratory experiments and field work to understand the epidemiology and biology of respiratory infections. Recent work has focused on developing novel analytical methods for the evaluation of vaccines using time series and spatial data. He collaborates widely with public health agencies and academic organizations around the world on these issues. He earned his PhD in biological sciences from Harvard School of Public Health, with a focus on Infectious Disease Epidemiology, and completed a postdoctoral fellowship in the Division of International Epidemiology and Population Studies in the Fogarty International Center at the NIH.
Research: The research in the Weinberger Lab is at the intersection of microbiology and epidemiology. We focus on understanding the biological and epidemiological drivers of respiratory infections, including pneumococcus, RSV, influenza, and Legionella. Major research areas include understanding the biological drivers of the emergence of rare pneumococcal serotypes following vaccine introduction, developing novel statistical approaches to evaluate vaccine impact from observational data, evaluating the importance of interactions among respiratory pathogens, and understanding environmental drivers of Legionellosis. We employ a variety of tools including experimental and quantitative approaches. Our work is funded by grants from the NIH/NIAID, the Bill and Melinda Gates Foundation, and the Emerging Infections Program (a collaboration between the CDC, the Connecticut Department of Public Health, and Yale). You can learn more about our research here.
Teaching: I teach the Public Health Surveillance course at YSPH. This class uses a mix of lectures, cases studies, and hands on data analysis exercises. Students learn to perform common surveillance analyses including aberration detection (e.g., CUSUM), time series analysis, and spatial cluster detection (SATSCAN). Students learn to do these analyses in either SAS or R.
Appointments
Epidemiology of Microbial Diseases
Associate Professor TenurePrimary
Other Departments & Organizations
- Climate Change and Health
- CPIRT - Center for Pulmonary Injury, Inflammation, Repair and Therapeutics
- Epidemiology of Microbial Diseases
- Public Health Data Science and Data Equity
- Public Health Modeling
- Weinberger Lab
- Yale Institute for Global Health
- Yale School of Public Health
- Yale-UPR Integrated HIV Basic and Clinical Sciences Initiative
- YSPH Global Health Concentration
Education & Training
- Postdoctoral Fellow
- Harvard School of Public Health (2022)
- Post-doctoral fellow
- Fogarty International Center, National Institutes of Health (2012)
- PhD
- Harvard University (2009)
Research
Overview
I focus on identifying policy-relevant strategies to reduce the burden of vaccine-preventable respiratory diseases by using a unique combination of cutting-edge quantitative analysis, experimental tools, and community-based sampling. I use this unique combination of tools to understand the impact of existing interventions and to guide the development of more effective approaches. My work has received international exposure at meetings of the WHO and PAHO, and I have provided technical consultations based on my work to the CDC, WHO, GAVI The Vaccine Alliance, and numerous vaccine manufacturers (Pfizer, Merck, GSK, Affinivax, Matrivax). The lab has been supported by a diverse grant portfolio that includes funding from the NIH, the Bill and Melinda Gates Foundation, Pfizer, Merck, the Department of Veterans Affairs, and the Connecticut Emerging Infection Program. My work has focused largely on understanding the impacts of vaccines (against pneumococcus HPV, RSV), on developing improved vaccination strategies for children and adults, and on developing novel quantitative methods to evaluate the impact of public health interventions. This research employs a variety of methods including statistical and dynamic modeling, experimental microbiology, and bioinformatics. More recently, we have started performing field studies to understand the transmission dynamics of respiratory pathogens among adults in the US.
Medical Subject Headings (MeSH)
Academic Achievements & Community Involvement
News & Links
News
- September 23, 2024Source: ContagionLive
Vaccination Impact on COVID-19 Mortality in Latin America and the Caribbean
- March 11, 2024
Excess Deaths During the COVID-19 Pandemic
- November 20, 2023
Teaming Up to Help Vaccine Decision-Making
- August 17, 2023Source: CNN
This year’s RSV season may come at the typical time, experts predict, and new tools may help the fight