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“A Data Driven Approach to Mitigate Economic Inequities of the Pandemic”

Dr. Mindy Hebert-Derouen from UC San Francisco
When
Feb 23, 2022 from 12:00 PM to 01:00 PM (America/Los_Angeles / UTC-800)
Where
webinar
Contact Name
Contact Phone
19164455161
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 * In light of the community concerns regarding COVID-19, this talk will be given as a webinar.*

We will describe our pilot work that has established an integrated, multilevel approach to data collection and analysis to describe the impact of the COVID-19 response and recession on individuals’ circumstances and well-being among communities of color or low-income in the San Francisco Bay Area. Our approach involves collection and analysis of (1) real-time, geo-located feedback from individuals’ experiences in their neighborhood spaces, submitted through Streetwyze, an established community driven mobile-data collection platform, (2) epidemiologic survey data, and (3) population-level neighborhood data. We will discuss how the use of mobile technology and this integrative data approach can be used to generate a robust and rapid evidence base to inform programs and policies that address the needs of communities of color and/or low-income to mitigate inequities in socioeconomic conditions during the pandemic-induced recession and beyond.

Streetwyze is a community driven mapping platform that helps everyday people share, find, and connect to important resources and community information. During this session, we will discuss this project and how community members across the Bay Area used Streetwyze to share their experiences with COVID-19 in their neighborhood and its impact on their daily lives. 

Dr. Mindy Hebert-DeRouen is an epidemiologist with dual training in cancer biology andHerbert DeRouen Photo epidemiology. Her ongoing research efforts are focused on health inequities due to multi-level determinants, especially social determinants of health. Dr. DeRouen has experience with pooling and harmonizing complex multi-level data, including contextual-level data, survey data, qualitative data, and data from electronic health records; and designing studies of multi-level data to study health inequities.

In light of the community concerns regarding COVID-19, this talk will be given as a webinar. The link will be provided on February 22nd to those that have registered by 5:00 pm on Monday, February, 21st.

Please click here for a print friendly flyer.

PLEASE CLICK HERE TO REGISTER

Please click here to view the PowerPoint presentation.

Please click here to view the video.

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