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Case-case analysis of enteric diseases with routine surveillance data: Potential use and example results

BACKGROUND: Case-control studies and outbreak investigations are the major epidemiological tools for providing detailed information on enteric disease sources and risk factors, but these investigations can be constrained by cost and logistics. METHODS: We explored the advantages and disadvantages of...

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Autores principales: Wilson, Nick, Baker, Michael, Edwards, Richard, Simmons, Greg
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2008
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2584622/
https://www.ncbi.nlm.nih.gov/pubmed/18976484
http://dx.doi.org/10.1186/1742-5573-5-6
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author Wilson, Nick
Baker, Michael
Edwards, Richard
Simmons, Greg
author_facet Wilson, Nick
Baker, Michael
Edwards, Richard
Simmons, Greg
author_sort Wilson, Nick
collection PubMed
description BACKGROUND: Case-control studies and outbreak investigations are the major epidemiological tools for providing detailed information on enteric disease sources and risk factors, but these investigations can be constrained by cost and logistics. METHODS: We explored the advantages and disadvantages of comparing risk factors for enteric diseases using the case-case method. The main issues are illustrated with an analysis of routine notification data on enteric diseases for 2006 collected by New Zealand's national surveillance system. RESULTS: Our analyses of aggregated New Zealand surveillance data found that the associations (crude odds ratios) for risk factors of enteric disease were fairly consistent with findings from local case-control studies and outbreak investigations, adding support for the use of the case-case analytical approach. Despite various inherent limitations, such an approach has the potential to contribute to the monitoring of risk factor trends for enteric diseases. Nevertheless, using the case-case method for analysis of routine surveillance data may need to be accompanied by: (i) reduction of potential selection and information biases by improving the quality of the surveillance data; and (ii) reduction of confounding by conducting more sophisticated analyses based on individual-level data. CONCLUSION: Case-case analyses of enteric diseases using routine surveillance data might be a useful low-cost means to study trends in enteric disease sources and inform control measures. If used, it should probably supplement rather than replace outbreak investigations and case-control studies. Furthermore, it could be enhanced by utilising high quality individual-level data provided by nationally-representative sentinel sites for enteric disease surveillance.
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spelling pubmed-25846222008-11-19 Case-case analysis of enteric diseases with routine surveillance data: Potential use and example results Wilson, Nick Baker, Michael Edwards, Richard Simmons, Greg Epidemiol Perspect Innov Research BACKGROUND: Case-control studies and outbreak investigations are the major epidemiological tools for providing detailed information on enteric disease sources and risk factors, but these investigations can be constrained by cost and logistics. METHODS: We explored the advantages and disadvantages of comparing risk factors for enteric diseases using the case-case method. The main issues are illustrated with an analysis of routine notification data on enteric diseases for 2006 collected by New Zealand's national surveillance system. RESULTS: Our analyses of aggregated New Zealand surveillance data found that the associations (crude odds ratios) for risk factors of enteric disease were fairly consistent with findings from local case-control studies and outbreak investigations, adding support for the use of the case-case analytical approach. Despite various inherent limitations, such an approach has the potential to contribute to the monitoring of risk factor trends for enteric diseases. Nevertheless, using the case-case method for analysis of routine surveillance data may need to be accompanied by: (i) reduction of potential selection and information biases by improving the quality of the surveillance data; and (ii) reduction of confounding by conducting more sophisticated analyses based on individual-level data. CONCLUSION: Case-case analyses of enteric diseases using routine surveillance data might be a useful low-cost means to study trends in enteric disease sources and inform control measures. If used, it should probably supplement rather than replace outbreak investigations and case-control studies. Furthermore, it could be enhanced by utilising high quality individual-level data provided by nationally-representative sentinel sites for enteric disease surveillance. BioMed Central 2008-10-31 /pmc/articles/PMC2584622/ /pubmed/18976484 http://dx.doi.org/10.1186/1742-5573-5-6 Text en Copyright © 2008 Wilson et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Wilson, Nick
Baker, Michael
Edwards, Richard
Simmons, Greg
Case-case analysis of enteric diseases with routine surveillance data: Potential use and example results
title Case-case analysis of enteric diseases with routine surveillance data: Potential use and example results
title_full Case-case analysis of enteric diseases with routine surveillance data: Potential use and example results
title_fullStr Case-case analysis of enteric diseases with routine surveillance data: Potential use and example results
title_full_unstemmed Case-case analysis of enteric diseases with routine surveillance data: Potential use and example results
title_short Case-case analysis of enteric diseases with routine surveillance data: Potential use and example results
title_sort case-case analysis of enteric diseases with routine surveillance data: potential use and example results
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2584622/
https://www.ncbi.nlm.nih.gov/pubmed/18976484
http://dx.doi.org/10.1186/1742-5573-5-6
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