Article

Modeling the progression of SARS-CoV-2 infection in patients with COVID-19 risk factors through predictive analysis

2020-07-19

Abstract excerpt

With almost a third of adults being obese, another third hypertense and almost a tenth affected by diabetes, Latin American countries could see an elevated number of severe COVID-19 outcomes. We used the Open Dataset of Mexican patients with COVID-19 suspicion who had a definite RT-PCR result to develop a statistical model that evaluated the progression of SARS-CoV-2 infection in the population. We included patien...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 6b5935dc-d7ac-5523-857f-8f7d3c65e94f
DOI: 10.1101/2020.07.14.20154021

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Modeling the progression of SARS-CoV-2 infection in patients with COVID-19 risk factors through predictive analysisDOI 10.1101/2020.07.14.20154021Read

Predicting mortality due to SARS-CoV-2: A mechanistic score relating obesity and diabetes to COVID-19 outcomes in MexicoSemantic proximity Read

Who is most at risk of dying if infected with SARS-CoV-2? A mortality risk factor analysis using machine learning of COVID-19 patients over time in a large Mexican populationSemantic proximity Read

The spatial distribution and Calculator for Severity and Death for COVID-19Semantic proximity Read

Points-Based Models for Predicting Severe Disease related to Covid-19 with the SARS-CoV-2 Omicron VariantSemantic proximity Read

PROBABILITY OF HOSPITALIZATION AND DEATH AMONG COVID-19 PATIENTS WITH COMORBIDITY DURING OUTBREAKS OCCURRING IN MEXICO CITYSemantic proximity Read

Risk factors for COVID-19 mortality among children and adolescents in Rio de Janeiro state, 2020-2023Semantic proximity Read

Prognosing the Risk of COVID-19 Death Through a Machine Learning-Based Routine Blood PanelSemantic proximity Read

SARS2 simplified scores to estimate risk of hospitalization and death among patients with COVID-19Semantic proximity Read

Predicting Clinical Outcomes of SARS-CoV-2 Infection During the Omicron Wave Using Machine LearningSemantic proximity Read

Incidence and Risk Factors of Illnesses Presumably Caused by A SARS-CoV-2 Infection in The General Population During The Lockdown Period: A Multi-Cohort Study.Semantic proximity Read

Impact of a Double Epidemic in Mexico: Non-Communicable Diseases Increase the Case Fatality Rate with Covid-19Semantic proximity Read

Severe COVID-19 in the Basque Country, Spain: Risk Prediction Model with Genetic and Clinical FactorsSemantic proximity Read