Citizen Science and Scientific Communication: What, When, Where and How to inform and Who should communicate about Long COVID

Authors

DOI:

https://doi.org/10.35669/rcys.2025.15.e364

Keywords:

Long COVID, Scientific Communication, Citizen Science, information, recommendations

Abstract

Introduction: The lack of adequate health information, especially during crises such as COVID-19, creates distrust and misinformation, which negatively impacts public health and medical care. Long COVID patients face scepticism, highlighting the urgency of improved communication and research to support their recovery. Methodology: Structured interviews with 42 Long COVID patients, 10 healthcare professionals, and 11 health communication specialists to obtain a comprehensive picture of the situation and develop recommendations. Results: The need for institutional recognition of Long COVID is emphasized. The creation of official digital platforms and increased awareness among primary care physicians is suggested. The importance of collaboration between government bodies, associations, patient groups, and communication experts is emphasised to provide multidisciplinary and transparent information, considering the evolution of scientific research. Discussion: Improving the communication and recognition of Long COVID can reduce misinformation and distrust. Collaboration between actors is key to ensuring effective and accurate information dissemination. Scientific communication actions, such as conferences and reports, are significant steps to raise awareness among society and health professionals about Long COVID. Conclusions: It is crucial to optimize the dissemination of information about Long COVID via official digital platforms and increase medical awareness. Multidisciplinary collaboration and scientific communication activities are essential to support patients and improve public health.

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Author Biographies

Jennifer García Carrizo, Universidad Rey Juan Carlos

Teacher and Researcher at Universidad Rey Juan Carlos. She holds an International PhD in Audiovisual Communication, Advertising, and Public Relations from Universidad Complutense de Madrid, where she received several awards for her academic excellence. She has held the Juan de la Cierva postdoctoral contract and is a member of the Ciberimaginario Research Group. She has been selected as a crew journalist for the Hypatia II analogue mission at the Mars Desert Research Station in 2025. She has received over 25 scholarships and 8 Awards for Excellence in Research and has completed residencies at prestigious European and Spanish universities.

Manuel Gertrudix, Universidad Rey Juan Carlos

Professor of Digital Communication and Multimedia at the Universidad Rey Juan Carlos, coordinator of the Ciberimaginario research group and co-editor of Icono14. Specialising in communication and digital education, he has led 12 research projects and participated in more than 25, with more than 150 publications. He was Vice-Rector for Quality, Ethics and Good Governance (2018-2021) and Academic Director of CIED (2013-2017) at the URJC. He has worked at the Ministry of Education and as a professor at various universities. He has completed research stays in the USA and Scotland and teaching stays in Argentina, Colombia and Brazil. He is the academic director of the Master's programme in Investigative Journalism, New Narratives, Data, Fact-Checking and Transparency at the URJC-El Confidencial.

References

Allgaier, J., & Svalastog, A. L. (2015). The communication aspects of the Ebola virus disease outbreak in Western Africa–do we need to counter one, two, or many epidemics? Croatian medical journal, 56(5), e496. https://doi.org/10.3325/cmj.2015.56.496 DOI: https://doi.org/10.3325/cmj.2015.56.496

Alwan, N. A. (2021). The teachings of Long COVID. Communications Medicine, 1(1), 15. https://doi.org/10.1038/s43856-021-00016-0 DOI: https://doi.org/10.1038/s43856-021-00016-0

Asadi-Pooya, A. A., Akbari, A., Emami, A., Lotfi, M., Rostamihosseinkhani, M., Nemati, H., ... & Shahisavandi, M. (2021). Risk factors associated with long COVID syndrome: a retrospective study. Iranian journal of medical sciences, 46(6), e428. https://doi.org/10.30476/ijms.2021.92080.2326

Benigeri, M., & Pluye, P. (2003). Shortcomings of health information on the Internet. Health promotion international, 18(4), 381-386. https://doi.org/10.1093/heapro/dag409 DOI: https://doi.org/10.1093/heapro/dag409

