Crisis of credibility: A systematic review on the influence of rumors spread through multimedia on public health during the SARS-CoV-2 epidemic

R. S. Anila; Geetika M. Patel; Nayana Borah; Pooja Sindwani

doi:10.31893/multirev.2023ss005

Keywords:

Abstract

The SARS-CoV-2 pandemic, which started in late 2019, presented a serious public health threat as well as a crisis of confidence due to the speed at which rumors propagated across several communication platforms. As a consequence of this rumors, individuals are more likely to take steps that accelerate the spread of the virus and have negative effects on their physical and mental health. It has been suggested that these beliefs are to blame for a number of tragedies that have occurred across the globe. This systematic review looks at the manner in which the SARS-CoV-2 pandemic affected public health as a result of rumors spread over the internet and other media. The study incorporates qualitative as well as statistical results into its analysis of the current literature to present a complete data of the topic. The greatest way to tackle this difficulty is to provide primary care providers with the most current results from relevant studies and reliable data. Strategic alliances should be formed between the media, healthcare facilities, community-based organizations along with other key players and shared platforms should be established to disseminate genuine public health messaging. This research highlights the devastating effects of rumor dissemination on population health. The crisis of credibility has to be addressed during public health crises for accurate and evidence-based information to be disseminated.
References
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26. Narayan K V, Curran J W, & Foege W H (2021) The COVID-19 pandemic as an opportunity to ensure a more successful future for science and public health. JAMA, 325(6), 525-526. Doi:10.1001/jama.2020.23479
27. Okan O, Messer M, Levin-Zamir D, Paakkari L, & Sørensen K (2023). Health literacy as a social vaccine in the COVID-19 pandemic. Health Promotion International, 38(4), daab197. Doi: 10.1093/heapro/daab197
28. Okeya-Olayinka A O, & Ogundele R A (2022). Assessment Of Knowledge, Attitude And Perceived Anxiety Towards Covid-19 Pandemic In Oyo West Local Government, Oyo State, Nigeria. ACU Journal of Social and Management Sciences, 3(1). Doi :10.1448/s41598-021-05215-3
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40. Zimmerling A, & Chen X (2021). Innovation and possible long-term impact driven by COVID-19: Manufacturing, personal protective equipment and digital technologies. Technology in Society, 65, 101541. Doi: 10.1016/j.techsoc.2021.101541.

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

How to cite

Anila, R. S., Patel, G. M., Borah, N., & Sindwani, P. (2024). Crisis of credibility: A systematic review on the influence of rumors spread through multimedia on public health during the SARS-CoV-2 epidemic. Multidisciplinary Reviews, 6, 2023ss005. https://doi.org/10.31893/multirev.2023ss005

[1] Abbasi S A, Khalil A B, & Arslan M (2020). Extensive use of face masks during COVID-19 pandemic:(micro) plastic pollution and potential health concerns in the Arabian Peninsula. Saudi journal of biological sciences, 27(12), 3181-3186. Doi:10.1016/j.sjbs.2020.09.054

[2] Alam, F, Almaghthawi A Katib I, Albeshri A, & Mehmood R (2021) IResponse: An AI and IoT-enabled framework for autonomous COVID-19 pandemic management. Sustainability, 13(7), 3797. Doi:10.3390/su13073797

[3] Anwar A, Malik M, Raees V, & Anwar A (2020) Role of mass media and public health communications in the COVID-19 pandemic. Cureus, 12(9). Doi: 10.7759/cureus.10453. Doi:10.4190/su13078997

[4] Badawy A, Gharawi M A, Bidin, A, & Khamis, M (2020) Role of ministerial media arms during COVID-19 in Malaysia. Al-Hikmah: International Journal Of Islamic Studies And Human Sciences, 3(4), 257-270. Doi: 10.46722/hikmah.v3i4.79

[5] Balarabe U B & Kumar R (2020) Perspectives and Impacts of Social Media Fake News and Misinformation Narratives about Coronavirus (Covid-19) In India. Journal of Humanities And Social Science, 25(7). DOI: 10.9790/0837-2507086266

[6] Banko, O H (2020). The politics of SARS-CoV-2 (COVID-19) pandemic and conspiracy theories: the implications for travesty of scientific logic. Afr J Pol Adm Stud, 13(1). DOI: 10.2790/0737-25856086278

[7] Bass, S B, Wilson-Genderson, M Garcia, D T, Akinkugbe A A, & Mosavel M (2021). SARS-CoV-2 vaccine hesitancy in a sample of US adults: Role of perceived satisfaction with health, access to healthcare, and attention to COVID-19 news. Frontiers in Public Health, 9, 665724. Doi:10.3389/fpubh.2021.665724

