Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

Advertisement

npj Vaccines
  • View all journals
  • Search
  • My Account Login
  • Content Explore content
  • About the journal
  • Publish with us
  • Sign up for alerts
  • RSS feed
  1. nature
  2. npj vaccines
  3. articles
  4. article
Evaluation of the effectiveness of social mobilization for vaccination among healthcare and non-healthcare workers in emergency situations
Download PDF
Download PDF
  • Article
  • Open access
  • Published: 19 February 2026

Evaluation of the effectiveness of social mobilization for vaccination among healthcare and non-healthcare workers in emergency situations

  • Qingsong Xu1,2,
  • Xiyu Zhang1,2,
  • Tiancheng Xie1,2,
  • Hua Wei1,2,
  • Yujie Cheng1,3,
  • Hao Tai1,3,
  • Yuxiao Wei1,3,
  • Qing-Bin Lu2,4 &
  • …
  • Fuqiang Cui2,4 

npj Vaccines , Article number:  (2026) Cite this article

  • 139 Accesses

  • 1 Altmetric

  • Metrics details

We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors present which affect the content, and all legal disclaimers apply.

Subjects

  • Health care
  • Medical research

Abstract

Emergency vaccination programs face unique challenges requiring effective social mobilization strategies, yet comprehensive evaluations of mobilization effectiveness across population settings and temporal phases remain limited. This cross-sectional study conducted from September 2024 to January 2025 included 3048 healthcare workers and 3722 non-healthcare workers in China using multi-stage stratified sampling across eastern, central, and western regions. Participants retrospectively evaluated vaccination attitudes across three COVID-19 vaccination phases: pre-mobilization (2020), in-mobilization (2021-2022), and post-mobilization (2023). Healthcare workers showed increased vaccination willingness in-mobilization (53.5% to 56.2%, p < 0.05), while non-healthcare workers demonstrated sustained increases from 45.1% to 48.1% and 46.5% (p < 0.05). In-mobilization, collective responsibility remained the strongest predictor for healthcare workers (OR = 2.69, 95% CI: 1.85-3.89), while social identity emerged for non-healthcare workers (OR = 3.24, 95% CI: 2.10-4.99). These findings suggest that association between social mobilization and vaccination willingness depends on population-specific intervention strategies acknowledging distinct motivational frameworks and temporal dynamics in emergency vaccination contexts.

Similar content being viewed by others

Barriers and drivers of positive COVID-19 vaccination behaviours among healthcare workers in Europe and Central Asia: a qualitative cross-country synthesis

Article Open access 08 December 2023

Determinants of vaccine hesitancy among healthcare workers in an international multicenter study within the EuCARE project

Article Open access 28 August 2025

Assessment of adverse events among healthcare workers following the Janssen COVID-19 vaccine in Tigray, Ethiopia

Article Open access 08 February 2024

Data availability

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

References

  1. Andre, F. E. et al. Vaccination greatly reduces disease, disability, death and inequity worldwide. Bull. World Health Organ. 86, 140–146 (2008).

    Google Scholar 

  2. Ozawa, S. et al. Return on investment from childhood immunization in low- and middle-income Countries, 2011-20. Health Aff. 35, 199–207 (2016).

    Google Scholar 

  3. Shet, A. et al. Impact of the SARS-CoV-2 pandemic on routine immunisation services: evidence of disruption and recovery from 170 countries and territories. Lancet Glob. Health 10, e186–e194 (2022).

    Google Scholar 

  4. Protecting the public’s health: critical functions of the Section 317 Immunization Program-a report of the National Vaccine Advisory Committee. Public Health Rep. 128, 78–95 (2013).

  5. Nelson, C., Lurie, N., Wasserman, J. & Zakowski, S. Conceptualizing and defining public health emergency preparedness. Am. J. Public Health 97, S9–S11 (2007).

    Google Scholar 

  6. Biswas, M. R., Alzubaidi, M. S., Shah, U., Abd-Alrazaq, A. A. & Shah, Z. A scoping review to find out worldwide COVID-19 vaccine hesitancy and its underlying determinants. Vaccines https://doi.org/10.3390/vaccines9111243 (2021).

    Google Scholar 

  7. Troiano, G. & Nardi, A. Vaccine hesitancy in the era of COVID-19. Public Health 194, 245–251 (2021).

    Google Scholar 

  8. Lazarus, J. V. et al. A global survey of potential acceptance of a COVID-19 vaccine. Nat. Med. 27, 225–228 (2021).

    Google Scholar 

  9. Soares, P. et al. Factors associated with COVID-19 vaccine hesitancy. Vaccines https://doi.org/10.3390/vaccines9030300 (2021).

