Using Spatial Analysis to Inform Community Immunization Strategies:

Biomedical Informatics Insights

Moises EMaravi¹ 

关键词: Spatial Analysis;    Autocorrelation;    Pertussis;    Immunization;   

DOI  :  10.1177/1178222617700626

学科分类：医学（综合）

来源: Sage Journals

【 摘 要 】

Introduction:Recent pertussis outbreaks in the United States suggest our response to local disease outbreaks (eg, vaccine-preventable Bordetella pertussis) may benefit from understanding and applying spatial analytical methods that use data from immunization information systems at a subcounty level.Methods:A 2012 study on Denver, CO, residents less than 19 years of age confirmed pertussis cases and immunization information system records were geocoded and aggregated to the census tract (CT) level. An algorithm assessed whether individuals were up-to-date (UTD) for pertussis vaccines. Pearson, Spearman, and Kendall correlations assessed relations between disease incidence and pertussis vaccine coverage. Using spatial analysis software, disease incidence and UTD rates were spatially weighted, and smoothed. Global and local autocorrelations based on univariate Moran’s I spatial autocorrelation statistics evaluated whether a CT’s rate belong to a cluster based on incidence or UTD measures.Results:Overall dise...

【 授权许可】

CC BY