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1.
Article
Kyushu Univ. Production Kyushu Univ. Production
Cover image of 芦田川本流域の村々 — Villages in the Basin of the Ashida River
服部, 英雄 ; Hattori, Hideo
Publication info: Bulletin of the National Museum of Japanese History. 28, pp. 135-175, 1990-03. National Museum of Japanese History
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はじめに 一、伊尾村の地名と名 二、芦田川流域の灌漑用水と水利慣行 まとめ
はじめに 一、伊尾村の地名と名 二、芦田川流域の灌漑用水と水利慣行 まとめ
2.
Article
Kyushu Univ. Production Kyushu Univ. Production
Cover image of Quantification of Bird-to-Bird and Bird-to-Human Infections during 2013 Novel H7N9 Avian Influenza Outbreak in China
Hsieh, Ying-Hen; Wu, Jianhong; Fang, Jian ... [et al.]
Publication info: MI lecture note series. 60, pp. 1-2, 2014-11-28. Institute of Mathematics for Industry, Kyushu University
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3.
Article
Kyushu Univ. Production Kyushu Univ. Production
Cover image of SARS and Ebola: Clinical and epidemiological point of view
浦島, 充佳 ; Urashima, Mitsuyoshi
Publication info: MI lecture note series. 60, pp. 3-5, 2014-11-28. Institute of Mathematics for Industry, Kyushu University
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4.
Article
Kyushu Univ. Production Kyushu Univ. Production
Cover image of 数理モデルによる抗ウイルス薬の薬効評価系の確立 — Mathematical modeling of combination drug effects
小泉, 吉輝; Koizumi, Yoshiki; 岩見, 真吾 ... [et al.]
Publication info: MI lecture note series. 60, pp. 6-10, 2014-11-28. Institute of Mathematics for Industry, Kyushu University
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Abstract: The combination of drugs is a common practice for enhancing the efficiency of drug treatment and reducing the risk of emergence of drug resistance. However, selection of the optimal combination and the optimal doses remain poorly understood. Here we tried to find an optimal drug combination among four kinds of anti-HCV drugs (IFN-α, telaprevir, cyclosporine, and halopemide) based on mathematical model which describes HCV replication in Huh-7 cells. Read more
5.
Article
Kyushu Univ. Production Kyushu Univ. Production
Cover image of Assessment of current rabies prevention act in Japan through infectious disease modelling
門脇, 弾; Kadowaki, Hazumu; 蒔田, 浩平 ... [et al.]
Publication info: MI lecture note series. 60, pp. 11-14, 2014-11-28. Institute of Mathematics for Industry, Kyushu University
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Abstract: In Japan, rabies had been eradicated in 1956 and Japan has been one of the rabies free countries since then. The success of rabies eradication depended heavily on the control measure, the Act of Rabies Prevention, which includes vaccination for dogs, registration of dogs, elimination of stray dogs and quarantine of animals. However, being free from rabies for a long time made Japanese public interest in prophylaxes weakened, and it is said that the number of registered dog is largely different from the actual number and that vaccination coverage is below 40%. Moreover, the risk of transmission of rabies in Japan might be different from the past because of the change of social situation such as relationship between dogs and humans, and urbanized environment. Under such circumstances, a study on the review of current rabies prevention measure in Japan was granted by the Japan Ministry of Health, Labor and Welfares. The purposes of our study are prediction of the rabies transmission dynamics in present situation, given the disease is introduced in Japan, and the assessment of cost and efficacy of different options of preventive measures. Read more
6.
Article
Kyushu Univ. Production Kyushu Univ. Production
Cover image of 確率微分方程式を用いたSIR解法とその応用 — Solving the SIR Equations via the Stochastic Differential Equations with Some Applications
野口, 和久; Noguchi, Kazuhisa; 廣瀬, 英雄 ... [et al.]
Publication info: MI lecture note series. 60, pp. 15-19, 2014-11-28. Institute of Mathematics for Industry, Kyushu University
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Abstract: The conventional SIR models given by the ordinary differential equations can be solved as an initial value problem. The solution may be obtained deterministically if the initial values are appropriately provided. However, disease spread phenomena show randomness. It would be more natural to deal with such equations incorporating stochastic terms. In this note, we discuss the modeling for such stochastic differential equations adapted to the SIR models Read more
7.
