2023 Fiscal Year Final Research Report

Development of health management system for school nurses based on the prediction of influenza incidence

Research Project

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Project/Area Number	20K11120
Research Category	Grant-in-Aid for Scientific Research (C)
Allocation Type	Multi-year Fund
Section	一般
Review Section	Basic Section 58080:Gerontological nursing and community health nursing-related
Research Institution	Seinan Jo Gakuin University (2023) Hiroshima University (2021-2022) Kibi International University (2020)
Principal Investigator	Masumoto Yukiko 西南女学院大学, 保健福祉学部, 講師 (50824992)
Co-Investigator(Kenkyū-buntansha)	梯正之広島大学, 医系科学研究科(保), 名誉教授 (80177344) 恒松美輪子広島大学, 医系科学研究科(保), 講師 (80704874) 松山亮太酪農学園大学, 獣医学群, 講師 (00780008)
Project Period (FY)	2020-04-01 – 2024-03-31
Keywords	インフルエンザ / 学校 / 学級閉鎖 / 数理モデル / 養護教諭
Outline of Final Research Achievements	This study aimed to analyze and evaluate quantitatively the effects of class closures at schools using a mathematical model based on absentee data at high schools and local epidemic data. A survey at elementary schools was also conducted. As a result of the analysis, class closure was found to be effective against seasonal influenza in high schools. Furthermore, we considered the timing and duration of closures to minimize the impact on educational activities of students while still being effective in controlling the spread of the virus. In addition, we were able to obtain empirical knowledge about class closures from a survey at elementary schools. Based on the above, we have provided scientifically based criteria for the implementation of class closures, and have clarified the possibility of health management based on epidemic prediction in schools.
Free Research Field	学校保健学
Academic Significance and Societal Importance of the Research Achievements	本研究により、学校における季節性インフルエンザの流行状況と学級閉鎖の実際、学校の判断規準と考え方の分布を調査し、数理モデルから計算される学級閉鎖の効果と評価について検討することは、学校での感染症対策のひとつである学級閉鎖の状況をきちんと反映した形での、根拠のある学級閉鎖の意思決定に貢献できる。さらに、各学校の季節性インフルエンザの流行抑止と教育活動に応じた効果的な学級閉鎖が明らかになれば、学校での流行抑止により地域にとっても感染者数を最小にすることにつながるとともに、児童生徒への学級閉鎖等による負担の最小に貢献することが期待できる。