A 24-year exploratory spatial data analysis of Lyme disease incidence rate in Connecticut, USA

Submitted: 26 May 2017
Accepted: 1 August 2017
Published: 8 November 2017
Abstract Views: 2459
PDF: 999
HTML: 978
Publisher's note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

Authors

Despite efforts to control Lyme disease in Connecticut, USA, it remains endemic in many towns, posing a heavy burden. We examined changes in the spatial distribution of significant spatial clusters of Lyme disease incidence rates at the town level from 1991 to 2014 as an approach for targeted interventions. Lyme disease data were grouped into four discrete time periods and incidence rates were smoothed with Empirical Bayes estimation in GeoDa. Local clustering was measured using a local indicator of spatial autocorrelation (LISA). Elliptic spatial scan statistics (SSS) in different shapes and directions were also performed in SaTScan. The accuracy of these two cluster detection methods was assessed and compared for sensitivity, specificity, and overall accuracy. There was significant clustering during each period and significant clusters persisted predominantly in western and eastern parts of the state. Generally, the SSS method was more sensitive, while LISA was more specific with higher overall accuracy in identifying clusters. Even though the location of clusters changed over time, some towns were persistently (across all four periods) identified as clusters in LISA and their neighbouring towns (three of four periods) in SSS suggesting these regions should be prioritized for targeted interventions.

Dimensions

Altmetric

PlumX Metrics

Downloads

Download data is not yet available.

Citations

How to Cite

Mollalo, A., Blackburn, J. K., Morris, L. R., & Glass, G. E. (2017). A 24-year exploratory spatial data analysis of Lyme disease incidence rate in Connecticut, USA. Geospatial Health, 12(2). https://doi.org/10.4081/gh.2017.588

List of Cited By :

Crossref logo

Similar Articles

You may also start an advanced similarity search for this article.