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CrossRef Text and Data Mining |
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Population Mobility, Lockdowns, and COVID-19 Control: An Analysis Based on Google Location Data and Doubling Time from India |
Aravind Gandhi Periyasamy, U Venkatesh |
Healthc Inform Res. 2021;27(4):325-334. Published online October 31, 2021 DOI: https://doi.org/10.4258/hir.2021.27.4.325 |
Population Mobility, Lockdowns, and COVID-19 Control: An Analysis Based on Google Location Data and Doubling Time from India The COVID‐19 pandemic and residential mobility intentions in the United States: Evidence from Google Trends data Lockdowns, Community Mobility Patterns, and COVID-19: A Retrospective Analysis of Data from 16 Countries Mobility-based Individual POI Recommendation to Control the COVID-19 Spread COVID-19 lockdowns and demographically-relevant Google Trends: A cross-national analysis Nonlinear effects of mobility on COVID-19 in the US: targeted lockdowns based on income and poverty Data-Driven Symptom Analysis and Location Prediction Model for Clinical Health Data Processing and Knowledgebase Development for COVID-19 COVID-19, lockdowns and well-being: Evidence from Google Trends Mining Google and Apple mobility data: temporal anatomy for COVID-19 social distancing Influence of population mobility on the novel coronavirus disease (COVID-19) epidemic: based on panel data from Hubei, China |