The epidemiology of gonorrhoea in London: a Bayesian spatial modelling approach
| Autor: | RJ Harris, O. le Polain de Waroux, Gwenda Hughes, Paul Crook |
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| Rok vydání: | 2013 |
| Předmět: |
Adult
Male Gerontology medicine.medical_specialty Adolescent Epidemiology Models Biological Cohort Studies Gonorrhea Bayes' theorem symbols.namesake Public health surveillance London medicine Cluster Analysis Humans Public Health Surveillance Poisson regression Aged business.industry Incidence Population size Incidence (epidemiology) Bayes Theorem Middle Aged Original Papers Infectious Diseases Health promotion symbols Female business Demography Cohort study |
| Zdroj: | Epidemiol Infect |
| ISSN: | 1469-4409 0950-2688 |
| DOI: | 10.1017/s0950268813000745 |
| Popis: | SUMMARYData obtained from genitourinary medicine clinics through a comprehensive surveillance system were used in a Bayesian mixed-effects Poisson regression model to explore socio-demographic individual and ecological risk factors for gonorrhoea in London, as well as its spatial clustering. The spatial analysis was performed at the Middle-layer Super Output Area level (median population size 7200). A total of 12452 individuals were diagnosed during the 2-year study period (2009–2010). The study confirmed the presence of ‘core areas’ of high incidence, and identified ‘core’ high-risk groups, in particular young adults (16–29 years), males, black Caribbeans and more deprived areas. The individual (age, sex, ethnicity) and area-level (deprivation, teenage pregnancies, students) model covariates accounted for 48% of the variance. Most of the remaining variance was explained by the spatial effect, thus capturing other spatially distributed factors associated with gonorrhoea, such as local sexual networks. These findings will be useful in identifying areas for targeted interventions, such as STI testing and health promotion. |
| Databáze: | OpenAIRE |
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