The DOI matches its Crossref record; 27 of the 27 references it cites were found in a registry or an index.
Neighbourhood income and physical distancing during the COVID-19 pandemic in the United States
Open accessPublished version of a preprint
Abstract
Physical distancing has been the primary strategy to control COVID-19 in the United States. We used mobility data from a large, anonymized sample of smartphone users to assess the relationship between neighbourhood income and physical distancing during the pandemic. We found a strong gradient between neighbourhood income and physical distancing. Individuals in high-income neighbourhoods increased their days at home substantially more than individuals in low-income neighbourhoods did. Residents of low-income neighbourhoods were more likely to work outside the home, compared to residents in higher-income neighbourhoods, but were not more likely to visit locations such as supermarkets, parks and hospitals. Finally, we found that state orders were only associated with small increases in staying home in low-income neighbourhoods. Our findings indicate that people in lower-income neighbourhoods have faced barriers to physical distancing, particularly needing to work outside the home, and that state physical distancing policies have not mitigated these disparities.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
How Much Should We Trust Differences-in-Differences Estimates?
Bertrand, M., Duflo, E., & Mullainathan, S. (2004) · The Quarterly Journal of Economics · doi:10.1162/003355304772839588 · Cited by 10,641
Ferguson, N. M., Laydon, D. J., Nedjati-Gilani, G. L., Imai, N., Ainslie, K. E. C., Baguelin, M., Bhatia, S., Boonyasiri, A., Cucunubá, Z. M., Cuomo-Dannenburg, G., et al. (2020) · Spiral (Imperial College London) · doi:10.25561/77482 · Cited by 3,619
Racial Residential Segregation: A Fundamental Cause of Racial Disparities in Health
Williams, D. R., & Collins, C. (2001) · Public Health Reports · doi:10.1093/phr/116.5.404 · Cited by 3,153
The effect of large-scale anti-contagion policies on the COVID-19 pandemic
Hsiang, S., Allen, D., Annan-Phan, S., Bell, K., Bolliger, I. W., Chong, T., Druckenmiller, H., Huang, L. Y., Hultgren, A., Krasovich, E., et al. (2020) · Nature · doi:10.1038/s41586-020-2404-8 · Cited by 1,528
2013 NCHS Urban-Rural Classification Scheme for Counties.
Ingram, D. D., & Franco, S. J. (2012) · PubMed · Cited by 1,523
Designing Difference in Difference Studies: Best Practices for Public Health Policy Research
Wing, C., Simon, K., & Bello-Gomez, R. A. (2018) · Annual Review of Public Health · doi:10.1146/annurev-publhealth-040617-013507 · Cited by 1,470
Eubank, S., Eckstrand, I. A., Lewis, B. L., Venkatramanan, S., MARATHE, M. V., & Barrett, C. L. (2020) · Bulletin of Mathematical Biology · doi:10.1007/s11538-020-00726-x · Cited by 882
Strong Social Distancing Measures In The United States Reduced The COVID-19 Growth Rate
Courtemanche, C., Garuccio, J., Le, A., Pinkston, J. C., & Yelowitz, A. S. (2020) · Health Affairs · doi:10.1377/hlthaff.2020.00608 · Cited by 773
Racial health disparities and covid-19 - caution and context
Chowkwanyun, M., & Reed, A. L. (2020) · New England Journal of Medicine · doi:10.1056/nejmp2012910 · Cited by 706
Massachusetts Department of Public Health
Gallagher, S. S., Guyer, B., Kotelchuck, M., Bass, J. L., Lovejoy, F. H., McLoughlin, E., & Mehta, K. A. (1982) · New England Journal of Medicine · doi:10.1056/nejm198210143071613 · Cited by 591
Research works printed but not linked: 1
