Distinguishing Zika and Dengue Viruses through Simple Clinical Assessment, Singapore
Dengue virus and Zika virus coexist in tropical regions in Asia where healthcare resources are limited; differentiating the 2 viruses is challenging. We showed in a case-control discovery cohort, and replicated in a validation cohort, that the diagnostic indices of conjunctivitis, platelet count, an...
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| Published in | Emerging infectious diseases Vol. 24; no. 8; pp. 1565 - 1568 |
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| Main Authors | , , , , , , , , , , , , , , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
United States
U.S. National Center for Infectious Diseases
01.08.2018
Centers for Disease Control and Prevention |
| Subjects | |
| Online Access | Get full text |
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| Abstract | Dengue virus and Zika virus coexist in tropical regions in Asia where healthcare resources are limited; differentiating the 2 viruses is challenging. We showed in a case-control discovery cohort, and replicated in a validation cohort, that the diagnostic indices of conjunctivitis, platelet count, and monocyte count reliably distinguished between these viruses. |
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| AbstractList | Dengue virus and Zika virus coexist in tropical regions in Asia where healthcare resources are limited; differentiating the 2 viruses is challenging. We showed in a case-control discovery cohort, and replicated in a validation cohort, that the diagnostic indices of conjunctivitis, platelet count, and monocyte count reliably distinguished between these viruses. |
| Audience | Professional Academic |
| Author | Ho, Siew Seen Tambyah, Paul A Bagdasarian, Natasha Ho, Hanley J Lee, Chun Kiat Win, Mar Soe Cook, Alex R Jureen, Roland Fisher, Dale Yan, Benedict Yan, Gabriel Smitasin, Nares Chow, Angela Oon, Jolene Wong, Joshua G X Chai, Louis Yi Ann Khoo, Ai Leng Pang, Long Leo, Yee Sin Lye, David C |
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| Cites_doi | 10.1093/cid/ciw589 10.1056/NEJMra1110265 10.1186/s12916-016-0737-9 10.15585/mmwr.mm6503e2 10.1128/CMR.00072-15 10.3201/eid1206.051210 10.3201/eid1408.080287 10.3201/eid2312.171224 |
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| References | Schuler-Faccini (key-10.3201/eid2408.171883-201807200847-R6) 2016; 65 Musso (key-10.3201/eid2408.171883-201807200847-R2) 2016; 29 Ooi (key-10.3201/eid2408.171883-201807200847-R1) 2006; 12 Ho (key-10.3201/eid2408.171883-201807200847-R5) 2017; 23 Waggoner (key-10.3201/eid2408.171883-201807200847-R10) 2016; 63 Simmons (key-10.3201/eid2408.171883-201807200847-R7) 2012; 366 key-10.3201/eid2408.171883-201807200847-R8 Lanciotti (key-10.3201/eid2408.171883-201807200847-R4) 2008; 14 key-10.3201/eid2408.171883-201807200847-R9 Fisher (key-10.3201/eid2408.171883-201807200847-R3) 2016; 14 |
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| SubjectTerms | Adult Aedes - virology Aged Animals Case-Control Studies Cohort Studies Conjunctivitis Conjunctivitis, Viral - diagnosis Conjunctivitis, Viral - physiopathology Conjunctivitis, Viral - virology Dengue - diagnosis Dengue - physiopathology Dengue - transmission Dengue - virology Dengue Virus Diagnosis, Differential Dispatch Distinguishing Zika and Dengue Viruses through Simple Clinical Assessment, Singapore Female Fever - diagnosis Fever - physiopathology Fever - virology Health aspects Health care industry Humans Infection Leukocyte Count Male Medical research Middle Aged Mosquito Vectors - virology Myalgia - diagnosis Myalgia - physiopathology Myalgia - virology Platelet Count platelets ROC Curve Singapore Southeast Asia viruses Zika Virus Zika Virus Infection - diagnosis Zika Virus Infection - physiopathology Zika Virus Infection - transmission Zika Virus Infection - virology |
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| Title | Distinguishing Zika and Dengue Viruses through Simple Clinical Assessment, Singapore |
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