Multi-scale Modeling for Viral Pandemics (4/1/2021)
Rita Colwell Slides, Video, Abstract: Models developed for understanding and predicting outbreaks of cholera, based on work done in the Chesapeake Bay and the Bay of Bengal, today assist UNICEF and aid agencies in predicting risk of cholera in Yemen and other countries of the African continent. With onset of COVID-19, the models were modified and used to predict risk of COVID-19, the current pandemic of coronavirus.
Multi-scale Modeling for Viral Pandemics (4/8/2021)
James Moore, Jr.
Multi-scale Modeling for Viral Pandemics (4/15/2021)
Winston Garira Slides, Video, Abstract: Most scientific fields have been made over with a revolutionary theory at least once in recent centuries. Such paradigm shifts reorder old knowledge into a new framework. Revolutionary theories succeed when the new framework they introduce makes it possible to solve problems that challenged the previous intellectual regime.
IMAG/MSM Working Group on Multi-scale Modeling for Viral Pandemics, Thursday, April 29 3 pm EDT
Thursday, April 29 at 3 pm Eastern Daylight Time (EDT). To attend:
https://iu.zoom.us/meeting/register/tZYqd-2srD8tGtCXDem4Cka08rBz5fDW0EQR
(1) Penelope Morel, University of Pittsburgh
(2) Katherine L. Morse, IEEE Fellow, Principal Professional Staff, JHU/APL. Title: Standards and standards development.
Multi-scale Modeling and Viral Pandemics (4/22/2021)
- Debra Peters Slides, Video, USDA, Los Cruces. Title: Cross-scale interactions and catastrophic events: towards a predictive model of the spread of vector-borne diseases. Abstract: Predicting the processes and environmental drivers of incursion and expansion of vector-borne diseases is a major challenge that needs to be met for geographically-extensive diseases leading to catastrophic events.
3 Job Opportunities in medical modeling, computational biology and biostatistics at Eastern Virginia Medical School
The Digital Patient Project Eastern Virginia Medical School
EVMS is recruiting for three positions in medical modeling, computational biology and biostatistics. The professionals recruited into this team will work with other faculty and staff in a consortium program focused on the development of a digital patient platform and analytic, diagnostic and therapeutic applications.