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2008 年至 2017 年密歇根州疫苗豁免聚集模式的地理热点分析。

Geographic hot spot analysis of vaccine exemption clustering patterns in Michigan from 2008 to 2017.

机构信息

College of Health and Human Services, 1903 West Michigan Ave, Western Michigan University, Kalamazoo, MI 49008, United States.

Michigan Department of Health and Human Service (MDHHS), Division of Immunizations Lansing, MI 48909, United States.

出版信息

Vaccine. 2020 Dec 3;38(51):8116-8120. doi: 10.1016/j.vaccine.2020.10.091. Epub 2020 Nov 12.

Abstract

OBJECTIVE

This study explored vaccine exemption clustering in Michigan and examined whether vaccine exemptions clustered by exemption type (medical, religious, and philosophical). Furthermore, the study investigated whether Michigan's nonmedical vaccine exemption policy change had an impact on type-specific vaccine exemption clusters following its implementation.

METHODS

The study used the ArcGIS optimized hot spot analysis tool to visually examine vaccine exemption clustering by type in Michigan. The study analyzed secondary kindergarten vaccine exemption data from 2301 elementary school buildings in Michigan for years spanning 2008 to 2015 and 2016 to 2017 post policy change.

RESULTS

Clustering of vaccine exemptions by type was present both before and after implementation of the policy with fewer statistically significant features and differences regarding the distribution of hot spot clusters following the policy change.

CONCLUSION

Considering the heterogeneity in vaccine exemption hot spot clustering by type can help to inform public health officials to areas/communities at high risk for vaccine preventable disease outbreaks. Such analysis can allow for the implementation of vaccine exemption interventions that are exemption type specific and tailored for a given area, thus maximizing impact and making best use of limited public health resources. This analysis was also able to showcase the impact of Michigan's nonmedical vaccine exemption policy on vaccine exemption hot spot clusters.

摘要

目的

本研究探讨了密歇根州疫苗豁免的聚集现象,并检验了疫苗豁免是否按豁免类型(医学、宗教和哲学)聚集。此外,本研究还调查了密歇根州非医学疫苗豁免政策变更实施后,对特定类型疫苗豁免聚集的影响。

方法

本研究使用 ArcGIS 优化的热点分析工具,直观地考察密歇根州按类型划分的疫苗豁免聚集情况。本研究分析了密歇根州 2301 所小学的幼儿园疫苗豁免数据,时间跨度为 2008 年至 2015 年和政策变更后的 2016 年至 2017 年。

结果

在实施该政策前后,均存在疫苗豁免类型的聚集现象,但在政策变更后,热点集群的分布具有较少的统计学显著特征和差异。

结论

考虑到疫苗豁免热点集群的异质性,有助于向高疫苗可预防疾病爆发风险的地区/社区的公共卫生官员提供信息。这种分析可以为特定地区实施豁免类型特定的疫苗豁免干预措施,并进行相应调整,从而最大限度地发挥影响,充分利用有限的公共卫生资源。本分析还展示了密歇根州非医学疫苗豁免政策对疫苗豁免热点集群的影响。

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