BEGIN:VCALENDAR
PRODID:-//github.com/ical-org/ical.net//NONSGML ical.net 4.0//EN
VERSION:2.0
BEGIN:VTIMEZONE
TZID:America/New_York
X-LIC-LOCATION:America/New_York
BEGIN:STANDARD
DTSTART:20241103T020000
RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11
TZNAME:EST
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
END:STANDARD
BEGIN:DAYLIGHT
DTSTART:20250309T020000
RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3
TZNAME:EDT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
END:DAYLIGHT
END:VTIMEZONE
BEGIN:VEVENT
DESCRIPTION:NOTE: BIS 526 students are required to attend in person. Other
 s are invited to attend in person\, but may also attend via zoom. Title: 
 " We’re granular\, we’re nationwide: Scaling geographic access with big d
 ata and high-performance computing.” Abstract Geographic access to health
 care resources has a dramatic impact on healthcare utilization and outcom
 es. Quantifying access is important for understanding how it differential
 ly affects geographically delineated subpopulations. While analysis of sp
 ecific regions is locally meaningful\, the most robust insights come from
  large-scale (i.e. nationwide) analyses – an approach that demands consid
 erable computational resources and technical acumen. Harnessing open-sour
 ce software and massively parallel high-performance compute\, we have dev
 eloped a methodology that makes highly granular (census block) yet large-
 scale (nationwide) travel time analysis feasible. We have applied this ap
 proach to projects analyzing access to a diverse assortment of healthcare
  resources. Furthermore\, the robustness of the approach allows us to imp
 lement two novel analytic products with potentially broad application: em
 pirically derived travel time thresholds and empirically-derived catchmen
 t areas.\n\nSpeakers:\nPeter Kahn\; Walter Mathis\n\nAdmission:\nFree\n\n
 Details URL:\nhttps://medicine.yale.edu/event/ysph-biostatistics-seminar-
 tba4-9/\n
DTEND;TZID=America/New_York:20240409T130000
DTSTAMP:20261111T141414Z
DTSTART;TZID=America/New_York:20240409T120000
GEO:41.302961;-72.931638
LOCATION:Rm. 106 A&B\, 47 College Street\, New Haven\, CT\, United States
SEQUENCE:0
STATUS:Confirmed
SUMMARY:YSPH Biostatistics Seminar: “We’re granular\, we’re nationwide: Sc
 aling geographic access with big data and high-performance computing.”
UID:7cfa0fbc-f3c8-4362-bba2-203f7a9a6317
END:VEVENT
END:VCALENDAR