Investigating spatial variation and change (2006–2017) in childhood immunisation coverage in New Zealand

Marek, Lukáš; Hobbs, Matthew; McCarthy, John P.; Wiki, Jesse; Tomintz, Melanie; Campbell, Malcolm; Kingham, Simon

doi:10.1016/j.socscimed.2020.113292

Cited by 18 publications

(9 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Specifically, that spatial variation remains even when socioeconomic deprivation, demographic variables, health service accessibility, and urban/rural classifications are controlled for. Higher immunisation rates were associated with less socioeconomically deprived areas and the rates of Ambulatory Sensitive Hospital admissions of children (0-4 years) are lower in areas with higher immunisation rates (Marek et al, 2020). Moreover, recent evidence from NZ suggests there are structural, economic and cultural barriers to immunisation (Walker et al, 2019) and healthcare access in general (Hobbs et al, 2019b).…”

Section: Collaborative Partnerships In New Zealandmentioning

confidence: 99%

Progress Towards Using Linked Population-Based Data For Geohealth Research: Comparisons Of Aotearoa New Zealand And The United Kingdom

Oldroyd

Hobbs

Campbell

et al. 2021

Appl. Spatial Analysis

View full text Add to dashboard Cite

Globally, geospatial concepts are becoming increasingly important in epidemiological and public health research. Individual level linked population-based data afford researchers with opportunities to undertake complex analyses unrivalled by other sources. However, there are significant challenges associated with using such data for impactful geohealth research. Issues range from extracting, linking and anonymising data, to the translation of findings into policy whilst working to often conflicting agendas of government and academia. Innovative organisational partnerships are therefore central to effective data use. To extend and develop existing collaborations between the institutions, in June 2019, authors from the Leeds Institute for Data Analytics and the Alan Turing Institute, London, visited the Geohealth Laboratory based at the University of Canterbury, New Zealand. This paper provides an overview of insight shared during a two-day workshop considering aspects of linked population-based data for impactful geohealth research. Specifically, we discuss both the collaborative partnership between New Zealand’s Ministry of Health (MoH) and the University of Canterbury’s GeoHealth Lab and novel infrastructure, and commercial partnerships enabled through the Leeds Institute for Data Analytics and the Alan Turing Institute in the UK. We consider the New Zealand Integrated Data Infrastructure as a case study approach to population-based linked health data and compare similar approaches taken by the UK towards integrated data infrastructures, including the ESRC Big Data Network centres, the UK Biobank, and longitudinal cohorts. We reflect on and compare the geohealth landscapes in New Zealand and the UK to set out recommendations and considerations for this rapidly evolving discipline.

show abstract

Section: Collaborative Partnerships In New Zealandmentioning

confidence: 99%

Progress Towards Using Linked Population-Based Data For Geohealth Research: Comparisons Of Aotearoa New Zealand And The United Kingdom

Oldroyd

Hobbs

Campbell

et al. 2021

Appl. Spatial Analysis

View full text Add to dashboard Cite

show abstract

“…These patterns are cause for greater concern, especially among Māori and Pacific, who face higher risks from COVID-19 disease, 13 and which are situated within the context of broader preexisting patterns of inequitable access to health care and in health outcomes generally, [14][15][16][17] and in vaccination coverage, specifically. 18,19 Reasons for COVID-19 vaccine hesitancy most often included concerns around the vaccine's safety and potential side effects. 11 Given increases in misinformation and conspiracy theories regarding COVID-19 vaccination in recent months 20 and a majority of New Zealanders indicating they get some information about COVID-19 vaccine from social media 11 -an environment full of conspiracy theories-it is important to gauge how these hesitancy rates may have changed leading up to vaccine roll-out, and therefore, how the strategy must adapt to support the COVID-19 elimination strategy and avoid exacerbating health inequities.…”

