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Published on: March 1, 2019
Spatial distribution and determinants of childhood vaccination refusal in the United States
Bokgyeong Kang1, Sandra Goldlust2, Elizabeth C Lee3
1Department of Statistics, Pennsylvania State University, University Park 16802, PA, USA.
Insights
Parental vaccine refusal is rising, threatening herd immunity. This study identifies socio-demographic factors linked to childhood vaccine refusal, aiding targeted public health strategies to improve vaccination rates.
Area of Science:
- Public Health
- Epidemiology
- Biostatistics
Background:
- Childhood vaccination rates are declining in the US, increasing risks of vaccine-preventable diseases.
- Parental vaccine refusal and delayed vaccination challenge herd immunity.
- Understanding the drivers of vaccine refusal is crucial for public health interventions.
Purpose of the Study:
- To analyze US county-level childhood vaccine refusal data (2012-2015).
- To identify socio-demographic and political factors associated with vaccine refusal.
- To inform targeted strategies for improving vaccine uptake.
Main Methods:
- Utilized a Bayesian zero-inflated negative binomial regression model.
- Analyzed administrative healthcare data for patients under five years of age.
- Examined national fine-scale socio-demographic characteristics and spatial clustering.
Main Results:
- Identified specific socio-demographic characteristics linked to vaccine refusal nationally.
- Demonstrated that spatial clustering of vaccine refusal can be explained by these factors.
- Highlighted the influence of social and political processes on vaccine refusal.
Conclusions:
- Socio-demographic factors are key drivers of childhood vaccine refusal.
- Spatial patterns of vaccine refusal are linked to identifiable characteristics.
- Findings can guide the development of effective, targeted public health strategies to boost vaccination rates.
Abstract:
Parental refusal and delay of childhood vaccination has increased in recent years in the United States. This phenomenon challenges maintenance of herd immunity and increases the risk of outbreaks of vaccine-preventable diseases. We examine US county-level vaccine refusal for patients under five years of age collected during the period 2012-2015 from an administrative healthcare dataset. We model these data with a Bayesian zero-inflated negative binomial regression model to capture social and political processes that are associated with vaccine refusal, as well as factors that affect our measurement of vaccine refusal. Our work highlights fine-scale socio-demographic characteristics associated with vaccine refusal nationally, finds that spatial clustering in refusal can be explained by such factors, and has the potential to aid in the development of targeted public health strategies for optimizing vaccine uptake.
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