Journal article
Multilevel analysis of infectious diseases
The Journal of infectious diseases, v 191 Suppl 1(Supplement-1), pp S25-S33
01 Feb 2005
PMID: 15627228
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Traditional study designs, such as individual-level studies and ecological studies, are unable to simultaneously examine the effects of individual-level and group-level factors on risk of disease. Multilevel analysis overcomes this limitation by allowing the simultaneous investigation of factors defined at multiple levels. Areas in which multilevel modeling can be applied to sexually transmitted infection (STI) research include examining how both group-level and individual-level factors are related to individual-level STI outcomes, assessing interactions between individual-level and group-level constructs, and exploring how factors at multiple levels contribute to group-to-group differences in rates of disease. In this article, we review the fundamentals of multilevel modeling, the applications of multilevel models for the examination of STIs, and the key challenges associated with using multilevel modeling for infectious-disease research.
Metrics
Details
- Title
- Multilevel analysis of infectious diseases
- Creators
- Ana V Diez Roux (Corresponding Author) - University of MichiganAllison E Aiello - University of Michigan
- Publication Details
- The Journal of infectious diseases, v 191 Suppl 1(Supplement-1), pp S25-S33
- Publisher
- Oxford University Press
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Urban Health Collaborative; Epidemiology and Biostatistics
- Web of Science ID
- WOS:000226132300003
- Scopus ID
- 2-s2.0-12444270045
- Other Identifier
- 991020100054004721
UN Sustainable Development Goals (SDGs)
This publication has contributed to the advancement of the following goals:
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Immunology
- Infectious Diseases
- Microbiology