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Indian health surveillance report; sexually transmitted diseases 2004
  • Published Date:
    November 2006
Filetype[PDF-4.53 MB]


Details:
  • Corporate Authors:
    National Center for HIV, STD, Viral Hepatitis and TB Prevention (U.S.), Disease of STD Prevention. ; Centers for Disease Control and Prevention (U.S.) ; United States, Indian Health Service., Division of Epidemiology and Disease Prevention., Division of Program Statistics.
  • Description:
    Preface -- Acknowledgements -- Background -- Data Sources and Limitations -- Summary of Data -- National STD Profile -- IHS Area STD Profiles -- Tables -- Appendices -- Appendix A: Comparison of IHS Service Population and IHS Eligible Population--2004 Estimates -- Appendix B: Counties Shared Between IHS Areas or Partially Contained Within an IHS Area--2003 Percentage Splits -- References

    "Indian Health Surveillance Report--Sexually Transmitted Diseases 2004 presents statistics and trends for sexually transmitted diseases (STDs) among American Indians and Alaska Natives (AI/AN) in the United States (U.S.). This inaugural report represents a unique collaboration and partnership between the Centers for Disease Control and Prevention (CDC) and the Indian Health Service (IHS). Most of the AI/AN-specific data provided in this report are the result of a new surveillance methodology, whereby existing nationally notifiable STD data reported to CDC were analyzed using standard IHS populations and methods. Indian Health Surveillance Report--Sexually Transmitted Diseases 2004 consists of two main parts. The National STD Profile (1984-2004) contains text and figures that provide an overview of STD morbidity among AI/AN in the U.S. The IHS Area STD Profiles (1998-2004) present STD rates and trends for the 12 IHS administrative areas. It is our hope that the surveillance methodology used in this report will serve as a model and framework for analyzing AI/AN-specific data for other nationally notifiable diseases (e.g. hepatitis, tuberculosis) and for other priority health conditions (e.g. diabetes, mental health). Such reports are essential for increasing the accessibility and quality of AI/AN health data and play an important role in monitoring disease trends, identifying high-risk subgroups, and guiding interventions and resources" - preface

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