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Excess Mortality During the COVID-19 Pandemic in Philadelphia
- Source :
- Am J Public Health
- Publication Year :
- 2023
-
Abstract
- Objectives. To estimate excess all-cause mortality in Philadelphia, Pennsylvania, during the COVID-19 pandemic and understand the distribution of excess mortality in the population. Methods. With a Poisson model trained on recent historical data from the Pennsylvania vital registration system, we estimated expected weekly mortality in 2020. We compared these estimates with observed mortality to estimate excess mortality. We further examined the distribution of excess mortality by age, sex, and race/ethnicity. Results. There were an estimated 3550 excess deaths between March 22, 2020, and January 2, 2021, a 32% increase above expectations. Only 77% of excess deaths (n = 2725) were attributed to COVID-19 on the death certificate. Excess mortality was disproportionately high among older adults and people of color. Sex differences varied by race/ethnicity. Conclusions. Excess deaths during the pandemic were not fully explained by COVID-19 mortality; official counts significantly undercount the true death toll. Far from being a great equalizer, the COVID-19 pandemic has exacerbated preexisting disparities in mortality by race/ethnicity. Public Health Implications. Mortality data must be disaggregated by age, sex, and race/ethnicity to accurately understand disparities among groups.
- Subjects :
- Adult
Male
2019-20 coronavirus outbreak
Coronavirus disease 2019 (COVID-19)
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)
Population
01 natural sciences
Disease Outbreaks
03 medical and health sciences
Young Adult
0302 clinical medicine
Cause of Death
Pandemic
Ethnicity
Medicine
Humans
030212 general & internal medicine
0101 mathematics
Mortality
education
Pandemics
Aged
Excess mortality
Philadelphia
education.field_of_study
Research & Analysis
business.industry
SARS-CoV-2
010102 general mathematics
Public Health, Environmental and Occupational Health
COVID-19
Middle Aged
Opinions, Ideas, & Practice
Public Health
business
Demography
Subjects
Details
- ISSN :
- 15410048
- Volume :
- 111
- Issue :
- 7
- Database :
- OpenAIRE
- Journal :
- American journal of public health
- Accession number :
- edsair.doi.dedup.....48a0ae4c0449eea3e4dcb48a773ffd1a