Section: Implications Of All the Available Evidencementioning

confidence: 99%

COVID-19 Vaccine Hesitancy and Acceptance in a Cohort of Diverse New Zealanders

2021

View full text Add to dashboard Cite

Background: New Zealand's Immunisation Programme is an important pillar in the war against COVID-19, making high vaccine uptake essential. This study sought to: (1) identify potential vaccine uptake rates among New Zealanders prior to programme rollout; (2) understand reasons for unlikelihood/likelihood of vaccine uptake; and, (3) explore sociodemographic differences in these risks.Methods: Data came from a longitudinal study representing a diverse sample of New Zealanders collected in March 2021 (n=1,284). Multinomial and logit regressions were estimated to examine sociodemographic predictors of vaccine hesitancy and reasons for likelihood/hesitancy. Findings: 70% reported they would likely take the vaccine once available. Being younger and less educated were correlated with greater vaccine hesitancy risk. Women were more likely than men to say they were unsure (vs. either likely or unlikely) and to identify concerns regarding personal health, such as potential side effects, as a reason. Men identified concerns surrounding trust in vaccines and the perceived exaggerated risk of COVID-19 to them and the population.Interpretation: Although a majority intend to take the COVID-19 vaccine once available, a sizeable minority who are more likely to be young, female, and less educated, are unsure about or unlikely to get the vaccine, primarily due to perceptions of unknown future side effects. Ethnicity was not statistically associated with vaccine hesitancy, suggesting that public health efforts aimed at increasing vaccine acceptance among Māori and Pacific peoples-subgroups most at-risk of COVID-19 infection and morbidity-should focus on inequities in health care access to increase uptake.Funding: n/a. Research in contextEvidence before this study: While an extant amount of survey data and literature exists to monitor the COVID-19 vaccine rollout and vaccine hesitancy in developed countries that are most impacted by the COVID-19 pandemic, there appears scant evidence on potential vaccine uptake in New Zealand-a country that had yet to make vaccines available to the general population and where there was minimal community transmission of the virus.

show abstract

“…Infectious diseases are emerging and re-emerging at a rate not seen before. 1 Considered alongside declining vaccination coverage, 2 increasing antimicrobial resistance 3 and inequity 4 these present some of the greatest challenges of the 21 st century. The current COVID-19 infectious disease pandemic has restricted usual activities such as immunisation programmes and routine hospital care in many countries across the globe.…”

Section: Introductionmentioning

confidence: 99%

Investigating the transmission risk of infectious disease outbreaks through the Aotearoa Co-incidence Network (ACN): a population-based study

Turnbull

Hobbs

Gray

et al. 2022

The Lancet Regional Health - Western Pacific

View full text Add to dashboard Cite

Background The emergence and re-emergence of infectious diseases presents a significant challenge to public health and broader society. This study utilises novel nationwide data to calculate the transmission risk and potential inequity of infectious disease outbreaks through use of network analysis.Methods Nationwide employment and education microdata (»4.7 million individuals in Aotearoa New Zealand) were used to develop the Aotearoa Co-incidence Network (ACN). The ACN considers connections generated when individuals are employed at the same workplaces or enrolled at the same schools. Through forms of network analysis, connections between geospatial areas can be established and provide proxy measures of infectious disease transmission risk. The ACN was also overlayed with nationwide population vulnerability data based on the number of older adults (>65 years) and individuals with long-term health conditions.Findings We identify areas that have both high potential transmission risk (i.e., highly connected) and high vulnerability to infectious diseases. Community detection identified geographic boundaries that can be relevant to the application of regional restrictions for limiting infectious disease transmission.Interpretation Integrating novel network science and geospatial analytics provides a simple way to study infectious disease transmission risk and population vulnerability to outbreaks. Our replicable method has utility for researchers globally with access to such data. It can help inform equitable preparation for, and responses to infectious disease outbreaks.

show abstract

Investigating spatial variation and change (2006–2017) in childhood immunisation coverage in New Zealand

Cited by 18 publications

References 20 publications

Progress Towards Using Linked Population-Based Data For Geohealth Research: Comparisons Of Aotearoa New Zealand And The United Kingdom

Progress Towards Using Linked Population-Based Data For Geohealth Research: Comparisons Of Aotearoa New Zealand And The United Kingdom

COVID-19 Vaccine Hesitancy and Acceptance in a Cohort of Diverse New Zealanders

Investigating the transmission risk of infectious disease outbreaks through the Aotearoa Co-incidence Network (ACN): a population-based study

Contact Info

Product

Resources

About