The extent of gender and race/ethnicity imbalance in infectious disease dynamics research

Publication practices accumulate to affect credibility and career advancement. Understanding authorship and citation practices is critical to addressing inequities. While citation bias has been demonstrated in several fields, it remains uncharacterized in infectious disease dynamics (IDD), a quantitative, interdisciplinary domain highly visible during the COVID-19 pandemic. We analyze IDD articles and their bibliographies from 2000-2019 using machine-learning algorithms to infer the gender and race/ethnicity of each article's lead and senior author. We examine authorship and citation patterns by gender and racial group across geographic scales, including characterizing the author composition of each article's bibliography relative to the field. Our analysis reveals persistent gender and race imbalances in IDD research. Man-authored and White-authored publications dominate the field, with little progress in racial diversification of US and UK publications over the last two decades. Woman..., , , # The extent of gender and race/ethnicity imbalance in infectious disease dynamics research

[https://doi.org/10.5061/dryad.djh9w0w98](https://doi.org/10.5061/dryad.djh9w0w98)

## Description of the data and file structure

This repository provides the source code for the following study: \"The extent of gender and race/ethnicity imbalance in infectious disease dynamics research.\" We also provide anonymized data to reproduce the figures in the text in compliance with our data-sharing agreement with Clarivate.

The data files are already embedded with the appropriate directory structure in the zip file. These data comprise articles in the field of infectious disease dynamics, the inferred gender and race of their authors, the author's country of affiliation, and the Journal Impact Factor where the article was published. We analyze patterns in these data to understand how authorship and citation practices vary across the field.

Data are first pulled from Web of Science using the workflow ...,