An Intelligent Mechanism for COVID-19 Emergency Resource Coordination and Follow-Up Response

Abstract

As a serious emergency in 2020, COVID-19 had a great impact on people’s lives. In this paper, short-term and long-term response to emergency supplies needs after the outbreak of COVID-19 in a region is studied. Firstly, a comparative study of different regional resource coordination options in the early stages of COVID-19 is conducted using a multiobjective decision-making approach to arrive at the optimal solution. Then, a system dynamics model is established for the follow-up development of the epidemic, to predict the long-term development trend of the epidemic, and to study the urgency of the needs of different materials in different periods. The results show that time and satisfaction are the two most important indicators in the decision-making of the material deployment programme in the early stages of an outbreak. In the long-term control of the epidemic, the number of patients with minor illnesses generally peaks around 20 days, while the number of patients with severe illnesses generally peaks around 40 days, providing a focus for the supply of supplies at different times in the actual development of the epidemic, in order to better and more effectively control the epidemic and reduce inefficient consumption of supplies.

Supply of basic necessities to vulnerable populations during the COVID-19 pandemic: Empirical evidence from Shanghai, China

“…For example, a study used fuzzy number and credibility theory to establish a model to find the optimal order quantity of emergency supplies under the epidemic situation ( 31 ). Another study proposed a method to select a short-term transregional material coordination plan to solve the short-term material supply problem and a system dynamics model to simulate the long-term evolutionary state of COVID-19 and the subsequent material requirements ( 32 ). Compared with these studies, we aimed to introduce the whole process of the basic necessities supply strategy target for vulnerable groups, which include information collection, demand statistics, place orders collectively, allocation calculation, material allocation and verification, material receiving and distribution.…”

Dynamic Evaluation of Transformation Ability for Emergency Scientific Research Achievements Based on an Improved Minimum Distance-Maximum Entropy Combination Weighting Method: A Case Study of COVID-19 Epidemic Data

“…(a) e experts rank the indicators x j according to their importance, satisfying 3,2) between adjacent indicators, i.e., the ratio of the relative importance degree of indicators x (k−1) and x k .…”

“…e sudden outbreak of the "COVID-19" epidemic in 2020 has had a great impact on the economic development of various countries and even the world, which is considered to be one of the greatest challenges and tragedies of the century after World War II [1]. It has resulted in the death of hundreds of thousands of people around the world, posed an urgent challenge to medical professionals, and exposed the weaknesses of national health systems [2,3]. COVID-19 rapidly caused major economic and social disruptions on an unprecedented scale [4,5].…”

WOMDI-Apriori Data Mining Algorithm for Clustered Indicators Analysis of Specialty Groups in Higher Vocational Colleges

“…The research and solution of problems in the social science field also increasingly rely on the use of big data methods. For example, the genetic algorithm is used to optimize production scheduling problem [9].The intelligent mechanism is established to realize the coordination and subsequent response of emergency resources [10]. Text data mining is used to analyze the relationship between innovation and development in economic field [11].…”