Spatial-Temporal Epidemiology of the Syphilis Epidemic in Relation to Neighborhood-Level Structural Factors in British Columbia, 2005-2016.


Journal

Sexually transmitted diseases
ISSN: 1537-4521
Titre abrégé: Sex Transm Dis
Pays: United States
ID NLM: 7705941

Informations de publication

Date de publication:
09 2019
Historique:
pubmed: 2 7 2019
medline: 27 6 2020
entrez: 2 7 2019
Statut: ppublish

Résumé

Spatial clusters of syphilis have been observed within several jurisdictions globally; however, the degree to which they are predicted by the spatial distributions of gay, bisexual, and other men who have sex with men (GBM) and testing remains unknown. We sought to describe the spatial-temporal epidemiology of infectious syphilis and identify associations between neighborhood-level factors and rates of syphilis, in British Columbia, Canada. We used ArcGIS to map infectious syphilis cases among men (2005 to 2016), SaTScan to detect areas with significantly elevated rates of syphilis, and spatial regression to identify associations between neighborhood-level factors and rates of syphilis. Five clusters were identified: a core in downtown Vancouver (incidence rate ratio [IRR], 18.0; 2007-2016), 2 clusters adjacent to the core (IRR, 3.3; 2012-2016; and IRR, 2.2; 2013-2016), 1 cluster east of Vancouver (IRR, 2.1; 2013-2016), and 1 cluster in Victoria (IRR, 4.3; 2015-2016). Epidemic curves were synchronized across cluster and noncluster regions. Neighborhood-level GBM population estimates and testing rates were both associated with syphilis rates; however, the spatial distribution of syphilis was not fully explained by either of these factors. We identified two novel ecologic correlates of the spatial distribution of infectious syphilis-density of GBM and rates of syphilis testing-and found that these factors partially, though not entirely, explained the spatial distribution of clusters. Residual spatial autocorrelation suggests that greater syphilis testing coverage may be needed and low-barrier GBM-affirming testing should be expanded to regions outside the core.

Sections du résumé

BACKGROUND
Spatial clusters of syphilis have been observed within several jurisdictions globally; however, the degree to which they are predicted by the spatial distributions of gay, bisexual, and other men who have sex with men (GBM) and testing remains unknown. We sought to describe the spatial-temporal epidemiology of infectious syphilis and identify associations between neighborhood-level factors and rates of syphilis, in British Columbia, Canada.
METHODS
We used ArcGIS to map infectious syphilis cases among men (2005 to 2016), SaTScan to detect areas with significantly elevated rates of syphilis, and spatial regression to identify associations between neighborhood-level factors and rates of syphilis.
RESULTS
Five clusters were identified: a core in downtown Vancouver (incidence rate ratio [IRR], 18.0; 2007-2016), 2 clusters adjacent to the core (IRR, 3.3; 2012-2016; and IRR, 2.2; 2013-2016), 1 cluster east of Vancouver (IRR, 2.1; 2013-2016), and 1 cluster in Victoria (IRR, 4.3; 2015-2016). Epidemic curves were synchronized across cluster and noncluster regions. Neighborhood-level GBM population estimates and testing rates were both associated with syphilis rates; however, the spatial distribution of syphilis was not fully explained by either of these factors.
CONCLUSIONS
We identified two novel ecologic correlates of the spatial distribution of infectious syphilis-density of GBM and rates of syphilis testing-and found that these factors partially, though not entirely, explained the spatial distribution of clusters. Residual spatial autocorrelation suggests that greater syphilis testing coverage may be needed and low-barrier GBM-affirming testing should be expanded to regions outside the core.

Identifiants

pubmed: 31259854
doi: 10.1097/OLQ.0000000000001034
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

571-578

Auteurs

Travis Salway (T)

From the School of Population and Public Health, Department of Pathology and Laboratory Medicine, and Department of Medicine, University of British Columbia.
Clinical Prevention Services and Public Health Analytics, British Columbia Centre for Disease Control, Vancouver, BC.

Dionne Gesink (D)

Dalla Lana School of Public Health, University of Toronto, Toronto, ON.

Christine Lukac (C)

Clinical Prevention Services and Public Health Analytics, British Columbia Centre for Disease Control, Vancouver, BC.

David Roth (D)

Clinical Prevention Services and Public Health Analytics, British Columbia Centre for Disease Control, Vancouver, BC.

Venessa Ryan (V)

Clinical Prevention Services and Public Health Analytics, British Columbia Centre for Disease Control, Vancouver, BC.

Sunny Mak (S)

Clinical Prevention Services and Public Health Analytics, British Columbia Centre for Disease Control, Vancouver, BC.

Susan Wang (S)

Dalla Lana School of Public Health, University of Toronto, Toronto, ON.

Emily Newhouse (E)

Vancouver Coastal Health, Vancouver.

Althea Hayden (A)

Vancouver Coastal Health, Vancouver.

Aamir Bharmal (A)

Fraser Health, Surrey.

Dee Hoyano (D)

Island Health, Victoria, BC.

Muhammad Morshed (M)

From the School of Population and Public Health, Department of Pathology and Laboratory Medicine, and Department of Medicine, University of British Columbia.
British Columbia Centre for Disease Control Public Health Laboratory, Vancouver, Canada.

Troy Grennan (T)

From the School of Population and Public Health, Department of Pathology and Laboratory Medicine, and Department of Medicine, University of British Columbia.
Clinical Prevention Services and Public Health Analytics, British Columbia Centre for Disease Control, Vancouver, BC.

Mark Gilbert (M)

From the School of Population and Public Health, Department of Pathology and Laboratory Medicine, and Department of Medicine, University of British Columbia.
Clinical Prevention Services and Public Health Analytics, British Columbia Centre for Disease Control, Vancouver, BC.

Jason Wong (J)

From the School of Population and Public Health, Department of Pathology and Laboratory Medicine, and Department of Medicine, University of British Columbia.
Clinical Prevention Services and Public Health Analytics, British Columbia Centre for Disease Control, Vancouver, BC.

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