Assessing COVID-induced changes in spatiotemporal structure of mobility in the United States in 2020: a multi-source analytical framework

A vision for incorporating human mobility in the study of human–wildlife interactions

“…Human-location data derived from mobile phones have been widely used, for example, to plan and study the impact of government restrictions on human mobility during the pandemic 35 . Research applications of these data, however, are constrained by fairly rigid data formats (for example, aggregation or use of fixed reference baseline), which limit the potential for reprocessing 36 . For example, in the case of Google Mobility products, estimates of human use of 'greenspaces' combine national and local parks into a single index, which may obscure ecological responses.…”

A classification framework and computational methods for human interaction analysis using movement data

“…Existing studies leverage movement data collected by location awareness technologies such as mobile phones to establish social networks of human interactions or contacts in the context of COVID‐19 spread (Oliver et al, 2020). Researchers have focused on human movement interactions at different spatial and/or temporal granularity ranging from close face‐to‐face encounters (Génois & Barrat, 2018), interactions within an accessible geographical area (Dodge et al, 2021; Su et al, 2022), to aggregate mobility flows or metrics at local, regional, or national levels (Kang et al, 2020; Kraemer et al, 2020; Noi et al, 2022; Su & Goulias, 2021).…”

Health disparity in the spread of COVID-19: Evidence from social distancing, risk of interactions, and access to testing

“…As mentioned earlier, many different measures of social distancing have been used in the literature. Noi et al (2022) analyzed and compared twenty-six mobility and contact-related indices across nine various sources and suggested that any single measure might not describe all aspects of mobility. As a result, we propose to use two distinct social distancing measures to more accurately capture social distancing and COVID-19 transmission dynamics among individuals.…”