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Figure 2. Natural history of chlamydia transmission, with arrows showing the transitions between health states. Figure 2. Natural history of chlamydia.

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Presentation on theme: "Figure 2. Natural history of chlamydia transmission, with arrows showing the transitions between health states. Figure 2. Natural history of chlamydia."— Presentation transcript:

1 Figure 2. Natural history of chlamydia transmission, with arrows showing the transitions between health states. Figure 2. Natural history of chlamydia transmission, with arrows showing the transitions between health states. Unless provided in the caption above, the following copyright applies to the content of this slide: © The Author(s) Published by Oxford University Press on behalf of the British Geriatrics Society.This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License ( which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact Am J Epidemiol, Volume 188, Issue 3, 04 January 2019, Pages 545–554, The content of this slide may be subject to copyright: please see the slide notes for details.

2 Figure 1. Schematic of the simulated model population and the pair formation process used to simulate chlamydia ... Figure 1. Schematic of the simulated model population and the pair formation process used to simulate chlamydia transmission, with arrows reflecting the aging of the population. A) Unpaired women; B) pairs of men and women, which represent long-term partnerships; C) unpaired men. Unless provided in the caption above, the following copyright applies to the content of this slide: © The Author(s) Published by Oxford University Press on behalf of the British Geriatrics Society.This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License ( which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact Am J Epidemiol, Volume 188, Issue 3, 04 January 2019, Pages 545–554, The content of this slide may be subject to copyright: please see the slide notes for details.

3 Figure 3. Model-estimated prevalence of chlamydia infection (mean values (circles) and 95% credible intervals (bars)) ... Figure 3. Model-estimated prevalence of chlamydia infection (mean values (circles) and 95% credible intervals (bars)) in the United States in 2015 in a calibrated model (current level) and in 4 counterfactual scenarios: 1) keeping screening at the year 2000 level, 2) no partner notification (PN), 3) no screening, and 4) no screening or PN. Results are presented for women aged 15–24 years (A), women aged 25–54 years (B), men aged 15–24 years (C), and men aged 25–54 years (D). Calibration scenario 1: more constrained priors on reporting and screening; calibration scenario 2: less constrained priors on reporting and more constrained priors on screening; calibration scenario 3: more constrained priors on reporting and less constrained priors on screening; calibration scenario 4: less constrained priors on reporting and screening. Unless provided in the caption above, the following copyright applies to the content of this slide: © The Author(s) Published by Oxford University Press on behalf of the British Geriatrics Society.This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License ( which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact Am J Epidemiol, Volume 188, Issue 3, 04 January 2019, Pages 545–554, The content of this slide may be subject to copyright: please see the slide notes for details.

4 Figure 4. Model-estimated cumulative numbers of chlamydia cases averted (mean values (circles) and 95% credible ... Figure 4. Model-estimated cumulative numbers of chlamydia cases averted (mean values (circles) and 95% credible intervals (bars)) in the United States during 2000–2015 when comparing 4 counterfactual scenarios with a calibrated model (current level). Results are presented for women aged 15–24 years (A), women aged 25–54 years (B), men aged 15–24 years (C), men aged 25–54 years (D), women aged 15–54 years (E), and men aged 15–54 years (F). Calibration scenario 1: more constrained priors on reporting and screening; calibration scenario 2: less constrained priors on reporting and more constrained priors on screening; calibration scenario 3: more constrained priors on reporting and less constrained priors on screening; calibration scenario 4: less constrained priors on reporting and screening. PN, partner notification. Unless provided in the caption above, the following copyright applies to the content of this slide: © The Author(s) Published by Oxford University Press on behalf of the British Geriatrics Society.This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License ( which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact Am J Epidemiol, Volume 188, Issue 3, 04 January 2019, Pages 545–554, The content of this slide may be subject to copyright: please see the slide notes for details.

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