2016
DOI: 10.1136/sextrans-2015-052306
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Identifying and interpreting spatiotemporal variation in diagnoses of infectious syphilis among men, England: 2009 to 2013

Abstract: Control of syphilis in endemic areas has proved elusive and clusters present unique intervention opportunities. Investigating the diversity of local epidemics provides information that can be used to predict outbreak structure, plan and evaluate sexual health services and guide public health investigation, hypothesis generation and research.

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Cited by 9 publications
(17 citation statements)
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“…Newer epidemiological methods such as space-time clustering have been used to investigate syphilis epidemiology in the UK and the Netherlands. These identified previously undetected outbreaks among HIV-positive and HIV-negative MSM [ 15 , 43 ]. Such analyses could support syphilis control, management and guide public health interventions.…”
Section: Outbreaksmentioning
confidence: 99%
“…Newer epidemiological methods such as space-time clustering have been used to investigate syphilis epidemiology in the UK and the Netherlands. These identified previously undetected outbreaks among HIV-positive and HIV-negative MSM [ 15 , 43 ]. Such analyses could support syphilis control, management and guide public health interventions.…”
Section: Outbreaksmentioning
confidence: 99%
“…Data were obtained from reports of CS made to Public Health England (PHE) National Infection Service; diagnoses of infectious syphilis reported to the genitourinary medicine clinic activity dataset (GUMCAD) sexually transmitted infections (STI) surveillance system, and mid-year population estimates for England [ 4 , 5 ]. Three analyses were undertaken: simulation modelling with 100,000 simulations based on a Poisson distribution of CS cases reported since 2010; time-series analyses (TSA) were used to identify exceedances in ST-syphilis case-frequencies by sex, sexual orientation and area for the period from January 2011 to September 2016 [ 6 ]. The 152 English upper-tier local authorities (LA) were categorised into one of following syphilis epidemiological areas (SEA): (i) incident areas: LAs where the mothers of the CS cases lived; (ii) endemic areas: LAs with established spatiotemporal clusters of ST-syphilis in men [ 6 ]; (iii) rest of England: all other LAs in England.…”
Section: Data Sources and Analysesmentioning
confidence: 99%
“…Three analyses were undertaken: simulation modelling with 100,000 simulations based on a Poisson distribution of CS cases reported since 2010; time-series analyses (TSA) were used to identify exceedances in ST-syphilis case-frequencies by sex, sexual orientation and area for the period from January 2011 to September 2016 [ 6 ]. The 152 English upper-tier local authorities (LA) were categorised into one of following syphilis epidemiological areas (SEA): (i) incident areas: LAs where the mothers of the CS cases lived; (ii) endemic areas: LAs with established spatiotemporal clusters of ST-syphilis in men [ 6 ]; (iii) rest of England: all other LAs in England.…”
Section: Data Sources and Analysesmentioning
confidence: 99%
“…Endemic areas consisted of MSOAs that had a high diagnosis rate for every six month period in 2012 and 2013. To avoid large endemic areas masking small clusters a two-stage procedure was used [ 21 ]. After endemic areas had been excluded, potential clusters were identified using a retrospective spatial-temporal SaTScan analysis ( S1 Text ) [ 22 ].…”
Section: Methodsmentioning
confidence: 99%
“…Potential clusters were detected at the 95% confidence level and a discrete Poisson model was used to adjust for age, gender, ethnicity, and IMD rank. Population weighted centroids for each MSOA were used to identify clusters containing up to 1% of the population instead of the SaTScan 50% default setting [ 21 ]. Data for MSOAs contained within a cluster were aggregated.…”
Section: Methodsmentioning
confidence: 99%