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Measuring Rates of Chlamydia Infection at Genitourinary Medicine Clinics in England

Measuring Rates of Chlamydia Infection at Genitourinary Medicine Clinics in England
Measuring Rates of Chlamydia Infection at Genitourinary Medicine Clinics in England
This paper aims to calculate the rates of Chlamydia infection at genitourinary medicine (GUM) clinics in England. Data on the number of cases is available from KC60 returns from GUM clinics in the Northwest and Southwest of the country, but the population exposed to risk is required in order to calculate rates of infection. This study tests three different methods of deriving the exposed to risk: Thiessen polygons, 15 mile boundaries, and 30 minute drive-times. It was found that the method of deriving the population exposed to risk did not significantly affect the Chlamydia rates. Thus the best choice of method was deemed to be the simplest approach, the Thiessen polygons. The 15 mile and 30 minute drive-time models did, however, highlight substantial differences in the accessibility of GUM services between the Southwest and the Northwest.
A07/07
Southampton Statistical Sciences Research Institute, University of Southampton
Sonkin, Beth
85752ee7-c3fd-411a-8505-395999fe314f
Hinde, Andrew
0691a8ab-dcdb-4694-93b4-40d5e71f672d
Sonkin, Beth
85752ee7-c3fd-411a-8505-395999fe314f
Hinde, Andrew
0691a8ab-dcdb-4694-93b4-40d5e71f672d

Sonkin, Beth and Hinde, Andrew (2007) Measuring Rates of Chlamydia Infection at Genitourinary Medicine Clinics in England (S3RI Applications & Policy Working Papers, A07/07) Southampton, UK. Southampton Statistical Sciences Research Institute, University of Southampton 57pp.

Record type: Monograph (Working Paper)

Abstract

This paper aims to calculate the rates of Chlamydia infection at genitourinary medicine (GUM) clinics in England. Data on the number of cases is available from KC60 returns from GUM clinics in the Northwest and Southwest of the country, but the population exposed to risk is required in order to calculate rates of infection. This study tests three different methods of deriving the exposed to risk: Thiessen polygons, 15 mile boundaries, and 30 minute drive-times. It was found that the method of deriving the population exposed to risk did not significantly affect the Chlamydia rates. Thus the best choice of method was deemed to be the simplest approach, the Thiessen polygons. The 15 mile and 30 minute drive-time models did, however, highlight substantial differences in the accessibility of GUM services between the Southwest and the Northwest.

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Published date: 6 November 2007

Identifiers

Local EPrints ID: 49498
URI: http://eprints.soton.ac.uk/id/eprint/49498
PURE UUID: 32760253-8585-4197-b2b9-6741168aa80e
ORCID for Andrew Hinde: ORCID iD orcid.org/0000-0002-8909-9152

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Date deposited: 12 Nov 2007
Last modified: 16 Mar 2024 02:44

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Contributors

Author: Beth Sonkin
Author: Andrew Hinde ORCID iD

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