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Active surveillance of adverse events following immunization (AEFI): a prospective 3-year vaccine safety study

Juny Sebastian1, Parthasarathi Gurumurthy2, Mandyam Dhati Ravi3

  • 1Department of Pharmacy Practice, JSS College of Pharmacy, JSS Academy of Higher Education & Research, Mysuru, Karnataka, India.

Insights

This study found a 13.7% incidence of adverse events following immunization (AEFIs) in Indian children, with fever being the most common. Vaccine safety surveillance is crucial for monitoring potential risks.

Area of Science:

  • Pediatric vaccine safety
  • Immunization surveillance
  • Public health research

Background:

  • Vaccine safety is paramount, alongside efficacy, in national immunization programs.
  • Understanding adverse events following immunization (AEFIs) is critical for public trust and program success.
  • This study focused on AEFIs in a pediatric population in India.

Purpose of the Study:

  • To detect and analyze adverse events following immunization (AEFIs) in children aged 0-5 years.
  • To assess the incidence and types of AEFIs associated with vaccines in a specific Indian cohort.
  • To evaluate the causality of reported AEFIs using a standardized WHO algorithm.

Main Methods:

  • Prospective active vaccine safety surveillance of children aged 0-5 years.
  • In-person monitoring for 30 minutes post-vaccination and follow-up telephonic surveys at 8 days.
  • Causality assessment of AEFIs using the World Health Organization's safety and vigilance algorithm.

Main Results:

  • The overall incidence of AEFIs was 13.7%.
  • Fever was the most frequent AEFI (93.2%), followed by persistent crying and diarrhea.
  • Pentavac® and BCG were the vaccines most frequently implicated in AEFIs, with 93.4% showing a consistent causal association.

Conclusions:

  • A higher incidence of AEFIs was observed compared to previous studies.
  • AEFI surveillance is vital for detecting changes in adverse event frequency.
  • Findings may indicate potential vaccine quality issues or specific local risks within the population.
Abstract

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