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Research Article

Human mobility and COVID-19 transmission: a systematic review and future directions

ORCID Icon, ORCID Icon, , , , ORCID Icon, , , , , & show all
Pages 501-514 | Received 02 Feb 2021, Accepted 07 Feb 2022, Published online: 03 Mar 2022

References

  • Aktay, A., S. Bavadekar, G. Cossoul, J. Davis, D. Desfontaines, A. Fabrikant, and M. Guevara et al. 2020. Google COVID-19 Community Mobility Reports: Anonymization Process Description (Version 1.0). arXiv preprint arXiv:2004.04145.
  • Aleta, A., D. Martín-Corral, Ana Pastore y Piontti, M. Ajelli, M. Litvinova, M. Chinazzi, and N. E. Dean et al. 2020. ”Modelling the impact of testing, contact tracing and household quarantine on second waves of COVID-19.” Nature Human Behaviour 4: 964–971. doi:10.1038/s41562-020-0931-9.
  • Alfano, V., and S. Ercolano. 2020. “The Efficacy of Lockdown against COVID-19: A Cross-Country Panel Analysis.” Applied Health Economics and Health Policy 18 (4): 509–517. doi:10.1007/s40258-020-00596-3.
  • Aviv-Sharon, E., and A. Aharoni. 2020. “Generalized Logistic Growth Modeling of the COVID-19 Pandemic in Asia.” Infectious Disease Modelling 5: 502–509. doi:10.1016/j.idm.2020.07.003.
  • Balmford, B., J. D. Annan, J. C. Hargreaves, M. Altoè, and I. J. Bateman. 2020. “Cross-Country Comparisons of Covid-19: Policy, Politics and the Price of Life.” Environmental and Resource Economics 76 (4): 525–551. doi:10.1007/s10640-020-00466-5.
  • Banerjee, T., and A. Nayak. 2020. “U.S. County Level Analysis to Determine if Social Distancing Slowed the Spread of COVID-19.” Revista Panamericana de Salud Pública 44: 1. doi:10.26633/rpsp.2020.90.
  • Bherwani, H., S. Anjum, S. Kumar, S. Gautam, A. Gupta, H. Kumbhare, and R. Kumar et al. 2020. “Understanding COVID-19 Transmission through Bayesian Probabilistic Modeling and GIS-based Voronoi Approach: A Policy Perspective.” Environment, Development and Sustainability. doi:10.1007/s10668-020-00849-0.
  • Birkle, C., D. A. Pendlebury, J. Schnell, and J. Adams. 2020. “Web of Science as a Data Source for Research on Scientific and Scholarly Activity.” Quantitative Science Studies 1 (1): 363–376. doi:10.1162/qss_a_00018.
  • Bonaccorsi, G., F. Pierri, M. Cinelli, A. Flori, A. Galeazzi, F. Porcelli, and W. Quattrociocchi et al. 2020. Economic and Social Consequences of Human Mobility Restrictions under COVID-19. Proceedings of the National Academy of Sciences 117 ( 27): 15530–15535. doi:10.1073/pnas.2007658117.
  • Chen, H., Y. Chen, Z. Lian, L. Wen, B. Sun, P. Wang, and G. Pan. 2020. “Correlation between the migration scale index and the number of new confirmed coronavirus disease 2019 cases in China.” Epidemiology and Infection 148: 148. doi:10.1017/s0950268820001119.
  • Courtemanche, C., J. Garuccio, A. Le, J. Pinkston, and A. Yelowitz. 2020. “Strong Social Distancing Measures In The United States Reduced The COVID-19 Growth Rate.” Health Affairs 39 (7): 1237–1246. doi:10.1377/hlthaff.2020.00608.
  • DeFries, R., M. Agarwala, S. Baquie, P. Choksi, N. Dogra, G. Preetha, and J. Urpelainen et al. 2020. “Post-lockdown Spread of COVID-19 from Cities to Vulnerable Forest-fringe Villages in Central India.” Current Science 00113891: 119(1.
