OBJECTIVES To describe and systematically review the modelling and reporting of cost-effectiveness analysis of vaccination in Hong Kong, and to identify areas for quality enhancement in future cost-effectiveness analyses. METHODS We conducted a comprehensive and systematic review of cost-effectiveness studies related to vaccination and government immunisation programmes in Hong Kong published...

In this research, we investigate a generalized form of Vidale-Wolfe (GVW) model. One key element our modeling work is that the GVW model contains two useful indexes representing advertiser's elasticity and word-of-mouth (WoM) effect, respectively. Moreover, discuss some desirable properties model, present deep neural network-based estimation method to learn its parameters. Furthermore, based on...

This paper proposes attention enabled multi-agent deep reinforcement learning (MADRL) framework for active distribution network decentralized Volt-VAR control. Using the unsupervised clustering, whole system can be decomposed into several sub-networks according to voltage and reactive power sensitivity relationships. Then, distributed control problem of each sub-network is modeled as Markov gam...