Practical observations from an epidemiological investigation of a measles outbreak in a district of India

Ashok Mishra1, Subodh Mishra, Chandrakant Lahariya

  • 1Department of Community Medicine, Gajara Raja Medical College, Gwalior, MP - 474 009, India.

Abstract

Insights

Measles outbreaks in India disproportionately affect unvaccinated children under five. Low vaccination rates and potential vaccine failure necessitate improved surveillance and vaccination strategies for measles elimination.

Area of Science:

  • Epidemiology
  • Public Health
  • Vaccinology

Background:

  • Measles significantly contributes to childhood morbidity and mortality globally, representing nearly half of vaccine-preventable disease burden.
  • India experiences frequent measles outbreaks, yet investigations remain limited, highlighting a critical public health surveillance gap.

Purpose of the Study:

  • To investigate and assess epidemiological factors contributing to a measles outbreak in Shivpuri District, Madhya Pradesh, India.
  • To understand the impact of vaccination status and identify potential challenges in measles control.

Main Methods:

  • A cross-sectional study employing cluster sampling surveyed 212 villages in Shivpuri District, Madhya Pradesh.
  • House-to-house surveys were conducted from May 12-19, 2004, in villages reporting measles cases.

Main Results:

  • The outbreak involved 1204 cases and 14 deaths, with an attack rate of 6.2% and case fatality rate of 1.2%.
  • Diarrhea was the most common post-measles complication, affecting 17.7% of cases.
  • Routine measles vaccination and Vitamin A supplementation coverage were below 30% in the studied area.

Conclusions:

  • The majority of measles cases occurred in unvaccinated children, particularly those under five years old.
  • Repeated outbreaks and delayed reporting indicate systemic issues.
  • A notable proportion of vaccinated individuals contracting measles suggests possible vaccine failure, especially in older children, underscoring the need for enhanced surveillance, improved cold chain, and increased vaccination coverage to achieve measles elimination goals.

Related Concept Videos

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:
Investigation of Disease Outbreaks01:23

Investigation of Disease Outbreaks

Multistate foodborne outbreaks pose significant public health risks and require meticulous investigation to identify sources and implement control measures. The Centers for Disease Control and Prevention (CDC) utilizes a dynamic seven-step process for these investigations, integrating data from laboratories, interviews, and environmental assessments to protect public health.Outbreak Detection: The detection of multistate outbreaks typically begins with PulseNet, the CDC's national laboratory...
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...
Introduction to Epidemiology01:26

Introduction to Epidemiology

Epidemiology, known as the cornerstone of public health, involves studying the distribution and determinants of health-related events in defined populations and applying these insights to control health issues. This is essential for understanding how diseases spread, identifying populations at greater risk, and implementing measures to control or prevent outbreaks. Epidemiology addresses not only infectious diseases but also non-communicable conditions like cancer and cardiovascular disease,...
Causality in Epidemiology01:21

Causality in Epidemiology

Causality or causation is a fundamental concept in epidemiology, vital for understanding the relationships between various factors and health outcomes. Despite its importance, there's no single, universally accepted definition of causality within the discipline. Drawing from a systematic review, causality in epidemiology encompasses several definitions, including production, necessary and sufficient, sufficient-component, counterfactual, and probabilistic models. Each has its strengths and...
Bias in Epidemiological Studies01:29

Bias in Epidemiological Studies

Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is: