Araştırma Makalesi


DOI :10.26650/CONNECTIST2023-1023972   IUP :10.26650/CONNECTIST2023-1023972    Tam Metin (PDF)

Sosyal medyanın Covid-19 ve insanların önleyici davranışları hakkında bilgi arama amaçlı kullanımı: Aotearoa Yeni Zelanda’da pandemiyi yönetmek

Zarqa Shaheen AlıJyoti Deswalş

Öz Bu çalışma, sosyal medyanın COVID-19 hakkında bilgi almak için kullanımını ve insanların COVID-19 ile mücadele etmek için önleyici davranışlarını değerlendirmektedir. Cevapları bulmak için, Yeni Zelanda’daki 254 katılımcıya çevrimiçi iletişim platformları aracılığıyla anket gönderilerek çevrimiçi bir anket yapılmıştır. Bulgular, kadınların daha aktif bir şekilde sosyal medyada COVID-19 hakkında bilgi aradığını göstermektedir. Ankete katılanların çoğu, COVID-19 vakaları hakkında güncellemeleri yerel ve küresel olarak takip etmektedir. COVID-19 salgını sırasında insanlar sosyal medyada daha fazla zaman harcamaktadır. Ankete katılanların çoğunluğu günde 3-4 saatini sosyal medyada geçirmekte ve pandemi hakkında Facebook’tan bilgi almayı tercih etmektedir. Ankete katılanların çoğunluğunun COVID-19 ile ilgili tüm güncellemeleri takip ettiği ve sosyal medya aracılığıyla zamanında ve güncel bilgiler  aldıklarına inandıkları tespit edilmiştir. Sadece birkaç katılımcı pandemi ile ilgili herhangi bir güncellemeyi takip etmemektedir. Ayrıca doğru, güncel ve kesin bilgi sağlama konusunda hangi sosyal medya platformuna güvendikleri sorulduğunda, yanıt verenlerin çoğu diğer geleneksel medyaya kıyasla Facebook’un COVID-19 hakkında daha alakalı ve güncel bilgiler sağladığına inanmaktadır. Son olarak bu çalışma, katılımcıların sosyal medyadan bilgi aldığını ve COVID-19 ile mücadele için önleyici davranışları benimsemesini tespit etmiştir..

DOI :10.26650/CONNECTIST2023-1023972   IUP :10.26650/CONNECTIST2023-1023972    Tam Metin (PDF)

Use of social media for seeking information about COVID-19 and people’s preventive behaviour: managing the pandemic in Aotearoa New Zealand

Zarqa Shaheen AlıJyoti Deswalş

Abstract This study assesses the use of social media for seeking information about COVID-19 and people’s preventive behaviour to combat COVID-19. To find the answers, an online survey was conducted by sending questionnaires to 254 respondents in New Zealand (NZ) through online communication platforms. The findings show that females are more actively seeking information from social media about COVID-19. Most of the respondents look for updates about COVID-19 cases locally and globally. During the COVID-19 pandemic, people are spending more time on social media. A majority of the respondents spend 3-4 hours per day on social media and prefer finding information about the pandemic from Facebook. It was found that the majority of respondents follow all updates about COVID-19 and believe that they receive timely and updated information through social media. Only a few do not follow any updates about the pandemic. In addition, when they were asked which social media platform they trust to provide true, up to date, and accurate information, most of the respondents believe that Facebook provides relevant and up-to-date information about COVID-19 compared to other traditional media. Lastly, this study identified the information received from social media and the adoption of preventive behaviour by the respondents to combat COVID-19.


