ArticlePloS one2022
Compliance with Covid-19 measures: Evidence from New Zealand.
Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Adherence to infection prevention measures and vaccine uptake among pregnant women and new mothers in Sweden during the COVID-19 pandemic.BMC public health · 2026Article
- Convergence and diversity: how collective risk perception shapes public compliance behaviour - a case study of China's Covid-19 response.Health research policy and systems · 2025Article
- Epidemiology of childhood bone and joint disease during the COVID-19 pandemic in New Zealand.Infection · 2025Article
- Performing publics of science in the COVID-19 pandemic: A qualitative study in Austria, Bolivia, Germany, Italy, Mexico, and Portugal.Public understanding of science (Bristol, England) · 2024Article
- Risk perception, compliance with COVID-19 measures, and the role of social media after China's lockdown lift.Heliyon · 2024Article
- In the COVID-19 pandemic, who did we trust? An eight-country cross-sectional study.Journal of global health · 2023Article
- Social Environment and Attitudes toward COVID-19 Anti-Contagious Measures: An Explorative Study from Italy.International journal of environmental research and public health · 2023Article
- Risk factors of orphan and vulnerable children in a children's home during the COVID-19 pandemic.Children and youth services review · 2023Article
- Contributions of Industry 4.0 to resilience achievement in the context of COVID-19 pandemic.IFAC-PapersOnLine · 2022Article
- Analysing COVID-19 outcomes in the context of the 2019 Global Health Security (GHS) Index.BMJ global health · 2021Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Governments around the world are seeking to slow the spread of Covid-19 by implementing measures that encourage, or mandate, changes in people's behaviour. These changes include the wearing of face masks, social distancing, and testing and self-isolating when unwell. The success of these measures depends on the commitment of individuals to change their behaviour accordingly. Understanding and predicting the motivation of individuals to change their behaviour is therefore critical in assessing the likely effectiveness of these measures in slowing the spread of the virus. In this paper we draw on a novel framework, the I3 Compliance Response Framework, to understand and predict the motivation of residents in Auckland, New Zealand, to comply with measures to prevent the spread of Covid-19. The Framework is based on two concepts. The first uses the involvement construct to predict the motivation of individuals to comply. The second separates the influence of the policy measure from the influence of the policy outcome on the motivation of individuals to comply. In short, the Framework differentiates between the strength of individuals' motivation and their beliefs about the advantages and disadvantages of policy outcomes and policy measures. We found this differentiation was useful in predicting an individual's possible behavioural responses to a measure and discuss how it could assist government agencies to develop strategies to enhance compliance.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.