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Computer-assisted rapid surveys in developing countries.

R R Frerichs1, K T Tar

  • 1School of Public Health, University of California, Los Angeles 90024-1772.

Public Health Reports (Washington, D.C. : 1974)
|January 1, 1989
PubMed
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Rapid survey methodology (RSM) enables quick health status assessments in developing nations. This approach combines sampling techniques with portable computers for timely data analysis and program planning.

Area of Science:

  • Public Health
  • Epidemiology
  • Health Informatics

Background:

  • Health surveys are crucial for population-based data in developing countries.
  • Traditional surveys are often too time-consuming for immediate decision-making needs.
  • Rapid Survey Methodology (RSM) offers a timely alternative for community health data.

Purpose of the Study:

  • To introduce and describe the Rapid Survey Methodology (RSM).
  • To demonstrate the application of RSM in a real-world setting.
  • To outline the requirements and procedures for implementing RSM in developing regions.

Main Methods:

  • Combines standard sample survey methods with contemporary software on portable microcomputers.
  • Utilizes cluster sampling theory adapted for local environments.

Related Experiment Videos

  • Employs portable, battery-powered microcomputers for data processing and analysis in the field.

    • Main Results:

    • RSM was successfully implemented in Hlegu Township, Burma, for a child health survey.
    • Fieldwork began May 4, 1987; data processing and analysis were completed within four days.
    • A comprehensive 50-page report was issued within 10 days of commencing fieldwork.

    Conclusions:

    • RSM provides a feasible and efficient approach for rapid health data collection and analysis.
    • The methodology is particularly valuable for informing program priorities and monitoring activities in resource-limited settings.
    • Successful implementation in Burma demonstrates the potential of RSM for improving public health decision-making globally.