How do childhood diagnoses of type 1 diabetes cluster in time?

Previous studies have indicated that type 1 diabetes may have an infectious origin. The presence of temporal clustering-an irregular temporal distribution of cases--would provide additional evidence that occurrence may be linked with an agent that displays epidemicity. We tested for the presence and...

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Bibliographic Details
Published in:PloS one 2013-04, Vol.8 (4), p.e60489-e60489
Main Authors: Muirhead, Colin R, Cheetham, Timothy D, Court, Simon, Begon, Michael, McNally, Richard J Q
Format: Article
Language:English
Subjects:
Adolescent
Annual variations
Biology
Child
Child, Preschool
Childhood
Children
Cluster Analysis
Clustering
Data processing
Diabetes
Diabetes mellitus
Diabetes Mellitus, Type 1 - diagnosis
Diabetes Mellitus, Type 1 - epidemiology
Diagnosis
England - epidemiology
Environmental health
Epidemics
Epidemiology
Female
Guillain-Barre syndrome
Humans
Hypotheses
Infant
Infections
Infectious diseases
Male
Mathematics
Medical diagnosis
Medical research
Medicine
Models, Statistical
Patients
Poisson Distribution
Prevalence studies (Epidemiology)
Reagents
Seasonal variations
Space-Time Clustering
Spacetime
Statistical analysis
Statistical methods
Systematic review
Temporal distribution
Type 1 diabetes
Viral infections
Zoonoses
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Summary:Previous studies have indicated that type 1 diabetes may have an infectious origin. The presence of temporal clustering-an irregular temporal distribution of cases--would provide additional evidence that occurrence may be linked with an agent that displays epidemicity. We tested for the presence and form of temporal clustering using population- based data from northeast England. The study analysed data on children aged 0-14 years diagnosed with type 1 diabetes during the period 1990-2007 and resident in a defined geographical region of northeast England (Northumberland, Newcastle upon Tyne, and North Tyneside). Tests for temporal clustering by time of diagnosis were applied using a modified version of the Potthoff-Whittinghill method. The study analysed 468 cases of children diagnosed with type 1 diabetes. There was highly statistically significant evidence of temporal clustering over periods of a few months and over longer time intervals (p
ISSN:1932-6203
1932-6203
DOI:10.1371/journal.pone.0060489