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DESCRIPTION:Daniel Fuller\, PhD\n\nAssociate Professor |\n	Community Health 
 and Epidemiology | University of Saskatchewan\n\nWHEN: Monday\, March 25\,
  2024\, from 4 to 5 p.m.\n	WHERE: Hybrid| 2001 ºÚÁϲ»´òìÈ College\, Rm 1140 | Z
 oom\n	NOTE: Daniel Fuller will be presenting in-person\n\nAbstract\n\nWeara
 ble devices have been extensively used in epidemiologic research for both 
 exposure assessment and outcome measurement. There is currently an explosi
 on in our ability as researchers to use wearable devices in our work. Simu
 ltaneously\, individuals have large-scale access to commercial wearable de
 vice data (e.g.\, Apple Watch\, Fitbit) to inform health decision-making. 
 This seminar will focus specifically on two aspects of wearable devices. F
 irst\, it will discuss a recently published paper from our research group 
 comparing Global Positioning System data from different types of devices. 
 Second\, the seminar will address the implications of measurement error fo
 r both research-grade and commercial-grade wearable devices. Finally\, we 
 will explore a potential future for research using both research-grade and
  commercial wearable devices in epidemiology.\n\nLearning Objectives\n\nBy
  the end of this session\, attendees will:\n\n\n	Understand the pros and co
 ns of different types of wearable devices for research and personal health
  monitoring\;\n	Apply knowledge of exposure assessment to global positionin
 g system data\;\n	Analyze challenges for epidemiologic research when commer
 cial wearable devices are used.\n\n\nSpeaker Bio\n\nDaniel Fuller is Assoc
 iate Professor in Community Health and Epidemiology at the University of S
 askatchewan. His research is focused on using wearable technologies to stu
 dy physical activity\, transportation interventions\, and equity in urban 
 spaces. Dr. Fuller has an MSc in Kinesiology from the University of Saskat
 chewan\, a PhD in Public Health from Université de Montréal. He leads the 
 Interventions\, Equity\, and Research in Cities Team (INTERACT) study\, co
 -leads the CapaCITY/É research project\, and contributes to the Artificial
  for Intelligence for Public Health (AI4PH) project.\n
DTSTART:20240325T200000Z
DTEND:20240325T210000Z
SUMMARY:Wearable Devices for Epidemiologic Research: Current Trends\, Metho
 ds\, and Future Directions
URL:/epi-biostat-occh/channels/event/wearable-devices-
 epidemiologic-research-current-trends-methods-and-future-directions-355692
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