A Systematic Review of Infodemic Effects on Mental Health in the COVID-19 Crisis
Infodemic Effects on Mental Health in the COVID-19 Crisis
Abstract
Abstract
Context: Infodemic in the COVID-19 pandemic is referred to as too much information about this disease that spreads quickly. This information can cause various psychological consequences for people. This systematic review studied the effect of the infodemic on individuals’ mental health in the COVID-19 pandemic.
Methods: The principles of PRISMA were used to conduct this systematic review. Data were selected using a search strategy in the WOS, PubMed, and Scopus databases on December 31, 2021. The inclusion criteria comprised English-language original articles relevant to the study’s purpose. We excluded all short articles, letters to the editor, conference abstracts, review articles, and any articles unavailable in their full texts.
Results: Finally, 17 articles were selected. The results showed that the population of these articles was from China, Singapore, Palestine, Romania, Indonesia, Paraguay, Hong Kong, and Iran. These articles also included health professionals and medical staff (two studies), adults (three studies), citizens and the general public aged 16 or over (eight studies), students (one study), teachers (one study), and the elderly (two studies). The sample sizes varied from 126 to 5,203. Also, these articles examined mental health concerning anxiety (13 studies),
depression (eight studies), stress (four studies), sleep disorders (two studies), emotions (two studies), panic, social isolation, and mental health in general.
Conclusions: People more subjected to COVID-19-related information are more prone to psychological consequences and more exposed to anxiety, depression, and stress.
References
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1. Kouzy R, Abi Jaoude J, Kraitem A, El Alam MB, Karam B, Adib E, et al. Coronavirus goes viral: quantifying the COVID-19 misinformation epidemic on Twitter. Cureus. 2020;12 (3).
2. Alamoodi AH, Zaidan BB, Zaidan AA, Albahri OS, Mohammed KI, Malik RQ, Almahdi EM, Chyad MA, Tareq Z, Albahri AS, Hameed H. Sentiment analysis and its applications in fighting COVID-19 and infectious diseases: A systematic review. Expert systems with applications. 2021;167:114155.
3. Zarocostas J. How to fight an infodemic. Lancet. 2020;395(10225):676.
4. Orso D, Federici N, Copetti R, Vetrugno L, Bove T. Infodemic and the spread of fake news in the COVID-19-era. Eur J Emerg Med. 2020.
5. Okan O, Bollweg TM, Berens E-M, Hurrelmann K, Bauer U, Schaeffer D. Coronavirus-related health literacy: A cross-sectional study in adults during the COVID-19 infodemic in Germany. Int J Environ. 2020;17(15):5503.
6. Cheng C, Ebrahimi OV, Lau Y-c. Maladaptive coping with the infodemic and sleep disturbance in the COVID-19 pandemic. J Sleep Res. 2021;30(4):e13235.
7. Eysenbach G. How to fight an infodemic: the four pillars of infodemic management. J Med Internet Res. 2020;22(6):e21820.
8. Eysenbach G. Infodemiology: The epidemiology of (mis) information. Am J Med. 2002;113(9):763-5.
9. Safarnejad L, Xu Q, Ge Y, Bagavathi A, Krishnan S, Chen S. Identifying Influential Factors in the Discussion Dynamics of Emerging Health Issues on Social Media: Computational Study. JMIR Public Health Surveill. 2020;6(3):e17175.
10. Chew C, Eysenbach G. Pandemics in the age of Twitter: content analysis of Tweets during the 2009 H1N1 outbreak. PloS one. 2010;5(11):e14118.
11. Heyerdahl LW, Lana B, Giles-Vernick T. The Impact of the Online COVID-19 Infodemic on French Red Cross Actors' Field Engagement and Protective Behaviors: Mixed Methods Study. JMIR infodemiology. 2021;1(1):e27472.
12. Panuganti BA, Jafari A, MacDonald B, DeConde AS. Predicting COVID-19 Incidence Using Anosmia and Other COVID-19 Symptomatology: Preliminary Analysis Using Google and Twitter. Otolaryngol Head Neck Surg. 2020.
13. Yum S. Social network analysis for coronavirus (COVID‐19) in the United States. Soc Sci Q. 2020;101(4):1642-7.
14. Aguilar-Gallegos N, Romero-García LE, Martínez-González EG, García-Sánchez EI, Aguilar-Ávila J. Dataset on dynamics of Coronavirus on Twitter. Data brief. 2020 ;30:105684.
