Geographic determinants of reported human <it>Campylobacter </it>infections in Scotland

<p>Abstract</p> <p>Background</p> <p>Campylobacteriosis is the leading cause of bacterial gastroenteritis in most developed countries. People are exposed to infection from contaminated food and environmental sources. However, the translation of these exposures into infe...

Full description

Bibliographic Details
Main Authors: Reid Stuart WJ, Cowden John M, Forbes Ken J, Strachan Norval JC, Rotariu Ovidiu, Smith-Palmer Alison, Matthews Louise, Bessell Paul R, Innocent Giles T
Format: Article
Language:English
Published: BMC 2010-07-01
Series:BMC Public Health
Online Access:http://www.biomedcentral.com/1471-2458/10/423
id doaj-a169663938a24002a2caa00d006e7feb
record_format Article
spelling doaj-a169663938a24002a2caa00d006e7feb2020-11-24T20:47:07ZengBMCBMC Public Health1471-24582010-07-0110142310.1186/1471-2458-10-423Geographic determinants of reported human <it>Campylobacter </it>infections in ScotlandReid Stuart WJCowden John MForbes Ken JStrachan Norval JCRotariu OvidiuSmith-Palmer AlisonMatthews LouiseBessell Paul RInnocent Giles T<p>Abstract</p> <p>Background</p> <p>Campylobacteriosis is the leading cause of bacterial gastroenteritis in most developed countries. People are exposed to infection from contaminated food and environmental sources. However, the translation of these exposures into infection in the human population remains incompletely understood. This relationship is further complicated by differences in the presentation of cases, their investigation, identification, and reporting; thus, the actual differences in risk must be considered alongside the artefactual differences.</p> <p>Methods</p> <p>Data on 33,967 confirmed <it>Campylobacter </it>infections in mainland Scotland between 2000 and 2006 (inclusive) that were spatially referenced to the postcode sector level were analysed. Risk factors including the Carstairs index of social deprivation, the easting and northing of the centroid of the postcode sector, measures of livestock density by species and population density were tested in univariate screening using a non-spatial generalised linear model. The NHS Health Board of the case was included as a random effect in this final model. Subsequently, a spatial generalised linear mixed model (GLMM) was constructed and age-stratified sensitivity analysis was conducted on this model.</p> <p>Results</p> <p>The spatial GLMM included the protective effects of the Carstairs index (relative risk (RR) = 0.965, 95% Confidence intervals (CIs) = 0.959, 0.971) and population density (RR = 0.945, 95% CIs = 0.916, 0.974. Following stratification by age group, population density had a significant protective effect (RR = 0.745, 95% CIs = 0.700, 0.792) for those under 15 but not for those aged 15 and older (RR = 0.982, 95% CIs = 0.951, 1.014). Once these predictors have been taken into account three NHS Health Boards remain at significantly greater risk (Grampian, Highland and Tayside) and two at significantly lower risk (Argyll and Ayrshire and Arran).</p> <p>Conclusions</p> <p>The less deprived and children living in rural areas are at the greatest risk of being reported as a case of <it>Campylobacter </it>infection. However, this analysis cannot differentiate between actual risk and heterogeneities in individual reporting behaviour; nevertheless this paper has demonstrated that it is possible to explain the pattern of reported <it>Campylobacter </it>infections using both social and environmental predictors.</p> http://www.biomedcentral.com/1471-2458/10/423
collection DOAJ
language English
format Article
sources DOAJ
author Reid Stuart WJ
Cowden John M
Forbes Ken J
Strachan Norval JC
Rotariu Ovidiu
Smith-Palmer Alison
Matthews Louise
Bessell Paul R
Innocent Giles T
spellingShingle Reid Stuart WJ
Cowden John M
Forbes Ken J
Strachan Norval JC
Rotariu Ovidiu
Smith-Palmer Alison
Matthews Louise
Bessell Paul R
Innocent Giles T
Geographic determinants of reported human <it>Campylobacter </it>infections in Scotland
BMC Public Health
author_facet Reid Stuart WJ
Cowden John M
Forbes Ken J
Strachan Norval JC