    Google Scholar 

  10. Loomba, S., de Figueiredo, A., Piatek, S. J., de Graaf, K. & Larson, H. J. Measuring the impact of COVID-19 vaccine misinformation on vaccination intent in the UK and USA. Nat. Hum. Behav. 5, 337–348 (2021).

    Google Scholar 

  11. Roozenbeek, J. et al. Susceptibility to misinformation about COVID-19 around the world. R. Soc. Open Sci. 7, 201199 (2020).

    Google Scholar 

  12. World Health Organization. Advocacy, communication and social mobilization to fight TB : a 10-year framework for action / ASCM Subgroup at Country Level, https://iris.who.int/bitstream/handle/10665/43474/9241594276_eng.pdf?sequence=1 (2006).

  13. World Health Organization. Key Messages for Social Mobilization and Community Engagement in Intense Transmission Areas, https://iris.who.int/bitstream/handle/10665/136472/WHO_EVD_Guidance_SocMob_14.1_eng.pdf?sequence=1 (2014).

  14. Freudenberg, N. Community capacity for environmental health promotion: determinants and implications for practice. Health Educ. Behav. 31, 472–490 (2004).

    Google Scholar 

  15. Thomson, A., Robinson, K. & Vallée-Tourangeau, G. The 5As: a practical taxonomy for the determinants of vaccine uptake. Vaccine 34, 1018–1024 (2016).

    Google Scholar 

  16. MacDonald, N. E. Vaccine hesitancy: definition, scope and determinants. Vaccine 33, 4161–4164 (2015).

    Google Scholar 

  17. Schmid, P., Rauber, D., Betsch, C., Lidolt, G. & Denker, M. L. Barriers of influenza vaccination intention and behavior—a systematic review of influenza vaccine hesitancy, 2005 - 2016. PLoS ONE 12, e0170550 (2017).

    Google Scholar 

  18. Paterson, P. et al. Vaccine hesitancy and healthcare providers. Vaccine 34, 6700–6706 (2016).

    Google Scholar 

  19. Verger, P. et al. Vaccine hesitancy among general practitioners and its determinants during controversies: a national cross-sectional survey in France. EBioMedicine 2, 891–897 (2015).

    Google Scholar 

  20. Shekhar, R. et al. COVID-19 vaccine acceptance among health care workers in the United States. Vaccines https://doi.org/10.3390/vaccines9020119 (2021).

    Google Scholar 

  21. Dror, A. A. et al. Vaccine hesitancy: the next challenge in the fight against COVID-19. Eur. J. Epidemiol. 35, 775–779 (2020).

    Google Scholar 

  22. Freeman, D. et al. COVID-19 vaccine hesitancy in the UK: the Oxford coronavirus explanations, attitudes, and narratives survey (Oceans) II. Psychol. Med. 52, 3127–3141 (2022).

    Google Scholar 

  23. Sallam, M. COVID-19 vaccine hesitancy worldwide: a concise systematic review of vaccine acceptance rates. Vaccines https://doi.org/10.3390/vaccines9020160 (2021).

    Google Scholar 

  24. Brewer, N. T., Chapman, G. B., Rothman, A. J., Leask, J. & Kempe, A. Increasing vaccination: putting psychological science into action. Psychol. Sci. Public Interest 18, 149–207 (2017).

    Google Scholar 

  25. Larson, H. J., Gakidou, E. & Murray, C. J. L. The vaccine-hesitant moment. N. Engl. J. Med. 387, 58–65 (2022).

    Google Scholar 

  26. Robinson, E., Jones, A., Lesser, I. & Daly, M. International estimates of intended uptake and refusal of COVID-19 vaccines: A rapid systematic review and meta-analysis of large nationally representative samples. Vaccine 39, 2024–2034 (2021).

    Google Scholar 

  27. Lin, C., Tu, P. & Beitsch, L. M. Confidence and receptivity for COVID-19 vaccines: a rapid systematic review. Vaccines https://doi.org/10.3390/vaccines9010016 (2020).

    Google Scholar 

  28. Michie, S., van Stralen, M. M. & West, R. The behaviour change wheel: a new method for characterising and designing behaviour change interventions. Implement Sci. 6, 42 (2011).

    Google Scholar 

  29. Hassan, E. Recall Bias can be a threat to retrospective and prospective research designs. Internet J. Epidemiol. 3, 4 (2005).

  30. Althubaiti, A. Information bias in health research: definition, pitfalls, and adjustment methods. J. Multidiscip. Health. 9, 211–217 (2016).