15. Tran BX, Dang AK, Thai PK, Le HT, Le XT, Do TT, Nguyen TH, Pham HQ, Phan HT, Vu GT, Phung DT. Coverage of health information by different sources in communities: implication for COVID-19 epidemic response. International journal of environmental research and public health. 2020;17(10):3577.
16. Le HT, Nguyen DN, Beydoun AS, Le XT, Nguyen TT, Pham QT, Ta NT, Nguyen QT, Nguyen AN, Hoang MT, Vu LG. Demand for health information on COVID-19 among Vietnamese. International journal of environmental research and public health. 2020;17(12):4377.
17. Ankamah S, Amegashie P, Yeboah F, Amofah-Serwaa N. Health Information Seeking Behaviour among Users in the College of Health Sciences Library, the University of Ghana amid the COVID-19 pandemic. Library Philosophy and Practice. 2021:1-20.
18. Jalilian M, Kakaei H, Nourmoradi H, Bakhtiyari S, Mazloomi S, Mirzaei A. Health Information Seeking Behaviors Related to COVID-19 Among Young People: An Online Survey. Int J High Risk Behav Addict. 2021;10(1).
19. Lund BD, Maurya SK. How older adults in the USA and India seek information during the COVID-19 pandemic: A comparative study of information behavior. IFLA Journal. 2021:03400352211024675.
20. Tang Z, Zhang L, Xu F, Vo H. Examining the role of social media in California's drought risk management in 2014. Nat Hazards. 2015;79(1):171-93.
21. Bratu S. The fake news sociology of COVID-19 pandemic fear: Dangerously inaccurate beliefs, emotional contagion, and conspiracy ideation. Linguistic and Philosophical Investigations. 2020(19):128-34.
22. Eghtesadi M, Florea A. Facebook, Instagram, Reddit and TikTok: a proposal for health authorities to integrate popular social media platforms in contingency planning amid a global pandemic outbreak. Canadian Journal of Public Health. 2020;111:389-91.
23. Seyf H, Seyf A, Borojerdi M. Fake news and the Corona crisis Emphasis on the views of experts in crisis communication. New Media Soc. 2020;6: (22).
24. Ahmed W, Vidal-Alaball J, Downing J, Seguí FL. COVID-19 and the 5G conspiracy theory: social network analysis of Twitter data. Journal of Medical Internet Research. 2020;22(5):e19458.
25. Johnson NF, Velásquez N, Restrepo NJ, Leahy R, Gabriel N, El Oud S, et al. The online competition between pro-and anti-vaccination views. Nature. 2020;582(7811):230-3.
26. Sharov KS. Adaptation to SARS‐CoV‐2 under stress: Role of distorted information. Eur J Clin Invest. 2020;50(9):e13294.
27. Motta Zanin G, Gentile E, Parisi A, Spasiano D. A preliminary evaluation of the public risk perception related to the COVID-19 health emergency in Italy. Int J Environ Res. 2020;17(9):3024.
28. Wang C, Chudzicka-Czupała A, Tee ML, Núñez María IL, Tripp C, Fardin MA, et al. A chain mediation model on COVID-19 symptoms and mental health outcomes in Americans, Asians and Europeans. Scientific Reports. 2021;11(1):6481.
29. Page MJ, McKenzie JE, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD, et al. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. Bmj. 2021;372.
30. Knottnerus A, Tugwell P. Strobe—A Checklist To Strengthen The Reporting Of Observational Studies In Epidemiology. Journal Of Clinical Epidemiology. 2008;61(4):323.
31. Al-Amad SH, Hussein A. Anxiety among dental professionals and its association with their dependency on social media for health information: insights from the COVID-19 pandemic. BMC Psychol. 2021;9(1):9.
32. Cheng C, Ebrahimi OV, Lau YC. Maladaptive coping with the infodemic and sleep disturbance in the COVID-19 pandemic. J Sleep Res. 2021;30(4):e13235.
33. De Coninck D, Frissen T, Matthijs K, d’Haenens L, Lits G, Champagne-Poirier O, Carignan ME, David MD, Pignard-Cheynel N, Salerno S, Généreux M. Beliefs in conspiracy theories and misinformation about COVID-19: Comparative perspectives on the role of anxiety, depression and exposure to and trust in information sources. Front Psychol. 2021;12.
34. Gao J, Zheng P, Jia Y, Chen H, Mao Y, Chen S, Wang Y, Fu H, Dai J. Mental health problems and social media exposure during COVID-19 outbreak. PloS one. 2020; 16;15(4):e0231924.
