تأثیر نقش همه‌گیری کووید-19 بر جست‌وجوی اطلاعات سلامت ایرانیان در فضای اینترنت در شش موج بیماری از بهمن 1398 تا فروردین 1401

نوع مقاله : مقاله پژوهشی

نویسندگان

1 دانشجوی دکتری روان‌شناسی سلامت،گروه روان‌شناسی، دانشکده روان‌شناسی و علوم تربیتی، دانشگاه تهران، تهران، ایران.

2 استاد، گروه روان‌شناسی ، دانشکده روان‌شناسی و علوم تربیتی ، دانشگاه تهران، تهران، ایران.

3 استادیار، گروه هوش ماشین و رباتیک ، دانشکده مهندسی برق و کامپیوتر ، دانشگاه تهران، تهران، ایران.

4 دانشیار، گروه روان‌شناسی ، دانشکده روان‌شناسی و علوم تربیتی ، دانشگاه تهران، تهران، ایران.

چکیده

پژوهش حاضر با هدف بررسی رفتار جست‌وجوی اطلاعات ایرانیان در اینترنت در دورۀ کووید-۱۹ انجام شد و به بررسی ارتباط اوج‌گیری بیماری با جست‌وجوی‌های انجام‌شده در اینترنت پرداخت. این پژوهش از نظر هدف، بنیادین و از لحاظ روش پژوهش، توصیفی بود. جامعۀ آماری، جست‌وجوهای انجام‌شدۀ ایرانیان از بهمن 1398 تا فروردین 1401 و نمونۀ مورد بررسی، مفاهیم جست‌وجو شدۀ مرتبط با اضطراب و سلامت روان بود. بخش اول داده‌ها جست‌وجوهایی بود که از سایت گوگل ترندز در آذر 1401 استخراج شد. بخش دوم داده‌ها، آمار روزانۀ مرگ و مبتلایان جدید از سایت دانشگاه جان هاپکینز دریافت شد. تجزیه و تحلیل داده‌ها با آزمون علیت گرنجر و همبستگی پیرسون به کمک Python نسخۀ 3.12 انجام شد. نتایج نشان می‌دهد جست‌وجوی مفاهیم مرتبط با اضطراب در آغاز همه‌گیری رشد کرده است. میزان جست‌وجوی مفاهیم اضطرابی در ابتدای همه‌گیری با تعداد مرگ بر اثر بیماری همبستگی مثبت و معناداری دارد؛ به‌طوری‌که با افزایش آمار مرگ، میزان جست‌وجوی‌های اضطرابی با فاصلۀ چند روز افزایش می‌باید و با کاهش مرگ این جست‌وجوها کمتر می‌شود، اما پس از چند ماه، روند جست‌وجوهای اضطرابی کاهش یافته و دیگر با تعداد مرگ رابطه‌ای نداشته است. در آغاز همه‌گیری جست‌وجوی درمان روان‌شناختی ناچیز است، اما پس از 9 ماه افزایش پیدا می‌کند و با افزایش آمار مرگ، این جست‌وجوها نیز بیشتر شده است. نتایج نشان می‌دهد جست‌وجوهای انجام‌شده در اینترنت می‌تواند ابزاری مفید برای پایش دغدغه‌های جامعه باشد.

کلیدواژه‌ها

عنوان مقاله [English]

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

نویسندگان [English]

  • Amin Nayebi 1
  • Reza Rostami 2
  • Mohammadreza Abolghasemi Dehaqani 3
  • Abbas Rahiminezhad 4
  • Masoud Asadpour 3
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.
چکیده [English]

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.

کلیدواژه‌ها [English]

  • Anxiety
  • Covid-19
  • Google Trends
  • Health Literacy
  • Psychological Treatment

مراجع

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 Medicine, 180(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 Psychiatry, 51, 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 Research, 21(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 Practice, 75(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 Research, 136, 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 Disorders, 318, 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-Being, 12(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 One, 15(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 Econometrics, 39(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. BMJ, 368, 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 Policy, 12(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 Research, 5, 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 Disorders, 294, 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 Psychiatry, 51, 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 Health, 21(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 Psychiatry, 15(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 One, 9(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 Journal, 57(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 Analytics, 6, 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 psychologie, 49(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 Medicine, 180(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 Bulletin, 141(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 Reports, 12(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 Psychiatry, 12, 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 Health, 74(9), 683-688. https://doi.org/10.1136/jech-2020-214475
فصل‌نامه پژوهش‌های کاربردی روانشناختی
دوره 15، شماره 2
1403
صفحه 33-44

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سابقه مقاله

  • تاریخ دریافت: 12 بهمن 1401
  • تاریخ بازنگری: 01 اسفند 1401
  • تاریخ پذیرش: 16 فروردین 1402
  • تاریخ اولین انتشار: 12 دی 1402
  • تاریخ انتشار: 01 شهریور 1403

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