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Tracking the reach of COVID-19 kin loss with a bereavement multiplier applied to the United States

The coronavirus disease 2019 (COVID-19) pandemic has led to a large increase in mortality in the United States and around the world, leaving many grieving the sudden loss of family members. We created an indicator—the COVID-19 bereavement multiplier—that estimates the average number of individuals w...

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Autores principales: Verdery, Ashton M., Smith-Greenaway, Emily, Margolis, Rachel, Daw, Jonathan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: National Academy of Sciences 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7395491/
https://www.ncbi.nlm.nih.gov/pubmed/32651279
http://dx.doi.org/10.1073/pnas.2007476117
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author Verdery, Ashton M.
Smith-Greenaway, Emily
Margolis, Rachel
Daw, Jonathan
author_facet Verdery, Ashton M.
Smith-Greenaway, Emily
Margolis, Rachel
Daw, Jonathan
author_sort Verdery, Ashton M.
collection PubMed
description The coronavirus disease 2019 (COVID-19) pandemic has led to a large increase in mortality in the United States and around the world, leaving many grieving the sudden loss of family members. We created an indicator—the COVID-19 bereavement multiplier—that estimates the average number of individuals who will experience the death of a close relative (defined as a grandparent, parent, sibling, spouse, or child) for each COVID-19 death. Using demographic microsimulation-based estimates of kinship networks in the United States, the clear age gradient in COVID-19 mortality seen across contexts, and several hypothetical infection prevalence scenarios, we estimate COVID-19 bereavement multipliers for White and Black individuals in the United States. Our analysis shows that for every COVID-19 death, approximately nine surviving Americans will lose a grandparent, parent, sibling, spouse, or child. These estimates imply, for example, that if 190,000 Americans die from COVID-19, as some models project, then ∼1.7 million will experience the death of a close relative. We demonstrate that our estimates of the bereavement multiplier are stable across epidemiological realities, including infection scenarios, total number of deaths, and the distribution of deaths, which means researchers can estimate the bereavement burden over the course of the epidemic in lockstep with rising death tolls. In addition, we provide estimates of bereavement multipliers by age group, types of kin loss, and race to illuminate prospective disparities. The bereavement multiplier is a useful indicator for tracking COVID-19’s multiplicative impact as it reverberates across American families and can be tailored to other causes of death.
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spelling pubmed-73954912020-08-07 Tracking the reach of COVID-19 kin loss with a bereavement multiplier applied to the United States Verdery, Ashton M. Smith-Greenaway, Emily Margolis, Rachel Daw, Jonathan Proc Natl Acad Sci U S A Social Sciences The coronavirus disease 2019 (COVID-19) pandemic has led to a large increase in mortality in the United States and around the world, leaving many grieving the sudden loss of family members. We created an indicator—the COVID-19 bereavement multiplier—that estimates the average number of individuals who will experience the death of a close relative (defined as a grandparent, parent, sibling, spouse, or child) for each COVID-19 death. Using demographic microsimulation-based estimates of kinship networks in the United States, the clear age gradient in COVID-19 mortality seen across contexts, and several hypothetical infection prevalence scenarios, we estimate COVID-19 bereavement multipliers for White and Black individuals in the United States. Our analysis shows that for every COVID-19 death, approximately nine surviving Americans will lose a grandparent, parent, sibling, spouse, or child. These estimates imply, for example, that if 190,000 Americans die from COVID-19, as some models project, then ∼1.7 million will experience the death of a close relative. We demonstrate that our estimates of the bereavement multiplier are stable across epidemiological realities, including infection scenarios, total number of deaths, and the distribution of deaths, which means researchers can estimate the bereavement burden over the course of the epidemic in lockstep with rising death tolls. In addition, we provide estimates of bereavement multipliers by age group, types of kin loss, and race to illuminate prospective disparities. The bereavement multiplier is a useful indicator for tracking COVID-19’s multiplicative impact as it reverberates across American families and can be tailored to other causes of death. National Academy of Sciences 2020-07-28 2020-07-10 /pmc/articles/PMC7395491/ /pubmed/32651279 http://dx.doi.org/10.1073/pnas.2007476117 Text en Copyright © 2020 the Author(s). Published by PNAS. http://creativecommons.org/licenses/by/4.0/ https://creativecommons.org/licenses/by/4.0/This open access article is distributed under Creative Commons Attribution License 4.0 (CC BY) (http://creativecommons.org/licenses/by/4.0/) .
spellingShingle Social Sciences
Verdery, Ashton M.
Smith-Greenaway, Emily
Margolis, Rachel
Daw, Jonathan
Tracking the reach of COVID-19 kin loss with a bereavement multiplier applied to the United States
title Tracking the reach of COVID-19 kin loss with a bereavement multiplier applied to the United States
title_full Tracking the reach of COVID-19 kin loss with a bereavement multiplier applied to the United States
title_fullStr Tracking the reach of COVID-19 kin loss with a bereavement multiplier applied to the United States
title_full_unstemmed Tracking the reach of COVID-19 kin loss with a bereavement multiplier applied to the United States
title_short Tracking the reach of COVID-19 kin loss with a bereavement multiplier applied to the United States
title_sort tracking the reach of covid-19 kin loss with a bereavement multiplier applied to the united states
topic Social Sciences
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7395491/
https://www.ncbi.nlm.nih.gov/pubmed/32651279
http://dx.doi.org/10.1073/pnas.2007476117
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