Author Hisakane, Naoto| Kirinoki, Masashi| Chigusa, Yuichi| Sinuon, Muth| Socheat, Duong| Matsuda, Hajime| Ishikawa, Hirofumi|
Published Date 2008-09-03
Publication Title PARASITOLOGY INTERNATIONAL
Volume volume57
Issue issue3
Content Type Journal Article
Author Ishikawa, Hirofumi| Ohmae, Hiroshi| Pangilinan, Rogelio| Redulla, Apolinario| Matsuda, Hajime|
Published Date 2008-03-14
Publication Title PARASITOLOGY INTERNATIONAL
Volume volume55
Issue issue1
Content Type Journal Article
Author Fukutome, Ayako| Watashi, Koichi| Kawakami, Norito| Ishikawa, Hirofumi|
Published Date 2007
Publication Title Microbiology and Immunology
Volume volume51
Issue issue9
Content Type Journal Article
Author Fukuhara, Kazuma| Phompida, Samlane| Insisiengmay, Sithat| Kirinoki, Masashi| Chigusa, Yuichi| Nakamura, Satoshi| Matsuda, Hajime| Ishikawa, Hirofumi|
Published Date 2011-12
Publication Title Parasitology International
Volume volume60
Issue issue4
Content Type Journal Article
JaLCDOI 10.18926/fest/11610
FullText URL 001_047_053.pdf
Author Sasaki, Toru| Ishikawa, Hirofumi| Kajiwara, Tsuyoshi| Watanabe, Masaji|
Abstract We treat the problem of water pollution by the method of a mathematical model. We illustrate the method of analysis with Kojima Lake. We analyze in-flow and out-flow of the lake, compute numerical solutions of the governing equations of the water flow and the pollutant. The simulation leads to the conclusion concerning the figure of Kojima Lake.
Keywords Kojima lake Water analysis Finite element method
Publication Title 岡山大学環境理工学部研究報告
Published Date 1996-03
Volume volume1
Issue issue1
Start Page 47
End Page 53
ISSN 1341-9099
language 英語
File Version publisher
NAID 120002313787
JaLCDOI 10.18926/fest/12816
Title Alternative Statistical modeling for analysis of malaria epidemic behavior at Ishigaki Island
FullText URL 13_007_015.pdf
Author Ueki, Masao| Nakagawa, Yuuki| Fueda, Kaoru| Ishikawa, Hirofumi|
Abstract It is necessary to consider a stochastic variability in modeling malaria epidemic behavior since the malaria infection cycle essentially depends on stochastic elements. For this requirement, we need to construct an appropriate statistical model from available data in advance. In this report, we provide some statistical models for the analysis of malaria epidemic behavior at Ishigaki Island. These models can be used for recurrence of past malaria epidemic and prediction of future malaria epidemic at Ishigaki Island.
Keywords Anopheles minimus, generalized liner model Ishigaki Island malaria epidemic behavior prediction stochastic model
Publication Title 岡山大学環境理工学部研究報告
Published Date 2008-03
Volume volume13
Issue issue1
Start Page 7
End Page 15
ISSN 1341-9099
language 日本語
File Version publisher
NAID 120002304876