The DOI matches its Crossref record; 57 of the 57 references it cites were found in a registry or an index.
Collectivism predicts mask use during COVID-19
Open accessAbstract
Since its outbreak, COVID-19 has impacted world regions differentially. Whereas some regions still record tens of thousands of new infections daily, other regions have contained the virus. What explains these striking regional differences? We advance a cultural psychological perspective on mask usage, a precautionary measure vital for curbing the pandemic. Four large-scale studies provide evidence that collectivism (versus individualism) positively predicts mask usage-both within the United States and across the world. Analyzing a dataset of all 3,141 counties of the 50 US states (based on 248,941 individuals), Study 1a revealed that mask usage was higher in more collectivistic US states. Study 1b replicated this finding in another dataset of 16,737 individuals in the 50 US states. Analyzing a dataset of 367,109 individuals in 29 countries, Study 2 revealed that mask usage was higher in more collectivistic countries. Study 3 replicated this finding in a dataset of 277,219 Facebook users in 67 countries. The link between collectivism and mask usage was robust to a host of control variables, including cultural tightness-looseness, political affiliation, demographics, population density, socioeconomic indicators, universal health coverage, government response stringency, and time. Our research suggests that culture fundamentally shapes how people respond to crises like the COVID-19 pandemic. Understanding cultural differences not only provides insight into the current pandemic, but also helps the world prepare for future crises.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Indeed, levels of collectivism were associated with higher intentions to engage in social distancing behaviours and mask wearing during the COVID-19 pandemic [44, 45].”
From Adaptive function and correlates of anxiety during a pandemic (2021) · cites this paper as [45]
Citations
Cites
Culture and the self: Implications for cognition, emotion, and motivation.
Markus, H. R., & Kitayama, S. (1991) · Psychological Review · doi:10.1037/0033-295x.98.2.224 · Cited by 21,995
Individualism and Collectivism
Hayek, F. A. (1976) · Routledge eBooks · doi:10.4324/9780203991718-8 · Cited by 6,060
Rethinking individualism and collectivism: Evaluation of theoretical assumptions and meta-analyses.
Oyserman, D., Coon, H. M., & Kemmelmeier, M. (2002) · Psychological Bulletin · doi:10.1037/0033-2909.128.1.3 · Cited by 5,758
Culture, leadership, and organizations: the GLOBE study of 62 societies
(2005) · Choice Reviews Online · doi:10.5860/choice.42-4132 · Cited by 5,058
Using social and behavioural science to support COVID-19 pandemic response
Bavel, J. J. V., Baicker, K., Boggio, P. S., Capraro, V., Cichocka, A., Cikara, M., Crockett, M. J., Crum, A. J., Douglas, K. M., Druckman, J. N., et al. (2020) · Nature Human Behaviour · doi:10.1038/s41562-020-0884-z · Cited by 4,964 · cited 1×
“To curb the pandemic, it is critical that people prioritize the collective welfare over personal convenience (52, 53).”
BackgroundA global panel database of pandemic policies (Oxford COVID-19 Government Response Tracker)
Hale, T., Angrist, N., Goldszmidt, R., Kira, B., Petherick, A., Phillips, T., Webster, S., Cameron-Blake, E., Hallas, L., Majumdar, S., et al. (2021) · Nature Human Behaviour · doi:10.1038/s41562-021-01079-8 · Cited by 4,578
Chu, D. K., Akl, E. A., Duda, S., Solo, K., Yaacoub, S., Schünemann, H. J., Chu, D. K., Akl, E. A., El-harakeh, A., Bognanni, A., et al. (2020) · The Lancet · doi:10.1016/s0140-6736(20)31142-9 · Cited by 3,843
Pundt, A. (2006) · Zeitschrift für Arbeits- und Organisationspsychologie A&O · doi:10.1026/0932-4089.50.3.167 · Cited by 3,747
Differences Between Tight and Loose Cultures: A 33-Nation Study
Gelfand, M. J., Raver, J. L., Nishii, L., Leslie, L. M., Lun, J., Lim, B. C., Duan, L., Almaliach, A., Ang, S., Arnadottir, J., et al. (2011) · Science · doi:10.1126/science.1197754 · Cited by 3,252
Singelis, T. M., Triandis, H. C., Bhawuk, D. P. S., & Gelfand, M. J. (1995) · Cross-Cultural Research · doi:10.1177/106939719502900302 · Cited by 2,324
Cited by
Sorted by citations
Items 301–346 of 346
Ma, M. Z. (2024) · Social and Personality Psychology Compass · doi:10.1111/spc3.70023
Time perspectives and wisdom during zero-COVID: the boundary effect of emotions
Wang, Y., Niu, J.-P., Wang, X.-X., Zhang, Y.-T., Ai, J.-Y., Chen, Y.-Q., & Wang, F. (2024) · Current Psychology · doi:10.1007/s12144-024-07052-8
The US Individualism–Collectivism and Labor Investment Efficiency
Chowdhury, R., Cumming, D. J., & Gorkhali, A. (2024) · Corporate Governance An International Review · doi:10.1111/corg.12629
What Have We Learned from Behavioural Economics for the COVID-19 Response?
