Predicting COVID-19 Cases Among Nurses Using Artificial Neural Network Approach

Author Affiliations: School of Medicine (Drs Namdar and Abdollahzade), Qazvin University of Medical Sciences (Ms Teymori); Department of Biomedical Engineering, School of Medicine, Tehran University of Medical Sciences (Dr Shafiekhani); and Student Research Center, School of Public Health (Mrs Maleki), and Social Determinants of Health Research Center (Dr Rafiei), Qazvin University of Medical Sciences, Iran.

Corresponding author: Sima Rafiei, PhD, School of Public Health, Qazvin University of Medical Sciences, Bahonar Blvd., Qazvin, Iran ([email protected]).

Author Contributions: S.R. designed and supervised the study, drafted the paper, and analyzed the data. P.N. designed the study and critically revised the paper. S.S. designed the study, implemented machine learning algorithms, analyzed the data, and participated in paper writing and paper revision. S.A., F.T., and A.M. collected the data.

The authors have disclosed that they have no significant relationships with, or financial interest in, any commercial companies pertaining to this article.

Data availability: The MATLAB codes of classifiers are available by reasonable request from the corresponding author.

Supplemental digital content is available for this article. Direct URL citations appear in the printed text and are provided in the HTML and PDF versions of this article on the journal’s Web site (www.cinjournal.com).

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