Increasing the accuracy of the Expanded Programme on Immunization's cluster survey design

Area of Science:

• Public Health
• Epidemiology
• Biostatistics

Background:

• The Expanded Programme on Immunization (EPI) developed a cluster survey design for rapid assessment of vaccination coverage in developing countries.
• The EPI methodology is widely used due to its simplicity and familiarity.
• It is also employed for detecting small changes in high vaccination coverage and estimating other population parameters with moderate accuracy.

Purpose of the Study:

• To suggest techniques for enhancing the accuracy of the EPI cluster survey method.
• To provide methods for more precise estimation of vaccination coverage and other population parameters.

Main Methods:

• Segmenting sample clusters to create manageable areas for counting, mapping, and listing.
• Selecting housing units within clusters using an equal probability sampling method.
• Utilizing a fixed number of housing units per sample cluster.
• Implementing weighted analyses for data interpretation.

Main Results:

• The proposed techniques aim to improve the precision of estimators derived from EPI cluster surveys.
• Accurate estimators and corresponding standard errors can be obtained through these enhanced procedures.
• The methods facilitate more reliable assessments of vaccination coverage and population parameters.

Conclusions:

• The suggested modifications enhance the accuracy and reliability of the EPI cluster survey methodology.
• These improved techniques are valuable for public health surveillance and research.
• Accurate data from cluster surveys support evidence-based decision-making in immunization programs.