Spatiotemporal clustering of in-hospital Clostridioides difficile infection

6Citations
Citations of this article
11Readers
Mendeley users who have this article in their library.
Get full text

Abstract

Objective: To determine whether Clostridioides difficile infection (CDI) exhibits spatiotemporal interaction and clustering.Design: Retrospective observational study.Setting: The University of Iowa Hospitals and Clinics.Patients: This study included 1,963 CDI cases, January 2005 through December 2011.Methods: We extracted location and time information for each case and ran the Knox, Mantel, and mean and maximum component size tests for time thresholds (T = 7, 14, and 21 days) and distance thresholds (D = 2, 3, 4, and 5 units; 1 unit = 5-6 m). All tests were implemented using Monte Carlo simulations, and random CDI cases were constructed by randomly permuting times of CDI cases 20,000 times. As a counterfactual, we repeated all tests on 790 aspiration pneumonia cases because aspiration pneumonia is a complication without environmental factors.Results: Results from the Knox test and mean component size test rejected the null hypothesis of no spatiotemporal interaction (P

Cite

CITATION STYLE

APA

Pai, S., Polgreen, P. M., Segre, A. M., Sewell, D. K., & Pemmaraju, S. V. (2020). Spatiotemporal clustering of in-hospital Clostridioides difficile infection. Infection Control and Hospital Epidemiology, 41(4), 418–424. https://doi.org/10.1017/ice.2019.350

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free