New theoretical ISM-K2 Bayesian network model for evaluating vaccination effectiveness

Abstract

Aiming at the difficulty in obtaining a complete Bayesian network (BN) structure directly through search-scoring algorithms, authors attempted to incorporate expert judgment and historical data to construct an interpretive structural model with an ISM-K2 algorithm for evaluating vaccination effectiveness (VE). By analyzing the influenza vaccine data provided by Hunan Provincial Center for Disease Control and Prevention, risk factors influencing VE in each link in the process of “Transportation—Storage—Distribution—Inoculation” were systematically investigated. Subsequently, an evaluation index system of VE and an ISM-K2 BN model were developed. Findings include: (1) The comprehensive quality of the staff handling vaccines has a significant impact on VE; (2) Predictive inference and diagnostic reasoning through the ISM-K2 BN model are stable, effective, and highly interpretable, and consequently, the post-production supervision of vaccines is enhanced. The study provides a theoretical basis for evaluating VE and a scientific tool for tracking the responsibility of adverse events of ineffective vaccines, which has the value of promotion in improving VE and reducing the transmission rate of infectious diseases.

Multi-threshold image segmentation using an enhanced fruit fly optimization for COVID-19 X-ray images

“…It is critical to note the manner in which the reliability of a technique is impacted by its components and dimensions, as well as what occurs as we strengthen it [99] , [100] . Therefore, the functions' dimension was set to 50, 100, and 200 in equal conditions, respectively, and the comparison experiments between EEFOA and the original FOA were carried out using 30 benchmark functions from CEC2014.…”

q-Rung orthopair fuzzy dynamic aggregation operators with time sequence preference for dynamic decision-making

“…The research has examined the effects of many ambient and meteorology characteristics such as weather, dampness, wind velocity, and industrial pollution. Due to the article’s urban focus, only outcomes pertaining to the outside environment will be covered ( Xie et al, 2022 ). The evidence comes from nations with varying climatic circumstances, including China, Germany, the United States, Argentina, Azerbaijan, Sweden, and Greece.…”

A Disease-Prediction Protocol Integrating Triage Priority and BERT-Based Transfer Learning for Intelligent Triage

“…In recent years, computer technology has been widely applied in the medical field [ 29 , 30 ] and has played an increasingly significant role [ 31 , 32 ]. At present, natural language processing technology has been used in triage and related directions.…”