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


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.

Download

[img] PDF
Download (3989Kb)

Description/Abstract

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.

Item Type: Thesis (Doctoral)
Subjects: G Geography. Anthropology. Recreation > G Geography (General)
R Medicine > RC Internal medicine > RC0254 Neoplasms. Tumors. Oncology (including Cancer)
R Medicine > RA Public aspects of medicine > RA0421 Public health. Hygiene. Preventive Medicine
Divisions: University Structure - Pre August 2011 > School of Geography
ePrint ID: 69712
Date Deposited: 27 Nov 2009
Last Modified: 27 Mar 2014 18:49
URI: http://eprints.soton.ac.uk/id/eprint/69712

Actions (login required)

View Item View Item