Galizzi, M. M., Luptáková, V., Macis, M., & Thode, S. (2024) · Cambridge University Press eBooks · doi:10.1017/9781009438438.004
Evidence from Experiments and Behavioural Insights
Galizzi, M. M. (2024) · Cambridge University Press eBooks · doi:10.1017/9781009438438.003
Randler, C., Jokimäki, J., Kalb, N., Salvo, M. D., Barbosa, R. D. A., Kaisanlahti‐Jokimäki, M., Tsai, J., Ortiz‐Pulido, R., & Tryjanowski, P. (2025) · Social Science Research · doi:10.1016/j.ssresearch.2025.103145
Wang, Y. F., Zhang, X., & Zhong, Y. (2025) · International Journal of Intercultural Relations · doi:10.1016/j.ijintrel.2025.102150
Sawicka, M. (2025) · Symbolic Interaction · doi:10.1002/symb.1240 · Cited by 2
Ryan, M., Ye, J., Sexton, J., Hickson, R. I., & Brindal, E. (2025) · Royal Society Open Science · doi:10.1098/rsos.241941
Fathurrozi, A., Laksana, T. G., Noeman, A., Kustanto, P., Mayadi, M., Lestari, T. S., Priatna, W., Herlawati, H., & Handayanto, R. T. (2024) · International Conference on Informatics and Computing (ICIC) · doi:10.1109/icic64337.2024.10957598
Saito, M. M., Katayama, K., NARUSE, A., Ruan, P., Murakami, M., Okuda, T., Ysutaka, T., Naito, W., Tsubokura, M., & Imoto, S. (2025) · PLoS ONE · doi:10.1371/journal.pone.0321288
Arthur, K. M., Smallman, R., Lowe, J. C., Ni, Y., & Fields, S. A. (2025) · Health Psychology Open · doi:10.1177/20551029251339515
Uricher, R., Nakayama, M., & Uchida, Y. (2025) · Journal of Applied Social Psychology · doi:10.1111/jasp.13103
Paws and Protocols: The Dual Effects of pet Species on Preventive Health Behaviors During COVID-19
Cao, Y., & Li, H. (2025) · Psychological Reports · doi:10.1177/00332941251343541
Chen, Y., Li, R., Liu, Y., Guo, R., He, M., Li, W., Gao, X., Zhang, W., Wei, Y., Chen, Z., et al. (2025) · Psychology Health & Medicine · doi:10.1080/13548506.2025.2512158
Roth, L. H. O., Kawabata, H., & Leder, H. (2025) · Empirical Studies of the Arts · doi:10.1177/02762374251334962
Yin, G., Jiang, Y., & Xie, Y. (2025) · International Social Science Journal · doi:10.1111/issj.12586
Iwatani, S., & Muramoto, Y. (2025) · Asian Journal Of Social Psychology · doi:10.1111/ajsp.70036
Tricoche, L., & Caspar, É. A. (2025) · OSF Preprints (OSF Preprints) · doi:10.31219/osf.io/s6jtk_v2
A Comparative Exploration of Perceived Community and Police Adherence to COVID-19 Regulations
Ivković, S. K., Wu, Y., Liu, Y. V., Kotlaja, M. M., Sun, I. Y., Neyroud, P., Maskály, J., Kobajica, S., França, L. A., Mraović, I. C., et al. (2025) · International Journal of Offender Therapy and Comparative Criminology · doi:10.1177/0306624x251366679
Perceived oppression and online support for COVID-19 non-compliance: the 2021 Trieste port protests
Arletti, A., Candiracci, A., & Cottone, P. (2025) · Frontiers in Political Science · doi:10.3389/fpos.2025.1515923
Lyu, T., Long, R., Zhao, Y., Song, Z., Ma, X., & Yang, Z. (2025) · SAGE Open · doi:10.1177/21582440251391000
Historical Persistence of Meritocratic Selection on Citizen Compliance
Jiang, H., Yi, H., & Zhang, D. (2025) · Governance · doi:10.1111/gove.70070
Feldman, Y. (2025) · Cambridge University Press eBooks · doi:10.1017/9781009057998.007
Perceptions and acceptance of guestroom control technologies: a cross-cultural study
Wang, J., Kim, J. (., Hardin, A., Özdemir, Ö., & Singh, A. (2025) · Journal of Hospitality and Tourism Insights · doi:10.1108/jhti-02-2025-0318
Bayraktar, S., Marcus, J., Jiménez, A., & Yahiaoui, D. (2026) · Journal of Business Research · doi:10.1016/j.jbusres.2026.116099 · Cited by 1
Shein, P. P., Saiful, J. A., Li, Y., Syarkowi, A., Normi, Y. M., Gayatri, Y., Winata, S. G., Asmawi, A. A., Anas, M., Tsai, W.-L., et al. (2026) · Humanities and Social Sciences Communications · doi:10.1057/s41599-026-06942-5
Alfano, V., & Ercolano, S. (2026) · Italian Economic Journal · doi:10.1007/s40797-026-00382-5
Effective Public Health Policy Making Requires a Sound Process
Valdiserri, R. O. (2026) · Journal of Public Health Management and Practice · doi:10.1097/phh.0000000000002371
A Call for the Universal Use of Respirators in Healthcare
Bar‐Yam, Y., Finkel, A. M., Fox, G., Oksanen, L., Šalamon, Š., Toth, L., & Vipond, J. (2026) · NEW SOLUTIONS A Journal of Environmental and Occupational Health Policy · doi:10.1177/10482911261451021
The Relevance of Culture: Collectivism Reduces Negativity Biases in Political Trust
Liang, B. (2026) · Public Opinion Quarterly · doi:10.1093/poq/nfag019
COVID-19 in the United States: A Relational Justice Approach to Public Health Ethics
Zosa, M. A. H., & Withers, M. H. (2026) · Collaborative bioethics · doi:10.1007/978-3-032-21218-4_13
Silent forces: How normative ecologies reshape super-attractors
Zhang, W., Ding, X., & Mu, Y. (2026) · Behavioral and Brain Sciences · doi:10.1017/s0140525x25104378
Culture, ESG, and real environmental performance: Evidence from China
Hu, J., Kong, D., Kercher, K., & Duncan, K. (2026) · Economic Analysis and Policy · doi:10.1016/j.eap.2026.09.033
Strategies for Earthquake Rumor Governance: Evidence From a Survey Experiment
Li, Y., & Sun, L. (2026) · Journal of Contingencies and Crisis Management · doi:10.1111/1468-5973.70245
Zheng, W., Wan, Z., Zhao, Y., & Liu, Z. (2026) · Journal of Happiness Studies · doi:10.1007/s10902-026-01123-2
Interpersonal value regulates infection-risky social contact across 61 societies
Sun, H., Spadaro, G., Pelica, S., Kamiloglu, R. G., Abrahams, L., Ackerman, J. M., Adams, S., Al-Shawaf, L., Alvergne, A., Amponsah, B., et al. (2026) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2615739123
Rhea, L., Rangel, V. S., Louis, D. A., Katz, S. M., Day, S. X., & Davis, T. J. (2026) · American Educational Research Journal · doi:10.3102/00028312261483636
Lu, J. G., Zhao, G. G., & Zheng, A. (2026) · Strategic Entrepreneurship Journal · doi:10.1002/sej.70050
Self-citation
Metadata
- Authors
- Lu, J. G., Jin, P., & English, A. S.
- Affiliations
- Massachusetts Institute of Technology (US)
- Shanghai International Studies University (CN)
- Corresponding author
- Lu, Jackson G.
- English, Alexander S.
- Venue
- Proceedings of the National Academy of Sciences
- Publisher
- National Academy of Sciences
- Published
- 2021-05-20
- Volume
- 118
- Issue
- 23
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- PMC
- PMC8201834
- OpenAlex
- W3160951844
- Cited by
- 342
- References
- 57
- Citations by year
- 2026: 20 · 2025: 49 · 2024: 57 · 2023: 73 · 2022: 118 · 2021: 23
- FWCI
- 67.37
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Proceedings of the National Academy of Sciences (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- DSpace@MIT (Massachusetts Institute of Technology) (submittedVersion, cc-by-nc)
- Funders
- Massachusetts Institute of Technology
- Topics
- Social Sciences › Psychology › Social Psychology › Cultural Differences and Values
- Social Sciences › Sociology and Political Science › COVID-19 Prevention and Impact
- Physical Sciences › Mathematics › Modeling and Simulation › COVID-19 epidemiological studies
- Keywords
- collectivism, individualism, masking, COVID-19 pandemic, cultural values, cross-national comparison, cultural tightness-looseness, crisis response, cultural psychology, public health behavior
- MeSH terms
- COVID-19, SARS-CoV-2, Humans, Individuality, Masks, Pandemics
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