Cargando…
Sample size considerations using mathematical models: an example with Chlamydia trachomatis infection and its sequelae pelvic inflammatory disease
BACKGROUND: The success of an intervention to prevent the complications of an infection is influenced by the natural history of the infection. Assumptions about the temporal relationship between infection and the development of sequelae can affect the predicted effect size of an intervention and the...
Autores principales: | Herzog, Sereina A, Low, Nicola, Berghold, Andrea |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4472252/ https://www.ncbi.nlm.nih.gov/pubmed/26084755 http://dx.doi.org/10.1186/s12879-015-0953-5 |
Ejemplares similares
-
Timing of progression from Chlamydia trachomatis infection to pelvic inflammatory disease: a mathematical modelling study
por: Herzog, Sereina A, et al.
Publicado: (2012) -
Individual and Population Level Effects of Partner Notification for Chlamydia trachomatis
por: Althaus, Christian L., et al.
Publicado: (2012) -
The Role of Chlamydia trachomatis Polymorphic Membrane Proteins in Inflammation and Sequelae among Women with Pelvic Inflammatory Disease
por: Taylor, Brandie D., et al.
Publicado: (2011) -
Rise and fall of the new variant of Chlamydia trachomatis in Sweden: mathematical modelling study
por: Smid, Joost H, et al.
Publicado: (2020) -
Nonhuman Primate Models Used to Study Pelvic Inflammatory Disease Caused by Chlamydia trachomatis
por: Bell, Jason D., et al.
Publicado: (2011)