PDF Görünüm

Referanslar

  • Abbas, J., Wang, D., Su, Z., & Ziapour, A. (2021). The role of social media in the advent of COVID-19 pandemic: Crisis management, mental health challenges and implication. Risk management and healthcare policy, 14, 1917. https://doi.org/10.2147/RMHP.S284313 google scholar
  • Ahmad, A. R., & Murad, H. R. (2020). The Impact of social media on panic during the COVID-19 Pandemic in Iraqi Kurdistan: Online questionnaire study. Journal of medical Internet research, 22(5), e19556. https://doi. org/10.2196/19556 google scholar
  • Al-Dmour, H., Masa’deh, R., Salman, A., Abuhashesh, M., & Al-Dmour, R. (2020). Influence of social media platforms on public health protection against the COVID-19 pandemic via the mediating effects of public health awareness and behavioral changes: Integrated Model. J Med Internet Res 2020;22(8):E19996 Https:// Www.Jmir.Org/2020/8/E19996, 22(8), e19996. https://doi.org/10.2196/19996 google scholar
  • Anzai, A., Kobayashi, T., Linton, N. M., Kinoshita, R., Hayashi, K., Suzuki, A., Yang, Y., Jung, S. M., Miyama, T., Akhmetzhanov, A. R., & Nishiura, H. (2020). Assessing the impact of reduced travel on exportation dynamics of novel coronavirus infection (COVID-19). Journal of Clinical Medicine 2020, Vol. 9, Page 601, 9(2), 601. https:// doi.org/10.3390/JCM9020601 google scholar
  • Austin, L., Fisher Liu, B., & Jin, Y. (2012). How audiences seek out crisis information: Exploring the social-mediated crisis communication Model. Journal of Applied Communication Research, 40(2), 188–207. https://doi.org/10. 1080/00909882.2012.654498 google scholar
  • Basoglu, N., Daim, T. U., Atesok, H. C., & Pamuk, M. (2010). Exploring the impact of information technology on health information-seeking behaviour. International Journal of Business Information Systems, 5(3), 291-308. google scholar
  • Bavel, J.J.V., Baicker, K., Boggio, P.S. (2020) Using social and behavioural science to support COVID-19 pandemic response. Nat Hum Behav 4, 460–471 https://doi.org/10.1038/s41562-020-0884-z google scholar
  • Bento, A. I., Nguyen, T., Wing, C., Lozano-Rojas, F., Ahn, Y. Y., & Simon, K. (2020). Information seeking responses to news of local COVID-19 cases: Evidence from internet search data. arXiv preprint arXiv:2004.04591. google scholar
  • Boon-Itt, S., & Skunkan, Y. (2020). Public perception of the COVID-19 pandemic on twitter: Sentiment analysis and topic modeling Study. JMIR Public Health Surveill 2020;6(4):E21978 Https://Publichealth.Jmir.Org/2020/4/ E21978, 6(4), e21978. https://doi.org/10.2196/21978 google scholar
  • Brailovskaia, J., & Margraf, J. (2021). The relationship between burden caused by coronavirus (Covid-19), addictive social media use, sense of control and anxiety. Computers in Human Behavior, 119, 106720. google scholar
  • Brailovskaia, J., Cosci, F., Mansueto, G., Miragall, M., Herrero, R., Baños, R. M., ... & Margraf, J. (2021). The association between depression symptoms, psychological burden caused by Covid-19 and physical activity: An investigation in Germany, Italy, Russia, and Spain. Psychiatry Research, 295, 113596. google scholar
  • Burki, T. (2021). Understanding variants of SARS-CoV-2. The Lancet, 397(10273), 462. google scholar
  • Case, D. O., & Given, L. (2016). Looking for information: A survey of research on information seeking, needs and behavior (Fourth ed.). Bradford, UL: Emerald Group Publishing. google scholar
  • Cerra, V., Fatas, A., & Saxena, S. C. (2021). Fighting the scarring effects of COVID-19. Industrial and Corporate Change, 30(2), 459–466. https://doi.org/10.1093/ICC/DTAB030 google scholar
  • Chan, A. K., Nickson, C. P., Rudolph, J. W., Lee, A., & Joynt, G. M. (2020). Social media for rapid knowledge dissemination: early experience from the COVID‐19 pandemic. https://doi.org/10.2147/RMHP.S284313 google scholar
  • Chaudhary, M., Sodani, P. R., & Das, S. (2020). Effect of COVID-19 on economy in India: Some Reflections for Policy and Programme: Https://Doi.Org/10.1177/0972063420935541, 22(2), 169–180. https://doi. org/10.1177/0972063420935541 google scholar
  • Chauhan, P., Ansari, S., & Sharma, N. K. (2021). Exploring Information seeking behaviour of the people during COVID-19 outbreak in India. Library Philosophy and Practice, 1-13. https://www.proquest.com/scholarlyjournals/exploring-information seeking-behaviour- people/docview/2552127257/se-2? Account id=16470 google scholar
  • Chew, C., & Eysenbach, G. (2010). Pandemics in the age of Twitter: Content analysis of tweets during the 2009 H1N1 outbreak. PLoS ONE, 5(11). https://doi.org/10.1371/JOURNAL.PONE.0014118 google scholar
  • Chin, C., & Wang, C. (2020). Effectiveness of COVID-19 pandemic prevention: A cross- country comparison of digital footprint of Google search data. Advances in Management and Applied Economics, 10(4), 23-34. https://www.proquest.com/scholarly google scholar
  • Cook, C. (2020). COVID-19: Social media in the spotlight after misinformation. Retrieved from https://www.rnz.co.nz/news/national/423694/covid-19-social-media-in-the-spotlight-after-misinformation google scholar
  • Comp, G., Dyer, S., & Gottlieb, M. (2021). Is TikTok the next social media frontier for medicine? AEM Education and Training, 5(3), aet2.10532. https://doi.org/10.1002/aet2.10532 google scholar
  • Cress, U., Barquero, B., Buder, J., & Hesse, F. W. (2005). Social dilemma in knowledge communication via shared databases. In barriers and biases in computer-mediated knowledge communication (pp. 143-167). Springer, Boston, MA. google scholar
  • Dadaczynski K, Okan O, Messer M, Leung A, Rosário R, Darlington E, Rathmann K (2021). google scholar
  • Digital health literacy and web-based information seeking behaviours of university students in Germany during the COVID-19 pandemic: Cross-sectional Survey Study J Med Internet Res, 23(1): e24097 google scholar
  • De Coninck, D., d’Haenens, L., & Matthijs, K. (2020). Perceived vulnerability to disease and attitudes towards public health measures: COVID-19 in Flanders, Belgium. Personality and Individual Differences, 166. https:// doi.org/10.1016/J.PAID.2020.110220 google scholar
  • Demuyakor, J. (2020). Social media and COVID-19 pandemic: Enhancing panic or preventing it? International Journal of Humanities, Arts and Social Sciences, 6(5), 211–222. https://doi.org/10.20469/IJHSS.6.20005-5 google scholar
  • Depoux, A., Martin, S., Karafillakis, E., Preet, R., Wilder-Smith, A., & Larson, H. (2020). The pandemic of social media panic travels faster than the COVID-19 outbreak. Journal of Travel Medicine, 27(3). https://doi. org/10.1093/JTM/TAAA031 google scholar
  • D’Souza, R. S., D’Souza, S., Strand, N., Anderson, A., Vogt, M. N., & Olatoye, O. (2020). google scholar
  • YouTube as a source of medical information on the novel coronavirus 2019 disease (COVID-19) pandemic. Global public health, 15(7), 935-942.https://doi.org/10.1080/17441692.2020.1761426 google scholar
  • Eghtesadi, M., & Florea, A. (2020). 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 = Revue Canadienne de Santé Publique, 111(3), 389. https://doi. org/10.17269/S41997-020-00343-0 google scholar
  • Etta, G., Galeazzi, A., Hutchings, J. R., Stirling, C., Smith, J., Conti, M., Quattrociocchi, W., Valentino, G., & Riva, D. (2022). COVID-19 infodemic on Facebook and containment measures in Italy, United Kingdom and NZ. PLoSONE, 17(5). https://doi.org/10.1371/journal.pone.0267022 google scholar
  • Ezebuilo, R. F. D. H. C. (2021). COVID-19 Pandemic: The socio-economic and health challenges to Africa. Aquino Journal of Philosophy, 1(2) google scholar
  • Fraser, M. R., & Blumenstock, J. (2021). Lessons relearned? H1N1, COVID-19, and vaccination planning. Journal of Public Health Management and Practice, 27, S106–S110. https://doi.org/10.1097/PHH.0000000000001289 google scholar
  • Firouzbakht, M., Omidvar, S., Firouzbakht, S., & Asadi-Amoli, A. (2021). COVID-19 preventive behaviours and influencing factors in the Iranian population; a web-based survey. BMC Public Health, 21(1), 143. https://doi. org/10.1186/s12889-021-10201-4 google scholar
  • Fridman, I., Lucas, N., Henke, D., & Zigler, C. K. (2020). Association between public knowledge about COVID-19, trust in information sources, and adherence to social distancing: Cross-sectional survey. JMIR Public Health Surveill 2020;6(3):E22060 Https://Publichealth.Jmir.Org/2020/3/E22060, 6(3), e22060. https://doi.org/10.2196/22060 google scholar
  • Gates, B. (2020). Responding to COVID-19—a once-in-a-century pandemic? New England Journal of Medicine, 382(18), 1677-1679. 10.1056/NEJMp2003762 google scholar
  • González-Padilla, D. A., & Tortolero-Blanco, L. (2020). Social media influence in the COVID-19 pandemic. International braz j urol, 46, 120-124. https://doi.org/10.1590/S1677-5538.IBJU.2020.S121 google scholar
  • Griffin, R. J., Dunwoody, S., and Neuwirth, K. (1999a). Proposed model of the relationship of risk information seeking and processing to the development of preventive behaviours. Environ. Res. 80, S230–S245. doi: 10.1006/enrs.1998.3940 google scholar
  • Griffin, R. J., Dunwoody, S., Neuwirth, K., and Giese, J. (1999b). “The relationship of information sufficiency to seeking and processing risk information,” in Annual Convention of the International Communication Association (San Francisco, CA) google scholar
  • Griffin, R. J., Yang, Z., Ter Huurne, E., Boerner, F., Ortiz, S., and Dunwoody, S. (2008). After the flood: Anger, attribution, and the seeking of information. Sci. Commun. 29, 285– 315. doi: 10.1177/1075547007312309 google scholar
  • Griffin, R.J.; Yang, Z.; Boerner, F.; Bourassa, S.; Darrah, T.; Knurek, S.; Ortiz, S.; Dunwoody, S. (2005). Applying an information seeking and processing model to a study of communication about energy; Annual Convention of the Association for Education in Journalism and Mass Communication: San Antonio, TX, USA, 2005; Volume 2005. google scholar
