Effect of Screening and Treatment for Gonorrhea and Chlamydia on HIV Incidence Among Men Who Have Sex With Men in the United States: A Modeling Analysis

Jones, Jeb; Guillou, Adrien Le; Gift, Thomas L.; Chesson, Harrell W.; Bernstein, Kyle; Delaney, Kevin P.; Lyles, Cynthia M.; Berruti, Andrés A.; Sullivan, Patrick S.; Jenness, Samuel M.

doi:10.1097/olq.0000000000001685

Cited by 6 publications

(3 citation statements)

References 34 publications

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“…Similarly, the duration varied between 251 and 299 days (between two LA-MSM individuals) which cannot be considered close to the 155 days reported by Heymans et al [ 57 ]. Homophily rates in the literature rarely reflect on activity or risk-groups [ 39 ] and more often refer to racial, religious or socioeconomic mixing [ 9 , 13 , 35 , 36 , 72 , 73 ]. However, the homophily rates reported from a Dutch modeling paper were similar to our findings (75% for steady and 60% for casual partnerships) [ 39 ].…”

Section: Discussionmentioning

confidence: 99%

Estimating Partnership Duration among MSM in Belgium—A Modeling Study

Tsoumanis,

Vanden Berghe,

Hens

et al. 2024

Infectious Disease Reports

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Mathematical modeling is widely used for describing infection transmission and evaluating interventions. The lack of reliable social parameters in the literature has been mentioned by many modeling studies, leading to limitations in the validity and interpretation of the results. Using data from the European MSM Internet survey 2017, we developed a network model to describe sex acts among MSM in Belgium. The model simulates daily sex acts among steady, persistent casual and one-off partners in a population of 10,000 MSM, grouped as low- or high-activity by using three different definitions. Model calibration was used to estimate partnership duration and homophily rates to match the distribution of cumulative sex partners over 12 months. We estimated an average duration between 1065 and 1409 days for steady partnerships, 4–6 and 251–299 days for assortative high- and low-activity individuals and 8–13 days for disassortative persistent casual partnerships, respectively, varying across the three definitions. High-quality data on social network and behavioral parameters are scarce in the literature. Our study addresses this lack of information by providing a method to estimate crucial parameters for network specification.

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Section: Discussionmentioning

confidence: 99%

Estimating Partnership Duration among MSM in Belgium—A Modeling Study

Tsoumanis,

Vanden Berghe,

Hens

et al. 2024

Infectious Disease Reports

View full text Add to dashboard Cite

show abstract

“…Homophily rates in the literature rarely reflect on activity or risk-groups 33 and more often refer to racial, religious or socioeconomic mixing 9,28,29,41,72,73 . However, the homophily rates reported from a Dutch modelling paper were similar to our findings (75% for steady and 60% for casual partnerships) 33 .…”

Section: Discussionmentioning

confidence: 99%

Estimating Partnership Duration among MSM in Belgium – a Modelling Study

Tsoumanis,

Vanden Berghe,

Hens

et al. 2024

Preprint

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Mathematical modelling is widely used for describing infection transmission and evaluating interventions. The lack of reliable social parameters in the literature has been mentioned by many modelling studies, leading to limitations in the validity and interpretation of the results. Using data from the European MSM Internet survey 2017, we developed a network model to describe sex acts among MSM in Belgium. The model simulates daily sex acts among steady, persistent casual and one-off partners in a population of 10,000 MSM, grouped as low- or high-activity by using three different definitions. Model calibration was used to estimate partnership duration and homophily rates to match the distribution of cumulative sex partners over 12 months. We estimated an average duration between 1065 and 1409 days for steady partnerships, 4-6 and 251-299 days for assortative high- and low-activity individuals and 8-13 days for disassortative persistent casual partnerships, respectively, varying across the three definitions. High quality data on social network and behavioral parameters are scarce in literature. Our study addresses this lack of information by providing a method to estimate crucial parameters for network specification.

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“…[21][22][23][24] Some STDs, such as HIV infection, gonococcal infections, and urogenital chlamydial infections among women, were often asymptomatic, and screening is required to determine infection. 25 In addition, the susceptible population could avoid or delay routine health visits due to adherence to the NPIs, reducing the exposure to COVID-19. 26 At present, there are no nationally representative data on STD screening coverage in China, so it is impossible to quantify changes in national-level screening.…”

Section: Discussionmentioning

confidence: 99%

A long trend of sexually transmitted diseases before and after the COVID-19 pandemic in China (2010–21)

Xu,

Zuo,

Yang

et al. 2023

Sex. Health

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Background The longer ongoing benefits of coronavirus disease 2019 (COVID-19) non-pharmaceutical interventions (NPIs) for sexually transmitted diseases (STDs) in China are still unclear. We aimed to explore the changes in five STDs (AIDS, hepatitis B, hepatitis C, gonorrhoea, and syphilis) before, during, and after the COVID-19 pandemic in mainland China, from 2010 to 2021. Methods The number of the monthly reported cases of the five STDs were extracted from the website to construct the Joinpoint regression and autoregressive integrated moving average (ARIMA) models. Eight indicators reflecting NPIs were chosen from the COVID-19 Government Response Tracker system. The STDs and eight indicators were used to establish the Multivariable generalised linear model (GLM) to calculate the incidence rate ratios (IRRs). Results With the exception of hepatitis B, the other four STDs (AIDS, hepatitis C, gonorrhoea, and syphilis) had a positive average annual percent change over the past 12 years. All the ARIMA models had passed the Ljung–Box test, and the predicted data fit well with the data from 2010 to 2019. All five STDs were significantly reduced in 2020 compared with 2019, with significant estimated IRRs ranging from 0.88 to 0.92. In the GLM, using data for the years 2020 (February–December) and 2021, the IRRs were not significant after adjusting for the eight indicators in multivariate analysis. Conclusion Our study demonstrated that the incidence of the five STDs decreased rapidly during the COVID-19 pandemic in 2020. A recovery of STDs in 2021 was found to occur compared with that in 2020, but the rising trend disappeared after adjusting for the NPIs. Our study demonstrated that NPIs have an effect on STDs, but the relaxation of NPI usage might lead to a resurgence.

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Effect of Screening and Treatment for Gonorrhea and Chlamydia on HIV Incidence Among Men Who Have Sex With Men in the United States: A Modeling Analysis

Abstract: Using a network model, we demonstrate that increasing screening for Neisseria gonorrhoeae and Chlamydia trachomatis will result in reductions in HIV incidence among men who have sex with men.

Cited by 6 publications

References 34 publications

Estimating Partnership Duration among MSM in Belgium—A Modeling Study

Estimating Partnership Duration among MSM in Belgium—A Modeling Study

Estimating Partnership Duration among MSM in Belgium – a Modelling Study

A long trend of sexually transmitted diseases before and after the COVID-19 pandemic in China (2010–21)

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