[8] Bernardino M, & BacelarNicolau L (2020). The importance of reliable social media information during the COVID-19 pandemic. European Journal of Public Health, 30(Supplement_5), ckaa165-067. Doi:10.1448/s41564-021-02255-3

[9] Bisanzio D, Kraemer MU, Brewer T, Brownstein J S, & Reithinger R (2020) Geolocated Twitter social media data to describe the geographic spread of SARS-CoV-2. Journal of Travel Medicine, 27(5), taaa120. Doi: 10.1093/jtm/taaa120

[10] Butler M, Coebergh J, Safavi F, Carson A, Hallett M, Michael B, & Coronerve Studies Group (2021). Functional neurological disorder after SARS-CoV-2 vaccines: two case reports and discussion of potential public health implications. The Journal of neuropsychiatry and clinical neurosciences, 33(4), 345-348. 10.1176/appi.neuropsych.21050116

[11] Cavicchioli M, Ferrucci R, Guidetti M, Canevini M P, Pravettoni G, & Galli F (2021, January). What will be the impact of the Covid-19 quarantine on psychological distress? Considerations based on a systematic review of pandemic outbreaks. In Healthcare (Vol. 9, No. 1, p. 101). MDPI. Doi: 10.3390/healthcare9010101

[12] Choi H, Cho W, Kim M H, & Hur JY (2020). Public health emergency and crisis management: case study of SARS-CoV-2 outbreak. International journal of environmental research and public health, 17(11), 3984. Doi: 10.3390/ijerph17113984

[13] Cowley LA, Afrad MH, Rahman SIA, Mamun M M A, Chin T, Mahmud A, & Shirin T (2021). Genomics, social media and mobile phone data enable mapping of SARS-CoV-2 lineages to inform health policy in Bangladesh. Nature microbiology, 6(10), 1271-1278. Doi :10.1038/s41564-021-00955-3

[14] Dang H L (2021) Social media, fake news, and the COVID-19 pandemic: Sketching the case of Southeast Asia. Advances in Southeast Asian Studies, 14(1), 37-58. Doi: 10.14764/10.ASEAS-0054

[15] Daud M, & Zulhuda S (2020). Regulating The Spread Of False Content Online In Malaysia: Issues, Challenges And The Way Forward. International Journal of Business & Society, 21.Doi: 10.59564/10.ASEAS-1154

[16] De Gennaro M, Krumhuber E G, & Lucas G (2020). Effectiveness of an empathic chatbot in combating adverse effects of social exclusion on mood. Frontiers in psychology, 10, 3061. Doi: 10.3389/fpsyg.2019.03061

[17] Debnath R, & Bardhan R (2020). India nudges to contain COVID-19 pandemic: A reactive public policy analysis using machine-learning based topic modelling. PloS one, 15(9), e0238972. Doi: 10.1371/journal.pone.0238972

[18] Huu D N (2023). Coordination Method Of Means Of Ideological Work In The Fight Against Covid-19 Pandemic In Vietnam. Santiago, (161), 33-48. Doi:10.4138/s41984-021-00545-3

[19] Ineji P U &Ineji B U (2020) Flattening The Curve Of Coronavirus (Covid-19) Using Communication Approaches. International Journal of Communication Research, 10(4), 408-418. Doi :10.1448/s41564-021-05785-3

[20] Islam M S, Sarkar T, Khan S H, Kamal A. H. M., Hasan S. M., Kabir A & Seale, H. (2020). COVID-19–related infodemic and its impact on public health: A global social media analysis. The American journal of tropical medicine and hygiene, 103(4), 1621. Doi:10.4269%2Fajtmh.20-0812

[21] Kathiravan K, Vidyasakar A, Pradeep C, Natesan U, Kumar K A, Bharathi V A, & Prakash S A (2023). Chorographic assessment on the overburden of single-use plastics bio-medical wastes risks and management during COVID-19 pandemic in India. Total Environment Research Themes, 7, 100062. Doi: 10.1016/j.totert.2023.100062

[22] Liu P L (2020) COVID-19 information seeking on digital media and preventive behaviors: The mediation role of worry. Cyberpsychology, Behavior, and Social Networking, 23(10), pp.677-682. Doi: 10.1089/cyber.2020.0250

[23] Monti F, Frasca F, Eynard D, Mannion D, & Bronstein M M (2019). Fake news detection on social media using geometric deep learning. arXiv preprint arXiv:1902.06673. Doi:10.48550/arXiv.1902.06673

[24] Mulugeta T, Tadesse E, Shegute T, & Desta T T (2021). COVID-19: socio-economic impacts and challenges in the working group. Heliyon, 7(6). Doi: 10.1016/j.heliyon.2021.e07307

