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A computer program to calculate indicators of descriptive epidemiology.

E Bidoli1, A Redivo, S Franceschi

  • 1Servizio di Epidemiologia, Centro di Riferimento Oncologico, Via Pedemontana Occ., Aviano, PN, 33081, Italy.

Computers and Biomedical Research, an International Journal
|June 5, 1999
PubMed
Summary

This study introduces flexible Statistical Analysis System macros for calculating epidemiological indicators. These tools simplify health status monitoring and analysis of disease patterns across populations.

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Area of Science:

  • Epidemiology
  • Biostatistics
  • Public Health

Background:

  • Comparing incidence and mortality data across regions is crucial for population health assessment.
  • Standard statistical indicators like age-specific rates and standardized ratios are vital but complex to compute.
  • Existing statistical packages often lack the flexibility needed for specific epidemiological research.

Purpose of the Study:

  • To develop a set of Statistical Analysis System (SAS) macros to simplify the calculation of key epidemiological indicators.
  • To enhance the process of data handling, including reading and writing standard file formats.
  • To provide a flexible and transferable tool for descriptive epidemiological studies.

Main Methods:

  • Development of specialized SAS macros for computing epidemiological indicators.

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  • Implementation of data input/output functionalities for standard file formats.
  • Testing and illustration using published Italian incidence data.

    • Main Results:

    • The developed SAS macros efficiently compute various epidemiological indicators and their confidence intervals.
    • Macros offer flexibility, expandability, and cross-platform compatibility.
    • The tools facilitate the analysis of health status and disease patterns.

    Conclusions:

    • The SAS macros provide a valuable, user-friendly solution for complex epidemiological data analysis.
    • These tools enhance the monitoring of population health and the investigation of disease determinants.
    • The macros add significant value to raw epidemiological data, supporting research and public health initiatives.