- Blau, F. D., Koebe, J. & Meyerhofer P. A. Essential and Frontline Workers in the COVID-19 Crisis (Econofact, 2020); https://econofact.org/essential-and-frontline-workers-in-the-covid-19-crisis · DOI
Cited by
Sorted by citations
Bono, S. A., Villela, E. F. D. M., Siau, C. S., Chen, W. S., Pengpid, S., Hasan, M. T., Sessou, P., Ditekemena, J., Amodan, B. O., Hosseinipour, M. C., et al. (2021) · Vaccines · doi:10.3390/vaccines9050515 · Cited by 350
Environmental Factors Influencing COVID-19 Incidence and Severity
Weaver, A., Head, J. R., Gould, C. F., Carlton, E. J., & Remais, J. V. (2022) · Annual Review of Public Health · doi:10.1146/annurev-publhealth-052120-101420 · Cited by 194
Kim, J., & Kwan, M. (2021) · Journal of Transport Geography · doi:10.1016/j.jtrangeo.2021.103039 · Cited by 179
Li, L., Taeihagh, A., & Tan, S. Y. (2023) · Nature Communications · doi:10.1038/s41467-023-36267-9 · Cited by 169
Astell‐Burt, T., & Feng, X. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph18052757 · Cited by 137
Cantor, J., Sood, N., Bravata, D. M., Pera, M. F., & Whaley, C. (2022) · Journal of Health Economics · doi:10.1016/j.jhealeco.2022.102581 · Cited by 111
Exposure density and neighborhood disparities in COVID-19 infection risk
Hong, B., Bonczak, B. J., Gupta, A., Thorpe, L. E., & Kontokosta, C. E. (2021) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2021258118 · Cited by 105
COVID-19 vaccine acceptance among adults in four major US metropolitan areas and nationwide
El-Mohandes, A. A. E., White, T. M., Wyka, K., Rauh, L. D., Rabin, K. H., Kimball, S. H., Ratzan, S. C., & Lazarus, J. V. (2021) · Scientific Reports · doi:10.1038/s41598-021-00794-6 · Cited by 102
Abrams, E. M., Greenhawt, M., Shaker, M. S., Pinto, A. D., Sinha, I. P., & Singer, A. G. (2021) · Annals of Allergy Asthma & Immunology · doi:10.1016/j.anai.2021.10.022 · Cited by 112
Business recovery from disasters: Lessons from natural hazards and the COVID-19 pandemic
Chang, S. E., Brown, C., Handmer, J. W., HELGESON, J. F., Kajitani, Y., Keating, A., Noy, I., Watson, M., Derakhshan, S., Kim, J., et al. (2022) · International Journal of Disaster Risk Reduction · doi:10.1016/j.ijdrr.2022.103191 · Cited by 102
The effect of eviction moratoria on the transmission of SARS-CoV-2
Nande, A., Sheen, J. K., Walters, E. L., Klein, B., Chinazzi, M., Gheorghe, A. H., Adlam, B., Shinnick, J. E., Tejeda, M. F., Scarpino, S. V., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-22521-5 · Cited by 105
Stress Testing Banks' Digital Capabilities: Evidence from the COVID-19 Pandemic
Kwan, A. P., Lin, C., Pursiainen, V., & Tai, M. (2020) · Journal of Financial and Quantitative Analysis · doi:10.1017/s0022109023000662 · Cited by 99
Almlöf, E., Rubensson, I., Cebecauer, M., & Jenelius, E. (2021) · European Transport Research Review · doi:10.1186/s12544-021-00488-0 · Cited by 114
Song, Y. H., Newman, G., Huang, X., & Ye, X. (2022) · Sustainable Cities and Society · doi:10.1016/j.scs.2022.103815 · Cited by 98
Use of smartphone mobility data to analyze city park visits during the COVID-19 pandemic
Jay, J. S., Heykoop, F., Hwang, L., Courtepatte, A., de Jong, J., & Kondo, M. C. (2022) · Landscape and Urban Planning · doi:10.1016/j.landurbplan.2022.104554 · Cited by 91
Self-citationCarceral-community epidemiology, structural racism, and COVID-19 disparities
Reinhart, E., & Chen, D. L. (2021) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2026577118 · Cited by 72
Gauvin, L., Bajardi, P., Pepe, E., Lake, B., Privitera, F., & Tizzoni, M. (2021) · Journal of The Royal Society Interface · doi:10.1098/rsif.2021.0092 · Cited by 74
