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

Abstract

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.

Keywords

• Sosyal medya
• bilgi arama
• COVID-19
• önleyici davranış
• pandemi

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

Abstract

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.

Keywords

• Social media
• information seeking
• COVID-19
• preventive behaviour
• pandemic

References

1. 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
2. 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
3. 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
4. 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
5. 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
6. 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
7. 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
8. 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

9. 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
10. 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
11. 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
12. Burki, T. (2021). Understanding variants of SARS-CoV-2. The Lancet, 397(10273), 462. google scholar
13. 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
14. 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
15. 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
16. 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
17. 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
18. 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
19. 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
20. 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
21. 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
22. Dadaczynski K, Okan O, Messer M, Leung A, Rosário R, Darlington E, Rathmann K (2021). google scholar
23. 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
24. 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
25. 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
26. 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
27. D’Souza, R. S., D’Souza, S., Strand, N., Anderson, A., Vogt, M. N., & Olatoye, O. (2020). google scholar
28. 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
29. 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
30. 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
31. 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
32. 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
33. 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
34. 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
35. 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
36. 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
37. 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
38. 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
39. 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
40. 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
41. 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
42. 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
43. 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
44. 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
45. Hinton, T. (2021). NZ: social media penetration 2021. Tatista. https://www.statista.com/statistics/680698/newzealand-social-media-penetration. google scholar
46. 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
47. Hunter, P. (2020). The spread of the COVID-19 coronavirus. EMBO Reports, 21(4), e50334. https://doi.org/10.15252/ EMBR.202050334 google scholar
48. 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
49. 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
50. 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
51. 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
52. 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
53. 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
54. 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
55. 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
56. 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
57. 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
58. Lambert, S. D., & Loiselle, C. G. (2007). Health information—seeking behavior. Qualitative health research, 17(8), 1006-1019. google scholar
59. 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
60. 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
61. 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
62. 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
63. 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
64. 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
65. 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
66. 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
67. 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
68. 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
69. 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
70. 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
71. 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
72. 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
73. 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
74. 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
75. NZ Government (n.d.). Unite against COVID-19. Retrieved from https://covid19.govt.nz google scholar
76. 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
77. 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
78. 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
79. 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
80. 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
81. 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
82. 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
83. 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
84. 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
85. 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
86. Robson, A., & Robinson, L. (2013). Building on models of information behaviour: Linking information seeking and communication. Journal of documentation. google scholar
87. 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
88. 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
89. 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
90. Saxena, S. K. (2020). Coronavirus Disease 2019 (COVID-19): Epidemiology, pathogenesis, diagnosis, and therapeutics. Germany: Springer Singapore. google scholar
91. 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
92. 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
93. 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
94. Stats, NZ (2020). Retrieved from https://www.stats.govt.nz/topics/population google scholar
95. 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
96. 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
97. 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
98. 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
99. 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
100. 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
101. 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
102. 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
103. 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
104. 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
105. 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
106. 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
107. 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
108. 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
109. 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
110. 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
111. 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
112. 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
113. 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