Health Equity During the COVID-19 Pandemic: Urban-Rural Dimensions, 7/29

Health Equity During the COVID-19 Pandemic: Urban-Rural Dimensions, 7/29

Category : News/Events

Description 

Sponsored by the SER Diversity and Inclusion (D&I) Committee, this upcoming SERexpert event will explore the differential impacts of the COVID-19 pandemic in rural and urban communities in the US. Speakers will describe the impact of COVID-19 on rural and urban communities, challenges to confronting the virus and inequities in who is impacted within and between these settings. Given the differences in population density, access to health care and population demographics a focus on rural and urban communities will help highlight the dimensions of inequity exacerbated by COVID-19.

How to Register 

  • Click here to register for this upcoming SER webinar on July 29, 2020, 11:00 am – 12:00 pm EDT


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Upcoming Events

  • EGDRC Seminar Series April 7, 2025 at 12:00 pm – 1:00 pm Seminar Series Event Type: Seminar SeriesSpeaker: David Reiter, PhDRoom Location: RRR_R809Link: https://tinyurl.com/David-ReiterEGDRC Seminar Series presents David Reiter, PhD, on "Imaging Endocrine Pancreas Function in Humans: A BOLD Approach for Characterizing Diabetes Pathophysiology"
  • “UniLasso”— a novel statistical method for sparse regression April 10, 2025 at 4:00 pm – 5:00 pm Seminar Series; zoom.us… Online Location: https://zoom.us/j/92231723229Event Type: Seminar SeriesSeries: Biostatistics and BioinformaticsSpeaker: Robert Tibshirani, PhDContact Name: Mary AbosiContact Email: mabosi@emory.eduRoom Location: CNR_8030 Lawrence P. &Ann Estes Klamon room“UniLasso”— a novel statistical method for sparse regression
  • EGDRC Seminar Series April 14, 2025 at 12:00 pm – 1:00 pm tinyurl.com… Online Location: https://tinyurl.com/TroyDonahooSpeaker: William "Troy" Donahoo, MD, FTOSLink: https://tinyurl.com/TroyDonahooGCDTR Seminar Series presents William "Troy" Donahoo, MD, FTOS from the University of Florida on "Fifteen Years of Learning About Diabetes Through Real-World Data".

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