Boix, V., & Merino, E. (2022). Post-COVID syndrome. The never ending challenge. Medicina Clinica (English Ed.), 158(4), 178. https://doi.org/10.1016/j.medcle.2021.10.005 DOI: https://doi.org/10.1016/j.medcle.2021.10.005

van den Brink-Muinen, A., Verhaak, P. F., Bensing, J. M., Bahrs, O., Deveugele, M., Gask, L., ... & Peltenburg, M. (2003). Communication in general practice: differences between European countries. Family Practice, 20(4), 478-485. https://doi.org/10.1093/fampra/cmg426 DOI: https://doi.org/10.1093/fampra/cmg426

Brown, K., Yahyouche, A., Haroon, S., Camaradou, J., & Turner, G. (2022). Long COVID and self-management. Lancet (London, England), 399(10322), https://doi.org/10.1016/S0140-6736(21)02798-7 DOI: https://doi.org/10.1016/S0140-6736(21)02798-7

Bucciarelli, V., Nasi, M., Bianco, F., Seferovic, J., Ivkovic, V., Gallina, S., & Mattioli, A. V. (2022). Depression pandemic and cardiovascular risk in the COVID-19 era and long COVID syndrome: gender makes a difference. Trends in cardiovascular medicine, 32(1), 12-17. https://doi.org/10.1016/j.tcm.2021.09.009 DOI: https://doi.org/10.1016/j.tcm.2021.09.009

Chou, W. Y. S., Gaysynsky, A., & Cappella, J. N. (2020). Where we go from here: health misinformation on social media. American journal of public health, 110(S3), S273-S275. https://doi.org/10.2105/AJPH.2020.305905 DOI: https://doi.org/10.2105/AJPH.2020.305905

Chou, W. Y. S., Oh, A., & Klein, W. M. (2018). Addressing health-related misinformation on social media. Jama, 320(23), 2417-2418. https://doi.org/10.1001/jama.2018.16865 DOI: https://doi.org/10.1001/jama.2018.16865

Dang, D., Pekkola, S., Pham, S., & Vartiainen, T. (2022). Platformization practices of health information systems: A case of national ehealth platforms. In Proceedings of the 55th Hawaii International Conference on System Sciences. Annual Hawaii International Conference on System Sciences. https://hdl.handle.net/10125/80140 DOI: https://doi.org/10.24251/HICSS.2022.800

European Commission. (2020). Policies. Tackling online disinformation. https://www.digital-strategy.ec.europa.eu/en/policies/online-disinformation

European Commission. (2022). COVID-19 disinformation monitoring programme. https://digital-strategy.ec.europa.eu/en/policies/COVID-19-disinformation-monitoring

Fernández-de-Las-Peñas, C., Martín-Guerrero, J. D., Pellicer-Valero, Ó. J., Navarro-Pardo, E., Gómez-Mayordomo, V., Cuadrado, M. L., ... & Arendt-Nielsen, L. (2022). Female sex is a risk factor associated with long-term post-COVID related-symptoms but not with COVID-19 symptoms: the LONG-COVID-EXP-CM multicenter study. Journal of clinical medicine, 11(2), 413. https://doi.org/10.3390/jcm11020413 DOI: https://doi.org/10.3390/jcm11020413

Gérvas, J., & Pérez Fernández, M. (2005). El fundamento científico de la función de filtro del médico general. Revista Brasileira de Epidemiologia, 8, 205-218. https://doi.org/10.1590/S1415-790X2005000200013 DOI: https://doi.org/10.1590/S1415-790X2005000200013

Gibson-Helm, M., Teede, H., Dunaif, A., & Dokras, A. (2017). Delayed diagnosis and a lack of information associated with dissatisfaction in women with polycystic ovary syndrome. The Journal of Clinical Endocrinology & Metabolism, 102(2), 604-612. https://doi.org/10.1210/jc.2016-2963 DOI: https://doi.org/10.1210/jc.2016-2963