Head, J. R., Andrejko, K. L., Cheng, Q., Collender, P. A., Phillips, S., Boser, A., Heaney, A. K., Hoover, C. M., Wu, S. L., Northrup, G. R., et al. (2021) · Journal of The Royal Society Interface · doi:10.1098/rsif.2020.0970 · Cited by 72
Pregnancy during the pandemic: the impact of COVID-19-related stress on risk for prenatal depression
King, L. S., Feddoes, D. E., Kirshenbaum, J. S., Humphreys, K. L., & Gotlib, I. H. (2021) · Psychological Medicine · doi:10.1017/s003329172100132x · Cited by 75
Acosta, N., Bautista, M. A., Waddell, B. J. M., McCalder, J., Beaudet, A. B., Man, L. L. H., Pradhan, P., Sedaghat, N., Papparis, C., Bacanu, A., et al. (2022) · Water Research · doi:10.1016/j.watres.2022.118611 · Cited by 70
Levy, B. L., Vachuska, K. F., Subramanian, S. V., & Sampson, R. J. (2022) · Science Advances · doi:10.1126/sciadv.abl3825 · Cited by 67
COVID-19 and social distancing: Disparities in mobility adaptation between income groups
Iio, K., Guo, X., Kong, X., Rees, K., & Wang, X. B. (2021) · Transportation Research Interdisciplinary Perspectives · doi:10.1016/j.trip.2021.100333 · Cited by 73
Xiao, Y., Yip, P. S.-F., Pathak, J., & Mann, J. J. (2022) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2022.0818 · Cited by 63
Shaw, J., Meiring, M., Cummins, T., Chegou, N. N., Claassen, C., du Plessis, N., Flinn, M., Hiemstra, A. M., Kleynhans, L., Leukes, V., et al. (2021) · PLoS ONE · doi:10.1371/journal.pone.0247852 · Cited by 65
Bin, E., Andruetto, C., Susilo, Y. O., & Pernestål, A. (2021) · European Transport Research Review · doi:10.1186/s12544-021-00473-7 · Cited by 66
Racial Disparities in Child Exposure to Firearm Violence Before and During COVID-19
Martin, R., Rajan, S., Shareef, F., Xie, K. C., Allen, K. A., Zimmerman, M. A., & Jay, J. S. (2022) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2022.02.007 · Cited by 63
Self-citationQuantifying human mobility resilience to the COVID-19 pandemic: A case study of Beijing, China
Liu, Y., Wang, X., Song, C., Chen, J., Shu, H., Wu, M., Guo, S., Huang, Q., & Pei, T. (2022) · Sustainable Cities and Society · doi:10.1016/j.scs.2022.104314 · Cited by 64
Interplay between mobility, multi-seeding and lockdowns shapes COVID-19 local impact
Mazzoli, M., Pepe, E., Mateo, D., Cattuto, C., Gauvin, L., Bajardi, P., Tizzoni, M., Hernando, A., Meloni, S., & Ramasco, J. J. (2021) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1009326 · Cited by 59
Levin, R., Chao, D. L., Wenger, E. A., & Proctor, J. L. (2021) · Nature Computational Science · doi:10.1038/s43588-021-00125-9 · Cited by 63
Violating social distancing amid the COVID‐19 pandemic: Psychological factors to improve compliance
Farias, J. E. M., & Pilati, R. (2021) · Journal of Applied Social Psychology · doi:10.1111/jasp.12853 · Cited by 60
Long, J., & Ren, C. (2021) · Computers Environment and Urban Systems · doi:10.1016/j.compenvurbsys.2021.101710 · Cited by 59
Trends in Violent Penetrating Injuries During the First Year of the COVID-19 Pandemic
Pino, E. C., Gebo, E., Dugan, E., & Jay, J. S. (2022) · JAMA Network Open · doi:10.1001/jamanetworkopen.2021.45708 · Cited by 57
Self-citationTutu, A. O., Affram, A. A., Mensah-Sarbah, C., Dzokoto, V. A. A., & Adams, G. (2021) · Journal of Religion and Health · doi:10.1007/s10943-021-01285-8 · Cited by 53
Fletcher, K. M., Espey, J., Grossman, M. K., Sharpe, J. D., Curriero, F. C., Wilt, G. E., Sunshine, G., Moreland, A., Howard-Williams, M., Ramos, J. G., et al. (2021) · Annals of Epidemiology · doi:10.1016/j.annepidem.2021.08.020 · Cited by 53
Addressing the socioeconomic divide in computational modeling for infectious diseases
