Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
8738998 | International Journal of Infectious Diseases | 2018 | 26 Pages |
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.
Keywords
Related Topics
Life Sciences
Immunology and Microbiology
Applied Microbiology and Biotechnology
Authors
Anwar E. Ahmed, Hamdan Al-Jahdali, Abeer N. Alshukairi, Mody Alaqeel, Salma S. Siddiq, Hanan Alsaab, Ezzeldin A. Sakr, Hamed A. Alyahya, Munzir M. Alandonisi, Alaa T. Subedar, Nouf M. Aloudah, Salim Baharoon, Majid A. Alsalamah, Sameera Al Johani,