  • Guidry, J. P., Jin, Y., Orr, C. A., Messner, M., & Meganck, S. (2017). Ebola on Instagram and Twitter: How health organizations address the health crisis in their social media engagement. Public relations review, 43(3), 477-486. https://doi.org/10.1016/j.pubrev.2017.04.009 google scholar
  • Gunderson J, Mitchell D, Reid K, Jordan M. COVID-19 (2020). Information seeking and prevention behaviours in Florida. Prev Chronic Dis. 2021 Feb 25;18: E17. doi: 10.5888/pcd18.200575. PMID: 33630730; PMCID: PMC7938963. google scholar
  • Hassounah, M., Raheel, H., & Alhefzi, M. (2020). Digital response during the COVID-19 pandemic in Saudi Arabia. J Med Internet Res 2020;22(9):E19338 Https://Www.Jmir.Org/2020/9/E19338, 22(9), e19338. https://doi.org/10.2196/19338 google scholar
  • Hesse, B. W., Nelson, D. E., Kreps, G. L., Croyle, R. T., Arora, N. K., Rimer, B. K., & Viswanath, K. (2005). Trust and sources of health information: The impact of the Internet and its implications for health care providers: Findings from the first Health Information National Trends Survey. Archives of internal medicine, 165(22), 2618-2624. google scholar
  • Hinton, T. (2021). NZ: social media penetration 2021. Tatista. https://www.statista.com/statistics/680698/newzealand-social-media-penetration. google scholar
  • Hu, M., Lin, H., Wang, J., Xu, C., Tatem, A. J., Meng, B., Zhang, X., Liu, Y., Wang, P., Wu, G., Xie, H., & Lai, S. (2021). Risk of coronavirus disease 2019 transmission in train passengers: An epidemiological and modeling study. Clinical Infectious Diseases, 72(4), 604–610. https://doi.org/10.1093/CID/CIAA1057 google scholar
  • Hunter, P. (2020). The spread of the COVID-19 coronavirus. EMBO Reports, 21(4), e50334. https://doi.org/10.15252/ EMBR.202050334 google scholar
  • Ittefaq, M., Hussain, S. A., & Fatima, M. (2020). COVID-19 and social-politics of medical misinformation on social media in Pakistan. Https://Doi.Org/10.1080/01296612.2020.1817264, 47(1–2), 75–80. https://doi.org/10.1080/ 01296612.2020.1817264 google scholar
  • Jacobs, W., Amuta, A. O., & Jeon, K. C. (2017). Health information seeking in the digital age:An analysis of health information seeking behavior among US adults. Cogent Social Sciences, 3(1), 1302785. google scholar
  • Jefferies, S., French, N., Gilkison, C., Graham, G., Hope, V., Marshall, J., McElnay, C., McNeill, A., Muellner, P., Paine, S., Prasad, N., Scott, J., Sherwood, J., Yang, L., & Priest, P. (2020). COVID-19 in NZ and the impact of the national response: A descriptive epidemiological study. The Lancet Public Health, 5(11), e612--e623. https:// doi.org/10.1016/S2468-2667(20)30225-5 google scholar
  • Jin, Y., Liu, B. F., & Austin, L. L. (2014). Examining the role of social media in effective crisis management: The effects of crisis origin, information form, and source on publics’ crisis responses. Communication research, 41(1), 74-94. https://doi.org/10.1177/0093650211423918 google scholar
  • Kalayou, M. H., Tilahun, B., Berhanu, F. E., Nurhussien, F., Melese, T., & Guadie, H. A. (2020). Information seeking on COVID-19 pandemic: Care providers’ experience at the University of Gondar Teaching Hospital, Northwest of Ethiopia. Journal of Multidisciplinary Healthcare, 13, 1957-1964. http://dx.doi.org/10.2147/JMDH. S283563 google scholar
  • Kaplan, L. J., Bleck, T. P., Buchman, T. G., Dellinger, R. P., Deutschman, C. S., Marshall, J. C., Maslove, D. M., Masur, H., Parker, M. M., Prough, D. S., Sarwal, A., Sevransky, J. E., Vincent, J. L., & Zimmerman, J. J. (2020). Pandemicrelated submissions: The challenge of discerning signal amidst noise. Critical Care Medicine, 48(8), 1099. https://doi.org/10.1097/CCM.0000000000004477 google scholar
  • Kenzhin, Z. B., Tulegenova, A. U., Zolkin, A. L., Kosnikova, O. V, Shichkin, I. A., & Khan, Z. (2021). Labour market under economy digitalization. E3S Web of Conferences, 311, 08007. https://doi.org/10.1051/E3SCONF/202131108007 google scholar
  • Khalesi, S., Vandelanotte, C., Thwaite, T. L., Alley, S. J., Williams, S. L., To, Q. G., ... & Stanton, R. (2021). How are COVID‐19 knowledge and concern associated with practising preventive behaviours in Australian adults? Australian and NZ journal of public health, 45(5), 523-525. google scholar
  • Khamis, R. M., & Geng, Y. (2021). Social media usage in health communication and its implications on public health security: A case study of COVID-19 in Zanzibar. Online Journal of Communication and Media Technologies, 11(1), e202101. https://doi.org/10.30935/OJCMT/9575 google scholar
  • Kim, H. K., Ahn, J., Atkinson, L., & Kahlor, L. A. (2020). Effects of COVID-19 misinformation on information seeking, avoidance, and processing: A multicountry comparative study. Science Communication, 42(5), 586–615. https://doi.org/10.1177/1075547020959670 google scholar
