Predicting COVID-19 progression from diagnosis to recovery or death linking primary care and hospital records in Castilla y Leon (Spain).

ABSTRACT: This paper analyses COVID-19 patients' dynamics during the first wave in the region of Castilla y León (Spain) with around 2.4 million inhabitants using multi-state competing risk survival models. From the date registered as the start of the clinical process, it is assumed that a patient can progress through three intermediate states until reaching an absorbing state of recovery or death. Demographic characteristics, epidemiological factors such as the time of infection and previous vaccinations, clinical history, complications during the course of the disease and drug therapy for hospitalised patients are considered as candidate predictors. Regarding risk factors associated with mortality and severity, consistent results with many other studies have been found, such as older age, being ma

SUBMITTER: Alvarez-Esteban PC 

PROVIDER: S-EPMC8451995 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature