Investigating the Role of the Covid-19 Epidemic on Iranians’ Queries for Health Information on the Internet during Six Outbreaks of the Disease from February 2020 to April 2022

Document Type : Research Paper

Authors

1 1. Department of Psychology, Faculty of psychology and Educational Science, University of Tehran, Tehran, Iran.

2 Department of Psychology, Faculty of Psychology and Educational Science, University of Tehran, Tehran. Iran.

3 Department of Machine Intelligence and Robotics, Faculty of Electrical and Computer Engineering, University of Tehran, Tehran, Iran

4 Department of Psychology, Faculty of Psychology and Educational Science , University of Tehran, Tehran, Iran.

5 Department of Machine Intelligence and Robotics, Faculty of Electrical and Computer Engineering, University of Tehran, Tehran, Iran.

Abstract

The objective of this research was to investigate the information search behavior of Iranians on the Internet during the COVID-19 pandemic and to examine the relationship between the peak of the disease and the searches performed on the Internet. The purpose of this research was fundamental, and the research method was descriptive. The statistical population is the searches performed by Iranians from February 2020 to April 2022, and the investigated sample was the searched concepts related to anxiety and mental health. The first part of the data consisted of the queries that were extracted from the Google Trends website in December 2022. The second part, which consisted of the daily statistics of death and new infections, was obtained from the Johns Hopkins University website. Python version 3.12 was employed to conduct data analysis, which included the Granger causality test and Pearson correlation. The results indicate that the search for anxiety-related concepts has increased at the beginning of the epidemic. The quantity of searches for anxiety concepts at the beginning of the epidemic is positively and significantly correlated with the number of deaths caused by the disease. Consequently, the quantity of anxiety searches should increase over a period of a few days as the number of deaths increases. These searches diminished as the number of deaths decreased; however, the trend of anxiety searches ceased to be correlated with the number of deaths after a few months. The search for psychological treatment was modest at the onset of the epidemic; however, it increased after nine months, and the number of deaths also increased, prompting an increase in these searches. The results show that internet inquiries can be a useful tool for monitoring community concerns.