  • Lal, A., Ashworth, H. C., Dada, S., Hoemeke, L., & Tambo, E. (2020). Optimizing pandemic preparedness and response through health information systems: Lessons learned from Ebola to COVID-19. Disaster Medicine and Public Health Preparedness, 1–8. https://doi.org/10.1017/DMP.2020.361 google scholar
  • Lambert, S. D., & Loiselle, C. G. (2007). Health information—seeking behavior. Qualitative health research, 17(8), 1006-1019. google scholar
  • Li, S., Feng, B., Liao, W., & Pan, W. (2020). Internet use, risk awareness, and demographic characteristics associated with engagement in preventive behaviors and testing: Cross-sectional survey on COVID-19 in the United States. J Med Internet Res 2020;22(6):E19782 Https://Www.Jmir.Org/2020/6/E19782, 22(6), e19782. https://doi. org/10.2196/19782 google scholar
  • Liu, B. F., Austin, L., & Jin, Y. (2011). How publics respond to crisis communication strategies: The interplay of information form and source. Public relations review, 37(4), 345-353. https://doi.org/10.1016/j. pubrev.2011.08.004 google scholar
  • Lovari, A. (2020). Spreading (Dis)Trust: COVID-19 misinformation and government intervention in Italy. Media and Communication, 8(2), 458–461. https://doi.org/10.17645/mac.v8i2.3219 google scholar
  • Maher, P. J., MacCarron, P., & Quayle, M. (2020). Mapping public health responses with attitude networks: the emergence of opinion-based groups in the UK’s early COVID-19 response phase. British Journal of Social Psychology, 59(3), 641–652. https://doi.org/10.1111/BJSO.12396 google scholar
  • Mao, Y., Chen, H., Wang, Y., Chen, S., Gao, J., Dai, J., Jia, Y., Xiao, Q., Zheng, P., & Fu, H. (2021). How can the uptake of preventive behaviour during the COVID-19 outbreak be improved? An online survey of 4827 Chinese residents. BMJ Open, 11, 42954. https://doi.org/10.1136/bmjopen-2020-042954 google scholar
  • Medlock, S., Eslami, S., Askari, M., Arts, D. L., Sent, D., De Rooij, S. E., & Abu-Hanna, A. (2015). Health information– seeking behavior of seniors who use the Internet: a survey. Journal of medical Internet research, 17(1), e3749 google scholar
  • Merchant, R. M., & Lurie, N. (2020). Social media and emergency preparedness in response to novel coronavirus. JAMA, 323(20), 2011–2012. https://doi.org/10.1001/JAMA.2020.4469 google scholar
  • Merchant, R. M., South, E. C., & Lurie, N. (2021). Public health messaging in an era of social media. JAMA, 325(3), 223–224. https://doi.org/10.1001/JAMA.2020.24514 google scholar
  • Ministry of Business, Innovation & Employment. (July, 2020). NZ’s Covid-19 research response. Retrieved from https://www.mbie.govt.NZ Aotearoa/dmsdocument/11621-new-zealands-covid-19-research-response-pdf google scholar
  • Ministry of Health (March 31, 2020). COVID-19 modelling provides a clear warning of consequences of not acting swiftly and decisively. Retrieved from https://www.health.govt.NZ Aotearoa/our-work/diseases-andconditions/covid-19- novel-coronavirus/covid-19-data-and-statistics/covid-19-current-cases google scholar
  • Mishra, J., Allen, D., & Pearman, A. (2015). Information seeking, use, and decision making. Journal of the association for information science and technology, 66(4), 662-673. google scholar
  • Mitchell, S., Maynard, V., Lyons, V., Jones, N., & Gardiner, C. (2020). The role and response of primary healthcare services in the delivery of palliative care in epidemics and pandemics: A rapid review to inform practice and service delivery during the COVID-19 pandemic. Palliative Medicine, 34(9), 1182–1192. https://doi. org/10.1177/0269216320947623 google scholar
  • Moradi, F., Enjezab, B., & Ghadiri-Anari, A. (2020). The role of androgens in COVID-19. Diabetes & Metabolic Syndrome: Clinical Research & Reviews, 14(6), 2003-2006. google scholar
  • Musarezaie, N., Samouei, R., Shahrzadi, L., & Ashrafi-Rizi, H. (2019). Prediction of health information-seeking behavior components based on health anxiety among users of public libraries. Journal of education and health promotion, 8. 10.4103/jehp.jehp_262_19 google scholar
  • Myllylahti M, Treadwell G. (April 29, 2021). Trust in news declines, RNZ Aotearoa and TV NZ Aotearoa the most trusted for COVID information. google scholar
  • Neely S, Eldredge C, Sanders R (2021). Health information seeking behaviours on social media during the COVID-19 pandemic among American social networking site users: Survey Study J Med Internet Res;23(6): e29802URL: https://www.jmir.org/2021/6/e29802DOI: 10.2196/29802 google scholar
  • NZ Government (n.d.). Unite against COVID-19. Retrieved from https://covid19.govt.nz google scholar
  • Nguyen, N. P. T., Hoang, T. D., Tran, V. T., Vu, C. T., Fodjo, J. N. S., Colebunders, R., Dunne, M. P., & van Vo, T. (2020). Preventive behavior of Vietnamese people in response to the COVID-19 pandemic. PLOS ONE, 15(9), e0238830. https://doi.org/10.1371/JOURNAL.PONE.0238830 google scholar
  • Niedzwiedz, C. L., Green, M. J., Benzeval, M., Campbell, D., Craig, P., Demou, E., Leyland, A., Pearce, A., Thomson, R., Whitley, E., & Katikireddi, S. V. (2021). Mental health and health behaviours before and during the initial phase of the COVID-19 lockdown: longitudinal analyses of the UK Household Longitudinal Study. J Epidemiol Community Health, 75(3), 224–231. https://doi.org/10.1136/JECH-2020-215060 google scholar
  • Obilor, N. M., & Awogu, C. O. (2021). COVID-19 protocols and the spread of corona virus in Awka. African Journal of Social and Behavioural Sciences, 11(2). google scholar
  • Pakpour, A. H., & Griffiths, M. D. (2020). The fear of COVID-19 and its role in preventive behaviours. Journal of Concurrent Disorders, 2(1), 58-63. google scholar
  • Patil, U., Kostareva, U., Hadley, M., Manganello, J. A., Okan, O., Dadaczynski, K., ... & Sentell, T. (2021). Health literacy, digital health literacy, and COVID-19 pandemic attitudes and behaviors in US college students: Implications for interventions. International Journal of Environmental Research and Public Health, 18(6), 3301. google scholar
  • Pohjola, V., Nurkkala, M., & Virtanen, J. I. (2021). Psychological distress, oral health behaviour and related factors among adolescents: Finnish School Health Promotion Study. BMC Oral Health, 21(1), 1–9. https://doi. org/10.1186/S12903-020-01357-3/TABLES/5 google scholar
  • Pramiyanti, A., Mayangsari, I. D., Nuraeni, R., & Firdaus, Y. D. (2020). Public perception on transparency and trust in government information released during the COVID-19 Pandemic. Asian Journal for Public Opinion Research, 8(3), 351–376. https://doi.org/10.15206/AJPOR.2020.8.3.351 google scholar
  • Ramesh, N., Siddaiah, A., & Joseph, B. (2020). Tackling Corona virus disease 2019 (COVID 19) in Workplaces. Indian Journal of Occupational and Environmental Medicine, 24(1), 16. https://doi.org/10.4103/IJOEM. IJOEM_49_20 google scholar
  • Rabby, I. I., Hossain, F., Akhi, I. J., Amin, S. S., & Khan, A. (2020). Understanding of general people about COVID-19: A cross-sectional online survey and qualitative presentation. Türkiye Klinikleri. Tip Bilimleri Dergisi, 40(2), 203-219. https://doi.org/10.5336/medsci.2020-75605 google scholar
  • Raude, J., Lecrique, J. M., Lasbeur, L., Leon, C., Guignard, R., Roscoät, E. D., & Arwidson, P.(2020). Determinants of preventive behaviors in response to the COVID-19 pandemic in France: Comparing the sociocultural, psychosocial and social cognitive explanations. Frontiers in Psychology, 11, 3345. https://doi.org/10.3389/ fpsyg.2020.584500 google scholar
  • Robson, A., & Robinson, L. (2013). Building on models of information behaviour: Linking information seeking and communication. Journal of documentation. google scholar
  • Rodríguez-Morales, A. J., MacGregor, K., Kanagarajah, S., Patel, D., & Schlagenhauf, P. (2020). Going global – Travel and the 2019 novel coronavirus. Travel Medicine and Infectious Disease, 33, 101578. https://doi.org/10.1016/J. TMAID.2020.101578 google scholar
  • Roselina, E., & Asmiyanto, T. (2021). Health information-seeking behavior on The COVID-19 pandemic: Social media usage by Gen Z in Jakarta, Indonesia (pp. 1–7). google scholar
  • Sandhu, R., Sood, S. K., & Kaur, G. (2016). An intelligent system for predicting and preventing MERS-CoV infection outbreak. Journal of Supercomputing, 72(8), 3033–3056. https://doi.org/10.1007/S11227-015-1474-0 google scholar
  • Sarwar, A., & Imran, M. (2021). Prioritizing infection prevention and control activities for SARS-CoV-2 (COVID-19): A multi-criteria decision-analysis method. Journal of Healthcare Leadership, Volume 13, 77–84. https://doi. org/10.2147/JHL.S292606 google scholar
  • Saxena, S. K. (2020). Coronavirus Disease 2019 (COVID-19): Epidemiology, pathogenesis, diagnosis, and therapeutics. Germany: Springer Singapore. google scholar
  • Shrestha, R. M., Khanal, S., & Gupta, A. (2021). Knowledge and practice of preventive behavior on COVID-19 among school-children of Kathmandu Valley. J Kantipur Dent Coll, 2(1), 11–14 google scholar
  • Sommariva, S., Vamos, C., Mantzarlis, A., Đào, L. U. L., & Martinez Tyson, D. (2018). Spreading the (fake) news: Exploring health messages on social media and the implications for health professionals using a case study. American journal of health education, 49(4), 246-255. https://doi.org/10.1080/19325037.2018.1473178 google scholar
  • Song, S., Yao, X., & Wen, N. (2021). What motivates Chinese consumers to avoid information about the COVID-19 pandemic? The perspective of the stimulus-organism- response model. Information Processing & Management, 58(1), 102407 google scholar
  • Soroya, S. H., Farooq, A., Mahmood, K., Isoaho, J., & Zara, S. E. (2021). From information seeking to information avoidance: Understanding the health information behaviour during a global health crisis. Information processing & management, 58(2), 102440. google scholar
  • Stats, NZ (2020). Retrieved from https://www.stats.govt.nz/topics/population google scholar
  • Tejada, J. B. (2020). Awareness, facts, and fallacy about Coronavirus in Duba community. IOSR Journal of Nursing and Health Science, 9(4), 43–51. https://doi.org/10.9790/1959-0904094351 google scholar