  • Dickson, M. M., G. Espa, D. Giuliani, F. Santi, and L. Savadori. 2020. “Assessing the Effect of Containment Measures on the Spatio-temporal Dynamic of COVID-19 in Italy.” Nonlinear Dynamics 101 (3): 1833–1846. doi:10.1007/s11071-020-05853-7.
  • Ding, Y., and L. Gao. 2020. “An Evaluation of COVID-19 in Italy: A Data-driven Modeling Analysis.” Infectious Disease Modelling 5: 495–501. doi:10.1016/j.idm.2020.06.007.
  • Djurović, I. 2020. “Epidemiological Control Measures and Predicted Number of Infections for SARS-CoV-2 Pandemic: Case Study Serbia March–april 2020.” Heliyon 6 (6): e04238. doi:10.1016/j.heliyon.2020.e04238.
  • Gatto, M., E. Bertuzzo, L. Mari, S. Miccoli, L. Carraro, R. Casagrandi, and A. Rinaldo. 2020. “Spread and Dynamics of the COVID-19 Epidemic in Italy: Effects of Emergency Containment Measures.” Proceedings of the National Academy of Sciences 117 (19): 10484–10491. doi:10.1073/pnas.2004978117.
  • Gupta, S. D., R. Jain, and S. Bhatnagar. 2020. “COVID-19 Pandemic in Rajasthan: Mathematical Modelling and Social Distancing.” Journal of Health Management 22 (2): 129–137. doi:10.1177/0972063420935537.
  • Hale, T., and S. Webster. 2020. “Oxford COVID-19 Government Response Tracker.”
  • Hu, T., W. W. Guan, X. Zhu, Y. Shao, L. Liu, J. Du, and S. Bao. 2020. ”Building an open resources repository for COVID-19 research.” Data and Information Management 4 (3): 130–147. doi:10.2478/dim-2020-0012.
  • Hu, T., S. Wang, B. She, M. Zhang, X. Huang, Y. Cui, and Z. Li et al. 2021. “Human Mobility Data in the COVID-19 Pandemic: Characteristics, Applications, and Challenges.” International Journal of Digital Earth 14 (9): 1126–1147. doi:10.1080/17538947.2021.1952324.
  • Huang, X., Z. Li, Y. Jiang, X. Li, D. Porter, and S. Gao. 2020. “Twitter Reveals Human Mobility Dynamics during the COVID-19 Pandemic.” PloS one 15 (11): e0241957. doi:10.1371/journal.pone.0241957.
  • Huang, B., J. Wang, J. Cai, S. Yao, P. K. S. Chan, T. H.-W. Tam, and J. R. Floyd et al. 2021. “Integrated Vaccination and Physical Distancing Interventions to Prevent Future COVID-19 Waves in Chinese Cities.” Nature Human Behaviour 5 (6): 695–705. doi:10.1038/s41562-021-01063-2.
  • Jia, J. S., X. Lu, Y. Yuan, G. Xu, J. Jia, and N. A. Christakis. 2020. “Population Flow Drives Spatio-temporal Distribution of COVID-19 in China.” Nature 582 (7812): 389–394. doi:10.1038/s41586-020-2284-y.
  • Jiang, J., and L. Luo. 2020. “Influence of Population Mobility on the Novel Coronavirus Disease (COVID-19) Epidemic: Based on Panel Data from Hubei, China.” Global Health Research and Policy 5 (1). doi:10.1186/s41256-020-00151-6.
  • Jung, Y. E. G., Y. Sun, and N. W. Schluger. 2020. “Effect and Reach of Medical Articles Posted on Preprint Servers during the COVID-19 Pandemic.” JAMA Internal Medicine 181 (3): 395–397.
  • Kaur, S., H. Bherwani, S. Gulia, R. Vijay, and R. Kumar. 2020. “Understanding COVID-19 Transmission, Health Impacts and Mitigation: Timely Social Distancing Is the Key.” Environment, Development and Sustainability 23 (5): 6681–6697. doi:10.1007/s10668-020-00884-x.
