Dataset on global trade networks of COVID-19 medical products

被引:0
|
作者
Kurbucz, Marcell T. [1 ,2 ]
Keresztely, Tibor [2 ]
Szikszai, Szabolcs [3 ]
Sugar, Andras [2 ]
Banasz, Zsuzsanna [3 ]
机构
[1] HUN REN Wigner Res Ctr Phys, Inst Particle & Nucl Phys, Dept Computat Sci, 29-33 Konkoly Thege Mikl St, H-1121 Budapest, Hungary
[2] Corvinus Univ Budapest, Inst Data Analyt & Informat Syst, Dept Stat, 8 Fovam Sq, H-1093 Budapest, Hungary
[3] Univ Pannonia, Dept Econ, 10 Egyet St, H-8200 Veszprem, Hungary
来源
DATA IN BRIEF | 2024年 / 55卷
关键词
Data; Pandemic; International economics; Health goods; Social network analysis; Multilevel network;
D O I
10.1016/j.dib.2024.110606
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
This paper presents a comprehensive dataset on the global trade dynamics of COVID-19-related medical products for the years 2019 and 2020. The dataset, derived from the BACI database, focuses on eight distinct product categories identified by six -digit codes. The trade flow data for 224 countries is structured as a multilevel network, with countries as nodes and product categories as layers. Directed edges represent trading activities, and edge weights are determined by the difference in exported values between 2019 and 2020. The dataset is provided in an edges-and-nodes format. Additionally, the associated R script transforms the data into the MuxViz R package format, facilitating further analysis and visualization of the dataset. The dataset is valuable for researchers in the field of foreign trade or medical products, and for decision-makers in these fields, whether at company or national level. (c) 2024 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY license ( http://creativecommons.org/licenses/by/4.0/ )
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页数:8
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