Tizzoni, M., Nsoesie, E. O., Gauvin, L., Karsai, M., Perra, N., & Bansal, S. (2022) · Nature Communications · doi:10.1038/s41467-022-30688-8 · Cited by 48
Self-citationTrasberg, T., & Cheshire, J. A. (2021) · Urban Studies · doi:10.1177/00420980211040409 · Cited by 51
Glodeanu, A., Gullón, P., & Bilal, U. (2021) · Health & Place · doi:10.1016/j.healthplace.2021.102580 · Cited by 48
Bajos, N., Counil, É., Franck, J.-E., Jusot, F., Pailhé, A., Spire, A., Martin, C., Lydié, N., Slama, R., Meyer, L., et al. (2021) · BMJ Open · doi:10.1136/bmjopen-2021-052888 · Cited by 47
Spatiotemporal contact density explains the disparity of COVID-19 spread in urban neighborhoods
Verma, R., Yabe, T., & Ukkusuri, S. V. (2021) · Scientific Reports · doi:10.1038/s41598-021-90483-1 · Cited by 45
Chang, H., Tang, W., Hatef, E., Kitchen, C., Weiner, J. P., & Kharrazi, H. H. K. (2021) · BMC Public Health · doi:10.1186/s12889-021-11149-1 · Cited by 45
Hu, S., Xiong, C., Younes, H., Yang, M., Darzi, A., & Jin, Z. C. (2021) · Sustainable Cities and Society · doi:10.1016/j.scs.2021.103506 · Cited by 44
Crawford, F. W., Jones, S., Cartter, M. L., Dean, S. G., Warren, J. L., Li, Z. R., Barbieri, J., Campbell, J., Kenney, P., Valleau, T., et al. (2022) · Science Advances · doi:10.1126/sciadv.abi5499 · Cited by 47
Pirasteh‐Anosheh, H., Parnian, A., Spasiano, D., Race, M., & Ashraf, M. (2021) · Environmental Research · doi:10.1016/j.envres.2021.111228 · Cited by 43
Mobility-based real-time economic monitoring amid the COVID-19 pandemic
Spelta, A., & Pagnottoni, P. (2021) · Scientific Reports · doi:10.1038/s41598-021-92134-x · Cited by 46
Missing Americans: Early death in the United States—1933–2021
Bor, J. H., Stokes, A., Raifman, J., Venkataramani, A. S., Bassett, M. T., Himmelstein, D. U., & Woolhandler, S. J. (2023) · PNAS Nexus · doi:10.1093/pnasnexus/pgad173 · Cited by 43
Self-citationSocial connectedness, mindfulness, and coping as protective factors during the COVID‐19 pandemic
Dailey, S. F., Parker, M. M., & Campbell, A. (2023) · Journal of Counseling & Development · doi:10.1002/jcad.12450 · Cited by 41
Noone, C., Warner, N. Z., Byrne, M., Durand, H., Lavoie, K., McGuire, B. E., McSharry, J., Meade, O., Morrissey, E. C., Molloy, G. J., et al. (2021) · Health Psychology Review · doi:10.1080/17437199.2021.1934062 · Cited by 40
A database of US state policies to mitigate COVID-19 and its economic consequences
Skinner, A., Flannery, K., Nocka, K., Bor, J. H., Dean, L. T., Jay, J. S., Lipson, S. K., Cole, M. B., Benfer, E. A., Scheckman, R., et al. (2022) · BMC Public Health · doi:10.1186/s12889-022-13487-0 · Cited by 41
Self-citationThe Political Psychology of COVID‐19
Muldoon, O. T., Liu, J. H.-F., & McHugh, C. (2021) · Political Psychology · doi:10.1111/pops.12775 · Cited by 41
Kittel, B., Kalleitner, F., & Schiestl, D. W. (2021) · PLoS ONE · doi:10.1371/journal.pone.0260171 · Cited by 41
Valdano, E., Lee, J., Bansal, S., Rubrichi, S., & Vittoria Colizza, A. (2021) · Journal of Travel Medicine · doi:10.1093/jtm/taab045 · Cited by 38
Generalized contact matrices allow integrating socioeconomic variables into epidemic models
Manna, A., Dall’Amico, L., Tizzoni, M., Karsai, M., & Perra, N. (2024) · Science Advances · doi:10.1126/sciadv.adk4606 · Cited by 41
Effectiveness of COVID-19 shelter-in-place orders varied by state
Feyman, Y., Bor, J. H., Raifman, J., & Griffith, K. N. (2020) · PLoS ONE · doi:10.1371/journal.pone.0245008 · Cited by 37
Self-citationSpatial modeling of vaccine deserts as barriers to controlling SARS-CoV-2