  • Killeen, G. F., and S. S. Kiware. 2020. “Why Lockdown? Why National Unity? Why Global Solidarity? Simplified Arithmetic Tools for Decision-makers, Health Professionals, Journalists and the General Public to Explore Containment Options for the 2019 Novel Coronavirus.” Infectious Disease Modelling 5: 442–458. doi:10.1016/j.idm.2020.06.006.
  • Kraemer, M. U., C.-H. Yang, B. Gutierrez, C.-H. Wu, B. Klein, D. M. Pigott, and W. P. Hanage et al. 2020a. “The Effect of Human Mobility and Control Measures on the COVID-19 Epidemic in China.” Science 368 (6490): 493–497. doi:10.1126/science.abb4218.
  • Kraemer, M. U. G., C.-H. Yang, B. Gutierrez, C.-H. Wu, B. Klein, D. M. Pigott, and S. V. Scarpino et al. 2020b. “The Effect of Human Mobility and Control Measures on the COVID-19 Epidemic in China.” Science 368 (6490): 493–497. doi:10.1126/science.abb4218.
  • Kucharski, A. J., T. W. Russell, C. Diamond, Y. Liu, J. Edmunds, S. Funk, and J. D. Munday et al. 2020. “Early Dynamics of Transmission and Control of COVID-19: A Mathematical Modelling Study.” The Lancet Infectious Diseases 20 (5): 553–558. doi:10.1016/S1473-3099(20)30144-4.
  • Lai, S., N. W. Ruktanonchai, L. Zhou, O. Prosper, W. Luo, J. R. Floyd, and A. J. Tatem et al. 2020. “Effect of Non-pharmaceutical Interventions to Contain COVID-19 in China.” Nature 585 (7825): 410–413. doi:10.1038/s41586-020-2293-x.
  • Lecocq, T., S. P. Hicks, K. Van Noten, K. Van Wijk, P. Koelemeijer, R. S. De Plaen, and M.-T. Apoloner et al. 2020. “Global Quieting of High-frequency Seismic Noise Due to COVID-19 Pandemic Lockdown Measures.” Science 369 (6509): 1338–1343. doi:10.1126/science.abd2438.
  • Li, Z., X. Huang, T. Hu, H. Ning, X. Ye, and X. Li (2021). ODT FLOW: A Scalable Platform for Extracting, Analyzing, and Sharing Multi-source Multi-scale Human Mobility. arXiv preprint arXiv:2104.05040.
  • Linka, K., M. Peirlinck, F. Sahli Costabal, and E. Kuhl. 2020. “Outbreak Dynamics of COVID-19 in Europe and the Effect of Travel Restrictions.” Computer Methods in Biomechanics and Biomedical Engineering 23 (11): 710–717. doi:10.1080/10255842.2020.1759560.
  • Liu, D., L. Clemente, C. Poirier, X. Ding, M. Chinazzi, J. T. Davis, and M. Santillana et al. 2020. A Machine Learning Methodology for Real-time Forecasting of the 2019-2020 COVID-19 Outbreak Using Internet Searches, News Alerts, and Estimates from Mechanistic Models. arXiv preprint arXiv:2004.04019.
  • McGrail, D. J., J. Dai, K. M. McAndrews, R. Kalluri, and C. T. Bauch. 2020. “Enacting National Social Distancing Policies Corresponds with Dramatic Reduction in COVID19 Infection Rates.” PLOS ONE 15 (7): e0236619. doi:10.1371/journal.pone.0236619.
  • Merow, C., and M. C. Urban. 2020. ”Seasonality and uncertainty in global COVID-19 growth rates.” Proceedings of the National Academy of Sciences 117 (44): 27456–27464. doi:10.1016/j.jnlssr.2020.06.004.
  • Metelmann, S., K. Pattni, L. Brierley, L. Cavalerie, C. Caminade, M. S. Blagrove, J. Turner, K. J. Sharkey, and M. Baylis. 2021. ”Impact of climatic, demographic and disease control factors on the transmission dynamics of COVID-19 in large cities worldwide.” One Health 12: 100221. doi:10.1016/j.onehlt.2021.100221.
