Article ID Journal Published Year Pages File Type
8738998 International Journal of Infectious Diseases 2018 26 Pages PDF
Abstract
This study provides a simple, practical, and valid algorithm to identify pneumonia patients at increased risk of MERS-CoV infection. This risk prediction model could be useful for the early identification of patients at the highest risk of MERS-CoV infection. Further validation of the prediction model on a large prospective cohort of representative patients with pneumonia is necessary.
Related Topics
Life Sciences Immunology and Microbiology Applied Microbiology and Biotechnology
Authors
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