Taira K - Search Results

1

Experience of annual events in the family and social adjustment of school-age children.

Hosokawa R, Katsura T, Taira K. Hosokawa R, et al. Among authors: taira k. Child Adolesc Psychiatry Ment Health. 2022 Jun 3;16(1):39. doi: 10.1186/s13034-022-00475-w. Child Adolesc Psychiatry Ment Health. 2022. PMID: 35659280 Free PMC article.

2

Predicting the Number of Suicides in Japan Using Internet Search Queries: Vector Autoregression Time Series Model.

Taira K, Hosokawa R, Itatani T, Fujita S. Taira K, et al. JMIR Public Health Surveill. 2021 Dec 3;7(12):e34016. doi: 10.2196/34016. JMIR Public Health Surveill. 2021. PMID: 34823225 Free PMC article.

3

Changes in the Number of Public Health Nurses Employed in Local Governments in Japan During the Covid-19 Pandemic: A Cross-Sectional Study.

Taira K, Hosokawa R, Shiomi M. Taira K, et al. SAGE Open Nurs. 2022 Nov 24;8:23779608221140718. doi: 10.1177/23779608221140718. eCollection 2022 Jan-Dec. SAGE Open Nurs. 2022. PMID: 36451697 Free PMC article.

4

Factors affecting subjective health of child-rearing-aged Japanese adults, considering the effect of healthy life expectancy: A cross-sectional study.

Taira K. Taira K. SAGE Open Med. 2022 Jan 28;10:20503121221074483. doi: 10.1177/20503121221074483. eCollection 2022. SAGE Open Med. 2022. PMID: 35111325 Free PMC article.

5

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

Taira K, Fujita S. Taira K, et al. JMIR Form Res. 2022 Jan 20;6(1):e27805. doi: 10.2196/27805. JMIR Form Res. 2022. PMID: 35049512 Free PMC article.

6

Predicting Prefecture-Level Well-Being Indicators in Japan Using Search Volumes in Internet Search Engines: Infodemiology Study.

Yang MS, Taira K. Yang MS, et al. Among authors: taira k. J Med Internet Res. 2024 Nov 11;26:e64555. doi: 10.2196/64555. J Med Internet Res. 2024. PMID: 39527805 Free PMC article.

7

Association between burnout and job-quitting intentions among public health center staff during the COVID-19 pandemic: a nationwide survey in Japan.

Taira K, Itaya T, Iwasaki K, Iwase Y, Tabuchi S, Shiomi M. Taira K, et al. Nihon Koshu Eisei Zasshi. 2024 Dec 18. doi: 10.11236/jph.24-076. Online ahead of print. Nihon Koshu Eisei Zasshi. 2024. PMID: 39694513 Free article.

8

The Association Between COVID-19 Vaccination Uptake and Information-Seeking Behaviors Using the Internet: Nationwide Cross-Sectional Study.

Taira K, Shiomi M, Nakabe T, Imanaka Y. Taira K, et al. J Med Internet Res. 2025 Jan 14;27:e59352. doi: 10.2196/59352. J Med Internet Res. 2025. PMID: 39808493 Free article.

9

[A Study of Job Retention among Nurses Engaged in Home-Visit Bathing Services].

Itatani T, Taira K, Ito M. Itatani T, et al. Among authors: taira k. Gan To Kagaku Ryoho. 2016 Dec;43(Suppl 1):71-73. Gan To Kagaku Ryoho. 2016. PMID: 28028285 Japanese.

10

[Investigation of the actual conditions of users of a home-visiting bathing service based on the long-term care insurance care ranking and factors affecting the judgment of bathing possibility].

Taira K, Itatani T, Kamide K, Ito M. Taira K, et al. Nihon Ronen Igakkai Zasshi. 2019;56(1):51-58. doi: 10.3143/geriatrics.56.51. Nihon Ronen Igakkai Zasshi. 2019. PMID: 30760683 Free article. Japanese.

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