Your browser doesn't support javascript.
loading
Excess natural-cause mortality in US counties and its association with reported COVID-19 deaths.
Paglino, Eugenio; Lundberg, Dielle J; Wrigley-Field, Elizabeth; Zhou, Zhenwei; Wasserman, Joe A; Raquib, Rafeya; Chen, Yea-Hung; Hempstead, Katherine; Preston, Samuel H; Elo, Irma T; Glymour, M Maria; Stokes, Andrew C.
Afiliación
  • Paglino E; Department of Sociology and Population Studies Center, University of Pennsylvania, Philadelphia, PA 19104.
  • Lundberg DJ; Department of Global Health, Boston University School of Public Health, Boston, MA 02118.
  • Wrigley-Field E; Department of Health Systems and Population Health, University of Washington School of Public Health, Seattle, WA 98195.
  • Zhou Z; Department of Sociology and Minnesota Population Center, University of Minnesota, Minneapolis, MN 55455.
  • Wasserman JA; Department of Biostatistics, Boston University School of Public Health, Boston, MA 02118.
  • Raquib R; Research Triangle Institute, Research Triangle Park, NC 27709.
  • Chen YH; Department of Global Health, Boston University School of Public Health, Boston, MA 02118.
  • Hempstead K; Department of Epidemiology and Biostatistics, University of California, San Francisco, CA 94158.
  • Preston SH; Robert Wood Johnson Foundation, Princeton, NJ 08540.
  • Elo IT; Department of Sociology and Population Studies Center, University of Pennsylvania, Philadelphia, PA 19104.
  • Glymour MM; Department of Sociology and Population Studies Center, University of Pennsylvania, Philadelphia, PA 19104.
  • Stokes AC; Department of Epidemiology, Boston University School of Public Health, Boston, MA 02118.
Proc Natl Acad Sci U S A ; 121(6): e2313661121, 2024 Feb 06.
Article en En | MEDLINE | ID: mdl-38300867
ABSTRACT
In the United States, estimates of excess deaths attributable to the COVID-19 pandemic have consistently surpassed reported COVID-19 death counts. Excess deaths reported to non-COVID-19 natural causes may represent unrecognized COVID-19 deaths, deaths caused by pandemic health care interruptions, and/or deaths from the pandemic's socioeconomic impacts. The geographic and temporal distribution of these deaths may help to evaluate which explanation is most plausible. We developed a Bayesian hierarchical model to produce monthly estimates of excess natural-cause mortality for US counties over the first 30 mo of the pandemic. From March 2020 through August 2022, 1,194,610 excess natural-cause deaths occurred nationally [90% PI (Posterior Interval) 1,046,000 to 1,340,204]. A total of 162,886 of these excess natural-cause deaths (90% PI 14,276 to 308,480) were not reported to COVID-19. Overall, 15.8 excess deaths were reported to non-COVID-19 natural causes for every 100 reported COVID-19 deaths. This number was greater in nonmetropolitan counties (36.0 deaths), the West (Rocky Mountain states 31.6 deaths; Pacific states 25.5 deaths), and the South (East South Central states 26.0 deaths; South Atlantic states 25.0 deaths; West South Central states 24.2 deaths). In contrast, reported COVID-19 death counts surpassed estimates of excess natural-cause deaths in metropolitan counties in the New England and Middle Atlantic states. Increases in reported COVID-19 deaths correlated temporally with increases in excess deaths reported to non-COVID-19 natural causes in the same and/or prior month. This suggests that many excess deaths reported to non-COVID-19 natural causes during the first 30 mo of the pandemic in the United States were unrecognized COVID-19 deaths.
Asunto(s)
Palabras clave

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: COVID-19 Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans País/Región como asunto: America do norte Idioma: En Revista: Proc Natl Acad Sci U S A Año: 2024 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: COVID-19 Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans País/Región como asunto: America do norte Idioma: En Revista: Proc Natl Acad Sci U S A Año: 2024 Tipo del documento: Article