The impact of historical redlining policies on community composition and the COVID-19 pandemic in Boston

The COVID-19 pandemic has accentuated racial and socioeconomic disparities that have existed in the U.S. because of structural racism. We aimed to understand how the legacy of historical redlining policies was associated with COVID-19 incidence in Boston ZIP code tabulation areas (ZCTAs) from March 2020 to December 2022. Data were extracted from the Institute for Social Research at the University of Michigan, the Boston Public Health Commission, the Boston Planning & Development Agency, and the American Community Survey. We ran a generalized linear model accounting for time to explore the association between historical redlining, characterized as Homeowners' Loan Corporation (HOLC) grade, and monthly COVID-19 incidence rate. Models were adjusted for the proportion of the ZCTA population identified as non-White, were older than 75, homeowners, and foreign-born. We also accounted for the median household value in each ZCTA. We found no significant association between HOLC grade and monthly COVID-19 incidence rate in Boston (IRR: 0.95; 95% CI: 0.80, 1.12). Downstream effects of redlining, such as gentrification and higher median home value, were associated with a higher monthly COVID-19 incidence (IRR: 1.12; 95% CI: 1.01, 1.25). These results highlight the unique ways Boston's historical racist policies have manifested themselves in health outcomes today. Place-based context and history is important when examining redlining in public health research.

Authors

Institutions

Publication Details

Journal
PLoS ONE
Published
2025-06-18
DOI
https://doi.org/10.1371/journal.pone.0324020
Primary Topic
Health disparities and outcomes
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The impact of historical redlining policies on community composition and the COVID-19 pandemic in Boston

Nadia N. Abuelezam, Caitlin O’Connor, Isaacson Michel, Victoria Fisher et al.
PLoS ONE
Health disparities and outcomes
article

The impact of historical redlining policies on community composition and the COVID-19 pandemic in Boston

Nadia N. Abuelezam, Caitlin O’Connor, Isaacson Michel, Victoria Fisher, Nicole B. Alkhouri
article en

Abstract

The COVID-19 pandemic has accentuated racial and socioeconomic disparities that have existed in the U.S. because of structural racism. We aimed to understand how the legacy of historical redlining policies was associated with COVID-19 incidence in Boston ZIP code tabulation areas (ZCTAs) from March 2020 to December 2022. Data were extracted from the Institute for Social Research at the University of Michigan, the Boston Public Health Commission, the Boston Planning & Development Agency, and the American Community Survey. We ran a generalized linear model accounting for time to explore the association between historical redlining, characterized as Homeowners' Loan Corporation (HOLC) grade, and monthly COVID-19 incidence rate. Models were adjusted for the proportion of the ZCTA population identified as non-White, were older than 75, homeowners, and foreign-born. We also accounted for the median household value in each ZCTA. We found no significant association between HOLC grade and monthly COVID-19 incidence rate in Boston (IRR: 0.95; 95% CI: 0.80, 1.12). Downstream effects of redlining, such as gentrification and higher median home value, were associated with a higher monthly COVID-19 incidence (IRR: 1.12; 95% CI: 1.01, 1.25). These results highlight the unique ways Boston's historical racist policies have manifested themselves in health outcomes today. Place-based context and history is important when examining redlining in public health research.

PLoS ONEVol. 20(6)
Boston College (US), Michigan United (US), Michigan State University (US)
National Institute of General Medical Sciences
Good health and well-being
Openalex Percentile: Top 82%
Health disparities and outcomes
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.