Beyond the underlying cause of death: an algorithm to study multi-morbidity at death

The output of our algorithm sheds light on cross-country differences in the average number of causes on death certificates. It also opens the door for improvements in the methods used for multiple cause-of-death analysis.

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Publication Details

Journal
Population Health Metrics
Published
2024-12-18
DOI
https://doi.org/10.1186/s12963-024-00356-8
Citations
6
Primary Topic
Chronic Disease Management Strategies
Type
article
Field-Weighted Citation Impact
2.32

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article

Beyond the underlying cause of death: an algorithm to study multi-morbidity at death

Magali Barbiéri, Francesco Grippo, France Meslé, Luisa Frova et al.
6 citations
Population Health Metrics
Chronic Disease Management Strategies
2.32
article

Beyond the underlying cause of death: an algorithm to study multi-morbidity at death

Magali Barbiéri, Francesco Grippo, France Meslé, Luisa Frova, Marilena Pappagallo, Viviana Egidi, Sergi Trias‐Llimós, Aline Désesquelles
article en
6 citations

Abstract

The output of our algorithm sheds light on cross-country differences in the average number of causes on death certificates. It also opens the door for improvements in the methods used for multiple cause-of-death analysis.

Population Health MetricsVol. 22(1)
Institut national d'études démographiques (FR), Istituto Nazionale di Statistica (IT), Centre for Demographic Studies (ES), Sapienza University of Rome (IT), University of California, Berkeley (US)
Agencia Estatal de Investigación
Openalex Percentile: Top 10%
Chronic Disease Management Strategies
2.32
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Beyond the underlying cause of death: an algorithm to study multi-morbidity at death — Magali Barbiéri, Francesco Grippo, et al. · Population Health Metrics (2024) | TGRS Research Map | TGRS