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Social network investigation of a syphilis outbreak in Ottawa, Ontario.

D'Angelo-Scott H, Cutler J, Friedman D, Hendriks A, Jolly AM - Can J Infect Dis Med Microbiol (2015 Sep-Oct)

Bottom Line: Information regarding social venues where sex partners were met was plotted together with sexual partnerships, linking 18 cases and 40 contacts, representing 37% of the outbreak population and connecting many of the single individuals and dyads.Uncovering the places sex partners met was an effective proxy measure of high-risk activities shared with infected individuals and demonstrates the potential for focusing on interventions at one named bar and one Internet site to reach a high proportion of the population at risk.Abstract available from the publisher.

View Article: PubMed Central - PubMed

Affiliation: Canadian Field Epidemiology Program, Public Health Agency of Canada;

ABSTRACT

Background: The incidence of syphilis in Ottawa, Ontario, has risen substantially since 2000 to six cases per 100,000 in 2003, again to nine cases per 100,000 in 2007, and recently rose to 11 cases per 100,000 in 2010. The number of cases reported in the first quarter of 2010 was more than double that in the first quarter of 2009.

Objective: In May 2010, the Ontario Ministry of Health and Long Term Care requested the assistance of the Field Epidemiology Program to describe the increase in infectious syphilis rates and to identify social network sources and prevention messages.

Methods: Syphilis surveillance data were routinely collected from January 1, 2009 to July 15, 2010, and social networks were constructed from an enhanced social network questionnaire. Univariate comparisons between the enhanced surveillance group and the remaining cases from 2009 on non-normally distributed data were conducted using Kruskal-Wallis tests and χ(2) tests.

Results: The outbreak cases were comprised of 89% men. Seventeen of the 19 most recent cases consented to answer the questionnaire, which revealed infrequent use of condoms, multiple sex partners and sex with a same-sex partner. Information regarding social venues where sex partners were met was plotted together with sexual partnerships, linking 18 cases and 40 contacts, representing 37% of the outbreak population and connecting many of the single individuals and dyads.

Conclusion: Uncovering the places sex partners met was an effective proxy measure of high-risk activities shared with infected individuals and demonstrates the potential for focusing on interventions at one named bar and one Internet site to reach a high proportion of the population at risk.

No MeSH data available.


Related in: MedlinePlus

Largest component of infectious syphilis cases contacts using routinely collected data only (A) and largest component generated from routinely collected data and adding only those venues named by two or more individuals, according to sex and HIV status (B), Ottawa, Ontario, January 1, 2009 to June 15, 2010. Lines between individuals represent sexual contact while those between individuals and venues represent patronage to that venue
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f5-cjidmm-26-268: Largest component of infectious syphilis cases contacts using routinely collected data only (A) and largest component generated from routinely collected data and adding only those venues named by two or more individuals, according to sex and HIV status (B), Ottawa, Ontario, January 1, 2009 to June 15, 2010. Lines between individuals represent sexual contact while those between individuals and venues represent patronage to that venue

Mentions: The above venue data were combined with the networks of 72 routine and enhanced surveillance cases and their 83 named contacts (Figure 4). The network consisted of 45 components ranging in size from one to 95 nodes including 42 social venues. Furthermore, the largest component, previously composed of only 19 nodes (12%), expanded three-fold to contain 18 cases and 40 contacts, representing 37% of the outbreak population (Figure 5). Importantly, a second case with HIV and a female contact who were previously in separate components were now included.


Social network investigation of a syphilis outbreak in Ottawa, Ontario.

D'Angelo-Scott H, Cutler J, Friedman D, Hendriks A, Jolly AM - Can J Infect Dis Med Microbiol (2015 Sep-Oct)

Largest component of infectious syphilis cases contacts using routinely collected data only (A) and largest component generated from routinely collected data and adding only those venues named by two or more individuals, according to sex and HIV status (B), Ottawa, Ontario, January 1, 2009 to June 15, 2010. Lines between individuals represent sexual contact while those between individuals and venues represent patronage to that venue
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4644011&req=5

f5-cjidmm-26-268: Largest component of infectious syphilis cases contacts using routinely collected data only (A) and largest component generated from routinely collected data and adding only those venues named by two or more individuals, according to sex and HIV status (B), Ottawa, Ontario, January 1, 2009 to June 15, 2010. Lines between individuals represent sexual contact while those between individuals and venues represent patronage to that venue
Mentions: The above venue data were combined with the networks of 72 routine and enhanced surveillance cases and their 83 named contacts (Figure 4). The network consisted of 45 components ranging in size from one to 95 nodes including 42 social venues. Furthermore, the largest component, previously composed of only 19 nodes (12%), expanded three-fold to contain 18 cases and 40 contacts, representing 37% of the outbreak population (Figure 5). Importantly, a second case with HIV and a female contact who were previously in separate components were now included.

Bottom Line: Information regarding social venues where sex partners were met was plotted together with sexual partnerships, linking 18 cases and 40 contacts, representing 37% of the outbreak population and connecting many of the single individuals and dyads.Uncovering the places sex partners met was an effective proxy measure of high-risk activities shared with infected individuals and demonstrates the potential for focusing on interventions at one named bar and one Internet site to reach a high proportion of the population at risk.Abstract available from the publisher.

View Article: PubMed Central - PubMed

Affiliation: Canadian Field Epidemiology Program, Public Health Agency of Canada;

ABSTRACT

Background: The incidence of syphilis in Ottawa, Ontario, has risen substantially since 2000 to six cases per 100,000 in 2003, again to nine cases per 100,000 in 2007, and recently rose to 11 cases per 100,000 in 2010. The number of cases reported in the first quarter of 2010 was more than double that in the first quarter of 2009.

Objective: In May 2010, the Ontario Ministry of Health and Long Term Care requested the assistance of the Field Epidemiology Program to describe the increase in infectious syphilis rates and to identify social network sources and prevention messages.

Methods: Syphilis surveillance data were routinely collected from January 1, 2009 to July 15, 2010, and social networks were constructed from an enhanced social network questionnaire. Univariate comparisons between the enhanced surveillance group and the remaining cases from 2009 on non-normally distributed data were conducted using Kruskal-Wallis tests and χ(2) tests.

Results: The outbreak cases were comprised of 89% men. Seventeen of the 19 most recent cases consented to answer the questionnaire, which revealed infrequent use of condoms, multiple sex partners and sex with a same-sex partner. Information regarding social venues where sex partners were met was plotted together with sexual partnerships, linking 18 cases and 40 contacts, representing 37% of the outbreak population and connecting many of the single individuals and dyads.

Conclusion: Uncovering the places sex partners met was an effective proxy measure of high-risk activities shared with infected individuals and demonstrates the potential for focusing on interventions at one named bar and one Internet site to reach a high proportion of the population at risk.

No MeSH data available.


Related in: MedlinePlus