A5026052557- COVID-19 epidemiological studies
- Data-Driven Disease Surveillance
- COVID-19 and Mental Health
- Health disparities and outcomes
McGill University
2022
University of Toronto
2021
Considering the emergence of SARS-CoV-2 variants and low vaccine access uptake, minimizing human interactions remains an effective strategy to mitigate spread SARS-CoV-2. Using a functional principal component analysis, we created multidimensional mobility index (MI) using six metrics compiled by SafeGraph from all counties in Illinois, Ohio, Michigan Indiana between January 1 December 8, 2020. Changes were defined as time-updated 7-day rolling average. Associations our MI COVID-19 cases...
Abstract Considering the emergence of SARS-CoV-2 variants and low vaccine access uptake, minimizing human interactions remains an effective strategy to mitigate spread SARS-CoV-2. Using a functional principal component analysis, we created multidimensional mobility index (MI) using six metrics compiled by SafeGraph from all counties in Illinois, Ohio, Michigan Indiana between January 1st December 8, 2020. Changes were defined as time-updated 7-day rolling average. Associations our MI...
Abstract Background Considering the emergence of SARS-CoV-2 variants and low vaccine access uptake, minimizing human interactions remains an effective strategy to mitigate spread SARS-CoV-2. The aim this study was create a novel multidimensional mobility index capture complexity interaction evaluate its utility as early indicator surges in COVID-19 cases. Methods We used publicly available anonymous cell phone data compiled by SafeGraph, from all counties Illinois, Ohio, Michigan Indiana...