Rotariu Ovidiu
Smith-Palmer Alison
Matthews Louise
Bessell Paul R
Innocent Giles T
author_sort Reid Stuart WJ
title Geographic determinants of reported human <it>Campylobacter </it>infections in Scotland
title_short Geographic determinants of reported human <it>Campylobacter </it>infections in Scotland
title_full Geographic determinants of reported human <it>Campylobacter </it>infections in Scotland
title_fullStr Geographic determinants of reported human <it>Campylobacter </it>infections in Scotland
title_full_unstemmed Geographic determinants of reported human <it>Campylobacter </it>infections in Scotland
title_sort geographic determinants of reported human <it>campylobacter </it>infections in scotland
publisher BMC
series BMC Public Health
issn 1471-2458
publishDate 2010-07-01
description <p>Abstract</p> <p>Background</p> <p>Campylobacteriosis is the leading cause of bacterial gastroenteritis in most developed countries. People are exposed to infection from contaminated food and environmental sources. However, the translation of these exposures into infection in the human population remains incompletely understood. This relationship is further complicated by differences in the presentation of cases, their investigation, identification, and reporting; thus, the actual differences in risk must be considered alongside the artefactual differences.</p> <p>Methods</p> <p>Data on 33,967 confirmed <it>Campylobacter </it>infections in mainland Scotland between 2000 and 2006 (inclusive) that were spatially referenced to the postcode sector level were analysed. Risk factors including the Carstairs index of social deprivation, the easting and northing of the centroid of the postcode sector, measures of livestock density by species and population density were tested in univariate screening using a non-spatial generalised linear model. The NHS Health Board of the case was included as a random effect in this final model. Subsequently, a spatial generalised linear mixed model (GLMM) was constructed and age-stratified sensitivity analysis was conducted on this model.</p> <p>Results</p> <p>The spatial GLMM included the protective effects of the Carstairs index (relative risk (RR) = 0.965, 95% Confidence intervals (CIs) = 0.959, 0.971) and population density (RR = 0.945, 95% CIs = 0.916, 0.974. Following stratification by age group, population density had a significant protective effect (RR = 0.745, 95% CIs = 0.700, 0.792) for those under 15 but not for those aged 15 and older (RR = 0.982, 95% CIs = 0.951, 1.014). Once these predictors have been taken into account three NHS Health Boards remain at significantly greater risk (Grampian, Highland and Tayside) and two at significantly lower risk (Argyll and Ayrshire and Arran).</p> <p>Conclusions</p> <p>The less deprived and children living in rural areas are at the greatest risk of being reported as a case of <it>Campylobacter </it>infection. However, this analysis cannot differentiate between actual risk and heterogeneities in individual reporting behaviour; nevertheless this paper has demonstrated that it is possible to explain the pattern of reported <it>Campylobacter </it>infections using both social and environmental predictors.</p>
url http://www.biomedcentral.com/1471-2458/10/423
work_keys_str_mv AT reidstuartwj geographicdeterminantsofreportedhumanitcampylobacteritinfectionsinscotland
AT cowdenjohnm geographicdeterminantsofreportedhumanitcampylobacteritinfectionsinscotland
AT forbeskenj geographicdeterminantsofreportedhumanitcampylobacteritinfectionsinscotland
AT strachannorvaljc geographicdeterminantsofreportedhumanitcampylobacteritinfectionsinscotland
AT rotariuovidiu geographicdeterminantsofreportedhumanitcampylobacteritinfectionsinscotland
AT smithpalmeralison geographicdeterminantsofreportedhumanitcampylobacteritinfectionsinscotland
AT matthewslouise geographicdeterminantsofreportedhumanitcampylobacteritinfectionsinscotland
AT bessellpaulr geographicdeterminantsofreportedhumanitcampylobacteritinfectionsinscotland
AT innocentgilest geographicdeterminantsofreportedhumanitcampylobacteritinfectionsinscotland
_version_ 1716811123315965952