Literature DB >> 19468190

Seasonal influenza surveillance using prescription data for anti-influenza medications.

Makiko Yoshida1, Tamano Matsui, Yasushi Ohkusa, John Kobayashi, Takaaki Ohyama, Tamie Sugawara, Yoshinori Yasui, Tomoko Tachibana, Nobuhiko Okabe.   

Abstract

Surveillance is critical for both early detection and a timely public health response to infectious diseases. Electronic information systems have been widely adopted by pharmacies in Japan. The aim of this study is to evaluate the feasibility of using prescription data for influenza surveillance in Japan to facilitate the development of a daily reporting system. This is a retrospective study using questionnaires mailed to pharmacies in Sakai City, Osaka, Japan in October 2007. The total number of prescriptions for oseltamivir and zanamivir and the number of influenza cases reported by sentinel surveillance in Sakai during the investigation period showed excellent correlation, with a correlation coefficient of 0.954. Further analysis showed that the data from as few as eight pharmacies result in a correlation coefficient of 0.9. These results demonstrate the feasibility of such a system and that pharmacy prescription data are a very useful indicator of sentinel surveillance for influenza.

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Year:  2009        PMID: 19468190

Source DB:  PubMed          Journal:  Jpn J Infect Dis        ISSN: 1344-6304            Impact factor:   1.362


  7 in total

1.  Oseltamivir prescription and regulatory actions vis-à-vis abnormal behavior risk in Japan: drug utilization study using a nationwide pharmacy database.

Authors:  Hisashi Urushihara; Yuko Doi; Masaru Arai; Toshiyuki Matsunaga; Yosuke Fujii; Naoko Iino; Takashi Kawamura; Koji Kawakami
Journal:  PLoS One       Date:  2011-12-06       Impact factor: 3.240

2.  Assessing the use of antiviral treatment to control influenza.

Authors:  S C Kramer; S Bansal
Journal:  Epidemiol Infect       Date:  2014-10-02       Impact factor: 4.434

Review 3.  Drug sales data analysis for outbreak detection of infectious diseases: a systematic literature review.

Authors:  Mathilde Pivette; Judith E Mueller; Pascal Crépey; Avner Bar-Hen
Journal:  BMC Infect Dis       Date:  2014-11-18       Impact factor: 3.090

4.  Effectiveness of seasonal influenza vaccination in patients with diabetes: protocol for a nested case-control study.

Authors:  Ludovic Casanova; Sébastien Cortaredona; Jean Gaudart; Odile Launay; Philippe Vanhems; Patrick Villani; Pierre Verger
Journal:  BMJ Open       Date:  2017-08-18       Impact factor: 2.692

5.  A statistical tool for comparing seasonal ILI surveillance data.

Authors:  René Ferland; Sorana Froda
Journal:  Sci Rep       Date:  2019-02-05       Impact factor: 4.379

6.  The accuracy and timeliness of neuraminidase inhibitor dispensing data for predicting laboratory-confirmed influenza.

Authors:  J Papenburg; K M Charland; G DE Serres; D L Buckeridge
Journal:  Epidemiol Infect       Date:  2015-11-27       Impact factor: 4.434

7.  The value of radiographic findings for the progression of pandemic 2009 influenza A/H1N1 virus infection.

Authors:  Takanori Funaki; Kensuke Shoji; Nobuyuki Yotani; Tomohiro Katsuta; Osamu Miyazaki; Shunsuke Nosaka; Hidekazu Masaki; Akihiko Saitoh
Journal:  BMC Infect Dis       Date:  2013-11-04       Impact factor: 3.090

  7 in total

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