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Combining regression and association modelling for longitudinal data on bacterial carriage.
Anders Ekholm1, Jukka Jokinen, Terhi Kilpi
1Rolf Nevanlinna Institute, P.O. Box 4, FIN-00014 University of Helsinki, Finland.
Statistics in Medicine
|March 1, 2002
Summary
This study analyzed Streptococcus pneumoniae carriage in 329 Finnish children, finding that carriage status is conditionally independent of past statuses for susceptible individuals. The findings help assess carriage duration and acquisition rates in children.
Area of Science:
- Pediatrics
- Microbiology
- Epidemiology
Background:
- Streptococcus pneumoniae carriage is a significant factor in otitis media and other infections.
- Understanding carriage dynamics in young children is crucial for public health interventions.
Purpose of the Study:
- To analyze longitudinal carriage data of Streptococcus pneumoniae in Finnish children.
- To model the temporal associations of carriage status over time.
- To estimate key parameters like carriage duration and acquisition rates.
Main Methods:
- Analysis of a longitudinal dataset from the Finnish Otitis Media (FinOM) Studies involving 329 children.
- Application of a logistic regression model with time-varying explanatory variables.
- Utilizing dependence ratios to model temporal associations and Markov assumptions.
Main Results:
- Approximately 10% of children showed no susceptibility to Streptococcus pneumoniae.
- Carriage status was conditionally independent of past statuses for susceptible children.
- Dependence ratios decayed exponentially with age, indicating decreasing influence of past carriage.
Conclusions:
- The developed model accurately describes Streptococcus pneumoniae carriage dynamics in children.
- The study provides age-dependent estimates for median carriage duration and acquisition rates.
- Findings contribute to understanding pneumococcal epidemiology in early childhood.