BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//132.216.98.100//NONSGML kigkonsult.se iCalcreator 2.20.4//
BEGIN:VEVENT
UID:20251122T111013EST-7349PAcC9L@132.216.98.100
DTSTAMP:20251122T161013Z
DESCRIPTION:New Models And Data For Estimating HIV Epidemic Trends In Sub-S
 aharan Africa.\n\nJeff Eaton is a Senior Lecturer in HIV Epidemiology at I
 mperial College London. His research interests involve developing new math
 ematical models\, statistical methods\, and surveillance tools to better c
 haracterize epidemiologic trends\, transmission dynamics\, and the demogra
 phic impacts of HIV epidemics in sub-Saharan Africa. He holds a PhD in Inf
 ectious Disease Epidemiology from Imperial College London and an MS in Sta
 tistics from the University of Washington. Jeff is co-chair of the UNAIDS 
 Reference Group on Estimates\, Modelling\, and Projections (www.epidem.org
 ) and co-Investigator of the HIV Modelling Consortium (www.hivmodelling.or
 g). Finally\, he has a deep interest in the collection analysis of longitu
 dinal population cohort data\, working extensively with the Manicaland Cen
 tre for Public Health Research in eastern Zimbabwe and as a co-investigato
 r of the ALPHA Network of general population HIV cohort studies.\n\n	Every 
 year\, UNAIDS supports national governments to create estimates of their H
 IV epidemic\, including estimates of HIV prevalence\, new HIV infections\,
  AIDS deaths\, and the coverage of HIV treatment and prevention programmes
 . These estimates form official national HIV estimates and are used by org
 anizations such as PEPFAR and the Global Fund to guide the global HIV resp
 onse. Estimates are created by fitting a flexible but simple HIV epidemic 
 model to national data sources about HIV prevalence and in a Bayesian stat
 istical framework. In this talk\, I will introduce the data\, mathematical
  models\, and statistical methods that are used for estimating HIV epidemi
 c trends\, describe newly developed models that combine epidemic modelling
  of transmission stochastic processes to more flexibly and accurately esti
 mate and project recent trends\, and discuss opportunities and challenges 
 arising from new data sources for tracking HIV trends\, in particular rout
 inely collected health system data from HIV testing\, care\, and treatment
 .\n
DTSTART:20180205T210000Z
DTEND:20180205T220000Z
LOCATION:Room 521\, McIntyre Medical Building\, CA\, QC\, Montreal\, H3G 1Y
 6\, 3655 promenade Sir William Osler
SUMMARY:Jeffrey W. Eaton\, PhD\, Imperial College London
URL:/mathstat/channels/event/jeffrey-w-eaton-phd-imper
 ial-college-london-284397
END:VEVENT
END:VCALENDAR