Gorman J. & Scales D. (2021). Long COVID Is Pitting Patients Against Doctors. That's a Problem. https://www.medscape.com/viewarticle/965494

Laestadius, L. I., Guidry, J. P., Bishop, A., & Campos-Castillo, C. (2022). State health department communication about long COVID in the United States on Facebook: risks, prevention, and support. International Journal of Environmental Research and Public Health, 19(10), 5973. https://doi.org/10.3390/ijerph19105973 DOI: https://doi.org/10.3390/ijerph19105973

Larson, H.J. (2018). The biggest pandemic risk? Viral misinformation. NATURE, 562, 309-310. https://doi.org/10.1038/d41586-018-07034-4 DOI: https://doi.org/10.1038/d41586-018-07034-4

Lasswell, H.D. (1948). The structure and function of communication in society. The communication of ideas, 37(1), 136-139. https://www.sipa.jlu.edu.cn/__local/E/39/71/4CE63D3C04A10B5795F0108EBE6_A7BC17AA_34AAE.pdf

Liu, B. F., & Kim, S. (2011). How organizations framed the 2009 H1N1 pandemic via social and traditional media: Implications for US health communicators. Public relations review, 37(3), 233-244. https://doi.org/10.1016/j.pubrev.2011.03.005 DOI: https://doi.org/10.1016/j.pubrev.2011.03.005

Macpherson, K., Cooper, K., Harbour, J., Mahal, D., Miller, C., & Nairn, M. (2022). Experiences of living with long COVID and of accessing healthcare services: a qualitative systematic review. BMJ open, 12(1), e050979. https://doi.org/10.1136/bmjopen-2021-050979 DOI: https://doi.org/10.1136/bmjopen-2021-050979

Másilková, M. (2017). Sociálně zdravotní důsledky dopravních nehod. KONTAKT, 19(1), e43.https://doi.org/10.1016/j.kontakt.2017.01.007 DOI: https://doi.org/10.1016/j.kontakt.2017.01.007

McCarroll, M. L., Armbruster, S. D., Chung, J. E., Kim, J., McKenzie, A., & von Gruenigen, V. E. (2014). Health care and social media platforms in hospitals. Health communication, 29(9), 947-952. https://doi.org/10.1080/10410236.2013.813831 DOI: https://doi.org/10.1080/10410236.2013.813831

Mian, A., & Khan, S. (2020). Coronavirus: the spread of misinformation. BMC medicine, 18. https://doi.org/10.1186/s12916-020-01556-3 DOI: https://doi.org/10.1186/s12916-020-01556-3

Miyake, E., & Martin, S. (2021). Long COVID: Online patient narratives, public health communication and vaccine hesitancy. Digital health, 7, e20552076211059649. https://doi.org/10.1177/20552076211059649 DOI: https://doi.org/10.1177/20552076211059649

Nabavi, N. (2020). Long COVID: How to define it and how to manage it. BMJ, 370, m3489 https://doi.org/10.1136/bmj.m3489 DOI: https://doi.org/10.1136/bmj.m3489

Nimako, B. A., Yao, L., & He, Q. (2023). Quality communication can improve patient-centred health outcomes among older patients: A rapid review. BMC Health Services Research, 23(1), 867. https://doi.org/10.1186/s12913-023-09869-8 DOI: https://doi.org/10.1186/s12913-023-09869-8

Nsoesie, E. O., & Oladeji, O. (2020). Identifying patterns to prevent the spread of misinformation during epidemics. The Harvard Kennedy School Misinformation Review. https://doi.org/10.37016/mr-2020-014 DOI: https://doi.org/10.37016/mr-2020-014

Office for National Statistics (2022). Prevalence of ongoing symptoms following coronavirus (COVID-19) infection in the UK. https://www.ons.gov.uk/peoplepopulationandcommunity/healthandsocialcare/conditionsanddiseases/bulletins/prevalenceofongoingsymptomsfollowingcoronavirusCOVID19infectionintheuk/7july2022