Article
Kyushu Univ. Production Kyushu Univ. Production
Cover image of The Use of Mathematical Models to Evaluate Tuberculosis Control Interventions
Lin, Hsien-Ho
Publication info: MI lecture note series. 60, pp. 20-21, 2014-11-28. Institute of Mathematics for Industry, Kyushu University
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Abstract: Tuberculosis (TB) remains a major infectious disease in the world, with estimated eight million incident cases every year. In the past few decades, dynamic transmission models of infectious diseases have been used increasingly to inform policy making in TB control. In this talk I will give some examples on the application of infectious disease models in TB control. Read more
8.
Article
Kyushu Univ. Production Kyushu Univ. Production
Cover image of 基本増殖率R_0の感受性解析に基づく,大都市圏における効率的な防除政策の提案 — Efficient disease control strategy in metropolitan area based on sensitivity analysis of basic reproduction ratio R_0
八島, 健太; Yashima, Kenta; 佐々木顕 ... [et al.]
Publication info: MI lecture note series. 60, pp. 22-29, 2014-11-28. Institute of Mathematics for Industry, Kyushu University
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Abstract: Identification of high-risk community is essential for a policymaking of efficient and effective disease intervention strategies. Under the limited resources for countermeasures (e.g. stocks of vaccine and anti-viral drugs) and need to minimize the economic effect of quarantine (e.g. shut down of factories and offices), it is inevitable to apply intervention strategies from higher risk areas, in order to prevent a disease invasion and to reduce the prevalence in case of pandemic. In this study we show that the sensitivity analysis of basic reproduction ratio R_0 is useful for determining the degree of risk for each area within a metropolitan area. Here we have used the actual commuter flow of Tokyo metropolitan area as an example (commuting data is acquired from the Urban Transportation Census). The model of contagious disease spread in the Tokyo metropolitan area is formulated as a metapopulation model, where each node corresponds to each local station (about 1,500 stations) and recurrent movements of commuters (about 150,000 individuals in census sample) interconnect the nodes. For an infection dynamics we assume influenza like diseases and set epidemiological state of each individual to one of Susceptible, Infectious and Recovered state (SIR model). Using this model we calculate the basic reproduction ratio R_0 using the next generation matrix method. By applying a sensitivity analysis to R_0 and calculate the effect of changing the susceptible population structure (i.e. corresponding to vaccination or isolation), we are able to rank all residential stations and commuting pathways according to its epidemiological risk. From this we compare three strategies: applying countermeasures from the top ranking, low ranking and randomly regardless of ranking. The results show that this epidemiological risk ranking according to the sensitivity analysis is very effective in preventing the spread of infectious disease. Read more
9.
Article
Kyushu Univ. Production Kyushu Univ. Production
Cover image of SARS and Ebola: Clinical and epidemiological point of view
浦島, 充佳 ; Urashima, Mitsuyoshi
Publication info: MI lecture note series. 60, pp. 3-5, 2014-11-28. Institute of Mathematics for Industry, Kyushu University
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10.
Article
Kyushu Univ. Production Kyushu Univ. Production
Cover image of 数理モデルによる抗ウイルス薬の薬効評価系の確立 — Mathematical modeling of combination drug effects
小泉, 吉輝; Koizumi, Yoshiki; 岩見, 真吾 ... [et al.]
Publication info: MI lecture note series. 60, pp. 6-10, 2014-11-28. Institute of Mathematics for Industry, Kyushu University
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Abstract: The combination of drugs is a common practice for enhancing the efficiency of drug treatment and reducing the risk of emergence of drug resistance. However, selection of the optimal combination and the optimal doses remain poorly understood. Here we tried to find an optimal drug combination among four kinds of anti-HCV drugs (IFN-α, telaprevir, cyclosporine, and halopemide) based on mathematical model which describes HCV replication in Huh-7 cells. Read more