Cargando…
Current crisis or artifact of surveillance: insights into rebound chlamydia rates from dynamic modelling
BACKGROUND: After initially falling in the face of intensified control efforts, reported rates of sexually transmitted chlamydia in many developed countries are rising. Recent hypotheses for this phenomenon have broadly focused on improved case finding or an increase in the prevalence. Because of ma...
Autores principales: | , |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2010
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2848153/ https://www.ncbi.nlm.nih.gov/pubmed/20233416 http://dx.doi.org/10.1186/1471-2334-10-70 |
_version_ | 1782179649564966912 |
---|---|
author | Vickers, David M Osgood, Nathaniel D |
author_facet | Vickers, David M Osgood, Nathaniel D |
author_sort | Vickers, David M |
collection | PubMed |
description | BACKGROUND: After initially falling in the face of intensified control efforts, reported rates of sexually transmitted chlamydia in many developed countries are rising. Recent hypotheses for this phenomenon have broadly focused on improved case finding or an increase in the prevalence. Because of many complex interactions behind the spread of infectious diseases, dynamic models of infection transmission are an effective means to guide learning, and assess quantitative conjectures of epidemiological processes. The objective of this paper is to bring a unique and robust perspective to observed chlamydial patterns through analyzing surveillance data with mathematical models of infection transmission. METHODS: This study integrated 25-year testing volume data from the Canadian province of Saskatchewan with one susceptible-infected-treated-susceptible and three susceptible-infected-treated-removed compartmental models. Calibration of model parameters to fit observed 25-year case notification data, after being combined with testing records, placed constraints on model behaviour and allowed for an approximation of chlamydia prevalence to be estimated. Model predictions were compared to observed case notification trends, and extensive sensitivity analyses were performed to confirm the robustness of model results. RESULTS: Model predictions accurately mirrored historic chlamydial trends including an observed rebound in the mid 1990s. For all models examined, the results repeatedly highlighted that increased testing volumes, rather than changes in the sensitivity and specificity of testing technologies, sexual behaviour, or truncated immunological responses brought about by treatment can, explain the increase in observed chlamydia case notifications. CONCLUSIONS: Our results highlight the significant impact testing volume can have on observed incidence rates, and that simple explanations for these observed increases appear to have been dismissed in favor of changes to the underlying prevalence. These simple methods not only demonstrate geographic portability, but the results reassure the public health effort towards monitoring and controlling chlamydia. |
format | Text |
id | pubmed-2848153 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-28481532010-04-01 Current crisis or artifact of surveillance: insights into rebound chlamydia rates from dynamic modelling Vickers, David M Osgood, Nathaniel D BMC Infect Dis Research Article BACKGROUND: After initially falling in the face of intensified control efforts, reported rates of sexually transmitted chlamydia in many developed countries are rising. Recent hypotheses for this phenomenon have broadly focused on improved case finding or an increase in the prevalence. Because of many complex interactions behind the spread of infectious diseases, dynamic models of infection transmission are an effective means to guide learning, and assess quantitative conjectures of epidemiological processes. The objective of this paper is to bring a unique and robust perspective to observed chlamydial patterns through analyzing surveillance data with mathematical models of infection transmission. METHODS: This study integrated 25-year testing volume data from the Canadian province of Saskatchewan with one susceptible-infected-treated-susceptible and three susceptible-infected-treated-removed compartmental models. Calibration of model parameters to fit observed 25-year case notification data, after being combined with testing records, placed constraints on model behaviour and allowed for an approximation of chlamydia prevalence to be estimated. Model predictions were compared to observed case notification trends, and extensive sensitivity analyses were performed to confirm the robustness of model results. RESULTS: Model predictions accurately mirrored historic chlamydial trends including an observed rebound in the mid 1990s. For all models examined, the results repeatedly highlighted that increased testing volumes, rather than changes in the sensitivity and specificity of testing technologies, sexual behaviour, or truncated immunological responses brought about by treatment can, explain the increase in observed chlamydia case notifications. CONCLUSIONS: Our results highlight the significant impact testing volume can have on observed incidence rates, and that simple explanations for these observed increases appear to have been dismissed in favor of changes to the underlying prevalence. These simple methods not only demonstrate geographic portability, but the results reassure the public health effort towards monitoring and controlling chlamydia. BioMed Central 2010-03-16 /pmc/articles/PMC2848153/ /pubmed/20233416 http://dx.doi.org/10.1186/1471-2334-10-70 Text en Copyright ©2010 Vickers and Osgood; 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 Article Vickers, David M Osgood, Nathaniel D Current crisis or artifact of surveillance: insights into rebound chlamydia rates from dynamic modelling |
title | Current crisis or artifact of surveillance: insights into rebound chlamydia rates from dynamic modelling |
title_full | Current crisis or artifact of surveillance: insights into rebound chlamydia rates from dynamic modelling |
title_fullStr | Current crisis or artifact of surveillance: insights into rebound chlamydia rates from dynamic modelling |
title_full_unstemmed | Current crisis or artifact of surveillance: insights into rebound chlamydia rates from dynamic modelling |
title_short | Current crisis or artifact of surveillance: insights into rebound chlamydia rates from dynamic modelling |
title_sort | current crisis or artifact of surveillance: insights into rebound chlamydia rates from dynamic modelling |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2848153/ https://www.ncbi.nlm.nih.gov/pubmed/20233416 http://dx.doi.org/10.1186/1471-2334-10-70 |
work_keys_str_mv | AT vickersdavidm currentcrisisorartifactofsurveillanceinsightsintoreboundchlamydiaratesfromdynamicmodelling AT osgoodnathanield currentcrisisorartifactofsurveillanceinsightsintoreboundchlamydiaratesfromdynamicmodelling |