Cargando…

Estimating under-recognized COVID-19 deaths, United States, march 2020-may 2021 using an excess mortality modelling approach

BACKGROUND: In the United States, Coronavirus Disease 2019 (COVID-19) deaths are captured through the National Notifiable Disease Surveillance System and death certificates reported to the National Vital Statistics System (NVSS). However, not all COVID-19 deaths are recognized and reported because o...

Descripción completa

Detalles Bibliográficos
Autores principales: Iuliano, A. Danielle, Chang, Howard H., Patel, Neha N., Threlkel, Ryan, Kniss, Krista, Reich, Jeremy, Steele, Molly, Hall, Aron J., Fry, Alicia M., Reed, Carrie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8275579/
https://www.ncbi.nlm.nih.gov/pubmed/34386789
http://dx.doi.org/10.1016/j.lana.2021.100019
_version_ 1783721745455251456
author Iuliano, A. Danielle
Chang, Howard H.
Patel, Neha N.
Threlkel, Ryan
Kniss, Krista
Reich, Jeremy
Steele, Molly
Hall, Aron J.
Fry, Alicia M.
Reed, Carrie
author_facet Iuliano, A. Danielle
Chang, Howard H.
Patel, Neha N.
Threlkel, Ryan
Kniss, Krista
Reich, Jeremy
Steele, Molly
Hall, Aron J.
Fry, Alicia M.
Reed, Carrie
author_sort Iuliano, A. Danielle
collection PubMed
description BACKGROUND: In the United States, Coronavirus Disease 2019 (COVID-19) deaths are captured through the National Notifiable Disease Surveillance System and death certificates reported to the National Vital Statistics System (NVSS). However, not all COVID-19 deaths are recognized and reported because of limitations in testing, exacerbation of chronic health conditions that are listed as the cause of death, or delays in reporting. Estimating deaths may provide a more comprehensive understanding of total COVID-19–attributable deaths. METHODS: We estimated COVID-19 unrecognized attributable deaths, from March 2020—April 2021, using all-cause deaths reported to NVSS by week and six age groups (0–17, 18–49, 50–64, 65–74, 75–84, and ≥85 years) for 50 states, New York City, and the District of Columbia using a linear time series regression model. Reported COVID-19 deaths were subtracted from all-cause deaths before applying the model. Weekly expected deaths, assuming no SARS-CoV-2 circulation and predicted all-cause deaths using SARS-CoV-2 weekly percent positive as a covariate were modelled by age group and including state as a random intercept. COVID-19–attributable unrecognized deaths were calculated for each state and age group by subtracting the expected all-cause deaths from the predicted deaths. FINDINGS: We estimated that 766,611 deaths attributable to COVID-19 occurred in the United States from March 8, 2020—May 29, 2021. Of these, 184,477 (24%) deaths were not documented on death certificates. Eighty-two percent of unrecognized deaths were among persons aged ≥65 years; the proportion of unrecognized deaths were 0•24–0•31 times lower among those 0–17 years relative to all other age groups. More COVID-19–attributable deaths were not captured during the early months of the pandemic (March–May 2020) and during increases in SARS-CoV-2 activity (July 2020, November 2020—February 2021). INTERPRETATION: Estimating COVID-19–attributable unrecognized deaths provides a better understanding of the COVID-19 mortality burden and may better quantify the severity of the COVID-19 pandemic. FUNDING: None
format Online
Article
Text
id pubmed-8275579
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Elsevier
record_format MEDLINE/PubMed
spelling pubmed-82755792021-07-14 Estimating under-recognized COVID-19 deaths, United States, march 2020-may 2021 using an excess mortality modelling approach Iuliano, A. Danielle Chang, Howard H. Patel, Neha N. Threlkel, Ryan Kniss, Krista Reich, Jeremy Steele, Molly Hall, Aron J. Fry, Alicia M. Reed, Carrie Lancet Reg Health Am Research Paper BACKGROUND: In the United States, Coronavirus Disease 2019 (COVID-19) deaths are captured through the National Notifiable Disease Surveillance System and death certificates reported to the National Vital Statistics System (NVSS). However, not all COVID-19 deaths are recognized and reported because of limitations in testing, exacerbation of chronic health conditions that are listed as the cause of death, or delays in reporting. Estimating deaths may provide a more comprehensive understanding of total COVID-19–attributable deaths. METHODS: We estimated COVID-19 unrecognized attributable deaths, from March 2020—April 2021, using all-cause deaths reported to NVSS by week and six age groups (0–17, 18–49, 50–64, 65–74, 75–84, and ≥85 years) for 50 states, New York City, and the District of Columbia using a linear time series regression model. Reported COVID-19 deaths were subtracted from all-cause deaths before applying the model. Weekly expected deaths, assuming no SARS-CoV-2 circulation and predicted all-cause deaths using SARS-CoV-2 weekly percent positive as a covariate were modelled by age group and including state as a random intercept. COVID-19–attributable unrecognized deaths were calculated for each state and age group by subtracting the expected all-cause deaths from the predicted deaths. FINDINGS: We estimated that 766,611 deaths attributable to COVID-19 occurred in the United States from March 8, 2020—May 29, 2021. Of these, 184,477 (24%) deaths were not documented on death certificates. Eighty-two percent of unrecognized deaths were among persons aged ≥65 years; the proportion of unrecognized deaths were 0•24–0•31 times lower among those 0–17 years relative to all other age groups. More COVID-19–attributable deaths were not captured during the early months of the pandemic (March–May 2020) and during increases in SARS-CoV-2 activity (July 2020, November 2020—February 2021). INTERPRETATION: Estimating COVID-19–attributable unrecognized deaths provides a better understanding of the COVID-19 mortality burden and may better quantify the severity of the COVID-19 pandemic. FUNDING: None Elsevier 2021-06-28 /pmc/articles/PMC8275579/ /pubmed/34386789 http://dx.doi.org/10.1016/j.lana.2021.100019 Text en © 2021 The Authors. Published by Elsevier Ltd. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Paper
Iuliano, A. Danielle
Chang, Howard H.
Patel, Neha N.
Threlkel, Ryan
Kniss, Krista
Reich, Jeremy
Steele, Molly
Hall, Aron J.
Fry, Alicia M.
Reed, Carrie
Estimating under-recognized COVID-19 deaths, United States, march 2020-may 2021 using an excess mortality modelling approach
title Estimating under-recognized COVID-19 deaths, United States, march 2020-may 2021 using an excess mortality modelling approach
title_full Estimating under-recognized COVID-19 deaths, United States, march 2020-may 2021 using an excess mortality modelling approach
title_fullStr Estimating under-recognized COVID-19 deaths, United States, march 2020-may 2021 using an excess mortality modelling approach
title_full_unstemmed Estimating under-recognized COVID-19 deaths, United States, march 2020-may 2021 using an excess mortality modelling approach
title_short Estimating under-recognized COVID-19 deaths, United States, march 2020-may 2021 using an excess mortality modelling approach
title_sort estimating under-recognized covid-19 deaths, united states, march 2020-may 2021 using an excess mortality modelling approach
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8275579/
https://www.ncbi.nlm.nih.gov/pubmed/34386789
http://dx.doi.org/10.1016/j.lana.2021.100019
work_keys_str_mv AT iulianoadanielle estimatingunderrecognizedcovid19deathsunitedstatesmarch2020may2021usinganexcessmortalitymodellingapproach
AT changhowardh estimatingunderrecognizedcovid19deathsunitedstatesmarch2020may2021usinganexcessmortalitymodellingapproach
AT patelnehan estimatingunderrecognizedcovid19deathsunitedstatesmarch2020may2021usinganexcessmortalitymodellingapproach
AT threlkelryan estimatingunderrecognizedcovid19deathsunitedstatesmarch2020may2021usinganexcessmortalitymodellingapproach
AT knisskrista estimatingunderrecognizedcovid19deathsunitedstatesmarch2020may2021usinganexcessmortalitymodellingapproach
AT reichjeremy estimatingunderrecognizedcovid19deathsunitedstatesmarch2020may2021usinganexcessmortalitymodellingapproach
AT steelemolly estimatingunderrecognizedcovid19deathsunitedstatesmarch2020may2021usinganexcessmortalitymodellingapproach
AT hallaronj estimatingunderrecognizedcovid19deathsunitedstatesmarch2020may2021usinganexcessmortalitymodellingapproach
AT fryaliciam estimatingunderrecognizedcovid19deathsunitedstatesmarch2020may2021usinganexcessmortalitymodellingapproach
AT reedcarrie estimatingunderrecognizedcovid19deathsunitedstatesmarch2020may2021usinganexcessmortalitymodellingapproach