This paper is in the following e-collection/theme issue:

Formative Evaluation of Digital Health Interventions (2416) Infodemiology and Infoveillance (1349) Stroke (163) Decision Support for Health Professionals (1187)

Published on in Vol 6, No 1 (2022): January

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/27805, first published .
Prediction of Age-Adjusted Mortality From Stroke in Japanese Prefectures: Ecological Study Using Search Engine Queries

Prediction of Age-Adjusted Mortality From Stroke in Japanese Prefectures: Ecological Study Using Search Engine Queries

Prediction of Age-Adjusted Mortality From Stroke in Japanese Prefectures: Ecological Study Using Search Engine Queries

Authors of this article:

Kazuya Taira1 Author Orcid Image ;   Sumio Fujita2 Author Orcid Image
Article Authors Cited by (2) Tweetations (2) Metrics

Kazuya Taira   1 , PhD ;   Sumio Fujita   2

1 Department of Human Health Sciences, Graduate School of Medicine, Kyoto University, Kyoto, Japan

2 Yahoo Japan Corporation, Tokyo, Japan

Corresponding Author:

  • Kazuya Taira, PhD
  • Department of Human Health Sciences
  • Graduate School of Medicine
  • Kyoto University
  • 53, Shogoinkawara-cho, Sakyo-ku
  • Kyoto, 606-8507
  • Japan
  • Phone: 81 75-751-3927
  • Fax: 81 75-751-3927
  • Email: taira.kazuya.5m@kyoto-u.ac.jp