[25] Musa I Z, Sabo S A, Verma A K, & Barik M (2020) Impact of Media and Protocol on SARS-CoV-2: Statistical Analysis. Acta Scientific Pharmaceutical Sciences (ISSN: 2581-5423), 4(9). DOI: 10.5516/j.sjbs.2014.09.0582

[26] Narayan K V, Curran J W, & Foege W H (2021) The COVID-19 pandemic as an opportunity to ensure a more successful future for science and public health. JAMA, 325(6), 525-526. Doi:10.1001/jama.2020.23479

[27] Okan O, Messer M, Levin-Zamir D, Paakkari L, & Sørensen K (2023). Health literacy as a social vaccine in the COVID-19 pandemic. Health Promotion International, 38(4), daab197. Doi: 10.1093/heapro/daab197

[28] Okeya-Olayinka A O, & Ogundele R A (2022). Assessment Of Knowledge, Attitude And Perceived Anxiety Towards Covid-19 Pandemic In Oyo West Local Government, Oyo State, Nigeria. ACU Journal of Social and Management Sciences, 3(1). Doi :10.1448/s41598-021-05215-3

[29] OMOWALE A, & OYEDEJI K A (2020) COVID-19 Pandemic and Audience Perception of News Dissemination Credibility in Abeokuta Metropolis. NTAtvc Journal of Communication, 4(2), 13-23. Doi:10.1448/s44364-021-05615-3

[30] Oude Munnink B B, Nieuwenhuijse D F, Stein M, O’Toole Á, Haverkate M, Mollers M, & Koopmans M (2020). Rapid SARS-CoV-2 whole-genome sequencing and analysis for informed public health decision-making in the Netherlands. Nature medicine, 26(9), 1405-1410. Doi: 10.1038/s41591-020-1128-5

[31] Pham P, Pedrycz W, & Vo B (2022) Dual attention-based sequential auto-encoder for Covid-19 outbreak forecasting: A case study in Vietnam. Expert Systems with Applications, 203, 117514. Doi: 10.1016/j.eswa.2022.117514

[32] Pinkas J, Jankowski M, Szumowski Ł, Lusawa A, Zgliczyński W S, Raciborski F, & Gujski M (2020). Public health interventions to mitigate early spread of SARS-CoV-2 in Poland. Medical science monitor: international medical journal of experimental and clinical research, 26, e924730-1. Doi: 10.12659%2FMSM.924730

[33] Srivastava B (2021). Did Chatbots Miss Their'Apollo Moment'? A Survey of the Potential, Gaps and Lessons from Using Collaboration Assistants During COVID-19. arXiv preprint arXiv:2103.05561. Doi: 10.48550/arXiv.2103.05561

[34] Usman T, & Moosa S (2020). Risk communications in the early phase of the COVID-19 pandemic: the Maldives’ experience. Doi: 10.45850/arXiv.2103.05533

[35] Wang Y, Long Y, Wang F, Li C, & Liu W (2023). Characterization of SARS-CoV-2 recombinants and emerging Omicron sublineages. International journal of medical sciences, 20(1), 151. Doi: 10.7150%2Fijms.79116

[36] Wang Y, Zheng, K, Gao W, Lv J, Yu C, Wang L, & Li L (2022). Asymptomatic and pre-symptomatic infection in Coronavirus Disease 2019 pandemic. Medical Review, 2(1), 66-88. Doi:10.1515/mr-2021-0034

[37] Wechsler H (2023). Immunity and security using holism, ambient intelligence, triangulation, and stigmergy: Sensitivity analysis confronts fake news and COVID-19 using open set transduction. Journal of Ambient Intelligence and Humanized Computing, 14(4), 3057-3074. Doi:10.1162/106454699568700

[38] Woo J H (2021). Comparative Analysis of News Big Data related to SARS-CoV, MERS-CoV, and SARS-CoV-2 (COVID-19). Journal of the Korea Society of Computer and Information, 26(8), 91-101. Doi:10.9708/jksci.2021.26.08.091

[39] Yuan K, Huang X L, Yan, W, Zhang Y X, Gong Y M, Su S Z, & Lu L (2022). A systematic review and meta-analysis on the prevalence of stigma in infectious diseases, including COVID-19: a call to action. Molecular psychiatry, 27(1), 19-33. Doi: 10.1116/j.techsoc.2451.101241

[40] Zimmerling A, & Chen X (2021). Innovation and possible long-term impact driven by COVID-19: Manufacturing, personal protective equipment and digital technologies. Technology in Society, 65, 101541. Doi: 10.1016/j.techsoc.2021.101541.

Abstract

References

How to cite