Cure models to estimate time until hospitalization due to COVID-19

A short introduction to survival analysis and censored data is included in this paper. A thorough literature review in the field of cure models has been done. An overview on the most important and recent approaches on parametric, semiparametric and nonparametric mixture cure models is also included....

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Published inApplied intelligence (Dordrecht, Netherlands) Vol. 52; no. 1; pp. 794 - 807
Main Authors Pedrosa-Laza, Maria, López-Cheda, Ana, Cao, Ricardo
Format Journal Article
LanguageEnglish
Published Boston Springer Nature B.V 01.01.2022
Subjects
Coronaviruses
COVID-19
Datasets
Literature reviews
Survival analysis
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Summary:A short introduction to survival analysis and censored data is included in this paper. A thorough literature review in the field of cure models has been done. An overview on the most important and recent approaches on parametric, semiparametric and nonparametric mixture cure models is also included. The main nonparametric and semiparametric approaches were applied to a real time dataset of COVID-19 patients from the first weeks of the epidemic in Galicia (NW Spain). The aim is to model the elapsed time from diagnosis to hospital admission. The main conclusions, as well as the limitations of both the cure models and the dataset, are presented, illustrating the usefulness of cure models in this kind of studies, where the influence of age and sex on the time to hospital admission is shown.
ISSN:0924-669X
1573-7497
DOI:10.1007/s10489-021-02311-8