| LDR | | 01818nam u200385 4500 |
| 001 | | 000000421174 |
| 005 | | 20190215165112 |
| 008 | | 181129s2018 |||||||||||||||||c||eng d |
| 020 | |
▼a 9780438018402 |
| 035 | |
▼a (MiAaPQ)AAI10793984 |
| 035 | |
▼a (MiAaPQ)purdue:22653 |
| 040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 247004 |
| 082 | 0 |
▼a 610 |
| 100 | 1 |
▼a Sai, Aditya P. |
| 245 | 10 |
▼a Modeling and Optimization of Dynamical Systems in Epidemiology Using Sparse Grid Interpolation. |
| 260 | |
▼a [S.l.]:
▼b Purdue University.,
▼c 2018. |
| 260 | 1 |
▼a Ann Arbor:
▼b ProQuest Dissertations & Theses,
▼c 2018. |
| 300 | |
▼a 112 p. |
| 500 | |
▼a Source: Dissertation Abstracts International, Volume: 79-10(E), Section: B. |
| 500 | |
▼a Adviser: Nan Kong. |
| 502 | 1 |
▼a Thesis (Ph.D.)--Purdue University, 2018. |
| 520 | |
▼a Infectious diseases pose a perpetual threat across the globe, devastating communities, and straining public health resources to their limit. The ease and speed of modern communications and transportation networks means policy makers are often pl |
| 520 | |
▼a Our contributions to the disease modeling community are encapsulated in the following endeavors. We first explore transmission and recovery mechanisms for disease eradication, identifying a relationship between the reproductive potential of a di |
| 590 | |
▼a School code: 0183. |
| 650 | 4 |
▼a Biomedical engineering. |
| 690 | |
▼a 0541 |
| 710 | 20 |
▼a Purdue University.
▼b Biomedical Engineering. |
| 773 | 0 |
▼t Dissertation Abstracts International
▼g 79-10B(E). |
| 773 | |
▼t Dissertation Abstract International |
| 790 | |
▼a 0183 |
| 791 | |
▼a Ph.D. |
| 792 | |
▼a 2018 |
| 793 | |
▼a English |
| 856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T14997773
▼n KERIS
▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
| 980 | |
▼a 201812
▼f 2019 |
| 990 | |
▼a ***1012033 |