    Google Scholar 

  31. Mc, N. Q. Note on the sampling error of the difference between correlated proportions or percentages. Psychometrika 12, 153–157 (1947).

    Google Scholar 

  32. Bryk, A. S. & Raudenbush, S. W. Hierarchical Linear Models: Applications and Data Analysis Methods. (Sage Publications, 1992).

  33. Bollen, K. A. Structural Equations with Latent Variables. (John Wiley & Sons, 1989).

  34. Gagneux-Brunon, A. et al. Intention to get vaccinations against COVID-19 in French healthcare workers during the first pandemic wave: a cross-sectional survey. J. Hosp. Infect. 108, 168–173 (2021).

    Google Scholar 

  35. Larson, H. J., Jarrett, C., Eckersberger, E., Smith, D. M. D. & Paterson, P. Understanding vaccine hesitancy around vaccines and vaccination from a global perspective: a systematic review of published literature, 2007–2012. Vaccine 32, 2150–2159 (2014).

    Google Scholar 

  36. Tom L. Beauchamp, J. F. C. Principles of Biomedical Ethics. 8th edn, (Oxford University Press, 2019).

  37. Granovetter, M. S. in Social Networks (ed. Leinhardt, S.) 347–367 (Academic Press, 1977).

  38. Karafillakis, E. et al. Vaccine hesitancy among healthcare workers in Europe: a qualitative study. Vaccine 34, 5013–5020 (2016).

    Google Scholar 

  39. Hollmeyer, H. G., Hayden, F., Poland, G. & Buchholz, U. Influenza vaccination of health care workers in hospitals—a review of studies on attitudes and predictors. Vaccine 27, 3935–3944 (2009).

    Google Scholar 

  40. Cialdini, R. B. a. Influence: The Psychology of Persuasion. (Revised edition. First Collins Business Essentials Edition. (Collins Business, 2007).

  41. Bandura, A. Social cognitive theory: an agentic perspective. Annu Rev. Psychol. 52, 1–26 (2001).

    Google Scholar 

  42. Bandura, A. Health promotion by social cognitive means. Health Educ. Behav. 31, 143–164 (2004).

    Google Scholar 

  43. Centola, D. How Behavior Spreads: The Science of Complex Contagions. (Princeton University Press, 2018).

  44. Wang, W., Liu, Q. H., Liang, J., Hu, Y. & Zhou, T. Coevolution spreading in complex networks. Phys. Rep. 820, 1–51 (2019).

    Google Scholar 

  45. Nilsen, P. Making sense of implementation theories, models and frameworks. Implement Sci. 10, 53 (2015).

    Google Scholar 

  46. Valente, T. W. Social networks and health: models, methods, and applications. 1st ed https://doi.org/10.1093/acprof:oso/9780195301014.001.0001 (Oxford University Press, 2010).

  47. Broniatowski, D. A. et al. Weaponized health communication: twitter bots and russian trolls amplify the vaccine debate. Am. J. Public Health 108, 1378–1384 (2018).

    Google Scholar 

  48. Kata, A. Anti-vaccine activists, Web 2.0, and the postmodern paradigm—an overview of tactics and tropes used online by the anti-vaccination movement. Vaccine 30, 3778–3789 (2012).

    Google Scholar 

  49. Kuter, B. J. et al. Perspectives on the receipt of a COVID-19 vaccine: a survey of employees in two large hospitals in Philadelphia. Vaccine 39, 1693–1700 (2021).

    Google Scholar 

  50. Malik, A. A. et al. Behavioral interventions for vaccination uptake: a systematic review and meta-analysis. Health Policy 137, 104894 (2023).

    Google Scholar 

  51. Betsch, C. et al. Beyond confidence: development of a measure assessing the 5C psychological antecedents of vaccination. PLoS ONE 13, e0208601 (2018).

    Google Scholar 

  52. Khoury, M. J., Iademarco, M. F. & Riley, W. T. Precision public health for the era of precision medicine. Am. J. Prev. Med. 50, 398–401 (2016).

    Google Scholar 

  53. Dowell, S. F., Blazes, D. & Desmond-Hellmann, S. Four steps to precision public health. Nature 540, 189–191 (2016).

    Google Scholar 

  54. Damschroder, L. J. et al. Fostering implementation of health services research findings into practice: a consolidated framework for advancing implementation science. Implement Sci. 4, 50 (2009).

    Google Scholar 

  55. Chambers, D. A., Glasgow, R. E. & Stange, K. C. The dynamic sustainability framework: addressing the paradox of sustainment amid ongoing change. Implement Sci. 8, 117 (2013).

