Optimizing age specific strategies of vaccination for prevention of cytomegalovirus infection in the US using

Dawei Wang1, Yao-Hsuan Chen2, Mario Ventresca3

  • 1Health Economic and Decision Sciences, Merck & Co., Inc., Kenilworth, NJ, USA.

Epidemics
|June 24, 2023
PubMed
Abstract

Insights

A pediatric cytomegalovirus (CMV) vaccination program is crucial for reducing birth defects. Early childhood vaccination offers the most benefit, though vaccinating reproductive-aged females also shows potential for CMV prevention.

Area of Science:

  • Virology
  • Immunology
  • Public Health

Background:

  • Cytomegalovirus (CMV) is the leading cause of congenital birth defects in the US.
  • Despite ongoing clinical trials for CMV vaccines, optimal vaccination strategies require further investigation.

Purpose of the Study:

  • To evaluate the impact of different vaccination strategies on CMV transmission.
  • To identify the most effective vaccination programs for CMV prevention in the US population.

Main Methods:

  • Development of an agent-based model simulating CMV transmission within the US population.
  • Evaluation of 648 vaccination scenarios varying age, efficacy, duration, and coverage.

Main Results:

  • Early childhood vaccination emerged as the optimal strategy across all evaluated scenarios.
  • Vaccinating females of reproductive age (around 25) showed modest benefits with high coverage and long-lasting protection.

Conclusions:

  • A pediatric vaccination program is essential for mitigating CMV in the United States.
  • The developed model can inform future CMV vaccine trial design and program implementation.

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:
426
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...
131
Healthcare Associated Infections II: Preventive Measures01:22

Healthcare Associated Infections II: Preventive Measures

Essential infection prevention measures are based on the knowledge of the infection chain, the modes of transmission in healthcare settings, and the use of the best practices in all healthcare settings. Compulsory public reporting of healthcare-associated infection rates is needed to allow individuals and the community to make informed choices regarding selecting a healthcare facility.
The best practices for preventing healthcare-associated infections include hand hygiene, patient risk...
2.7K