Physiological and socioeconomic characteristics predict COVID-19 mortality and resource utilization in Brazil-Reference-Cited by-同舟云学术

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Physiological and socioeconomic characteristics predict COVID-19 mortality and resource utilization in Brazil

Published:2020-10-14 Issue:10 Volume:15 Page:e0240346
ISSN:1932-6203
Container-title:PLOS ONE
language:en
Short-container-title:PLoS ONE

Author:

Wollenstein-Betech Salomón^ORCID,Silva Amanda A. B.^ORCID,Fleck Julia L.,Cassandras Christos G.,Paschalidis Ioannis Ch.^ORCID

Funder

National Science Foundation

National Institute of General Medical Sciences

National Institutes of Health

Office of Naval Research

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference38 articles.

1. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China;C Huang;The Lancet,2020

2. An interactive web-based dashboard to track COVID-19 in real time;E Dong;The Lancet Infectious Diseases,2020

3. An interpretable mortality prediction model for COVID-19 patients;L Yan;Nature Machine Intelligence,2020

4. Clinical progression of patients with COVID-19 in Shanghai, China;J Chen;Journal of Infection,2020

5. Clinical Characteristics of Coronavirus Disease 2019 in China;Wj Guan;New England Journal of Medicine,2020

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2. Mortality risk in patients with obesity and COVID-19 infection: a systematic review and meta-analysis;Metabolism;2024-06

3. Combat COVID-19 at National Level using Risk Stratification with Appropriate Intervention;2023 IEEE International Conference on Big Data (BigData);2023-12-15

4. Who is most at risk of dying if infected with SARS-CoV-2? A mortality risk factor analysis using machine learning of patients with COVID-19 over time: a large population-based cohort study in Mexico;BMJ Open;2023-09

5. Prioritizing COVID-19 vaccine allocation in resource poor settings: Towards an Artificial Intelligence-enabled and Geospatial-assisted decision support framework;PLOS ONE;2023-08-10

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