01/20/2017 - 12:15pm
Matt Hayat, GSU: “Model-based Prediction of Solar Particle Events.” Matt Hayat is an associate professor in Epidemiology and Biostatistics for the School of Public Health at Georgia State University. His research interests include clinical trials, biostatistics education, and interdisciplinary collaboration and consulting.
01/26/2017 - 4:00pm
The UGA Global Health Institute invites you to our Spring 2017 monthly seminar series. Coming up is a presentation titled: “Evaluation of a community-based service learning program in a rural Ecuadorian population” on Thursday January 26th, 4.00pm-5.00pm in Wright Hall, Annex Auditorium on the Health Sciences Campus. Dr. Phaedra Corso, UGA Foundation Professor and Director of Economic Evaluation Research Group, Department of Health Policy and Management will be the speaker. This is an opportunity for faculty, staff and students to learn about ongoing work in global health in the college of public health and at UGA. The seminar is open to all faculty, staff, graduate students as well as undergraduates interested in the global health Minor and Certificate programs. We look forward for your attendance. Coffee, tea and snacks with a “global theme” will be provided; doors open at 3.45pm. Upcoming dates: February 23rd March 30th April 27th
01/27/2017 - 12:15pm
Ben Lopman, Emory: “The epidemiology of enteric viruses: from local to global” Ben Lopman is an infectious disease epidemiologist whose research focuses on enteric virus, including rotavirus and norovirus. He is Associate Professor in the Department of Epidemiology at Emory University, Rollins School of Public Health, and jointly appointed to the Department of Environmental Health. Prior to joining Emory RSPH in 2016, Dr. Lopman was an epidemiologist with the Division of Viral Diseases at the CDC. His research is directed at understanding the epidemiology of viral gastroenteritis as well as developing effective methods for their control, including vaccination. Dr. Lopman has authored over 150 peer-reviewed publications on infectious disease epidemiology.
01/27/2017 - 3:30pm
This is a general internship informational session and a chance to look at a list of possible sites available. Please contact Nina Cleveland for more information at firstname.lastname@example.org.
01/30/2017 - 5:00pm
International placement deadlines: 1/30/2017: Fully signed Proposal documents due New MOU requests due Domestic Placement deadlines: 2/27/2017: Fully signed proposal documents due New MOU requests due Please refer to the Field Placement webpage for time line and links to forms: https://www.publichealth.uga.edu/fieldplacement
02/03/2017 - 12:15pm
Kaja Abbas, Virginia Tech: “Economic evaluation of infectious disease prevention and control programs: Influenza, gonorrhea and chlamydia.” Kaja Abbas is an Assistant Professor in the Department of Population Health Sciences at Virginia Tech. His research focus is on infectious disease system dynamics and public health systems research. He directs the Disease & Health System Dynamics Lab, which focuses on understanding and analysis of disease dynamics to improve the organization and financing of disease prevention and control programs delivered by the health system. He received his B.Tech. in Metallurgical and Materials Engineering from Indian Institute of Technology, Kharagpur, MS and PhD in Computer Science from the University of North Texas, and MPH in Public Health from the University of Rochester. He conducted his postdoctoral research in epidemiological modeling of infectious diseases at the University of California, Irvine and University of Rochester.
02/10/2017 - 12:15pm
Russell Kempker, Emory: “Drug Resistant Tuberculosis: Current Situation and Promising Advancements” Russell Kempker is an Assistant Professor of Medicine in the Division of Infectious Diseases, Emory University School of Medicine. His interests are focus on TB clinical and translational research and research mentorship. His main research focus is on the intersection of pharmacology, genetics and drug resistance among patients with drug resistant tuberculosis and the impact of new TB diagnostic tests. He is also the Associate Director of two NIH Fogarty Global Infectious Diseases Training Programs in the Country of Georgia and Ethiopia, helping provide research training and career mentorship to junior investigators.
02/17/2017 - 12:15pm
Sonja Rasmussen, CDC: “Zika Virus: What We Know and What We Need to Know” Dr. Sonja Rasmussen is the Director of the Division of Public Health Information Dissemination and the Editor-in-Chief of CDC’s Morbidity and Mortality Weekly Report. Since joining CDC in 1998, Dr. Rasmussen has held several positions in the National Center on Birth Defects and Development Disabilities (NCBDD) including Medical Officer, Associate Director for Science, and Senior Scientist. While at NCBDD, she worked collaboratively with other experts across CDC on pandemic planning efforts for pregnant women that guided CDC recommendations for pregnant women during the 2009 H1N1 pandemic. During 2011–2014, she served as Deputy Director of the Influenza Coordination Unit, which is responsible for CDC’s pandemic influenza preparedness from strategy through implementation. Most recently, Dr. Rasmussen served as the Acting Director of the Office of Public Health Preparedness and Response (OPHPR), the office responsible for CDC's public health preparedness and response activities, including CDC’s Emergency Operations Center.
02/24/2017 - 12:15pm
Daniel Linder, Augusta U: “Parameter inference in stochastic dynamical systems from biology" Daniel Linder is an Assistant Professor of Biostatistics in the Medical College of Georgia at Augusta University. His interests lie broadly in mathematics and statistics, with main research focuses on stochastic dynamical modeling of gene regulatory networks and disease epidemics as well as high-dimensional Bayesian variable selection and machine learning. An important aspect of some of his recent work is developing Bayesian strategies for inference of reaction network topology; i.e., learning biological network structures from experimental data.