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A modified cluster-sampling method for post-disaster rapid assessment of needs

J Malilay1, W D Flanders, D Brogan

  • 1Disaster Assessment and Epidemiology Section, Centers for Disease Control and Prevention, Atlanta, GA 30341-3724, USA.

Bulletin of the World Health Organization
|January 1, 1996
PubMed
Summary

Cluster sampling enables rapid health needs assessment post-disaster. This modified method estimates remaining populations and specific needs, improving on previous disaster assessment techniques.

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Area of Science:

  • Disaster management
  • Public health surveillance
  • Epidemiological methods

Background:

  • Rapid needs assessments are crucial for communities affected by natural disasters.
  • Existing methods often focus solely on the proportion of the population with specific needs.
  • There is a need for improved methods to estimate both population displacement and specific needs post-disaster.

Purpose of the Study:

  • To adapt the World Health Organization's Expanded Programme on Immunization cluster-sampling method for post-disaster needs assessment.
  • To develop a modified survey design capable of estimating remaining populations and individuals with specific needs.
  • To provide a framework for assessing damage severity and housing status in disaster-affected areas.

Main Methods:

  • Utilizing a modified n x k cluster-sampling design.

Related Experiment Videos

  • Adapting the methodology from the World Health Organization's Expanded Programme on Immunization coverage estimation.
  • Implementing a survey to collect data on population, needs, and housing.

    • Main Results:

    • The modified cluster-sampling method provides estimates of the remaining population in a disaster-affected area.
    • The approach allows for the estimation of the number of people with specific health and other needs.
    • The survey design can track changes in these estimates over time, offering a dynamic view of the post-disaster situation.

    Conclusions:

    • The proposed modified cluster-sampling method offers a more comprehensive approach to rapid post-disaster needs assessment.
    • This method enhances the ability to estimate both population presence and specific needs, unlike previous approaches.
    • The adaptable survey design can be used to monitor evolving conditions and inform targeted interventions in disaster-stricken communities.