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10.2105/AJPH.2021.306285

http://scihub22266oqcxt.onion/10.2105/AJPH.2021.306285
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34111937!8493130!34111937
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suck abstract from ncbi


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pmid34111937      Am+J+Public+Health 2021 ; 111 (7): 1352-1357
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  • Excess Mortality During the COVID-19 Pandemic in Philadelphia #MMPMID34111937
  • Todd M; Pharis M; Gulino SP; Robbins JM; Bettigole C
  • Am J Public Health 2021[Jul]; 111 (7): 1352-1357 PMID34111937show ga
  • 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.
  • |Adult[MESH]
  • |Aged[MESH]
  • |COVID-19/*mortality[MESH]
  • |Cause of Death/trends[MESH]
  • |Disease Outbreaks/*statistics & numerical data[MESH]
  • |Ethnicity/*statistics & numerical data[MESH]
  • |Humans[MESH]
  • |Male[MESH]
  • |Middle Aged[MESH]
  • |Mortality[MESH]
  • |Philadelphia[MESH]


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