Kyoto University · Medicine
Professor Kazuya Taira's research lab specializes in digital public health, focusing on the analysis of internet search behaviors and online information dynamics to predict health trends, evaluate health interventions, and inform policy. The lab investigates how search queries related to mental health, suicide risk factors, smoking behavior, and disease-related information correlate with real-world health outcomes. A key focus is leveraging big data from internet searches to create low-cost, timely, and resilient health indicators for population-level health monitoring. The lab also examines the impact of online information—especially from social media and blogs—on health behaviors such as vaccination uptake, emphasizing the role of credible sources in combating misinformation.
Figures are computed from collected data and may differ slightly.
ChatGPT only passed the 2019 Japanese National Nursing Examination during the most recent 5 years. Although it did not pass the examinations from other years, it performed very close to the passing level, even in those containing questions related to psychology, communication, and nursing.
The number of suicides can be predicted by search queries related to the keyword "suicide." Previous studies have reported that financial poverty and divorce are associated with suicide. The results of this study, in which search queries on "no money" and "divorce" predicted suicide, support the findings of previous studies. Further research on the economic poverty of women and those with complex problems is necessary.
This study suggests that the search volume of tobacco-related queries in internet search engines can predict smoking prevalence by prefecture and sex in Japan. These findings will enable the development of low-cost, timely, and crisis-resistant health indicators that will enable the evaluation of health measures and contribute to improved public health.
Search and question frequencies showed similar tendencies, whereas search and clinical frequencies showed discrepancy. Low-clinical frequency words related to diseases such as "hypothyroidism" and "ulcerative colitis" had high search frequencies, whereas those related to symptoms such as "pain," "slight fever," and "numbness" had high question frequencies. Moreover, high search frequency words included designated intractable diseases such as "ulcerative colitis," which has an incidence of less t
The response rate of the questionnaires was 54.0% (81/150). The change in the employment status of PHNs from 2019 to 2020 was not statistically significant in 2020, which was the COVID-19 outbreak year. However, the number of full-time PHNs increased by 2.6, while part-time PHNs almost doubled from 5.2 ± 8.3 to 10.8 ± 9.6 (<i>p</i> = .61) for prefectures, from 13.6 ± 13.1 to 21.5 ± 34.8 (<i>p</i> = .23) for cities, and from 16.8 ± 26.8 to 52.3 ± 132.5 (<i>p</i> = .70) for wards. The survey revea
Stroke-related search behavior was associated with age-adjusted mortality from stroke in each prefecture in Japan. Query terms that were strongly associated with age-adjusted mortality rates of stroke suggested the possibility that individual characteristics, such as sex and age, have an impact on stroke-associated mortality and that it is important to receive medical care early after stroke onset. Further studies on the criteria and timing of alerting are needed by monitoring information-seekin
Internet-based information seeking is positively linked to COVID-19 vaccination rates in Japan, underscoring the significant influence of online information on public health decisions. Nonetheless, certain online information sources, including blogs and some social networks, negatively affected vaccination rates, warranting caution in their use and recognition. The study highlights the critical role of credible online sources in public health communication and the challenge of combating misinfor
This study showed that users of HVBs not only had high LTCI-certified-care ranks, but that they also required pain management and pre-bathing treatment.
Each HLE from 47 prefectures in 2010, 2013, and 2016 was extended over time. There were strong Cronbach's coefficient alpha (α) between DFLE-AL and LE-SH (Minimum α; 0.80, Maximum α; 0.90) as well as between LE and DFLE-CN (Minimum α; 0.92, Maximum α; 0.99) in both sexes in every data year. However, the other pairs had weaker associations. In regression analysis with each HLE as a dependent variable and aging rate, mortality, the proportion of unhealthy people as independent variables, the subje
Public health nurses (PHNs) play a central role in community health in Japan, and the number of certified PHNs has decreased since 2011. However, thus far, no study has estimated the supply and demand of PHNs in the coming years. The present study aimed to estimate the future balance between supply and demand for PHNs in Japan. This simulation study adopted a stock-flow approach using data from a survey of local governments, log data from a recruitment information website, and government statist
Objective The coronavirus disease 2019 pandemic has imposed considerable stress on public health centers (PHCs) in Japan, raising concerns over staff burnout and intention to quit. Therefore, this study aimed to examine the relationship between burnout and job-quitting intention among PHC staff members and estimated the prevalence of burnout and job-quitting intentions among these staff members.Methods This study employed a cross-sectional design. Survey requests were sent to all 468 PHCs in Jap
<sec> <title>BACKGROUND</title> ChatGPT, a large language model, has shown good performance on physician certification examinations and medical consultations. However, its performance has not been examined in languages other than English or on nursing examinations. </sec> <sec> <title>OBJECTIVE</title> We aimed to evaluate the performance of ChatGPT on the Japanese National Nurse Examinations. </sec> <sec> <title>METHODS</title> We evaluated the percentages of correct answers provided by ChatGPT
Abstract Objective: An ecological study using secondary open data from Japanese government statistics was conducted. The study aimed to verify differences in three measures of healthy life expectancy (HLE); namely, disability-free life expectancy without activity limitation (DFLE-AL), life expectancy with self-perceived health (LE-SH), and disability-free life expectancy without care need (DFLE-CN). Results: Each HLE from 47 prefectures in 2010, 2013, and 2016 was extended over time. There were
This research letter discusses the impact of different file formats on ChatGPT-4's performance on the Japanese National Nursing Examination, highlighting the need for standardized reporting protocols to enhance the integration of artificial intelligence in nursing education and practice.
Abstract Objectives This study aims to clarify the recruitment of public health nurses in local governments in Japan during the Covid-19 pandemic. Study design A cross-sectional study. Methods A cross-sectional study of 150 local governments that have public health centers in Japan was conducted. The survey period was November to December 2021. The survey items were the number of full-time and part-time public health nurses (PHNs), the number of PHNs who resigned or retired from the job, and the
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