We welcome Dr Arash Saeidpour to the lab. Arash will be working on measles and pertussis in the US, on an NIH-funded project with Dr Shweta Bansall (Georgetown University), Dr Murali Haran (Penn St) and Dr Saad Omer (Emory University).
Pej has been elected to the executive committee of the NIH’s Models of Infectious Disease Agent Study (MIDAS). He will also serve as chair.
For the next four years, Pej will serve on the National Institutes of Health study section, IRAP (Infectious, Reproductive, Asthma and Pulmonary Conditions).
We welcome Dr Jasmina Luczo to the lab. Jaz will be based in the Department of Infectious Diseases (College of Veterinary Medicine, UGA), working on avian influenza viruses in collaboration with Dr Mark Tompkins.
We are delighted to host two international visitors this summer. Dr Claudia Pia Ferreira will be visiting from São Paulo State University, Brazil. She is interested in Dengue epidemiology as well as the evolution of hospital-acquired infections. Dr Seyed Moghadas is from York University, Canada and is known for his expertise on dynamical systems theory, especially mathematical and computational epidemiology.
The Rohani lab welcomes a new postdoc, Dr Afshin Mesbahi, who will be working on statistical inference for mechanistic models.
Pej spoke at a meeting organized by the Bill & Melinda Gates Foundation, addressing the burden of infant pertussis in low and middle income countries. The meeting was held at Emory University.
In the newly published paper by Shrestha et al., we use a mechanistic transmission model within a likelihood framework to infer the nature, strength and duration of the impact of influenza infection on subsequent risk of pneumonia. We find evidence for a short-lived increase of ~100-fold in susceptibility to pneumonia following influenza infection. Our collaborators on this project include Cecile Viboud (Fogarty International Center, NIH), Betsy Foxman (Epidemiology, UMich) and … Continue Reading
Felicia’s paper has been accepted in Parasitology, as part of a special issue on Modelling Infectious Diseases (edited by Andy Fenton, University of Liverpool). In our paper, we used likelihood-based inference applied to mechanistic transmission models to quantify the impact of acellular pertussis vaccine using incidence data from regions of Italy.