FAQ | Print Page | Sign In | Register
WEBINAR: Applications of Likelihood-based inference with non-mechanistic and mechanistic models...
Tell a Friend About This EventTell a Friend
 

This presentation is an expansion on the article on "Modelling the large-scale yellow fever outbreak in Luanda, Angola, and the impact of vaccination," which won second prize for the 2019 Awards for Outstanding Research Article in Biosurveillance in the category of Scientific Achievement.

6/21/2019
When: Friday, June 21, 2019
From 9 - 10:30 am US EST
Where: https://attendee.gotowebinar.com/register/8398128486344900355
United States
Contact: Catherine Tong

« Go to Upcoming Event List  

Registration Link

https://attendee.gotowebinar.com/register/8398128486344900355

Title

Applications of Likelihood-based inference with non-mechanistic and mechanistic models in infectious disease modeling

Description

This presentation is an expansion on the article on "Modelling the large-scale yellow fever outbreak in Luanda, Angola, and the impact of vaccination," which won second prize for the 2019 Awards for Outstanding Research Article in Biosurveillance in the category of Scientific Achievement.

In this talk, Dr. He presents hisrecent works on applications of likelihood-based inference with non-mechanistic and mechanistic models in infectious disease modeling. Examples include modeling of the transmission of influenza, measles, yellow-fever virus, Zika virus, and Lassa-fever virus.  Combined non-mechanistic and mechanistic models, we gain new insight into the mechanisms under the transmission of infectious diseases. 

Presenter

Dr. Daihai He obtained his Ph.D. in Engineering from Xi’an Jiaotong University, China,  in 1999 and Ph.D. in Mathematics from McMaster University, Canada. He had postdoc experiences in Tel Aviv University, Isreal, (2001-2002) and Univeristy of Michingan (2006-2008). He is currently an associate professor in the Department of Applied Mathematics, Hong Kong Polytechnic University, Hong Kong SAR China. He is a mathematical epidemiologist.

Webinar Recording

The recording will be made available in the Knowledge Repository after the call.

Contact Us

INTERNATIONAL SOCIETY FOR
DISEASE SURVEILLANCE

288 Grove St, Box 203
Braintree, MA 02184
(617) 779 - 0880
Email: syndromic@syndromic.org

 

Subscribe to ISDS News