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Dataset Information

Novel model prediction time-to-event analysis: data validation and estimation of 200 million cases in the global COVID-19 epidemic.


ABSTRACT:

Objectives

Assessment of recuperation and death times of a population inflicted by an epidemic has only been feasible through studying a sample of individuals via time-to-event analysis, which requires identified participants. Therefore, we aimed to introduce an original model to estimate the average recovery/death times of infected population of contagious diseases without the need to undertake survival analysis and just through the data of unidentified infected, recovered and dead cases.

Design

Cross-sectional study.

Setting

An internet source that asserted from official sources of each government. The model includes two techniques-curve fitting and optimisation problems. First, in the curve fitting process, the data of the three classes are simultaneously fitted to

SUBMITTER: Rezania A 

PROVIDER: S-EPMC9884575 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature