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Regression modelling of cervical cancer and Chlamydia incidence in the context of national screening programmes

Record type: Thesis (Doctoral)

Prevention of cervical cancer development or reduction in undetected Chlamydia incidence and further onward Chlamydia transmission can be achieved through regular screening. Early detection through a regular screening programme is essential to achieve this goal. A well established screening policy is needed to improve screening efficiency.
This PhD study demonstrated the use of mathematical and spatial modelling to explore the risk factors through various regression models, to explore the relation between socio-economic conditions and disease incidence, and also other techniques including classification analysis, decision models, and simulation to evaluate screening options. Based on the risk factors and risk grouping, different groups may have different screening policies. Alternatively, geographical differences can be taken into account by dividing areas into a few parts; the population living in each part may be considered to have different risks of developing cervical cancer or Chlamydia in their life time. Therefore, different screening programmes and services could be provided to those populations according their location or the risk groups which they belong to.

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Citation

Cheng, Man Ying Edith (2009) Regression modelling of cervical cancer and Chlamydia incidence in the context of national screening programmes University of Southampton, School of Geography, Doctoral Thesis , 244pp.

More information

Published date: February 2009
Organisations: University of Southampton

Identifiers

Local EPrints ID: 69712
URI: http://eprints.soton.ac.uk/id/eprint/69712
PURE UUID: 288b7a7b-777b-4973-9dfa-c5adf857eb0d

Catalogue record

Date deposited: 27 Nov 2009
Last modified: 19 Jul 2017 00:06

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Contributors

Author: Man Ying Edith Cheng
Thesis advisor: Peter Atkinson

University divisions

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