ArticleEpidemiology and infection2014
The epidemiology of gonorrhoea in London: a Bayesian spatial modelling approach.
Article in Epidemiology and infection, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Trial
- Article
- Trends and regional variations of gonococcal antimicrobial resistance in the Netherlands, 2013 to 2019.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2022Article
- Article
- Exploring spatially varying demographic associations with gonorrhea incidence in Baltimore, Maryland, 2002-2005.Journal of geographical systems · 2020Article
- Article
- Assessing local chlamydia screening performance by combining survey and administrative data to account for differences in local population characteristics.Scientific reports · 2019Article
- Article
- Observational
- Spatial clusters of gonorrhoea in England with particular reference to the outcome of partner notification: 2012 and 2013.PloS one · 2018Article
- Article
- Influence of Detection Method and Study Area Scale on Syphilis Cluster Identification in North Carolina.Sexually transmitted diseases · 2016Article
- Article
- Inequalities in the incidence of infectious disease in the North East of England: a population-based study.Epidemiology and infection · 2015Article
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4 authors.
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Abstract
Data 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.
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