  • Thai, C. L., Gaysynsky, A., Falisi, A., Chou, W.-Y. S., Blake, K., & Hesse, B. W. (2018). Chapter 2: Trust in health information sources and channels, then and now: Evidence from the Health Information National Trends Survey (2005–2013). In T. M. Hale, W.-Y. S. Chou, S. R. Cotten, & A. Khilnani (Eds.), {eHealth}: Current evidence, promises, perils and future directions (Vol. 15, pp. 43–67). Emerald Publishing Limited. https://doi. org/10.1108/S2050-206020180000015002 google scholar
  • Thirumaran, K., Mohammadi, Z., Pourabedin, Z., Azzali, S., & Sim, K. (2021). COVID-19 in Singapore and NZ: Newspaper portrayal, crisis management. Tourism Management Perspectives, 38, 100812. https://doi. org/10.1016/J.TMP.2021.100812 google scholar
  • Thornton, K. (2021). Leading through COVID-19: NZ secondary principals describe their reality. Https://Doi. Org/10.1177/1741143220985110, 49(3), 393–409. https://doi.org/10.1177/1741143220985110 google scholar
  • Tiirinki, H., Tynkkynen, L. K., Sovala, M., Atkins, S., Koivusalo, M., Rautiainen, P., Jormanainen, V., & Keskimäki, I. (2020). COVID-19 pandemic in Finland – Preliminary analysis on health system response and economic consequences. Health Policy and Technology, 9(4), 649–662. https://doi.org/10.1016/J.HLPT.2020.08.005 google scholar
  • Ting, D. S. W., Carin, L., Dzau, V., & Wong, T. Y. (2020). Digital technology and COVID-19. Nature Medicine 2020 26:4, 26(4), 459–461. https://doi.org/10.1038/s41591-020-0824-5 google scholar
  • Wang, T., & Lund, B. (2020). Announcement information provided by United States’ public libraries during the 2020 COVID-19 Pandemic. Https://Doi.Org/10.1080/01616846.2020.1764325, 283–294. https://doi.org/10.108 0/01616846.2020.1764325 google scholar
  • Watt, R. G., & Sheiham, A. (2012). Integrating the common risk factor approach into a social determinants framework. Community Dent Oral Epidemiol, 40(4), 289–296. https://doi.org/10.1111/j.1600-0528.2012.00680.x google scholar
  • Weekes, J. (September 13, 2020). Coronavirus: Mt Roskill Evangelical fellowship leader speaks about church at centre of Auckland COVID-19 cluster. Retrieved from https://www.stuff.co.nz/national/health/ coronavirus/300106245/coronavirus-mt-roskill-evangelical-fellowship-leader-speaks-about-church-atcentre-of-auckland-covid19-cluster google scholar
  • Whitworth, J. (2020). COVID-19: A fast evolving pandemic. Transactions of the Royal Society of Tropical Medicine and Hygiene, 114(4), 241. https://doi.org/10.1093/TRSTMH/TRAA025 google scholar
  • Wise, T., Zbozinek, T. D., Michelini, G., Hagan, C. C., & Mobbs, D. (2020). Changes in risk perception and selfreported protective behaviour during the first week of the COVID-19 pandemic in the United States. Royal Society Open Science, 7(9), 200742. https://doi.org/10.1098/rsos.200742 google scholar
  • Yang, X. Y., Gong, R. N., Sassine, S., Morsa, M., Tchogna, A. S., Drouin, O., Chadi, N., & Jantchou, P. (2020). Risk perception of COVID-19 infection and adherence to preventive measures among adolescents and young adults. Children, 7(12), 311. https://doi.org/10.3390/children7120311 google scholar
  • Yang, H. L., Ying, C. P., & Lim, J. F. (2020). The Novel Coronavirus (SARS-CoV-2) Pandemic SARS-CoV-2 Pandemic-Li Yang Hsu et al. 49(3). https://doi.org/10.1001/jama.2020.2648 google scholar
  • Yemer, D. B., Yisak, H., Anidualem, D. M., Workie, M. B., Degie, W. G., Dawud, H. Y., & Kululo, N. W. (2021). Haobin Bruce Fan, Shanghai Academy of Social Sciences. Journal of Pharmaceutical Research International, 33(41B), 321–334. https://doi.org/10.9734/jpri/2021/v33i41B32372 google scholar
  • Zakar, R., Iqbal, S., Zakar, M. Z., & Fischer, F. (2021). COVID-19 and health information seeking behavior: Digital health literacy survey amongst university students in Pakistan. International Journal of Environmental Research and Public Health, 18(8), 4009. https://doi.org/10.3390/ijerph18084009 google scholar
  • Zhang, X., Wen, D., Liang, J., & Lei, J. (2017). How the public uses social media wechat to obtain health information in China: A survey study. BMC Medical Informatics and Decision Making, 17(2), 71–79. https://doi.org/10.1186/ S12911-017-0470-0/TABLES/6 google scholar
  • Zhang, Lei, Yusha Tao, Mingwang Shen, Christopher K. Fairley, and Yuming Guo. “Can self-imposed prevention measures mitigate the COVID-19 epidemic?” PLoS medicine 17, no. 7 (2020): e1003240. https://doi. org/10.1371/journal.pmed.1003240 google scholar
  • Zhao, Y., & Zhang, J. (2017). Consumer health information seeking in social media: A literature review. Health Information & Libraries Journal, 34(4), 268-283. google scholar
  • Zanin, M. G., Gentile, E., Parisi, A., & Spasiano, D. (2020). A preliminary evaluation of the public risk perception related to the COVID-19 health emergency in Italy. International journal of environmental research and public health, 17(9), 3024. google scholar

Atıflar

Biçimlendirilmiş bir atıfı kopyalayıp yapıştırın veya seçtiğiniz biçimde dışa aktarmak için seçeneklerden birini kullanın


DIŞA AKTAR



APA

Alı, Z.S., & Deswalş, J. (2023). Sosyal medyanın Covid-19 ve insanların önleyici davranışları hakkında bilgi arama amaçlı kullanımı: Aotearoa Yeni Zelanda’da pandemiyi yönetmek. Connectist: Istanbul University Journal of Communication Sciences, 0(64), 1-36. https://doi.org/10.26650/CONNECTIST2023-1023972


AMA

Alı Z S, Deswalş J. Sosyal medyanın Covid-19 ve insanların önleyici davranışları hakkında bilgi arama amaçlı kullanımı: Aotearoa Yeni Zelanda’da pandemiyi yönetmek. Connectist: Istanbul University Journal of Communication Sciences. 2023;0(64):1-36. https://doi.org/10.26650/CONNECTIST2023-1023972


ABNT

Alı, Z.S.; Deswalş, J. Sosyal medyanın Covid-19 ve insanların önleyici davranışları hakkında bilgi arama amaçlı kullanımı: Aotearoa Yeni Zelanda’da pandemiyi yönetmek. Connectist: Istanbul University Journal of Communication Sciences, [Publisher Location], v. 0, n. 64, p. 1-36, 2023.


Chicago: Author-Date Style

Alı, Zarqa Shaheen, and Jyoti Deswalş. 2023. “Sosyal medyanın Covid-19 ve insanların önleyici davranışları hakkında bilgi arama amaçlı kullanımı: Aotearoa Yeni Zelanda’da pandemiyi yönetmek.” Connectist: Istanbul University Journal of Communication Sciences 0, no. 64: 1-36. https://doi.org/10.26650/CONNECTIST2023-1023972


Chicago: Humanities Style

Alı, Zarqa Shaheen, and Jyoti Deswalş. Sosyal medyanın Covid-19 ve insanların önleyici davranışları hakkında bilgi arama amaçlı kullanımı: Aotearoa Yeni Zelanda’da pandemiyi yönetmek.” Connectist: Istanbul University Journal of Communication Sciences 0, no. 64 (Mar. 2024): 1-36. https://doi.org/10.26650/CONNECTIST2023-1023972


Harvard: Australian Style

Alı, ZS & Deswalş, J 2023, 'Sosyal medyanın Covid-19 ve insanların önleyici davranışları hakkında bilgi arama amaçlı kullanımı: Aotearoa Yeni Zelanda’da pandemiyi yönetmek', Connectist: Istanbul University Journal of Communication Sciences, vol. 0, no. 64, pp. 1-36, viewed 5 Mar. 2024, https://doi.org/10.26650/CONNECTIST2023-1023972


Harvard: Author-Date Style

Alı, Z.S. and Deswalş, J. (2023) ‘Sosyal medyanın Covid-19 ve insanların önleyici davranışları hakkında bilgi arama amaçlı kullanımı: Aotearoa Yeni Zelanda’da pandemiyi yönetmek’, Connectist: Istanbul University Journal of Communication Sciences, 0(64), pp. 1-36. https://doi.org/10.26650/CONNECTIST2023-1023972 (5 Mar. 2024).


MLA

Alı, Zarqa Shaheen, and Jyoti Deswalş. Sosyal medyanın Covid-19 ve insanların önleyici davranışları hakkında bilgi arama amaçlı kullanımı: Aotearoa Yeni Zelanda’da pandemiyi yönetmek.” Connectist: Istanbul University Journal of Communication Sciences, vol. 0, no. 64, 2023, pp. 1-36. [Database Container], https://doi.org/10.26650/CONNECTIST2023-1023972


Vancouver

Alı ZS, Deswalş J. Sosyal medyanın Covid-19 ve insanların önleyici davranışları hakkında bilgi arama amaçlı kullanımı: Aotearoa Yeni Zelanda’da pandemiyi yönetmek. Connectist: Istanbul University Journal of Communication Sciences [Internet]. 5 Mar. 2024 [cited 5 Mar. 2024];0(64):1-36. Available from: https://doi.org/10.26650/CONNECTIST2023-1023972 doi: 10.26650/CONNECTIST2023-1023972


ISNAD

Alı, ZarqaShaheen - Deswalş, Jyoti. Sosyal medyanın Covid-19 ve insanların önleyici davranışları hakkında bilgi arama amaçlı kullanımı: Aotearoa Yeni Zelanda’da pandemiyi yönetmek”. Connectist: Istanbul University Journal of Communication Sciences 0/64 (Mar. 2024): 1-36. https://doi.org/10.26650/CONNECTIST2023-1023972



ZAMAN ÇİZELGESİ


Kabul31.10.2022
Çevrimiçi Yayınlanma02.05.2023

LİSANS


Attribution-NonCommercial (CC BY-NC)

This license lets others remix, tweak, and build upon your work non-commercially, and although their new works must also acknowledge you and be non-commercial, they don’t have to license their derivative works on the same terms.


PAYLAŞ




İstanbul Üniversitesi Yayınları, uluslararası yayıncılık standartları ve etiğine uygun olarak, yüksek kalitede bilimsel dergi ve kitapların yayınlanmasıyla giderek artan bilimsel bilginin yayılmasına katkıda bulunmayı amaçlamaktadır. İstanbul Üniversitesi Yayınları açık erişimli, ticari olmayan, bilimsel yayıncılığı takip etmektedir.