Quantifying the transmission dynamics using illness onset data
| Project/Area Number |
26700028
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| Research Category |
Grant-in-Aid for Young Scientists (A)
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| Allocation Type | Partial Multi-year Fund |
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| Research Field |
Life / Health / Medical informatics
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| Research Institution | Hokkaido University (2016)
The University of Tokyo (2014-2015) |
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Principal Investigator |
NISHIURA Hiroshi 北海道大学, 医学(系)研究科(研究院), 教授 (70432987)
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| Project Period (FY) |
2014-04-01 – 2017-03-31
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| Project Status |
Completed (Fiscal Year 2016)
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| Budget Amount *help |
¥7,020,000 (Direct Cost: ¥5,400,000、Indirect Cost: ¥1,620,000)
Fiscal Year 2016: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2015: ¥3,510,000 (Direct Cost: ¥2,700,000、Indirect Cost: ¥810,000)
Fiscal Year 2014: ¥2,730,000 (Direct Cost: ¥2,100,000、Indirect Cost: ¥630,000)
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| Keywords | 感染症情報 / 理論疫学 / 逆計算 / 統計学的推定 / 疫学 |
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| Outline of Final Research Achievements |
Mathematical modeling of infectious diseases often rests on bottom-up approach to capturing the transmission dynamics and natural history. However, the infection event is not directly observable, and thus, the infection process has to be statistically inferred using the readily observable information. The present study expanded the scientific opportunities of inference, collecting the illness onset data and utilizing such models to evaluate infectious disease interventions. Multitudes of publications including those applied to MERS (Middle East respiratory syndrome) and Zika fever have resulted from this project.
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Report
(4 results)
Research Products
(43 results)
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[Journal Article] Identifying determinants of heterogeneous transmission dynamics of the Middle East respiratory syndrome (MERS) outbreak in the Republic of Korea, 2015: a retrospective epidemiological analysis.2016
Author(s)
Nishiura H, Endo A, Saitoh M, Kinoshita R, Ueno R, Nakaoka S, Miyamatsu Y, Dong Y, Chowell G, Mizumoto K.
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Journal Title
NAID
Related Report
Peer Reviewed / Open Access / Int'l Joint Research / Acknowledgement Compliant
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