Conference Program Home
  My Program

All Times EDT

Abstract Details

Activity Number: 528 - Advances in Social Network Analysis for Public Health Solutions
Type: Invited
Date/Time: Thursday, August 11, 2022 : 10:30 AM to 12:20 PM
Sponsor: Section on Statistics in Epidemiology
Abstract #319261
Title: New Approaches to Model Multi-Level Social Networks for Evaluating the Impact of Demographics on Health Disparities of Epidemic Trajectories in the NYC Population
Author(s): Natallia V. Katenka* and Ashley Buchanan
Companies: University of Rhode Island and University of Rhode Island
Keywords: Social Networks; Health Disparities; Stochastic Block Models; Epidemic Models
Abstract:

COVID-19 has resulted in a global pandemic with over 44 million cases and 700K fatalities in the US, leading to major strains on the healthcare system and increases in health disparities. We develop models to provide insights on how to create pseudo-population and evaluate the impact of non-pharmaceutical interventions and vaccination, focusing on the impact of these policies among the marginalized population. We outline the generation of multi-level social networks using stochastic block models to represent communication patterns in pseudo-population in NYC with connections among individuals, households, and boroughs and show how to assign individual demographic and social attributes (e.g., age, frontline worker status, occupation, race, gender, socioeconomic status, and pre-existing health conditions) based on census and patient-level databases. We use these networks to account for community demographics and geography and model the spread of COVID-19 in NYC using SEIR models. Preliminary results show evidence of the importance of considering demographics and health disparities on epidemic trajectories and differences in disease burden in marginalized populations in NYC.


Authors who are presenting talks have a * after their name.

Back to the full JSM 2022 program