Rader, B. M., Astley, C. M., Sewalk, K. C., Delamater, P. L., Cordiano, K., Wronski, L., Rivera, J. M., Hallberg, K., Pera, M. F., Cantor, J., et al. (2022) · Communications Medicine · doi:10.1038/s43856-022-00183-8 · Cited by 37
Gibbs, H. P., Nightingale, E., Liu, Y., Cheshire, J. A., Danon, L., Smeeth, L. L., Pearson, C. A. B., Grundy, C., LSHTM CMMID COVID-19 working group, Kucharski, A. J., et al. (2021) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1009162 · Cited by 35
Two-Step Cluster Analysis of Passenger Mobility Segmentation during the COVID-19 Pandemic
Harantová, V., Mazanec, J., Štefancová, V., Mašek, J., & Foltýnová, H. B. (2023) · Mathematics · doi:10.3390/math11030583 · Cited by 35
Cantor, J., Sood, N., Bravata, D. M., Pera, M. F., & Whaley, C. (2020) · National Bureau of Economic Research · doi:10.3386/w28131 · Cited by 36
Martínez-Soto, A., Avendaño-Vera, C., Boso, À., Hofflinger, À., & Shupler, M. S. (2021) · Energy Policy · doi:10.1016/j.enpol.2021.112571 · Cited by 37
Back to School: The Effect of School Visits During COVID-19 on COVID-19 Transmission
Bravata, D. M., Cantor, J., Sood, N., & Whaley, C. (2021) · National Bureau of Economic Research · doi:10.3386/w28645 · Cited by 33
Food insecurity associated with higher COVID-19 infection in households with older adults
Choi, S. L., & Men, F. K. (2021) · Public Health · doi:10.1016/j.puhe.2021.09.002 · Cited by 32
Gerace, A., Rigney, G., & Anderson, J. (2022) · PLoS ONE · doi:10.1371/journal.pone.0263128 · Cited by 32
The effect of state-level social distancing policy stringency on mobility in the states of Brazil
Barberia, L., Cantarelli, L. G. R., de Oliveira, M. L. V. S., Moreira, N. D. P., & Rosa, I. S. C. (2021) · Revista de Administração Pública · doi:10.1590/0034-761220200549 · Cited by 38
COVID-19 and campus users: A longitudinal and place-based study of university mobilities in Texas
Song, Y. H., Lee, C., Tao, Z., Lee, R. J., Newman, G., Ding, Y., Jessica, F., & Sohn, W. (2023) · Sustainable Cities and Society · doi:10.1016/j.scs.2023.104656 · Cited by 31
Importance of social inequalities to contact patterns, vaccine uptake, and epidemic dynamics
Manna, A., Koltai, J., & Karsai, M. (2024) · Nature Communications · doi:10.1038/s41467-024-48332-y · Cited by 34
Zang, E. X., West, J. S., Kim, N., & Pao, C. (2021) · PLoS ONE · doi:10.1371/journal.pone.0259665 · Cited by 28
Almlöf, E., Rubensson, I., Cebecauer, M., & Jenelius, E. (2020) · SSRN Electronic Journal · doi:10.2139/ssrn.3689091 · Cited by 29
County-Level Socioeconomic and Political Predictors of Distancing for COVID-19
Kavanagh, N. M., Goel, R. R., & Venkataramani, A. S. (2021) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2021.01.040 · Cited by 28
Russo, R. G., Li, Y., Ðoàn, L. N., Ali, S. H., Siscovick, D. S., Kwon, S. C., & Yi, S. S. (2021) · Journal of the American Heart Association · doi:10.1161/jaha.121.022721 · Cited by 28
Zhang, W., & Ning, K. (2023) · Annals of the American Association of Geographers · doi:10.1080/24694452.2022.2161986 · Cited by 31
Socioeconomic differences and persistent segregation of Italian territories during COVID-19 pandemic
Bonaccorsi, G., Pierri, F., Scotti, F., Flori, A., Manaresi, F., Ceri, S., & Fabio Pammolli, A. (2021) · Scientific Reports · doi:10.1038/s41598-021-99548-7 · Cited by 27
An ecological perspective on early educator well-being at the start of the COVID-19 pandemic
Hanno, E. C., Gardner, M., Jones, S. M., & Lesaux, N. K. (2022) · Early Childhood Research Quarterly · doi:10.1016/j.ecresq.2022.02.002 · Cited by 35
Luk, J. W., Stangl, B. L., Schwandt, M. L., Gunawan, T., Joseph, P. V., Momenan, R., Goldman, D. A., Diazgranados, N., & Ramchandani, V. A. (2022) · American Psychologist · doi:10.1037/amp0001044 · Cited by 27
