https://scholars.lib.ntu.edu.tw/handle/123456789/87060
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.author | CHEN, S.-C. | en_US |
dc.contributor.author | CHUNG-MIN LIAO | en_US |
dc.creator | CHEN, S.-C.; LIAO, C.-M. | en |
dc.date | 2007 | en |
dc.date.accessioned | 2010-01-06T11:11:14Z | - |
dc.date.accessioned | 2018-06-29T03:39:56Z | - |
dc.date.available | 2010-01-06T11:11:14Z | - |
dc.date.available | 2018-06-29T03:39:56Z | - |
dc.date.issued | 2007 | - |
dc.identifier.uri | http://ntur.lib.ntu.edu.tw//handle/246246/176033 | - |
dc.description.abstract | We coupled the Wells-Riley equation and the susceptible-exposed-infected-recovery (SEIR) model to quantify the impact of the combination of indoor air-based control measures of enhanced ventilation and respiratory masking in containing pandemic influenza within an elementary school. We integrated indoor environmental factors of a real elementary school and aetiological characteristics of influenza to estimate the age-specific risk of infection (P) and basic reproduction number (R0). We combined the enhanced ventilation rates of 0.5, 1, 1.5, and 2/h and respiratory masking with 60%, 70%, 80%, and 95% efficacies, respectively, to predict the reducing level of R0. We also took into account the critical vaccination coverage rate among schoolchildren. Age-specific P and R0 were estimated respectively to be 0.29 and 16.90; 0.56 and 16.11; 0.59 and 12.88; 0.64 and 16.09; and 0.07 and 2.80 for five age groups 4.6, 7.8, 9.10, 11.12, and 25.45 years, indicating pre-schoolchildren have the highest transmission potential. We conclude that our integrated approach, employing the mechanism of transmission of indoor respiratory infection, population-dynamic transmission model, and the impact of infectious control programmes, is a powerful tool for risk profiling prediction of pandemic influenza among schoolchildren. ? 2007 Copyright Cambridge University Press. | - |
dc.format | application/pdf | en |
dc.format.extent | 360625 bytes | - |
dc.format.mimetype | application/pdf | - |
dc.language | en | en |
dc.language.iso | en_US | - |
dc.relation | Epidemiology and Infection 136 (8): 1035-1045 | en |
dc.relation.ispartof | Epidemiology and Infection | en_US |
dc.subject.classification | [SDGs]SDG3 | - |
dc.subject.other | influenza vaccine; air conditioning; ambient air; article; child; controlled study; environmental factor; human; infection control; infection risk; influenza; major clinical study; pandemic; population dynamics; prediction; primary school; quantitative analysis; respiratory tract infection; vaccination; virus transmission; Air Microbiology; Air Pollution, Indoor; Child; Child, Preschool; Community-Acquired Infections; Female; Humans; Influenza Vaccines; Influenza, Human; Male; Mathematics; Models, Statistical; Risk Assessment; Schools; Taiwan | - |
dc.title | Modelling control measures to reduce the impact of pandemic influenza among schoolchildren | en |
dc.type | journal article | en |
dc.identifier.doi | 10.1017/S0950268807009284 | - |
dc.identifier.uri.fulltext | http://ntur.lib.ntu.edu.tw/bitstream/246246/176033/1/82.pdf | - |
item.languageiso639-1 | en_US | - |
item.cerifentitytype | Publications | - |
item.fulltext | with fulltext | - |
item.openairecristype | http://purl.org/coar/resource_type/c_6501 | - |
item.openairetype | journal article | - |
item.grantfulltext | open | - |
crisitem.author.dept | Bioenvironmental Systems Engineering | - |
crisitem.author.orcid | 0000-0002-8360-7996 | - |
crisitem.author.parentorg | College of Bioresources and Agriculture | - |
顯示於: | 生物環境系統工程學系 |
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