PublisherDOIYearVolumeIssuePageTitleAuthor(s)Link
Healthcare Informatics Research10.4258/hir.2021.27.4.3252021274325-334Population Mobility, Lockdowns, and COVID-19 Control: An Analysis Based on Google Location Data and Doubling Time from IndiaAravind Gandhi Periyasamy, U Venkateshhttp://e-hir.org/upload/pdf/hir-2021-27-4-325.pdf, http://e-hir.org/journal/view.php?doi=10.4258/hir.2021.27.4.325, http://e-hir.org/upload/pdf/hir-2021-27-4-325.pdf
PLOS ONE10.1371/journal.pone.02480722021163e0248072COVID-19 lockdowns and demographically-relevant Google Trends: A cross-national analysisLawrence M. Berger, Giulia Ferrari, Marion Leturcq, Lidia Panico, Anne Solazhttps://dx.plos.org/10.1371/journal.pone.0248072
Applications of Artificial Intelligence in COVID-1910.1007/978-981-15-7317-0_6202199-117Data-Driven Symptom Analysis and Location Prediction Model for Clinical Health Data Processing and Knowledgebase Development for COVID-19Subhasish Mohapatra, Suneeta Satpathy, Debabrata Paulhttps://link.springer.com/content/pdf/10.1007/978-981-15-7317-0_6
Journal of Public Economics10.1016/j.jpubeco.2020.1043462021193104346COVID-19, lockdowns and well-being: Evidence from Google TrendsAbel Brodeur, Andrew E. Clark, Sarah Fleche, Nattavudh Powdthaveehttps://api.elsevier.com/content/article/PII:S0047272720302103?httpAccept=text/xml, https://api.elsevier.com/content/article/PII:S0047272720302103?httpAccept=text/plain
Scientific Reports10.1038/s41598-021-83441-42021111Mining Google and Apple mobility data: temporal anatomy for COVID-19 social distancingCorentin Cot, Giacomo Cacciapaglia, Francesco Sanninohttp://www.nature.com/articles/s41598-021-83441-4.pdf, http://www.nature.com/articles/s41598-021-83441-4, http://www.nature.com/articles/s41598-021-83441-4.pdf
Global Health Research and Policy10.1186/s41256-020-00151-6202051Influence of population mobility on the novel coronavirus disease (COVID-19) epidemic: based on panel data from Hubei, ChinaJunfeng Jiang, Lisha Luohttps://link.springer.com/content/pdf/10.1186/s41256-020-00151-6.pdf, https://link.springer.com/article/10.1186/s41256-020-00151-6/fulltext.html, https://link.springer.com/content/pdf/10.1186/s41256-020-00151-6.pdf
10.21203/rs.3.rs-501561/v12021Social Compliance During High Stringency Periods Efficiently Reduces COVID-19 Incidence: Evidence from Google Mobility ReportsLasse Hyldig Hansen, Thomas Lykke Rasmussen, Palle Villesenhttps://www.researchsquare.com/article/rs-501561/v1, https://www.researchsquare.com/article/rs-501561/v1.html
Spatial and Spatio-temporal Epidemiology10.1016/j.sste.2021.100442202139100442Spatial-temporal variations in community mobility during lockdown, unlock, and the second wave of COVID-19 in India: A data-based analysis using Google's community mobility reportsJay Saha, Sabbir Mondal, Pradip Chouhanhttps://api.elsevier.com/content/article/PII:S1877584521000411?httpAccept=text/xml, https://api.elsevier.com/content/article/PII:S1877584521000411?httpAccept=text/plain
Assessing COVID-19 and Other Pandemics and Epidemics using Computational Modelling and Data Analysis10.1007/978-3-030-79753-9_142021239-257LSTM-CNN Deep Learning–Based Hybrid System for Real-Time COVID-19 Data Analysis and Prediction Using Twitter DataSitanath Biswas, Sujata Dashhttps://link.springer.com/content/pdf/10.1007/978-3-030-79753-9_14
Global Health Research and Policy10.1186/s41256-020-00160-5202051Correction to: Influence of population mobility on the novel coronavirus disease (COVID-19) epidemic: based on panel data from Hubei, ChinaJunfeng Jiang, Lisha Luohttp://link.springer.com/content/pdf/10.1186/s41256-020-00160-5.pdf, http://link.springer.com/article/10.1186/s41256-020-00160-5/fulltext.html, http://link.springer.com/content/pdf/10.1186/s41256-020-00160-5.pdf