Guelmami, N., Khalifa, M. B., Chalghaf, N., Kong, J. D., Tannoubi, A., Wu, J., Azaiez, F., & Bragazzi, N. L. (2021) · JMIR Formative Research · doi:10.2196/27280 · Cited by 28
Interrogating structural inequalities in COVID-19 mortality in England and Wales
Griffith, G. J., Smith, G. D., Manley, D., Howe, L. D., & Owen, G. E. (2021) · Journal of Epidemiology & Community Health · doi:10.1136/jech-2021-216666 · Cited by 25
Erfani, G., & Bahrami, B. (2022) · Cities & Health · doi:10.1080/23748834.2022.2029241 · Cited by 27
Wei, Z., & Mukherjee, S. (2023) · Sustainable Cities and Society · doi:10.1016/j.scs.2023.104408 · Cited by 25
Simon, D., Arano, A., Cammisa, M., Perry, B., Pettersson, S., Riise, J., Valencia, S. C., Oloko, M. O., Sharma, T., Vora, Y., et al. (2021) · City · doi:10.1080/13604813.2021.1894012 · Cited by 24
The Social Psychology of Trauma
Muldoon, O. T. (2024) · Cambridge University Press eBooks · doi:10.1017/9781009306997 · Cited by 23
Does the COVID-19 Pandemic Change Human Mobility Equally Worldwide? Cross-Country Cluster Analysis
Czech, K., Davy, A., & Wielechowski, M. (2021) · Economies · doi:10.3390/economies9040182 · Cited by 24
Corbie, G., D’Agostino, E., Knox, S., Richmond, A., Woods, C. W., Dave, G., Perreira, K. M., Marsolo, K. A., Wruck, L. M., Kibbe, W. A., et al. (2022) · American Journal of Public Health · doi:10.2105/ajph.2022.306953 · Cited by 23
Innovations in public health surveillance: An overview of novel use of data and analytic methods
Rilkoff, H., Struck, S., Ziegler, C., Faye, L. L., Paquette, D. M., & Buckeridge, D. L. (2024) · Canada Communicable Disease Report · doi:10.14745/ccdr.v50i34a02 · Cited by 22
Communities and Testing for COVID-19
Stillman, S., & Tonin, M. (2021) · The European Journal of Health Economics · doi:10.1007/s10198-021-01385-y · Cited by 25
COVID-19 lockdowns and changes in loneliness among young people in the U.K.
Kung, C. S. J., Kunz, J., & Shields, M. A. (2023) · Social Science & Medicine · doi:10.1016/j.socscimed.2023.115692 · Cited by 28
Concerns and adjustments: How the Portuguese population met COVID-19
de Almeida, S. V., Costa, E. P. P. A., Lopes, F. V., Santos, J. V., & Barros, P. P. (2020) · PLoS ONE · doi:10.1371/journal.pone.0240500 · Cited by 21
Volunteer contributions to Wikipedia increased during COVID-19 mobility restrictions
Ruprechter, T., Ribeiro, M. H., Santos, T., Lemmerich, F., Strohmaier, M., West, R., & Helić, D. (2021) · Scientific Reports · doi:10.1038/s41598-021-00789-3 · Cited by 21
Public health preventive measures and child health behaviours during COVID-19: a cohort study
Li, X., Vanderloo, L. M., Maguire, J. L., Keown‐Stoneman, C. D. G., Aglipay, M., Anderson, L. N., Cost, K. T., Charach, A., Vanderhout, S. M., Birken, C. S., et al. (2021) · Canadian Journal of Public Health · doi:10.17269/s41997-021-00549-w · Cited by 21
Rothwell, J., & Smith, E. (2021) · The Annals of the American Academy of Political and Social Science · doi:10.1177/00027162211062137 · Cited by 22
Socioeconomic disparities in mobility behavior during the COVID-19 pandemic in developing countries
Lucchini, L., Langle-Chimal, O., Candeago, L., Melito, L., Chunet, A., Montfort, A., Lepri, B., Lozano‐Gracia, N., & Fraiberger, S. P. (2025) · EPJ Data Science · doi:10.1140/epjds/s13688-025-00532-2 · Cited by 25
The exciting potential and daunting challenge of using GPS human-mobility data for epidemic modeling
Barreras, F., & Watts, D. J. (2024) · Nature Computational Science · doi:10.1038/s43588-024-00637-0 · Cited by 22
