Modelling the epidemiological impact of rotavirus vaccination in Germany--a Bayesian approach

Felix Weidemann1, Manuel Dehnert2, Judith Koch1

  • 1Department for Infectious Disease Epidemiology, Robert Koch Institute, Berlin, Germany.

Vaccine
|July 22, 2014
PubMed

Insights

Routine rotavirus (RV) infant vaccination significantly reduces RV infections in children under 5 years old in Germany. This study models the vaccine

Area of Science:

  • Epidemiology
  • Infectious Diseases
  • Vaccinology

Background:

  • Rotavirus (RV) infection is a leading cause of severe gastroenteritis in young children globally and in Germany.
  • The German Standing Committee on Vaccination (STIKO) recommended routine RV infant immunization in 2013.
  • Statistical modeling was employed to predict the epidemiological impact of RV vaccination in Germany.

Purpose of the Study:

  • To predict the epidemiological impact of routine rotavirus (RV) vaccination in Germany.
  • To estimate RV vaccine effectiveness (VE) in a real-world setting.
  • To assess the population-level incidence of RV infection following high vaccination coverage.

Main Methods:

  • A dynamic, population-based transmission model for RV infection was developed.
  • Bayesian inference with adaptive Markov Chain Monte Carlo was used to estimate RV vaccine effectiveness (VE).
  • Data from communicable disease reporting and vaccination coverage surveys were utilized.

Main Results:

  • RV vaccination demonstrated high effectiveness (VE=96%) against symptomatic RV infection, maintaining maximum protection for approximately three years.
  • Routine vaccination at 90% coverage is predicted to decrease symptomatic RV incidence in children <5 years by 84%, including 2.5% from herd protection.
  • A potential increase in RV incidence was predicted for older age groups (5-59 years and >60 years) ten years post-vaccine introduction.

Conclusions:

  • Routine infant rotavirus (RV) vaccination is projected to substantially lower RV incidence in German children under 5 years old.
  • The study provides estimates of RV vaccine effectiveness (VE) and predicts population-level impacts.
  • Model and prediction uncertainties were addressed in evaluating future statements regarding RV vaccination impact.
Abstract

Related Concept Videos

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:
1.3K
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:  
1.6K
Vaccinations01:51

Vaccinations

Overview
43.9K
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...
2.1K
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...
71
Bacterial Gastroenteritis01:18

Bacterial Gastroenteritis

Bacterial gastroenteritis, characterized by diarrhea, abdominal cramps, and vomiting, is often caused by ingestion of contaminated food or water and is frequently associated with pathogenic Escherichia coli strains. These microbes exploit two principal mechanisms to inflict disease.Shiga toxin–producing E. coli, also referred to as STEC—notably O157:H7—release Shiga toxins that target ribosomes, blocking protein synthesis. The B subunit of the toxin binds the host glycolipid...
84