# Dataset on global trade networks of COVID-19 medical products

## TL;DR

This paper introduces a dataset tracking global trade of COVID-19 medical products in 2019 and 2020, structured as a multilevel network for analysis.

## Contribution

The novel contribution is a multilevel network dataset of global trade in eight categories of medical products related to the pandemic.

## Key findings

- The dataset includes trade flows for 224 countries across eight product categories.
- Trade dynamics are represented as a multilevel network with product categories as layers.
- An R script is provided to convert the dataset into a format for network analysis and visualization.

## Abstract

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.