| Literature DB >> 35112284 |
Alicia R Riley1, Mathew V Kiang2, Yea-Hung Chen3, Kirsten Bibbins-Domingo3, M Maria Glymour3.
Abstract
Entities:
Keywords: COVID-19; health equity; proportionate mortality; racial disparities; vaccination
Mesh:
Year: 2022 PMID: 35112284 PMCID: PMC8809629 DOI: 10.1007/s11606-021-07380-6
Source DB: PubMed Journal: J Gen Intern Med ISSN: 0884-8734 Impact factor: 6.473
Figure 1Age-standardized COVID-19 mortality rate trends by race/ethnicity and age. Note: smoothed trends estimated using joinpoint regression. We fit weekly age-standardized and age-stratifiedCOVID-19-related mortality rates, by race/ethnicity, using joinpoint regression. Joinpoint regression detects natural changes (i.e., “joins”) in linear trends that best fit observed data. Here, each dark filled circle represents a joinpoint that has a statistically significant change in slope while light circles represent detected changes in the slope that were not statistically significant. Numeric results and model fit statistics are available in the code repository. Source: CA death certificates and 2020 American Community Survey.
Figure 2Proportionate COVID-19 mortality during the pandemic by race/ethnicity and age. Note: Smoothed trends estimated using polynomial regression. We fit weighted quartic polynomial regression to the proportion of weekly deaths for each race-age subgroup relative to the total number of weekly deaths, where the total number of weekly deaths were also the weights. Vertical dotted line indicates the date of vaccine authorization for general population aged 65 and older, January 13, 2021. Horizontal dashed line indicates proportion of the total California population comprised by each subgroup. Source: CA death certificates and 2020 American Community Survey.