BEGIN:VCALENDAR
VERSION:2.0
PRODID:Linklings LLC
BEGIN:VTIMEZONE
TZID:Europe/Stockholm
X-LIC-LOCATION:Europe/Stockholm
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:19700308T020000
RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=-1SU
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:19701101T020000
RRULE:FREQ=YEARLY;BYMONTH=10;BYDAY=-1SU
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20220812T074357Z
LOCATION:Montreal Room
DTSTART;TZID=Europe/Stockholm:20220629T090000
DTEND;TZID=Europe/Stockholm:20220629T095000
UID:submissions.pasc-conference.org_PASC22_sess128_key102@linklings.com
SUMMARY:IK03 - The Challenges of Modern Epidemiology: From Classical Field
  Studies to Complex Models
DESCRIPTION:Keynote\n\nIK03 - The Challenges of Modern Epidemiology: From 
 Classical Field Studies to Complex Models\n\nKeiser\n\nJohn Snow’s investi
 gations on cholera outbreaks in London in 1854 are often considered to be 
 the origin of epidemiology. By depicting cases on a map, he detected the c
 ause of the disease. In recent times, the methods used in epidemiological 
 research have become increasingly complex and include various inputs, incl
 uding data on genetic sequences, the environment, and human behavior. This
  information can be processed in real time and support immediate decision 
 making. In parallel, the amount of published literature is increasing expo
 nentially and open science allows everyone to access and reproduce analyse
 s. However, the COVID-19 pandemic highlighted substantial shortcomings in 
 epidemiologic surveillance. Without capacity building, complex models with
  unreliable or incorrect inputs produce inaccurate results, resulting in s
 erious policy making implications. Using HIV and COVID-19 as case studies,
  I will introduce and discuss the benefits and challenges of modern epidem
 iological methods.\n\nDomain: Life Sciences
END:VEVENT
END:VCALENDAR