Andruetto, C., Bin, E., Susilo, Y. O., & Pernestål, A. (2023) · Transportation Research Part A Policy and Practice · doi:10.1016/j.tra.2023.103644 · Cited by 25
Raman, G., & Peng, J. C. (2021) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2026596118 · Cited by 19
Song, Y. H., Lee, S., Park, A. H., & Lee, C. (2022) · Environment and Planning B Urban Analytics and City Science · doi:10.1177/23998083221124930 · Cited by 19
Wei, R., Zhang, Y., Gao, S., Brown, B. J., Hu, S., & Link, B. G. (2023) · Health & Place · doi:10.1016/j.healthplace.2023.103031 · Cited by 19
Prospective association between receipt of the economic impact payment and mental health outcomes
Tsai, J., Huang, M., Rajan, S. S., & Elbogen, E. B. (2021) · Journal of Epidemiology & Community Health · doi:10.1136/jech-2021-216661 · Cited by 18
Regression Analysis for COVID-19 Infections and Deaths Based on Food Access and Health Issues
Almalki, A., Gokaraju, B., Acquaah, Y. T., & Turlapaty, A. C. (2022) · Healthcare · doi:10.3390/healthcare10020324 · Cited by 18
Fernandez, J. C., Melcher, K., Song, Y. H., Rezaeimalek, S., Liu, P., & Yang, R. (2023) · Sustainable Cities and Society · doi:10.1016/j.scs.2023.105148 · Cited by 19
Determinants of SARS-CoV-2 transmission to guide vaccination strategy in an urban area
Brüningk, S. C., Klatt, J., Stange, M., Mari, A., Brunner, M., Roloff, T. C., Seth-Smith, H. M. B., Schweitzer, M., Leuzinger, K., Søgaard, K. K., et al. (2022) · Virus Evolution · doi:10.1093/ve/veac002 · Cited by 19
O’Neill, B. G., Kalia, S., Hum, S., Gill, P. J., Greiver, M., Kirubarajan, A., Eisen, D., Ferguson, J., & Dunn, S. (2022) · BMC Public Health · doi:10.1186/s12889-022-13388-2 · Cited by 17
Luong, P. J., & Menon, A. (2022) · Journal for the Scientific Study of Religion · doi:10.1111/jssr.12804 · Cited by 17
Sevtsuk, A., Basu, R., Halpern, D., Hudson, A., Ng, K., & de Jong, J. (2022) · Cities · doi:10.1016/j.cities.2022.104006 · Cited by 17
Metadata
- Authors
- Jay, J., Bor, J., Nsoesie, E. O., Lipson, S. K., Jones, D. K., Galea, S., & Raifman, J.
- Affiliations
- Boston University (US)
- Corresponding author
- Jay, Jonathan
- ORCID
- Venue
- Nature Human Behaviour
- Published
- 2020-11-03
- Volume
- 4
- Issue
- 12
- Pages
- 1294-1302
- ISSN
- 2397-3374 (ISSN-L)
- PMC
- PMC8107986
- OpenAlex
- W3096036142
- Cited by
- 346
- References
- 27
- Citations by year
- 2026: 11 · 2025: 35 · 2024: 46 · 2023: 50 · 2022: 89 · 2021: 103 · 2020: 12
- FWCI
- 10.10
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Nature Human Behaviour (publishedVersion)
- medRxiv (acceptedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Funders
- Robert Wood Johnson Foundation (77922)
- National Institutes of Health (UL1TR001430)
- Clinical and Translational Science Institute, Boston University (1UL1TR001430)
- National Institute of Mental Health (K01MH121515)
- National Center for Advancing Translational Sciences
- Topics
- Physical Sciences › Mathematics › Modeling and Simulation › COVID-19 epidemiological studies
- Social Sciences › Transportation › Human Mobility and Location-Based Analysis
- Social Sciences › Sociology and Political Science › COVID-19 Prevention and Impact
- Keywords
- social distancing, COVID-19 pandemic, neighborhood income, socioeconomic disparities, smartphone mobility data, staying at home, work location, low-income neighbourhoods, United States
- MeSH terms
- Teleworking, Physical Distancing, COVID-19, Adult, Employment, Humans, Income, Public Policy, Residence Characteristics, United States
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