    Google Scholar 

Download references

Acknowledgements

This study was supported by National Social Science Foundation of China (Grant No. 22BGL246). The funders played no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Author information

Authors and Affiliations

  1. Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China

    Qingsong Xu, Xiyu Zhang, Tiancheng Xie, Hua Wei, Yujie Cheng, Hao Tai & Yuxiao Wei

  2. Vaccine Research Center, School of Public Health, Peking University, Beijing, China

    Qingsong Xu, Xiyu Zhang, Tiancheng Xie, Hua Wei, Qing-Bin Lu & Fuqiang Cui

  3. Center for Infectious Diseases and Policy Research & Global Health and Infectious Diseases Group, Peking University, Beijing, China

    Yujie Cheng, Hao Tai & Yuxiao Wei

  4. Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, China

    Qing-Bin Lu & Fuqiang Cui

Authors
  1. Qingsong Xu
    View author publications

    Search author on:PubMed Google Scholar

  2. Xiyu Zhang
    View author publications

    Search author on:PubMed Google Scholar

  3. Tiancheng Xie
    View author publications

    Search author on:PubMed Google Scholar

  4. Hua Wei
    View author publications

    Search author on:PubMed Google Scholar

  5. Yujie Cheng
    View author publications

    Search author on:PubMed Google Scholar

  6. Hao Tai
    View author publications

    Search author on:PubMed Google Scholar

  7. Yuxiao Wei
    View author publications

    Search author on:PubMed Google Scholar

  8. Qing-Bin Lu
    View author publications

    Search author on:PubMed Google Scholar

  9. Fuqiang Cui
    View author publications

    Search author on:PubMed Google Scholar

Contributions

Q.X., X.Z., and F.C. conceptualized the study and designed the analytical framework; T.X., H.W., Y.C., H.T., and Y.W. contributed to the data collection and collation; Q.X. contributed to the data analysis; F.C. and L.Q. provided administrative, technical, and material support, supervision, and mentorship; All authors contributed to writing the report and critical revision of the manuscript.

Corresponding author

Correspondence to Fuqiang Cui.

Ethics declarations

Competing interests

The authors declare no competing interests.

Additional information

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary information

Supplementary information

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Xu, Q., Zhang, X., Xie, T. et al. Evaluation of the effectiveness of social mobilization for vaccination among healthcare and non-healthcare workers in emergency situations. npj Vaccines (2026). https://doi.org/10.1038/s41541-026-01392-1

Download citation

  • Received: 04 September 2025

  • Accepted: 27 January 2026

  • Published: 19 February 2026

  • DOI: https://doi.org/10.1038/s41541-026-01392-1

Share this article

Anyone you share the following link with will be able to read this content:

Sorry, a shareable link is not currently available for this article.

Provided by the Springer Nature SharedIt content-sharing initiative

Download PDF

Advertisement

Explore content

  • Research articles
  • Reviews & Analysis
  • News & Comment
  • Collections
  • Follow us on X
  • Sign up for alerts
  • RSS feed

About the journal

  • Aims & Scope
  • Content types
  • Journal Information
  • About the Editors
  • Contact
  • Open Access
  • Calls for Papers
  • Editorial policies
  • Article Processing Charges
  • Journal Metrics
  • About the Partner

Publish with us

  • For Authors and Referees
  • Language editing services
  • Open access funding
  • Submit manuscript

Search

Advanced search

Quick links

  • Explore articles by subject
  • Find a job
  • Guide to authors
  • Editorial policies

npj Vaccines (npj Vaccines)

ISSN 2059-0105 (online)

nature.com sitemap

About Nature Portfolio

  • About us
  • Press releases
  • Press office
  • Contact us

Discover content

  • Journals A-Z
  • Articles by subject
  • protocols.io
  • Nature Index

Publishing policies

  • Nature portfolio policies
  • Open access

Author & Researcher services

  • Reprints & permissions
  • Research data
  • Language editing
  • Scientific editing
  • Nature Masterclasses
  • Research Solutions

Libraries & institutions

  • Librarian service & tools
  • Librarian portal
  • Open research
  • Recommend to library

Advertising & partnerships

  • Advertising
  • Partnerships & Services
  • Media kits
  • Branded content

Professional development

  • Nature Awards
  • Nature Careers
  • Nature Conferences

Regional websites

  • Nature Africa
  • Nature China
  • Nature India
  • Nature Japan
  • Nature Middle East
  • Privacy Policy
  • Use of cookies
  • Legal notice
  • Accessibility statement
  • Terms & Conditions
  • Your US state privacy rights
Springer Nature

© 2026 Springer Nature Limited

Nature Briefing

Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing