Related Experiment Video

Updated: Aug 12, 2026

Facilitating the Analysis of Immunological Data with Visual Analytic Techniques
10:58

Facilitating the Analysis of Immunological Data with Visual Analytic Techniques

Published on: January 3, 2011

[Value of vaccination data analysis at the district level]

M S Soltani1, Z Belghith, H Gacem

  • 1Département de Médecine communautaire, Faculté de Médecine de Monastir, Tunisie.

Eastern Mediterranean Health Journal = La Revue De Sante De La Mediterranee Orientale = Al-Majallah Al-Sihhiyah Li-Sharq Al-Mutawassit
|May 4, 2000
PubMed

Insights

Analyzing local immunization data is crucial for enhancing national prevention programs. Local data reveals that while most children receive vaccines, fewer meet age and time interval requirements, highlighting areas for improvement.

Area of Science:

  • Public Health
  • Epidemiology
  • Health Services Research

Context:

  • National immunization programs rely on accurate data for effective public health strategies.
  • Basic health centers maintain immunization registers crucial for monitoring vaccination coverage and timeliness.

Purpose:

  • To highlight the significance of analyzing local immunization data to enhance national prevention program performance.
  • To assess immunization coverage and adherence to age and time interval schedules within a local health system.

Summary:

  • Analysis of 1271 children's immunization records revealed that 81.9% received all required vaccines, but only 48.5% met age and time interval criteria.
  • The study identified high-performing health centers and specific vaccinations requiring greater professional attention, indicating disparities in program implementation.

Impact:

  • Provides actionable insights for improving national immunization strategies through localized data analysis.
  • Identifies specific areas and vaccinations needing targeted interventions to optimize public health outcomes.

More Related Videos

Evaluation of Host-Pathogen Responses and Vaccine Efficacy in Mice08:52

Evaluation of Host-Pathogen Responses and Vaccine Efficacy in Mice

Published on: February 22, 2019

Pseudotyped Viruses As a Molecular Tool to Monitor Humoral Immune Responses Against SARS-CoV-2 Via Neutralization Assay05:49

Pseudotyped Viruses As a Molecular Tool to Monitor Humoral Immune Responses Against SARS-CoV-2 Via Neutralization Assay

Published on: November 21, 2023

Related Concept Videos

Vaccinations01:51

Vaccinations

Overview
Bioequivalence Data: Statistical Interpretation01:16

Bioequivalence Data: Statistical Interpretation

The statistical interpretation of bioequivalence data is a significant aspect of pharmaceutical research. Bioequivalence refers to the absence of any significant difference in the rate and extent to which the active ingredient in pharmaceutical products becomes available at the site of drug action when administered at the same molar dose under similar conditions. This helps determine if different drug products have similar absorption rates, ensuring their interchangeability.Statistical...
Statistical Methods for Analyzing Epidemiological Data01:25

Statistical Methods for Analyzing Epidemiological Data

Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
Steps in Outbreak Investigation01:18

Steps in Outbreak Investigation

In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:
Principles of Disease Surveillance01:26

Principles of Disease Surveillance

Disease surveillance is the systematic collection, analysis, and interpretation of health data essential to the planning, implementation, and evaluation of public health practice. This process integrates data dissemination to entities responsible for preventing and controlling disease, injury, and disability. Surveillance systems provide crucial information for action, helping public health authorities make informed decisions to manage and prevent outbreaks, ensure public safety, optimize...
Statistical Software for Data Analysis and Clinical Trials01:12

Statistical Software for Data Analysis and Clinical Trials

Statistical software is pivotal in data analysis and clinical trials by providing tools to analyze data, draw conclusions, and make predictions. These software packages range from simple data management applications to complex analytical platforms, supporting various statistical tests, models, and simulation techniques. Their significance lies in their ability to handle vast amounts of data with precision and efficiency, enabling researchers to validate hypotheses, identify trends, and make...