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Related Concept Videos

Cluster Sampling Method01:20

Cluster Sampling Method

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Appropriate sampling methods ensure that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
To choose a cluster sample, divide the population into clusters (groups) and then randomly select some of the clusters. All the members from these clusters are in the cluster sample. For example, if you randomly sample four departments from your...
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Sampling is a crucial step in analytical chemistry, allowing researchers to collect representative data from a large population. Common sampling methods include random, judgmental, systematic, stratified, and cluster sampling.
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Systematic Sampling Method01:17

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Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
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Stratified Sampling Method01:16

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Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. The sampling method ensures that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
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Convenience Sampling Method00:55

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Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures that samples are drawn without bias and accurately represent the population.
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Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest. Among the various sampling methods used by...
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Cluster sampling methodology to evaluate immunization coverage.

Aishwarya Sharma1, R B Jain2, Jitesh Satija3

  • 1Department of Community Medicine, School of Medical Sciences & Research, Sharda University, Greater Noida 201306, UP, India. aishwarya_712@yahoo.in.

World Journal of Methodology
|September 23, 2024
PubMed
Summary
This summary is machine-generated.

This study found that 86.7% of children aged 12-23 months achieved full immunization, indicating optimal vaccine coverage despite the COVID-19 pandemic. Key factors influencing immunization included place of birth and immunization card availability.

Keywords:
COVID 19 pandemicChildrenFamily healthImmunization coverageRoutine immunizationVaccines

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Area of Science:

  • Public Health
  • Epidemiology
  • Pediatrics

Background:

  • Immunization is crucial for preventing infectious diseases and is a fundamental healthcare component.
  • The COVID-19 pandemic has disrupted health systems, leading to missed childhood vaccinations.
  • Essential childhood vaccines are vital for public health and disease control.

Purpose of the Study:

  • To assess immunization coverage in children aged 12-23 months in rural Dighal.
  • To identify factors affecting immunization rates in the study population.
  • To evaluate the impact of the COVID-19 pandemic on childhood vaccination.

Main Methods:

  • A World Health Organization-standard 30-cluster sampling technique was employed for the coverage evaluation survey.
  • Immunization data were collected from immunization cards of 300 children aged 12-23 months.
  • The study was conducted in 2020/2021, a period marked by COVID-19 related health service disruptions.

Main Results:

  • Full immunization was achieved by 86.7% of children; 9% were partially immunized, and 4.3% were non-immunized.
  • The full immunization dropout rate was 4.2%.
  • Significant predictors of immunization status included place of birth (P=0.014) and availability of an immunization card (P<0.001). Common reasons for incomplete vaccination included maternal illness, vaccine unavailability, and child's illness.

Conclusions:

  • Despite COVID-19 pandemic-related disruptions, immunization coverage in the study area was optimal, exceeding the national average.
  • The findings suggest that immunization programs can maintain high coverage rates even during public health crises.
  • Factors such as place of birth and access to immunization cards are critical for ensuring complete childhood vaccination.