Measuring the missing: Knowledge, risk perceptions and self-protection practices of COVID-19 among the Asian population in New Zealand: An online survey.

Asians COVID-19 pandemic New Zealand Risk perceptions self-protection practices

Journal

Zeitschrift fur Gesundheitswissenschaften = Journal of public health
ISSN: 2198-1833
Titre abrégé: Z Gesundh Wiss
Pays: Germany
ID NLM: 9425271

Informations de publication

Date de publication:
18 May 2023
Historique:
received: 11 01 2023
accepted: 28 04 2023
pubmed: 26 6 2023
medline: 26 6 2023
entrez: 26 6 2023
Statut: aheadofprint

Résumé

Asians are the second largest and fastest growing non-European population in New Zealand but are under-researched in terms of their COVID-19 pandemic response. The paper aims to illustrates Asians' risk perceptions and knowledge of COVID-19, and self-protection practices to avoid infection and prevent community transmission. An online survey was used to collect data and received 402 valid responses. Data analyses included: 1) a descriptive analysis by using The descriptive analysis of the survey found that while ethnicity (within the Asian category) was the most influential variable that resulted in varying responses to many questions, gender and age were other two important variables in influencing the answering patterns. The correlation analysis found a positive correlation between the perceived 'dangerousness' of COVID-19 and respondents' overall compliance behaviour to New Zealand authorities' recommendations to prevent spread of COVID-19. The majority of the respondents provided correct answers to the questions about the vulnerable populations, symptoms, asymptomatic transmission and potential sequelae of COVID-19; however, their understanding of the availability of a cure for, and the incubation period of COVID-19 was not consistent with the official information. The research also found that the higher perceived dangerousness of COVID-19, the better compliance to self-protection practices among the surveyed population.

Identifiants

pubmed: 37361274
doi: 10.1007/s10389-023-01926-0
pii: 1926
pmc: PMC10193356
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1-18

Informations de copyright

© The Author(s) 2023.

Déclaration de conflit d'intérêts

Conflict of interestThe authors have no relevant financial or non-financial conflict of interests to disclose. Submission declaration and verification: The work has not published previously and submitted to any other journal.

Auteurs

Liangni Sally Liu (LS)

School of Humanities, Media and Creative Communication, Massey University, Auckland, New Zealand.

Xiaoyun Jia (X)

Institute of Governance & School of Politics and Public Administration, Shandong University, Qingdao, China.

Andrew Zhu (A)

Trace Research Ltd, Auckland, New Zealand.

Guanyu Jason Ran (GJ)

School of Applied Sciences, Edinburgh Napier University, Edinburgh, UK.

David Johnston (D)

Joint Centre for Disaster Research, Massey University, Wellington, New Zealand.

Richard Siegert (R)

Department of Psychology & Neuroscience, School of Clinical Sciences, Auckland University of Technology, Auckland, New Zealand.

Yuan Gong (Y)

School of Humanities, Media and Creative Communication, Massey University, Auckland, New Zealand.

Nigel French (N)

Infectious Diseases Research Centre, Hopkirk Research Institute, Massey University, Palmerston North, New Zealand.

Jun Lu (J)

Auckland Bioengineering Institute, The University of Auckland, Auckland, New Zealand.

Classifications MeSH