  • Moher, D., A. Liberati, J. Tetzlaff, D. G. Altman, and P. Group. 2009. “Preferred Reporting Items for Systematic Reviews and Meta-analyses: The PRISMA Statement.” PLoS Medicine 6 (7): e1000097. doi:10.1371/journal.pmed.1000097.
  • Moosa, I. A. 2020. “The Effectiveness of Social Distancing in Containing Covid-19.” Applied Economics 52 (58): 6292–6305. doi:10.1080/00036846.2020.1789061.
  • Neufeld, Z., H. Khataee, and A. Czirok. 2020. “Targeted Adaptive Isolation Strategy for COVID-19 Pandemic.” Infectious Disease Modelling 5: 357–361. doi:10.1016/j.idm.2020.04.003.
  • Ngonghala, C. N., E. Iboi, S. Eikenberry, M. Scotch, C. R. Macintyre, M. H. Bonds, and A. B. Gumel. 2020. “Mathematical Assessment of the Impact of Non-pharmaceutical Interventions on Curtailing the 2019 Novel Coronavirus.” Mathematical Biosciences 325: 108364. doi:10.1016/j.mbs.2020.108364.
  • O’Sullivan, D., M. Gahegan, D. J. Exeter, and B. Adams. 2020. “Spatially Explicit Models for Exploring COVID‐19 Lockdown Strategies.” Transactions in GIS 24 (4): 967–1000. doi:10.1111/tgis.12660.
  • Peirlinck, M., K. Linka, F. S. Costabal, and E. Kuhl. 2020a. “Outbreak Dynamics of COVID-19 in China and the United States.” Biomechanics and Modeling in Mechanobiology 19 (6): 2179–2193.
  • Peirlinck, M., K. Linka, F. Sahli Costabal, and E. Kuhl. 2020b. “Outbreak Dynamics of COVID-19 in China and the United States.” Biomechanics and Modeling in Mechanobiology 19 (6): 2179–2193. doi:10.1007/s10237-020-01332-5.
  • Prem, K., Y. Liu, T. W. Russell, A. J. Kucharski, R. M. Eggo, N. Davies, and J. D. Munday et al. 2020. “The Effect of Control Strategies to Reduce Social Mixing on Outcomes of the COVID-19 Epidemic in Wuhan, China: A Modelling Study.” The Lancet Public Health 5 (5): e261–e270. doi:10.1016/S2468-2667(20)30073-6.
  • Rainisch, G., E. A. Undurraga, and G. Chowell. 2020. “A Dynamic Modeling Tool for Estimating Healthcare Demand from the COVID19 Epidemic and Evaluating Population-wide Interventions.” International Journal of Infectious Diseases 96: 376–383. doi:10.1016/j.ijid.2020.05.043.
  • Roda, W. C., M. B. Varughese, D. Han, and M. Y. Li. 2020. “Why Is It Difficult to Accurately Predict the COVID-19 Epidemic?” Infectious Disease Modelling 5: 271–281. doi:10.1016/j.idm.2020.03.001.
  • Safegraph. (2021). The Impact of Coronavirus (COVID-19) on Foot Traffic. Retrieved from https://www.safegraph.com/data-examples/covid19-commerce-patterns
  • Salje, H., C. Tran Kiem, N. Lefrancq, N. Courtejoie, P. Bosetti, J. Paireau,and S. Cauchemez et al. 2020. “Estimating the Burden of SARS-CoV-2 in France.” Science 369 (6500): 208–211. doi:10.1126/science.abc3517.
  • Siettos, C. I., and L. Russo. 2013. “Mathematical Modeling of Infectious Disease Dynamics.” Virulence 4 (4): 295–306. doi:10.4161/viru.24041.
  • Sil, A., and V. N. Kumar. 2020. ”Does weather affect the growth rate of COVID-19, a study to comprehend transmission dynamics on human health.” Journal of Safety Science and Resilience 1 (1): 3–11. doi:10.1073/pnas.2008590117.
