| |
Software Requirements
Microsoft Internet Explorer 5.01 or higher and Netscape Navigator 4.75 or higher are recommended. |
|
 |
J.Health Sci., 54(1), 107-111, 2008
Factor Analysis of Drug Supply Time Series at Pharmacies
Tsuyoshi Kobari,a, b Hisako Takeuchi,c
Kazuo Iwaki,d Fumiyoshi Ishii,b
Hiroe Tsubaki,e Rieko Matsuda,f
Yuzuru Hayashi,*, f and Takehiko Yajima,g
aKosumo Chouzai Yakkyoku Co., Ltd., 2-129-3 Miyahara, Kita, Saitama, Saitama 331-0812, Japan,
bDepartment of Pharmaceutical Sciences, Meiji Pharmaceutical University, 2-522-1 Noshio, Kiyose, Tokyo 204-8588, Japan,
cTriad Japan Co., Ltd., 2-18-10 Kitasato, Sagamihara, Kanagawa 228-0829, Japan,
dSchool of Pharmaceutical Sciences, Ohu University, 31-1 Misumido, Tomita-machi Koriyama, Fukushima 963-8611, Japan,
eThe Institute of Statistical Mathematics, 4-6-7 Minami-Azabu, Minato-ku, Tokyo 106-8569, Japan,
fNational Institute of Health Sciences, 1-18-1 Kami-Yoga, Setagaya-ku, Tokyo 158-8501, Japan, and
gFaculty of Pharmaceutical Sciences, Toho University, 2-2-1 Miyama, Funabashi, Chiba 274-8510, Japan
The stochastic properties of the daily variations in drug sales at a community pharmacy in the season of 2004/2005 are studied by a factor analysis. The four factors which can closely be related to chronic diseases, common cold, influenza and allergies are extracted from the data of 31 drugs. For most of the drugs, the sales time series can approximately be represented by the four factors alone. Similar results are obtained from the same pharmacy in the 2003/2004 season and also from two other pharmacies. Interestingly, the classification of drugs according to the factor analysis corresponds to their medicinal actions.
|
|
