A pandemic is of paramount concern for global health security, and it is imperative to assess the long-term psychosocial impact of the COVID-19 pandemic to gain a comprehensive understanding of its implications. Monitoring the population’s mental health status can inform public health decision-makers of potential mental health deterioration on a national level, allowing them to recognize issues of substantive importance and design tailor-made interventions. Toward this end, the goal of this paper is to use Google Trends to track and compare pre-, during, and post-pandemic population-level mental health-related changes in Greece. The findings indicate a significant increase following the pandemic in searches related to “loneliness”, “anger”, and specific therapy methods and medications typically used for managing and treating anxiety, such as “psychologist”, “psychotherapy”, “meditation” and “anxiolytics”. A nearreal-time surveillance tool such as Google Trends has the potential to allow mental health experts to identify emerging mental health needs sooner and develop action plans for mental health promotion and prevention. Since discernible changes in mental health have yet to emerge at a population level, continued surveillance is required; Google Trends may prove to be a powerful data exploration and visualization infoveillance tool used as a complementary technique for “storytelling” regarding the “new” mental health pandemic.
References
[1]
Alibudbud, R. (2023). Google Trends for Health Research: Its Advantages, Application, Methodological Considerations, and Limitations in Psychiatric and Mental Health Infodemiology. Frontiers in Big Data, 6, Article ID: 1132764. https://doi.org/10.3389/fdata.2023.1132764
[2]
Baker, S. R., & Fradkin, A. (2017). The Impact of Unemployment Insurance on Job Search: Evidence from Google Search Data. The Review of Economics and Statistics, 99, 756-768. https://doi.org/10.1162/rest_a_00674
[3]
Barros, J. M., Melia, R., Francis, K., Bogue, J., O’Sullivan, M., Young, K. et al. (2019). The Validity of Google Trends Search Volumes for Behavioral Forecasting of National Suicide Rates in Ireland. International Journal of Environmental Research and Public Health, 16, Article No. 3201. https://doi.org/10.3390/ijerph16173201
[4]
Brodeur, A., Clark, A. E., Fleche, S., & Powdthavee, N. (2021). COVID-19, Lockdowns and Well-Being: Evidence from Google Trends. Journal of Public Economics, 193, Article ID: 104346. https://doi.org/10.1016/j.jpubeco.2020.104346
[5]
Diener, E., Suh, E. M., Lucas, R. E., & Smith, H. L. (1999). Subjective Well-Being: Three Decades of Progress. Psychological Bulletin, 125, 276-302. https://doi.org/10.1037/0033-2909.125.2.276
[6]
Eichenauer, V. Z., Indergand, R., Martínez, I. Z., & Sax, C. (2022). Obtaining Consistent Time Series from Google Trends. Economic Inquiry, 60, 694-705. https://doi.org/10.1111/ecin.13049
[7]
Eysenbach, G. (2009). Infodemiology and Infoveillance: Framework for an Emerging Set of Public Health Informatics Methods to Analyze Search, Communication and Publication Behavior on the Internet. Journal of Medical Internet Research, 11, e11. https://doi.org/10.2196/jmir.1157
[8]
Fountoulakis, K. N., Apostolidou, M. K., Atsiova, M. B., Filippidou, A. K., Florou, A. K., Gousiou, D. S. et al. (2021). Self-Reported Changes in Anxiety, Depression and Suicidality during the COVID-19 Lockdown in Greece. Journal of Affective Disorders, 279, 624-629. https://doi.org/10.1016/j.jad.2020.10.061
[9]
García-Pérez, M. A. (2023). Use and Misuse of Corrections for Multiple Testing. Methods in Psychology, 8, Article ID: 100120. https://doi.org/10.1016/j.metip.2023.100120
[10]
Gkintoni, E., Koutsopoulou, I., Antonopoulou, H., & Christopoulos, P. (2021). Consequences of the COVID-19 Pandemic on Greek Students’ Mental Health: Quality of Life and Trauma Stressful Events Correlation. In ICERI Proceedings (pp. 2615-2621). IATED. https://doi.org/10.21125/iceri.2021.0663
[11]
Hoerger, M., Alonzi, S., Perry, L. M., Voss, H. M., Easwar, S., & Gerhart, J. I. (2020). Impact of the COVID-19 Pandemic on Mental Health: Real-Time Surveillance Using Google Trends. Psychological Trauma: Theory, Research, Practice, and Policy, 12, 567-568. https://doi.org/10.1037/tra0000872
[12]
Kalaitzaki, A.E., Tsouvelas, G., Tamiolaki, A., & Konstantakopoulos, G. (2022). Post‐Traumatic Stress Symptoms during the First and Second COVID‐19 Lockdown in Greece: Rates, Risk, and Protective Factors. International Journal of Mental Health Nursing, 31, 153-166. https://doi.org/10.1111/inm.12945
[13]
Karaivazoglou, K., Konstantopoulou, G., Kalogeropoulou, M., Iliou, T., Vorvolakos, T., Assimakopoulos, K. et al. (2021). Psychological Distress in the Greek General Population during the First COVID-19 Lockdown. BJPsych Open, 7, e59. https://doi.org/10.1192/bjo.2021.17
[14]
Knipe, D., Evans, H., Sinyor, M., Niederkrotenthaler, T., Gunnell, D., & John, A. (2020). Tracking Online Searches for Emotional Wellbeing Concerns and Coping Strategies in the UK during the COVID-19 Pandemic: A Google Trends Analysis. Wellcome Open Research, 5, 220. https://doi.org/10.12688/wellcomeopenres.16147.1
[15]
Knipe, D., Gunnell, D., Evans, H., John, A., & Fancourt, D. (2021). Is Google Trends a Useful Tool for Tracking Mental and Social Distress during a Public Health Emergency? A Time-Series Analysis. Journal of Affective Disorders, 294, 737-744. https://doi.org/10.1016/j.jad.2021.06.086
[16]
Louvardi, M., Pelekasis, P., Chrousos, G. P., & Darviri, C. (2020). Mental Health in Chronic Disease Patients during the COVID-19 Quarantine in Greece. Palliative and Supportive Care, 18, 394-399. https://doi.org/10.1017/s1478951520000528
[17]
Magklara, K., Lazaratou, H., Barbouni, A., Poulas, K., & Farsalinos, K. (2023). The Impact Ofcovid‐19 Lockdown on Children’s and Adolescents’ Mental Health in Greece. Children & Society, 37, 469-484. https://doi.org/10.1111/chso.12605
[18]
Marty, R., Ramos-Maqueda, M., Khan, N., & Reichert, A. (2023). The Evolution of the COVID-19 Pandemic through the Lens of Google Searches. Scientific Reports, 13, Article No. 19843. https://doi.org/10.1038/s41598-023-41675-4
[19]
Mavragani, A. (2020). Infodemiology and Infoveillance: Scoping Review. Journal of Medical Internet Research, 22, e16206. https://doi.org/10.2196/16206
[20]
Nuti, S. V., Wayda, B., Ranasinghe, I., Wang, S., Dreyer, R. P., Chen, S. I. et al. (2014). The Use of Google Trends in Health Care Research: A Systematic Review. PLOS ONE, 9, e109583. https://doi.org/10.1371/journal.pone.0109583
[21]
Parlapani, E., Holeva, V., Voitsidis, P., Blekas, A., Gliatas, I., Porfyri, G. N. et al. (2020). Psychological and Behavioral Responses to the COVID-19 Pandemic in Greece. Frontiers in Psychiatry, 11, Article No. 821. https://doi.org/10.3389/fpsyt.2020.00821
[22]
Patsali, M. E., Mousa, D. V., Papadopoulou, E. V. K., Papadopoulou, K. K. K., Kaparounaki, C. K., Diakogiannis, I. et al. (2020). University Students’ Changes in Mental Health Status and Determinants of Behavior during the COVID-19 Lockdown in Greece. Psychiatry Research, 292, Article ID: 113298. https://doi.org/10.1016/j.psychres.2020.113298
[23]
Pedersen, M. T., Andersen, T. O., Clotworthy, A., Jensen, A. K., Strandberg-Larsen, K., Rod, N. H. et al. (2022). Time Trends in Mental Health Indicators during the Initial 16 Months of the COVID-19 Pandemic in Denmark. BMC Psychiatry, 22, Article No. 25. https://doi.org/10.1186/s12888-021-03655-8
[24]
Rovetta, A. (2021). Reliability of Google Trends: Analysis of the Limits and Potential of Web Infoveillance during COVID-19 Pandemic and for Future Research. Frontiers in Research Metrics and Analytics, 6, Article ID: 670226. https://doi.org/10.3389/frma.2021.670226
[25]
Springer, S., Zieger, M., & Strzelecki, A. (2021). The Rise of Infodemiology and Infoveillance during COVID-19 Crisis. One Health, 13, Article ID: 100288. https://doi.org/10.1016/j.onehlt.2021.100288
[26]
Stylianou, T., & Ntelas, K. (2023). Impact of COVID-19 Pandemic on Mental Health and Socioeconomic Aspects in Greece. International Journal of Environmental Research and Public Health, 20, Article No. 1843. https://doi.org/10.3390/ijerph20031843
[27]
Sycińska-Dziarnowska, M., Szyszka-Sommerfeld, L., Kłoda, K., Simeone, M., Woźniak, K., & Spagnuolo, G. (2021). Mental Health Interest and Its Prediction during the COVID-19 Pandemic Using Google Trends. International Journal of Environmental Research and Public Health, 18, Article No. 12369. https://doi.org/10.3390/ijerph182312369
[28]
Tsouros, I., Tsirimpa, A., Pagoni, I., & Polydoropoulou, A. (2021). Activities, Time-Use and Mental Health during the First COVID-19 Pandemic Wave: Insight from Greece. Transportation Research Interdisciplinary Perspectives, 11, Article ID: 100442. https://doi.org/10.1016/j.trip.2021.100442
[29]
Tzekou, P., Stamou, S., Zotos, N., & Kozanidis, L. (2007). Querying the Greek Web in Greeklish. In F. Lazarinis, J. Vilares, & J. I. Tait, (Eds.), Proceedings of ACM SIGIR 2007 Workshop on Improving Non-English Web Searching (iNEWS’07) (pp. 29-38). ACM Inc.
[30]
Vatavali, F., Gareiou, Z., Kehagia, F., & Zervas, E. (2020). Impact of COVID-19 on Urban Everyday Life in Greece. Perceptions, Experiences and Practices of the Active Population. Sustainability, 12, Article No. 9410. https://doi.org/10.3390/su12229410
[31]
Voitsidis, P., Gliatas, I., Bairachtari, V., Papadopoulou, K., Papageorgiou, G., Parlapani, E. et al. (2020). Insomnia during the COVID-19 Pandemic in a Greek Population. Psychiatry Research, 289, Article ID: 113076. https://doi.org/10.1016/j.psychres.2020.113076
[32]
World Health Organization (2022a). Mental Disorders. https://www.who.int/news-room/fact-sheets/detail/mental-disorders
[33]
World Health Organization (2022b). Mental Health and COVID-19: Early Evidenceof the Pandemic’s Impact, Scientific Brief. https://www.who.int/publications/i/item/WHO-2019-nCoV-Sci_Brief-Mental_health-2022.1
[34]
Xiong, J., Lipsitz, O., Nasri, F., Lui, L. M. W., Gill, H., Phan, L. et al. (2020). Impact of COVID-19 Pandemic on Mental Health in the General Population: A Systematic Review. Journal of Affective Disorders, 277, 55-64. https://doi.org/10.1016/j.jad.2020.08.001
[35]
Zhao, X., Coxe, S. J., Timmons, A. C., & Frazier, S. L. (2022). Mental Health Information Seeking Online: A Google Trends Analysis of ADHD. Administration and Policy in Mental Health and Mental Health Services Research, 49, 357-373. https://doi.org/10.1007/s10488-021-01168-w