  • Sirkeci, I., and M. Yüceşahin. 2020. “Coronavirus and Migration: Analysis of Human Mobility and the Spread of COVID-19.” Migration Letters 17 (2): 379–398. doi:10.33182/ml.v17i2.935.
  • Sun, G.-Q., S.-F. Wang, M.-T. Li, L. Li, J. Zhang, W. Zhang, G.-L. Feng, and G.-L. Feng. 2020. “Transmission Dynamics of COVID-19 in Wuhan, China: Effects of Lockdown and Medical Resources.” Nonlinear Dynamics 101 (3): 1981–1993. doi:10.1007/s11071-020-05770-9.
  • Thunström, L., S. C. Newbold, D. Finnoff, M. Ashworth, and J. F. Shogren. 2020. “The Benefits and Costs of Using Social Distancing to Flatten the Curve for COVID-19.” Journal of Benefit-Cost Analysis 11 (2): 179–195. doi:10.1017/bca.2020.12.
  • Tian, H., Y. Liu, Y. Li, C.-H. Wu, B. Chen, M. U. G. Kraemer, and C. Dye et al. 2020. “An Investigation of Transmission Control Measures during the First 50 Days of the COVID-19 Epidemic in China.” Science 368 (6491): 638–642. doi:10.1126/science.abb6105.
  • Tobías, A. 2020. “Evaluation of the Lockdowns for the SARS-CoV-2 Epidemic in Italy and Spain after One Month Follow Up.” Science of the Total Environment 725: 138539. doi:10.1016/j.scitotenv.2020.138539.
  • Tsay, C., F. Lejarza, M. A. Stadtherr, and M. Baldea. 2020a. “Modeling, State Estimation, and Optimal Control for the US COVID-19 Outbreak.” Scientific Reports 10 (1). doi:10.1038/s41598-020-67459-8.
  • Tsay, C., F. Lejarza, M. A. Stadtherr, and M. Baldea (2020b). Modeling, State Estimation, and Optimal Control for the US COVID-19 Outbreak. arXiv preprint arXiv:2004.06291.
  • United States Census Bureau. n.d. Geographic Mobility: 2018 to 2019. Retrieved from: https://www.census.gov/data/tables/2019/demo/geographic-mobility/cps-2019.html
  • United States Department of Transportation. n.d. Bureau of Transportation Statistics in the United States. Retrieved from: https://www.transtats.bts.gov/
  • Wang, S., Y. Liu, and T. Hu. 2020. “Examining the Change of Human Mobility Adherent to Social Restriction Policies and Its Effect on COVID-19 Cases in Australia.” International Journal of Environmental Research and Public Health 17 (21): 7930. doi:10.3390/ijerph17217930.
  • Wang, H., K. Xu, Z. Li, K. Pang, and H. He. 2020. “Improved Epidemic Dynamics Model and Its Prediction for COVID-19 in Italy.” Applied Sciences 10 (14): 4930. doi:10.3390/app10144930.
  • Wang, S., M. Zhang, T. Hu, X. Fu, Z. Gao, B. Halloran, and Y. Liu. 2021. “A Bibliometric Analysis and Network Visualisation of Human Mobility Studies from 1990 to 2020: Emerging Trends and Future Research Directions.” Sustainability 13 (10): 5372. doi:10.3390/su13105372.
  • Westerhoff, H. V., and A. N. Kolodkin. 2020. “Advice from a Systems-biology Model of the Corona Epidemics.” Npj Systems Biology and Applications 6 (1). doi:10.1038/s41540-020-0138-8.
  • Wu, J. T., K. Leung, and G. M. Leung. 2020. “Nowcasting and Forecasting the Potential Domestic and International Spread of the 2019-nCoV Outbreak Originating in Wuhan, China: A Modelling Study.” The Lancet 395 (10225): 689–697. doi:10.1016/S0140-6736(20)30260-9.