Oyeyemi, S. O., Gabarron, E., & Wynn, R. (2014). Ebola, Twitter, and misinformation: a dangerous combination? Bmj, 349. https://doi.org/10.1136/bmj.g6178 DOI: https://doi.org/10.1136/bmj.g6178

Pathak, R., Poudel, D. R., Karmacharya, P., Pathak, A., Aryal, M. R., Mahmood, M., & Donato, A. A. (2015). YouTube as a source of information on Ebola virus disease. North American journal of medical sciences, 7(7), e306. https://doi.org/10.4103/1947-2714.161244 DOI: https://doi.org/10.4103/1947-2714.161244

Pelà, G., Goldoni, M., Solinas, E., Cavalli, C., Tagliaferri, S., Ranzieri, S., ... & Chetta, A. (2022). Sex-related differences in long-COVID-19 syndrome. Journal of Women's Health, 31(5), 620-630. https://doi.org/10.1089/jwh.2021.0411 DOI: https://doi.org/10.1089/jwh.2021.0411

Raveendran, A. V., Jayadevan, R., & Sashidharan, S. (2021). Long COVID: an overview. Diabetes & Metabolic Syndrome: Clinical Research & Reviews, 15(3), 869-875. https://doi.org/10.1016/j.dsx.2021.04.007 DOI: https://doi.org/10.1016/j.dsx.2021.04.007

Roberts, H., Seymour, B., Fish, S. A., Robinson, E., & Zuckerman, E. (2017). Digital health communication and global public influence: a study of the Ebola epidemic. Journal of Health Communication, 22(sup1), 51-58. https://doi.org/10.1080/10810730.2016.1209598 DOI: https://doi.org/10.1080/10810730.2016.1209598

Rocha, Y. M., de Moura, G. A., Desidério, G. A., de Oliveira, C. H., Lourenço, F. D., & de Figueiredo Nicolete, L. D. (2021). The impact of fake news on social media and its influence on health during the COVID-19 pandemic: A systematic review. Journal of Public Health, 1-10. https://doi.org/10.1007/s10389-021-01658-z DOI: https://doi.org/10.1007/s10389-021-01658-z

Rodgers, K., & Massac, N. (2020). Misinformation: a threat to the public's health and the public health system. Journal of Public Health Management and Practice, 26(3), 294-296. https://doi.org/10.1097/PHH.0000000000001163 DOI: https://doi.org/10.1097/PHH.0000000000001163

Rubin, R. (2020). As their numbers grow, COVID-19 “long haulers” stump experts. Jama, 324(14), 1381-1383. https://doi.org/10.1001/jama.2020.17709 DOI: https://doi.org/10.1001/jama.2020.17709

Rushforth, A., Ladds, E., Wieringa, S., Taylor, S., Husain, L., & Greenhalgh, T. (2021). Long COVID–the illness narratives. Social science & medicine, 286, 114326. https://doi.org/10.1016/j.socscimed.2021.114326 DOI: https://doi.org/10.1016/j.socscimed.2021.114326

Santos-d'Amorim, K., & de Oliveira Miranda, M. F. (2021). Informação incorreta, desinformação e má informação: Esclarecendo definições e exemplos em tempos de desinfodemia. Encontros Bibli: Revista eletrônica de Biblioteconomia e Ciência da informação, 26, 01-23. https://doi.org/10.5007/1518-2924.2021.e76900 DOI: https://doi.org/10.5007/1518-2924.2021.e76900

Southwell, B. G., Niederdeppe, J., Cappella, J. N., Gaysynsky, A., Kelley, D. E., Oh, A., ... & Chou, W. Y. S. (2019). Misinformation as a misunderstood challenge to public health. American journal of preventive medicine, 57(2), 282-285. https://doi.org/10.1016/j.amepre.2019.03.009 DOI: https://doi.org/10.1016/j.amepre.2019.03.009

