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Indian health surveillance report; sexually transmitted diseases 2009
  • Published Date:
    January 2012
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Indian health surveillance report; sexually transmitted diseases 2009
  • Alternative Title:
    Sexually transmitted diseases 2009
  • 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--2008 Estimates -- Appendix B: Counties Shared Between IHS Areas or Partially Contained Within an IHS Area--2006 Percentage Splits -- References

    "Indian Health Surveillance Report--Sexually Transmitted Diseases 2009 presents statistics and trends for sexually transmitted diseases (STDs) among American Indians and Alaska Natives (AI/AN) in the United States (U.S.). The initial Indian Health Service Surveillance Report--Sexually Transmitted Diseases, containing data through 2004, was published in November 2006. This 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 novel surveillance methodology, whereby existing nationally notifiable STD data reported to CDC were analyzed using standard IHS populations and methods. The Indian Health Surveillance Report--Sexually Transmitted Diseases 2009 consists of two main parts: the National STD Pro file (1984-2009) contains text and figures that provide an overview of STD morbidity among AI/AN in the U.S.; the IHS Area STD Pro files (1998-2009) present STD rates and trends for the 12 IHS administrative areas. The surveillance methodology used in this report has served 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. cancer, 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 at-risk populations, and guiding interventions and resources." - preface

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