Literature DB >> 11484803

A change-point model for reporting delays under change of AIDS case definition.

F Tabnak1, H G Müller, J L Wang, J M Chiou, R K Sun.   

Abstract

Accurate monitoring of disease incidence is of major public health concern. The time delay between diagnosis and the date of reporting creates bias in estimating disease incidence. Changes in case definition are expected to have an impact on the time lag of case reporting. We propose a change-point model for reporting delays in AIDS that takes into account recent changes in the AIDS definition in US and European countries. The model was applied to California AIDS surveillance data and the distribution of reporting delays before and after the recent change of definition in 1993 were analyzed in terms of contributing factors. The overall significance of the model with change-point as compared to the model without change-point indicates that the effect of the 1993 change in definition on the distribution of reporting delays was highly significant (p < 0.0001). Overall, reporting delay of cases initially diagnosed with AIDS-defining diseases before 1993 was shorter compared to after 1993; reporting delay of cases initially diagnosed meeting the 1993 immunologic case definition was shorter than of those initially diagnosed with AIDS-defining diseases. Region of residence, mode of exposure, race/ethnicity and time of diagnosis emerged as the main covariates in the models. The method introduced here applies to current and possible future changes of the AIDS case definition as well as changes in diagnostic criteria or case definition in diseases other than AIDS. We demonstrate that such changes may be accompanied by sizeable changes in the distribution of reporting delays, and thus adjustment for reporting delays must be recalibrated after a change in definition.

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Year:  2000        PMID: 11484803     DOI: 10.1023/a:1010955827954

Source DB:  PubMed          Journal:  Eur J Epidemiol        ISSN: 0393-2990            Impact factor:   8.082


  27 in total

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Journal:  Stat Med       Date:  1997-10-30       Impact factor: 2.373

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Authors: 
Journal:  MMWR Suppl       Date:  1987-08-14

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Journal:  Stat Med       Date:  1989-03       Impact factor: 2.373

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Journal:  Stat Med       Date:  1989-08       Impact factor: 2.373

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Journal:  Stat Med       Date:  1989-01       Impact factor: 2.373

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Authors:  M Pagano; X M Tu; V De Gruttola; S MaWhinney
Journal:  Biometrics       Date:  1994-12       Impact factor: 2.571

9.  Seasonal and other short-term influences on United States AIDS incidence.

Authors:  P Bacchetti
Journal:  Stat Med       Date:  1994 Oct 15-30       Impact factor: 2.373

10.  Adjusting AIDS incidence for non-stationary reporting delays: a necessity for country comparisons.

Authors:  M D Gebhardt; B E Neuenschwander; M Zwahlen
Journal:  Eur J Epidemiol       Date:  1998-09       Impact factor: 8.082

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  1 in total

1.  Value of evidence from syndromic surveillance with cumulative evidence from multiple data streams with delayed reporting.

Authors:  R Struchen; F Vial; M G Andersson
Journal:  Sci Rep       Date:  2017-04-26       Impact factor: 4.379

  1 in total

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