BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Australian Data Science - ECPv6.16.2//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-ORIGINAL-URL:https://australiandatascience.net
X-WR-CALDESC:Events for Australian Data Science
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:Australia/Brisbane
BEGIN:STANDARD
TZOFFSETFROM:+1000
TZOFFSETTO:+1000
TZNAME:AEST
DTSTART:20210101T000000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=Australia/Brisbane:20220119T100000
DTEND;TZID=Australia/Brisbane:20220119T104500
DTSTAMP:20260520T000703
CREATED:20211213T064650Z
LAST-MODIFIED:20220119T070556Z
UID:2774-1642586400-1642589100@australiandatascience.net
SUMMARY:AI4Pandemics Talk #13: Jude Kong\, York University
DESCRIPTION:Title: The impact of social\, economic\, environmental factors on the dynamics of COVID-19 \nAbstract: The COVID-19 pandemic has reached a stage where there is now sufficient data to infer whether the basic reproduction number (R0) varies across countries\, and what demographic\, social\, and environmental factors\, other than interventions\, characterize vulnerability to the virus. In this talk\, I will present the first global estimate of R0 across all continents\, and the results of a comprehensive investigation on what social\, economic\, and environmental factors characterize vulnerability to the virus. Understanding how space and time dependent factors predispose a community to a different COVID-19 rate of increase is essential to assessing the efficacy of interventions.
URL:https://australiandatascience.net/event/ai4pandemics-talk-13-jude-kong-york-university/
CATEGORIES:Past event
END:VEVENT
END:VCALENDAR