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  4. Estimating pathogen-specific asymptomatic ratios
 
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Estimating pathogen-specific asymptomatic ratios

Journal
Epidemiology
Journal Volume
21
Journal Issue
5
Pages
726-728
Date Issued
2010
Author(s)
Wang T.-E.
Lin C.-Y.
King C.-C.
WEN-CHUNG LEE  
DOI
10.1097/EDE.0b013e3181e94274
URI
https://www.scopus.com/inward/record.uri?eid=2-s2.0-77955924613&doi=10.1097%2fEDE.0b013e3181e94274&partnerID=40&md5=29d7f671cffe035f318f042081ca5ac9
https://scholars.lib.ntu.edu.tw/handle/123456789/521797
Abstract
The asymptomatic ratio (the proportion of asymptomatic infected cases among the total infected cases) is an important indicator in public health. However, symptoms manifested by a case infected with a pathogen may result from infections other than the specific pathogen of interest. When a case is infected with multiple pathogens, it can be difficult to distinguish which pathogen is causing the symptoms. These conditions complicate the estimation of asymptomatic ratios. We used influenza serologic data from Taiwan to test a novel log-linear binomial regression model that estimates pathogen-specific asymptomatic ratios for influenza subtypes. We find that 75% of the H1N1 subtype and 65% of the H3N2 subtype were asymptomatic. Asymptomatic ratios help to quantify the magnitude of asymptomatic persons who may be capable of spreading pathogens to others. ? 2010 by Lippincott Williams & Wilkins.
SDGs

[SDGs]SDG3

Other Subjects
article; asymptomatic ratio; child; female; human; influenza A (H1N1); influenza A (H3N2); influenza vaccination; major clinical study; male; measurement; priority journal; symptomatology; Taiwan; Asymptomatic Infections; Child; Disease Outbreaks; Female; Humans; Influenza A Virus, H1N1 Subtype; Influenza A Virus, H3N2 Subtype; Influenza B virus; Influenza, Human; Linear Models; Male; Models, Statistical; Statistics as Topic; Taiwan
Type
journal article

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