Related Experiment Videos

Economic evaluation of alternative PCV13 vaccination strategies in Guangxi, China: a decision tree-Markov model study

Quan He1, Bangjun Pang2, Zhengqin Su1

  • 1School of Public Health and Management, Guangxi University of Chinese Medicine, Nanning, Guangxi, China; Guangxi Key Laboratory of Integrative Traditional Chinese and Western Medicine and Translational Medicine for High-Incidence Infectious Diseases, Nanning, Guangxi, China.

Vaccine
|July 15, 2026
PubMed

Insights

Including the 13-valent pneumococcal conjugate vaccine (PCV13) in China's National Immunization Program (NIP) is cost-effective. This strategy is projected to significantly reduce pneumococcal disease cases and deaths, offering substantial economic benefits and improving public health outcomes for children.

Area of Science:

  • Public Health
  • Health Economics
  • Vaccinology

Background:

  • Pneumococcal disease poses a significant threat to children under five, especially where vaccine coverage is low.
  • China's National Immunization Program (NIP) does not include the 13-valent pneumococcal conjugate vaccine (PCV13), leading to limited uptake.
  • This study assesses the health and economic impact of integrating PCV13 into the Guangxi Zhuang Autonomous Region's immunization schedule.

Purpose of the Study:

  • To evaluate the cost-effectiveness and economic impact of including PCV13 in the Guangxi immunization program.
  • To compare the societal perspective of NIP inclusion versus the current self-paid vaccination strategy.
  • To quantify the potential reduction in pneumococcal disease burden and associated health gains.

Main Methods:

  • A decision tree-Markov model simulated a cohort of 420,000 children over five years.
  • The analysis compared NIP inclusion against the self-paid strategy from a societal perspective.
  • Key outcomes included costs, disease cases, deaths, quality-adjusted life years (QALYs), incremental cost-effectiveness ratios (ICERs), and benefit-cost ratios (BCRs), with a 3% discount rate.

Main Results:

  • NIP inclusion dramatically increased PCV13 coverage, preventing an estimated 77,042 cases and 327 deaths in five years.
  • Despite increased vaccination costs, the program yielded a net economic benefit of USD 3.92 million (BCR: 1.03).
  • An additional 25,702.2 QALYs were generated, with an ICER of USD 6042.75 per QALY, falling below the per capita GDP threshold.

Conclusions:

  • Integrating PCV13 into Guangxi's immunization program is a highly cost-effective strategy.
  • The inclusion is projected to generate positive economic returns and significant health benefits.
  • The findings provide robust evidence supporting policy decisions for PCV13 adoption in the NIP.
Abstract

Related Concept Videos

Decision Making: P-value Method01:09

Decision Making: P-value Method

The process of hypothesis testing based on the P-value method includes calculating the P- value using the sample data and interpreting it.
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim  is also stated. These statements can act as null and alternative hypotheses:  a null hypothesis would be a neutral statement while the alternative hypothesis can have a...
Pharmacokinetic Models: Comparison and Selection Criterion01:26

Pharmacokinetic Models: Comparison and Selection Criterion

Physiological and compartmental models are valuable tools used in studying biological systems. These models rely on differential equations to maintain mass balance within the system, ensuring an accurate representation of the dynamic processes at play.
Physiological models take a detailed approach by considering specific molecular processes. They can predict drug distribution, metabolism, and elimination changes, providing a comprehensive understanding of how drugs interact with the body.
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:
Impact of Pharmacokinetic–Pharmacodynamic Models: Regulatory Decisions01:15

Impact of Pharmacokinetic–Pharmacodynamic Models: Regulatory Decisions

PK–PD modeling has significantly influenced FDA regulatory decisions, particularly drug approval, dosage optimization, and labeling. These models integrate pharmacokinetics (PK) and pharmacodynamics (PD) to predict drug behavior and effects, aiding in optimizing dosing regimens and enhancing the probability of clinical trial success.One notable example is Nesiritide (Natrecor®), a recombinant human brain natriuretic peptide for treating acute decompensated congestive heart failure (CHF).
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches01:23

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast, controlled...
Smallpox01:24

Smallpox

Smallpox is a severe contagious disease caused by the Variola major virus, a double-stranded DNA member of the Poxviridae family.Variola major transmission occurs primarily via inhalation of virus-laden droplets or direct contact with infectious scabs. The incubation period averages approximately seven days, although it may range from 7 to 17 days depending on the inoculum and host factors.Clinically, the prodromal phase is marked by an abrupt onset of high fever, malaise, headache, and myalgia.