" This Comment article supports SDG 3 and 10 by proposing that future studies exploring the link between racism and health inequalities are designed with more theoretically informed research questions, whose findings can more readily help tackle existing problems. Suggested areas for further research include the impact of neighourhood desegregation, increased racial diversity in labour markets, and reduced mass incarceration in diminishing racial health inequalities.
This Comment supports SDGs 3 and 10 by highlighting inequities in palliative care between racial groups, including differences in the use of palliative care services, symptom control, and the documentation and implementation of people's end of life wishes.
This Article supprts SDGs 3 and 10 by assessing the performance of four severity scoring systems used for case-mix determination and benchmarking in intensive care units to identify possible ethnicity-based bias. The study found systemic differences in calibration across ethnicities.
Background: The objective of the current study is to investigate whether an area-level measure of racial sentiment derived from Twitter data is associated with state-level hate crimes and existing measures of racial prejudice at the individual-level. Methods: We collected 30,977,757 tweets from June 2015–July 2018 containing at least one keyword pertaining to specific groups (Asians, Arabs, Blacks, Latinos, Whites). We characterized sentiment of each tweet (negative vs all other) and averaged at the state-level.

The Lancet Digital Health, Volume 3, March 2021

This Comment supports SDGs 3 and 10 by highlighting the role of data scientists in challenging racism and discrimination. The Comment highlights how structural inequalities in society are easily encoded in datasets and in the application of data science, which can reinforce existing injustices.
Elsevier, Blood, Volume 137, 7 January 2021
The term “benign ethnic neutropenia” describes the phenotype of having an absolute neutrophil count (ANC)