Pandeminin İlk Aylarından Bir İnfodemi Deneyimi, Türkiye

Year 2022, Volume: 6 Issue: 3, 310 - 318, 25.12.2022

Gülcan Demir , Cüneyt Çalışkan , Hilal Özcebe

https://doi.org/10.46332/aemj.1105865

Abstract

Amaç: COVID-19 pandemisi ve etkileri hala devam etmektedir. Bu çalışmada, Türkiye’de yaşayan katılımcıların COVID-19 hakkındaki söylentilere inanma durumlarını belirlemek, Sağlık Bakanlığı’nın korunma önlemlerini uygulamalarına ilişkin bilgi edinebilmek ve Türkiye’de ve dünyada salgının sonlanmasına ilişkin görüşlerini tespit etmek amaçlanmıştır.

Araçlar ve Yöntem: Tanımlayıcı tipteki epidemiyolojik araştırmada, Türkiye’de yaşayan sosyal medya hesaplarını aktif olarak kullanan 18-65 yaş arası 694 kişiye COVID-19 ile ilgili bazı soruları içeren bir anket uygulanmıştır. Verilerin özetlenmesinde (frekans, yüzde ve ortalama gibi) tanımlayıcı istatistiklerden, grupların karşılaştırmasında ise ki-kare analizlerinden faydalanılmıştır. İstatistiksel analizlerde anlamlılık değeri p<0.05 olarak kabul edilmiştir.

Bulgular: Katılımcılar arasında COVID-19 ile ilgili yanlış bilgiye inanma yüzdesinin (%38.4) en düşük olduğu ifade şudur: “Ağzı ve burnu düzenli olarak tuzlu su ile çalkalamak yeni koronavirüs hastalığını önler”. Sağlık çalışanlarında COVID-19 ile ilgili yanlış bilgiye inanma yüzdesi anlamlı derecede düşüktür (sırasıyla p=0.004, p<0.001 ve p<0.001), ancak istenilen düzeyde değildir. Katılımcıların COVID-19’un sonlanması hususunda, Türkiye hakkındaki gelecek öngörüleri Dünyaya göre daha iyimserdi.

Sonuç: Çalışmaya katılanlar arasında yanlış bilgilerin yayılımı söz konusu olup bu durum sağlık çalışanları arasında dahi istenilen düzeyde değildir. 

Keywords

COVID-19, Ölçüm, Yanlış Bilgi, İyimser, Söylenti.

Supporting Institution

Yok

Project Number

Yok

Thanks

Sinop Üniversitesi Sağlık Hizmetleri Meslek Yüksekokulu öğrencilerine veri toplama sürecinde gösterdikleri ilgiden dolayı teşekkür ederiz.

An Infodemia Experience from the First Months of the Pandemic, Turkey

Abstract

Purpose: The COVID-19 pandemic and its effects are still ongoing. The present study was aimed to determine the status of participants in Turkey regarding whether they believe the rumors about COVID-19 in the first months of the pandemic, obtain information about their implementation of the protection measures of the Ministry of Health, and identify their perceptions on ending the pandemic in Turkey and the World.

Materials and Methods: A survey containing some questions about COVID-19 which designed as descriptive epidemiological research was applied to 694 individuals between the ages of 18 and 65, who lived in Turkey and actively used their social media accounts. Descriptive statistics were used in summarizing the data, whereas chi-square analysis was used in the comparison of the groups. In statistical analysis, the significance value was accepted as p<0.05.

Results: The lowest percentage of believing the misinformation on COVID-19 among the participants (38.4%) is "Regularly rinsing the mouth and nose with saline water prevents the new coronavirus disease". The percentage of the healthcare workers who believed the false information about COVID-19 was significantly lower (p=0.004, p<0.001, and p<0.001, respectively) but not at the desired level. In terms of ending COVID-19, the future predictions of the participants were more optimistic for Turkey than all over the world.

Conclusion: There was the spread of false information among the participants, and this was not at the desired level, even among the healthcare workers

Keywords

COVID-19, Misinformation, Optimistic, Rumor., measurement

Project Number

Yok

References

• 1. Cucinotta D, Vanelli M. WHO declares COVID-19 a pandemic. Acta Biomed. 2020;91(1):157-160.
• 2. Droogers M, Ciotti M, Kreidl P, et al. European Pandemic Influenza Preparedness Planning: A Review of National Plans, July 2016. Disaster Med Public Health Prep. 2019;13(3):582-592.
• 3. T.C.Health Ministry. Pandemi̇k İnfluenza Ulusal Hazirlik Plani.; 2019. https://www.grip.gov.tr/depo/ saglik-calisanlari/ulusal_pandemi_plani.pdf. Erişim tarihi 14 Nisan, 2020.
• 4. Moreno C, Wykes T, Galderisi S, et al. How mental health care should change as a consequence of the COVID-19 pan-demic. Lancet Psychiatry. 2020; 0366(20):1-6.
• 5. Ali I. COVID-19: Are We Ready for the Second Wave? Disaster Med Public Health Prep. 2020;14(5): 16-18.
• 6. T.C.Health Ministry. COVID-19 Yeni koronavirüs hastalığı. https://covid19bilgi.saglik.gov.tr/tr/. Access date April 14, 2020.
• 7. Trilla A, Trilla G, Daer C. The 1918 “Spanish Flu” in Spain. Clin Infect Dis. 2008;47(5):668-673.
• 8. World Health Organization. Infodemic. https://www.who.int/health-topics/infdemic#tab=tab _1. Access date July 27, 2021.
• 9. Halk Sağlığı Uzmanları Derneği. Infographics. https://korona.hasuder.org.tr/infografiler/. Access date 29 September, 2022
• 10. Pan SL, Cui M, Qian J. Information resource orchestration during the COVID-19 pandemic: A study of community lockdowns in China. Int J Inf Manage. 2020;54:102143.
• 11. Pan SL, Pan G, Leidner DE. Crisis response information networks. J Assoc Inf Syst. 2012;13(1):31-56.
• 12. Rahmi R, Joho H, Shirai T. An analysis of natural disaster-related information-seeking behavior using temporal stages. J Assoc Inf Sci Technol. 2019;70(7):715-728.
• 13. Tim Y, Pan SL, Ractham P, Kaewkitipong L. Digitally enabled disaster response: the emergence of social media as boundary objects in a flooding disaster. Inf Syst J. 2017;27(2):197-232.
• 14. Muniz-Rodriguez K, Ofori SK, Bayliss LC, et al. Social Media Use in Emergency Response to Natural Disasters: A Systematic Review with a Public Health Perspective. Disaster Med Public Health Prep. 2020;14(1):139-149.
• 15. The Lancet. COVID-19: fighting panic with information. Lancet. 2020;395(10224):537.
• 16. Leung GM, Leung K. Crowdsourcing data to mitigate epidemics. Lancet Digit Heal. 2020;2(4):e156-e157.
• 17. Ramalingam S, Graham C, Dove J, Morrice L, Sheikh A. Hypertonic saline nasal irrigation and gargling should be considered as a treatment option for COVID-19. J Glob Health. 2020;10(1):19-22.
• 18. World Health Organization. Coronavirus disease (COVID-19) advice for the public: Mythbusters. https://www.who.int/emergencies/diseases/novel-corona virus-2019/advice-for-public/myth-busters#hand -dryers. Access date August 27, 2020.
• 19. Csiszar A, Jakab F, Valencak TG, et al. Companion animals likely do not spread COVID-19 but may get infected them-selves. GeroScience. 2020;42(5):1229-1236.
• 20. Shi J, Wen Z, Zhong G, et al. Susceptibility of ferrets, cats, dogs, and other domesticated animals to SARS–coronavirus 2. Science. 2020;368(6494):1016-1020.
• 21. Abelenda-Alonso G, Padullés A, Rombauts A, et al. Antibiotic prescription during the COVID-19 pandemic: a biphasic pattern. Infect Control Hosp Epidemiol. 2020:41(11):1371-1372.
• 22. Nestler MJ, Godbout E, Lee K, et al. Impact of COVID-19 on pneumonia-focused antibiotic use at an academic medical center. Infect Control Hosp Epidemiol. 2021;42(7):915-916.
• 23. World Health Organization. Water, Sanitation, Hygiene, and Waste Management for the COVID-19 Virus.;2020. https://www.who.int/publications/i/item/ water-sanitation-hygiene-and-waste-management-for-covid-19-technical-brief-03-march-2020. Access date 29 November, 2022.
• 24. Dehghani R, Kassiri H. A Brief Review on the Possible Role of Houseflies and Cockroaches in the Mechanical Transmission of Coronavirus Disease 2019 (COVID-19). Arch Clin Infect Dis. 2020;15(COVID-19):e102863.
• 25. Shankar A, Saini D, Roy S, et al. Cancer Care Delivery Challenges Amidst Coronavirus Disease–19(COVID-19) Out-break: Specific Precautions for Cancer Patients and Cancer Care Providers to Prevent Spread. Asian Pacific. J Cancer Prev. 2020;21(3):569-573.
• 26. Wu Z, McGoogan JM. Characteristics of and Important Lessons From the Coronavirus Disease 2019 (COVID-19) Outbreak in China. JAMA. 2020;323 (13):1239.
• 27. De Coninck D, D’Haenens L, Matthijs K. Perceived vulnerability to disease and attitudes towards public health measures: COVID-19 in Flanders, Belgium. Pers Individ Dif. 2020;166:110220.
• 28. Sear RF, Velasquez N, Leahy R, et al. Quantifying COVID-19 Content in the Online Health Opinion War Using Machine Learning. IEEE Access. 2020;8:91886-91893.
• 29. Beyhun NE, Saltuk Demir L, Yavuz M, et al. Yeni Koronavirüs (COVID-19) Haber Postası - Yeni Koronavirüs Has-talığı 2019. HASUDER. Published April 18, 2020. https://korona.hasuder.org.tr/hasuder-yeni-koronavirus-covid-19-haber-postasi-18-04-2020 /. Access date 29 November, 2022.