Presented by Dr. Faith Osier, Professor of Immunology at Heidelberg University, Germany, and Executive Director of the IAVI Human Immunology Laboratory at Imperial College London. Register for the event here. Faith Osier trained as a paediatrician in Kenya, specialized in immunology in Liverpool, and obtained a PhD from the Open University in the UK. Her work in malaria vaccine development focuses on vaccine candidate discovery, the identification of correlates of protection…

Continue reading "Fc-dependent IgG parasite clearance as a guide for vaccine development against P. falciparum malaria (ID Epi Seminar Series)"

This event will feature Caroline Buckee and be hosted by CrisisReady. Learn more about the event here. Register here. Throughout the Covid-19 pandemic digital data on human mobility has played crucial roles in response efforts ranging from monitoring non-pharmaceutical interventions like physical distancing, evaluating different types of testing and seroprevalence strategies, and assisting with targeted re-opening efforts to maximize health and reduce economic harm. But persistent questions remain about the…

Continue reading "Ground Truth Matters: Travel Surveys, Covid-19, and the Limits of Human Mobility Data"

Presented by Dr. Bryan Bryson, Assistant Professor of Biological Engineering at the Massachusetts Institute of Technology. Register for the event here. Dr. Bryon's interests lie at the intersection of infectious disease, innate immunity and systems biology. At his lab, he develops biochemical and computational tools to decipher macrophage function during infection and across a variety of diseases and states to understand the generalizable molecular features that govern innate immune function. Dr.…

Continue reading "Engineering the host-pathogen interface (ID Epi Seminar Series)"

This event will feature Mauricio Santillana and be hosted by New York University's Center for Urban Science and Progress. Learn more about the event here. Register here. I will describe data-driven machine learning methodologies that leverage Internet-based information from search engines, Twitter microblogs, crowd-sourced disease surveillance systems, electronic medical records, and weather information to successfully monitor and forecast disease outbreaks in multiple locations around the globe in near real-time. I…

Continue reading "Data-driven machine learning approaches to monitor and forecast the dynamics of disease outbreaks"

This event will feature Caroline Buckee as part of the World Migration and Displacement Symposium. Learn more about and register for the symposium here. Vulnerable populations are some of the hardest to measure. We have an astounding 1 billion people who are still not represented in detail in any public data source. We are in the midst of a global refugee crisis of nearly 80 million people. During migration, especially when…

Continue reading "Data, Disinformation, and Human Mobility: Vulnerable Populations"

This event will feature Marc Lipsitch and be hosted by the Department of Ophthalmology of the University of California, San Francisco. Learn more here. Link forthcoming.  

This event will feature Michael Mina and be hosted by Harvard T.H. Chan School of Public Health. Learn more and join here. "The global coronavirus pandemic picture is mixed. While vaccination rates increase and death rates drop in some countries, others are struggling with deadly surges and vaccine shortages. Meanwhile, COVID variants are driving questions about approaches to curb the pandemic. In this Forum, infectious disease and global health experts will…

Continue reading "The Global Pandemic Crisis: Variants, Surges, and Vaccines"

This event will feature Mauricio Santillana and be hosted by SIAM Mexico. A fee is required to attend. Learn more about the Annual Meeting here. Register here. The Annual Meeting aims to offer a platform for applied scientists from different institutions to interact. There will be plenary and contributed talks, parallel sessions and posters presentations for researchers and graduate students to present their work.

This event will feature Marc Lipsitch as a keynote speaker and be hosted by the Society for Epidemiologic Research. Learn more about his session here. Learn more about the conference here. Register here. A fee is required to attend. Martha Werler of Boston University will chair Lipsitch's session and moderate his Q&A.  

This event will feature Caroline Buckee and be hosted by Applied Machine Learning Days. Learn more and register here. A fee is required to attend. During the COVID-19 pandemic, public health advice, stay-at-home orders, and self-imposed limitations have dramatically changed human behaviors on a global scale. For the first time in an epidemic, such an unprecedented natural experiment has been sensed through digital platforms in real-time. Digital traces such as mobile…

Continue reading "The use of mobile phone data to inform analysis of COVID-19 pandemic epidemiology"