35. Guo N, Zhao SZ, Weng X, Wu Y, Luk TT, Wong JYH, et al. Associations of COVID-19 online information sources and information overload with psychological distress symptoms: a population-based study. Transl Behav Med. 2021;11(7):1330-8.
36. Hammad MA, Alqarni TM. Psychosocial effects of social media on the Saudi society during the Coronavirus Disease 2019 pandemic: A cross-sectional study. PloS one. 2021;16(3):e0248811.
37. Hossain MT, Ahammed B, Chanda SK, Jahan N, Ela MZ, Islam MN. Social and electronic media exposure and generalized anxiety disorder among people during COVID-19 outbreak in Bangladesh: A preliminary observation. PloS one. 2020;15(9):e0238974.
38. Jain P. The COVID-19 pandemic and positive psychology: The role of news and trust in news on mental health and well-being. J Health Commun. 2021; 26(5):317-27.
39. Khan AN. A diary study of psychological effects of misinformation and COVID-19 Threat on work engagement of working from home employees. Technol Forecast Soc Change. 2021;171.
40. Liu JCJ, Tong EMW. The Relation Between Official WhatsApp-Distributed COVID-19 News Exposure and Psychological Symptoms: Cross-Sectional Survey Study. Journal of Medical Internet Research. 2020;22(9):e22142.
41. Radwan E, Radwan A, Radwan W. The role of social media in spreading panic among primary and secondary school students during the COVID-19 pandemic: An online questionnaire study from the Gaza Strip, Palestine. Heliyon. 2020;6(12):e05807.
42. Secosan I, Virga D, Crainiceanu ZP, Bratu LM, Bratu T. Infodemia: Another Enemy for Romanian Frontline Healthcare Workers to Fight during the COVID-19 Outbreak. Medicina (Kaunas). 2020;56:(12).
43. Syakurah RA, Linardi V, Bonita I. Covid-19 infodemic and indonesian emotional and mental health state. Int J Public Health. 2021:927-33.
44. Torales J, Barrios I, O'Higgins M, Almirón-Santacruz J, Gonzalez-Urbieta I, García O, Rios-González C, Castaldelli-Maia JM, Ventriglio A. COVID-19 infodemic and depressive symptoms: The impact of the exposure to news about COVID-19 on the general Paraguayan population. J Affect Disord. 2022 ;298:599-603.
45. Wong FH, Liu T, Leung DK, Zhang AY, Au WS, Kwok WW, Shum AK, Wong GH, Lum TY. Consuming information related to COVID-19 on social media among older adults and its association with anxiety, social trust in information, and COVID-safe behaviors: Cross-sectional telephone survey. Journal of Medical Internet Research. 2021;23(2):e26570.
46. Xu J, Liu C. Infodemic vs. Pandemic Factors Associated to Public Anxiety in the Early Stage of the COVID-19 Outbreak: A Cross-Sectional Study in China. Public Health Front. 2021;9:723648.
47. Negarestani M, Rashedi V, Mohamadzadeh M. Psychological Effect of Media Use on Mental Health of Older Adults during the COVID-19 Pandemic. Iran J Ageing. 2021 ;16(1):85-74.
48. Chaturvedi SK. Covid-19, coronavirus and mental health rehabilitation at times of crisis. Int J Psychosoc Rehabilitation. 2020;7(1):1-2.
49. Drouin M, McDaniel BT, Pater J, Toscos T. How parents and their children used social media and technology at the beginning of the COVID-19 pandemic and associations with anxiety. Cyberpsychol Behav Soc Netw. 2020;23(11):727-36.
50. Vannucci A, Flannery KM, Ohannessian CM. Social media use and anxiety in emerging adults. J Affect Disord. 2017;207:163-6.
51. Thorisdottir IE, Sigurvinsdottir R, Asgeirsdottir BB, Allegrante JP, Sigfusdottir ID. Active and passive social media use and symptoms of anxiety and depressed mood among Icelandic adolescents. Cyberpsychol Behav Soc Netw. 2019;22(8):535-42.
52. Naeem SB, Bhatti R. The COVID‐19' infodemic': a new front for information professionals. Health Info Libr J. 2020;37(3):233-9.
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| Files | ||
| Issue | Vol 6, No 4 (2022) | |
| Section | Review Article | |
| DOI | https://doi.org/10.18502/htaa.v6i4.12818 | |
| Keywords | ||
| COVID-19 Infodemic Information Media Mental Health | ||
| Rights and permissions | |
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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |
How to Cite
1.
Dastani M, Atarodi A. A Systematic Review of Infodemic Effects on Mental Health in the COVID-19 Crisis. Health Tech Ass Act. 2023;6(4).
