### Abstract

Original language | English |
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Article number | 803097 |

Journal | Computational and Mathematical Methods in Medicine |

Volume | 2012 |

DOIs | |

Publication status | Published - 2012 |

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### Cite this

*Computational and Mathematical Methods in Medicine*,

*2012*, [803097]. https://doi.org/10.1155/2012/803097

**Exploring short-term responses to changes in the control strategy for chlamydia trachomatis.** / Clarke, J.; White, K.A.J.; Turner, K.

Research output: Contribution to journal › Article

*Computational and Mathematical Methods in Medicine*, vol. 2012, 803097. https://doi.org/10.1155/2012/803097

}

TY - JOUR

T1 - Exploring short-term responses to changes in the control strategy for chlamydia trachomatis

AU - Clarke, J.

AU - White, K.A.J.

AU - Turner, K.

PY - 2012

Y1 - 2012

N2 - Chlamydia has a significant impact on public health provision in the developed world. Using pair approximation equations we investigate the efficacy of control programmes for chlamydia on short time scales that are relevant to policy makers. We use output from the model to estimate critical measures, namely, prevalence, incidence, and positivity in those screened and their partners. We combine these measures with a costing tool to estimate the economic impact of different public health strategies. Increasing screening coverage significantly increases the annual programme costs whereas an increase in tracing efficiency initially increases annual costs but over time reduces costs below baseline, with tracing accounting for around 10% of intervention costs. We found that partner positivity is insensitive to changes in prevalence due to screening, remaining at around 33%. Whether increases occur in screening or tracing levels, the cost per treated infection increases from the baseline because of reduced prevalence.

AB - Chlamydia has a significant impact on public health provision in the developed world. Using pair approximation equations we investigate the efficacy of control programmes for chlamydia on short time scales that are relevant to policy makers. We use output from the model to estimate critical measures, namely, prevalence, incidence, and positivity in those screened and their partners. We combine these measures with a costing tool to estimate the economic impact of different public health strategies. Increasing screening coverage significantly increases the annual programme costs whereas an increase in tracing efficiency initially increases annual costs but over time reduces costs below baseline, with tracing accounting for around 10% of intervention costs. We found that partner positivity is insensitive to changes in prevalence due to screening, remaining at around 33%. Whether increases occur in screening or tracing levels, the cost per treated infection increases from the baseline because of reduced prevalence.

UR - http://www.scopus.com/inward/record.url?scp=84863659724&partnerID=8YFLogxK

UR - http://dx.doi.org/10.1155/2012/803097

U2 - 10.1155/2012/803097

DO - 10.1155/2012/803097

M3 - Article

VL - 2012

JO - Computational and Mathematical Methods in Medicine

JF - Computational and Mathematical Methods in Medicine

SN - 1748-670X

M1 - 803097

ER -