  • Xu, J., H. Lu, and R. H. Güting (2019). Understanding Human Mobility: A Multi-modal and Intelligent Moving Objects Database. Paper presented at the Proceedings of the 16th International Symposium on Spatial and Temporal Databases, Vienna, Austria, August 19–21.
  • Yabe, T., K. Tsubouchi, N. Fujiwara, T. Wada, Y. Sekimoto, and S. V. Ukkusuri. 2020. “Non-compulsory Measures Sufficiently Reduced Human Mobility in Tokyo during the COVID-19 Epidemic.” Scientific Reports 10 (1): 1–9. doi:10.1038/s41598-020-75033-5.
  • Yang, C., D. Sha, Q. Liu, Y. Li, H. Lan, W. W. Guan, and J. H. Thompson et al. 2020a. Taking the Pulse of COVID-19: A Spatiotemporal Perspective. arXiv preprint arXiv:2005.04224.
  • Yang, H., D. Chen, Q. Jiang, and Z. Yuan. 2020b. “High Intensities of Population Movement Were Associated with High Incidence of COVID-19 during the Pandemic.” Epidemiology and Infection 148: 1–24. doi:10.1017/s0950268820001703.
  • Yang, P., J. Qi, S. Zhang, X. Wang, G. Bi, Y. Yang, G. Yang, and G. Yang. 2020c. “Feasibility Study of Mitigation and Suppression Strategies for Controlling COVID-19 Outbreaks in London and Wuhan.” PloS one 15 (8): e0236857. doi:10.1371/journal.pone.0236857.
  • Yin, L., H. Zhang, Y. Li, K. Liu, T. Chen, W. Luo, and L. Ning et al. 2021. “A Data Driven Agent-based Model that Recommends Non-pharmaceutical Interventions to Suppress Coronavirus Disease 2019 Resurgence in Megacities.” Journal of the Royal Society Interface 18 (181): 20210112. doi:10.1098/rsif.2021.0112.
  • Yuan, Z., Y. Xiao, Z. Dai, J. Huang, Z. Zhang, and Y. Chen. 2020. “Modelling the Effects of Wuhan’s Lockdown during COVID-19, China.” Bulletin of the World Health Organization 98 (7): 484–494. doi:10.2471/blt.20.254045.
  • Zhang, C., C. Chen, W. Shen, F. Tang, H. Lei, Y. Xie, and X. Du et al. 2020a. “Impact of Population Movement on the Spread of 2019-nCoV in China.” Emerging Microbes & Infections 9 (1): 988–990. doi:10.1080/22221751.2020.1760143.
  • Zhang, J., L. Dong, Y. Zhang, X. Chen, G. Yao, and Z. Han. 2020b. “Investigating Time, Strength, and Duration of Measures in Controlling the Spread of COVID-19 Using a Networked Meta-population Model.” Nonlinear Dynamics 101 (3): 1789–1800. doi:10.1007/s11071-020-05769-2.
  • Zhang, J., M. Litvinova, Y. Liang, Y. Wang, W. Wang, S. Zhao,and H. Yu et al. 2020c. “Changes in Contact Patterns Shape the Dynamics of the COVID-19 Outbreak in China.” Science 368 (6498): 1481–1486. doi:10.1126/science.abb8001.
  • Zhao, Y., R. Wang, J. Li, Y. Zhang, H. Yang, and Y. Zhao. 2020. “Analysis of the Transmissibility Change of 2019-Novel Coronavirus Pneumonia and Its Potential Factors in China from 2019 to 2020.” BioMed Research International 2020: 3842470. doi:10.1155/2020/3842470.
  • Zheng, Y. 2020. “Estimation of Disease Transmission in Multimodal Transportation Networks.” Journal of Advanced Transportation 8898923. doi:10.1155/2020/8898923.
  • Zou, Y., S. Pan, P. Zhao, L. Han, X. Wang, L. Hemerik, W. Van Der Werf, and W. van der Werf. 2020. “Outbreak Analysis with a Logistic Growth Model Shows COVID-19 Suppression Dynamics in China.” PLOS ONE 15 (6): e0235247. doi:10.1371/journal.pone.0235247.