Distinguishing Zika and Dengue Viruses through Simple Clinical Assessment, Singapore
Gabriel Yan
1, Long Pang
1, Alex R. Cook
2, Hanley J. Ho
2, Mar Soe Win, Ai Leng Khoo, Joshua G.X. Wong, Chun Kiat Lee, Benedict Yan, Roland Jureen, Siew Seen Ho, David C. Lye, Paul A. Tambyah, Yee Sin Leo, Dale Fisher, Jolene Oon, Natasha Bagdasarian, Angela Chow
3, Nares Smitasin
3, and Louis Yi Ann Chai
3
Author affiliations: National University Health System, Singapore (G. Yan, L. Pang, A.R. Cook, M.S. Win, S.S. Ho, P.A. Tambyah, D. Fisher, J. Oon, N. Bagdasarian, N. Smitasin, L.Y.A. Chai); National University of Singapore (L. Pang, A.R. Cook, P.A. Tambyah, D. Fisher, N. Bagdasarian, L.Y.A. Chai); Tan Tock Seng Hospital, Singapore (H.J. Ho, J.G.X. Wong, D.C. Lye, Y.S. Leo, A. Chow); National University Cancer Institute, Singapore (M.S. Win, L.Y.A. Chai); National Healthcare Group, Singapore (A.L. Khoo); National University Hospital, Singapore (C.K. Lee, B. Yan, R. Jureen)
Main Article
Figure 2
Figure 2. Receiver operating characteristics for different models in study of clinical assessments to distinguish Zika and dengue virus infections, Singapore. AUC is shown for different models: conjunctivitis alone (model C), conjunctivitis with platelet count (model CP), and conjunctivitis with platelet and monocyte counts (model CPM). AUC, area under the curve.
Main Article
Page created: July 18, 2018
Page updated: July 18, 2018
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