Keywords


Ayers, J. W., Leas, E. C., Johnson, D. C., Poliak, A., Althouse, B. M., Dredze, M., & Nobles, A. L. (2020). Internet Searches for Acute Anxiety During the Early Stages of the COVID-19 Pandemic. JAMA Internal Medicine180(12), 1706–1707. https://doi.org/10.1001/jamainternmed.2020.3305
Banerjee D. (2020). 'Age and ageism in COVID-19': Elderly mental health-care vulnerabilities and needs. Asian Journal of Psychiatry51, 102–154. https://doi.org/10.1016/j.ajp.2020.102154
Bell, C. A., Crabtree, S. A., Hall, E. L., & Sandage, S. J. (2021). Research in counselling and psychotherapy Post-COVID-19. Counselling and Psychotherapy Research21(1), 3–7. https://doi.org/10.1002/capr.12334
Cansel, N., Ucuz, İ., Arslan, A. K., Kayhan Tetik, B., Colak, C., Melez, Ş. N. İ., ... & Semra Demir Akca, A. (2021). Prevalence and predictors of psychological response during immediate COVID-19 pandemic. International Journal of Clinical Practice75(5), 1–13. https://doi.org/10.1111/ijcp.13996
Daly, M., & Robinson, E. (2021). Psychological distress and adaptation to the COVID-19 crisis in the United States. Journal of Psychiatric Research136, 603–609. https://doi.org/10.1016/j.jpsychires.2020.10.035
de la Rosa, P. A., Cowden, R. G., de Filippis, R., Jerotic, S., Nahidi, M., Ori, D., ... & Ramalho, R. (2022). Associations of lockdown stringency and duration with Google searches for mental health terms during the COVID-19 pandemic: A nine-country study. Journal of psychiatric research, 150, 237–245. https://doi.org/10.1016/j.jpsychires.2022.03.026
Delpino, F. M., da Silva, C. N., Jerônimo, J. S., Mulling, E. S., da Cunha, L. L., Weymar, M. K., ... & Feter, N. (2022). Prevalence of anxiety during the COVID-19 pandemic: A systematic review and meta-analysis of over 2 million people. Journal of Affective Disorders318, 272–282. https://doi.org/10.1016/j.jad.2022.09.003
Du, H., Yang, J., King, R. B., Yang, L., & Chi, P. (2020). COVID-19 Increases Online Searches for Emotional and Health-Related Terms. Applied psychology: Health and Well-Being12(4), 1039–1053. https://doi.org/10.1111/aphw.12237
Gao, J., Zheng, P., Jia, Y., Chen, H., Mao, Y., Chen, S., ... & Dai, J. (2020). Mental health problems and social media exposure during COVID-19 outbreak. PloS One15(4), 1–23. https://doi.org/10.1371/journal.pone.0231924
Granger, C. W. (1988). Some recent development in a concept of causality. Journal of Econometrics39(1-2), 199-211. https://doi.org/10.1016/0304-4076(88)90045-0
Greenberg, N., Docherty, M., Gnanapragasam, S., & Wessely, S. (2020). Managing mental health challenges faced by healthcare workers during covid-19 pandemic. BMJ368, 1–12. https://doi.org/10.1136/bmj.m1211
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 Policy12(6), 567–568. https://doi.org/10.1037/tra0000872
Iran - COVID-19 Overview - Johns Hopkins. (2022, December 3). Johns Hopkins Coronavirus Resource Center. https://coronavirus.jhu.edu/region/iran
Knipe, D., Evans, H., Marchant, A., Gunnell, D., & John, A. (2020). Mapping population mental health concerns related to COVID-19 and the consequences of physical distancing: a Google trends analysis. Wellcome Open Research5, 82–97. https://doi.org/10.12688/wellcomeopenres.15870.2
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 Disorders294, 737–744. https://doi.org/10.1016/j.jad.2021.06.086
Moghanibashi-Mansourieh, A. (2020). Assessing the anxiety level of Iranian general population during COVID-19 outbreak. Asian Journal of Psychiatry51, 1–10. https://doi.org/10.1016/j.ajp.2020.102076
Monzani, D., Vergani, L., Marton, G., Pizzoli, S. F. M., & Pravettoni, G. (2021). When in doubt, Google it: distress-related information seeking in Italy during the COVID-19 pandemic. BMC Public Health21(1), 1902–1921. https://doi.org/10.1186/s12889-021-11887-2
Mousavi, S. A., Hooshyari, Z., & Ahmadi, A. (2020). The Most Stressful Events during the COVID-19 Epidemic. Iranian Journal of Psychiatry15(3), 220–227. https://doi.org/10.18502/ijps.v15i3.3814
Nuti, S. V., Wayda, B., Ranasinghe, I., Wang, S., Dreyer, R. P., Chen, S. I., & Murugiah, K. (2014). The use of google trends in health care research: a systematic review. PloS One9(10), 1–10. https://doi.org/10.1371/journal.pone.0109583
Prabhakaran, S. (2022, August 30). Vector Autoregression (VAR) – Comprehensive Guide with Examples in Python. Machine Learning Plus. https://www.machinelearningplus.com/time-series/vector-autoregression-examples-python/
Rehman, U., Shahnawaz, M. G., Khan, N. H., Kharshiing, K. D., Khursheed, M., Gupta, K., Kashyap, D., & Uniyal, R. (2021). Depression, Anxiety and Stress Among Indians in Times of Covid-19 Lockdown. Community Mental Health Journal57(1), 42–48. https://doi.org/10.1007/s10597-020-00664-x
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 Analytics6, 67–88. https://doi.org/10.3389/frma.2021.670226
Ruiter, R. A., Kessels, L. T., Peters, G. J., & Kok, G. (2014). Sixty years of fear appeal research: current state of the evidence. International journal of psychology: Journal international de psychologie49(2), 63–70. https://doi.org/10.1002/ijop.12042
Stijelja, S., & Mishara, B. L. (2020). COVID-19 and Psychological Distress-Changes in Internet Searches for Mental Health Issues in New York During the Pandemic. JAMA Internal Medicine180(12), 1703–1706. https://doi.org/10.1001/jamainternmed.2020.3271
Tannenbaum, M. B., Hepler, J., Zimmerman, R. S., Saul, L., Jacobs, S., Wilson, K., & Albarracín, D. (2015). Appealing to fear: A meta-analysis of fear appeal effectiveness and theories. Psychological Bulletin141(6), 1178–1204. https://doi.org/10.1037/a0039729
Vaidyanathan, U., Sun, Y., Shekel, T., Chou, K., Galea, S., Gabrilovich, E., & Wellenius, G. A. (2022). An evaluation of Internet searches as a marker of trends in population mental health in the US. Scientific Reports12(1), 1–22. https://doi.org/10.1038/s41598-022-12952-5
Vismara, M., Vitella, D., Biolcati, R., Ambrosini, F., Pirola, V., Dell'Osso, B., & Truzoli, R. (2021). The impact of COVID-19 pandemic on searching for health-related information and cyberchondria on the general population in Italy. Frontiers in Psychiatry12, 1–20. https://doi.org/10.3389/fpsyt.2021.754870
Wright, L., Steptoe, A., & Fancourt, D. (2020). Are we all in this together? Longitudinal assessment of cumulative adversities by socioeconomic position in the first 3 weeks of lockdown in the UK. Journal of Epidemiology and Community Health74(9), 683-688. https://doi.org/10.1136/jech-2020-214475