Tong, A., Sainsbury, P., & Craig, J. (2007). Consolidated criteria for reporting qualitative research (COREQ): a 32-item checklist for interviews and focus groups. International journal for quality in health care, 19(6), 349-357. https://doi.org/10.1093/intqhc/mzm042 DOI: https://doi.org/10.1093/intqhc/mzm042

Torjesen, I. (2021). COVID-19: Middle aged women face greater risk of debilitating long-term symptoms. Brit Med J, 372(829). https://doi.org/10.1136/bmj.n829 DOI: https://doi.org/10.1136/bmj.n829

Usta, Y. Y. (2012). Importance of social support in cancer patients. Asian Pacific Journal of Cancer Prevention, 13(8), 3569-3572. https://doi.org/10.7314/APJCP.2012.13.8.3569 DOI: https://doi.org/10.7314/APJCP.2012.13.8.3569

Wei, H., Chen, J., Gan, X., & Liang, Z. (2022). Eight-element communication model for Internet health rumors: A new exploration of Lasswell’s “5W Communication Model”. Healthcare, 10(12), 2507. https://doi.org/10.3390/healthcare10122507 DOI: https://doi.org/10.3390/healthcare10122507

Williams, S. L., Ames, K., & Lawson, C. (2019). Preferences and trust in traditional and non-traditional sources of health information–a study of middle to older aged Australian adults. Journal of Communication in Healthcare, 12(2), 134-142. https://doi.org/10.1080/17538068.2019.1642050 DOI: https://doi.org/10.1080/17538068.2019.1642050

World Health Organization (2020). Managing the COVID-19 infodemic: Promoting healthy behaviours and mitigating the harm from misinformation and disinformation. Joint statement by WHO, UN, UNICEF, UNDP, UNESCO, UNAIDS, ITU, UN Global Pulse, and IFRC. https://www.who.int/news/item/23-09-2020-managing-the-COVID-19-infodemic-promoting-healthy-behaviours-and-mitigating-the-harm-from-misinformation-and-disinformation

World Health Organization (2021). Coronavirus disease (COVID-19): Post COVID-19 condition. https://www.who.int/news-room/questions-and-answers/item/coronavirus-disease-(COVID-19)-post-COVID-19-condition

Wu, L., Morstatter, F., Carley, K. M., & Liu, H. (2019). Misinformation in social media: definition, manipulation, and detection. ACM SIGKDD explorations newsletter, 21(2), 80-90. https://doi.org/10.1145/3373464.3373475 DOI: https://doi.org/10.1145/3373464.3373475

Yong, S. J. (2021). Long COVID or post-COVID-19 syndrome: putative pathophysiology, risk factors, and treatments. Infectious diseases, 53(10), 737-754. https://doi.org/10.1080/23744235.2021.1924397 DOI: https://doi.org/10.1080/23744235.2021.1924397

Zarcadoolas, C., Pleasant, A., & Greer, D. S. (2005). Understanding health literacy: an expanded model. Health promotion international, 20(2), 195-203. https://doi.org/10.1093/heapro/dah609 DOI: https://doi.org/10.1093/heapro/dah609

Zeal, C., Paul, R., Dorsey, M., Politi, M. C., & Madden, T. (2021). Young women's preferences for contraceptive education: The importance of the clinician in three US health centers in 2017-2018. Contraception, 104(5), 553-555. https://doi.org/10.1016/j.contraception.2021.06.005 DOI: https://doi.org/10.1016/j.contraception.2021.06.005

Zhao, Y., & Zhang, J. (2017). Consumer health information seeking in social media: a literature review. Health Information & Libraries Journal, 34(4), 268-283. https://doi.org/10.1111/hir.12192 DOI: https://doi.org/10.1111/hir.12192

Published

2025-02-25

How to Cite

García Carrizo, J., & Gertrudix, M. (2025). Citizen Science and Scientific Communication: What, When, Where and How to inform and Who should communicate about Long COVID. Revista De Comunicación Y Salud, 15, 1–30. https://doi.org/10.35669/rcys.2025.15.e364

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Research article

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