Literature DB >> 14559749

Estimating the cumulative number of human immunodeficiency virus diagnoses by cross-linking from four different sources.

Patrizio Pezzotti1, Cinzia Piovesan, Federica Michieletto, Francesca Zanella, Giovanni Rezza, Giovanni Gallo.   

Abstract

BACKGROUND: We estimated the cumulative number of people diagnosed with human immunodeficiency virus (HIV) infection in a region of Italy by cross-linking data from four surveillance systems and applying capture-recapture methods.
METHODS: The study was conducted using data referring to residents of the Veneto Region (population 4.4 million). We cross-linked data from the AIDS Registry (data 1983-2000), the HIV Registry (1988-2000), the Death Registry (1992-1999), and the Hospital-Discharge Registry (1997-2000), using a code based on name, birth date, and sex. A specific software for capture-recapture models (CARE-1) was used to estimate the size of the target population with two different statistical approaches (sample coverage and log-linear models).
RESULTS: A total of 2801 people were reported to the AIDS Registry, 6415 to the HIV Registry, 1598 to the Death Registry as HIV/AIDS-related deaths, and 3330 to the Hospital-Discharge Registry with a diagnosis of HIV infection. Overall, 8723 people were present in at least one registry: 4896 people were present in only one registry, 2387 in two registries, 1286 in three registries, and 154 in all four registries. Using the sample coverage approach, we estimated that, since the beginning of the epidemic in Veneto, an estimated 11 281 people (95% CI: 10 981, 11 621) should have been reported to at least one registry; thus the estimated coverage of the four registries was 77.3% (i.e. 8723/11 281). Results obtained applying the log-linear approach were similar, although the fitting of this model was not adequate.
CONCLUSIONS: Cross-linking data from four different sources and applying the capture-recapture method can improve the accuracy of the estimates of the dimensions of the HIV epidemic.

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Year:  2003        PMID: 14559749     DOI: 10.1093/ije/dyg202

Source DB:  PubMed          Journal:  Int J Epidemiol        ISSN: 0300-5771            Impact factor:   7.196


  2 in total

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Journal:  Eur J Epidemiol       Date:  2006       Impact factor: 8.082

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Journal:  Public Health Rep       Date:  2006 May-Jun       Impact factor: 2.792

  2 in total

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