Our Affiliations

MIDAS MIDAS As a collaborative network of scientists, MIDAS leads in researching the use of computational, statistical, and mathematical models to understand infectious disease dynamics and prepare the nation to plan for, detect, and respond to infectious diseases.

NIGMS NIGMS The National Institute of General Medical Sciences (NIGMS) established the Modeling of Infectious Disease Agent Study (MIDAS), to investigate novel computational and mathematical models of existing and emerging infectious diseases.



Opportunities

The CCDD has two funded Master's program slots available for those interested in Infectious Disease research. Click here for more details.

Postdoctoral Fellowships in Infectious Disease Modeling and Statistics. Click here for more details.

Events at HSPH

June 14-15, 2010 The CCDD is proud to hold its first annual symposium entitled "Surveillance for Decision Making in Emerging Diseases: Lessons from the 2009 H1N1 Pandemic Influenza."

Friday afternoons 4-5:00 pm "Chalk Talks" – An informal gathering for researchers in ID-EPI to share their ideas



Recent News

December 8, 2009 The Washington Post
Experts predict flu pandemic could be mildest on record.

September 28, 2009 Two CCDD faculty members, Ted Cohen and Pardis Sabeti were awarded the prestigious NIH New Innovator Award.

September 3, 2009 Press Release - Center for Communicable Disease Dynamics (CCDD) established at the Harvard School of Public Health

August 7, 2009 CCDD Director Marc Lipsitch was a member of the President’s Committee of Advisors of Science and Technology 2009 H1N1 Working Group, and coauthor of their report

Recent Publications

Optimizing infectious disease interventions during an emerging epidemic. Wallinga J, van Boven M, Lipsitch M. Proc. National Acad. Sci., January 2010

The severity of pandemic H1N1 influenza in the United States, from April to July 2009: A Bayesian Analysis. Presanis A; Lipsitch M; De Angelis D; New York City Department of Health and Mental Hygiene, Swine Flu Investigation Team,; Hagy A; Reed C; Riley S; Cooper B; Biedrzycki P; Finelli L.PLoS Med. December 2009

How to maintain surveillance for novel influenza A H1N1 when there are too many cases to count. Lipsitch M, Hayden Frederick G., Cowling Benjamin J., Leung Gabriel M., The Lancet October 3, 2009

Estimation of the reproductive number and the serial interval in early phase of the 2009 influenza A⁄H1N1 pandemic in the USA. Forsberg White L, Wallinga J, Finelli L, et al. Influenza and Other Respiratory Viruses 22 September 2009

Managing and Reducing Uncertainty in an Emerging Influenza Pandemic. Lipsitch M, Riley S, Cauchemez S, et al. NEJM July 9, 2009