| 研究課題/領域番号 |
20J21358
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| 研究種目 |
特別研究員奨励費
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| 配分区分 | 補助金 |
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| 応募区分 | 国内 |
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| 審査区分 |
小区分58030:衛生学および公衆衛生学分野関連:実験系を含まない
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| 研究機関 | 京都大学 (2021-2022)
北海道大学 (2020) |
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研究代表者 |
JUNG SUNGMOK 京都大学, 医学研究科, 特別研究員(PD)
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| 研究期間 (年度) |
2020-04-24 – 2023-03-31
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| 研究課題ステータス |
交付 (2022年度)
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| 配分額 *注記 |
3,100千円 (直接経費: 3,100千円)
2022年度: 1,000千円 (直接経費: 1,000千円)
2021年度: 1,000千円 (直接経費: 1,000千円)
2020年度: 1,100千円 (直接経費: 1,100千円)
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| キーワード | Mathematical modeling / Influenza / Secondary pneumonia / COVID-19 / Transmission dynamics / Mathematical Modeling / transmission dynamics |
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| 研究開始時の研究の概要 |
The mathematical approach can provide insights into understanding the transmission dynamics of secondary pneumonia, following the influenza outbreak. The impact of both influenza and pneumococcal vaccination programs on the reduction in secondary pneumonia incidence and deaths can be also evaluated.
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| 研究実績の概要 |
During the COVID-19 pandemic, the dynamics of respiratory infectious diseases including influenza and secondary pneumonia were significantly affected. Therefore, it is crucial to comprehend COVID-19 dynamics to reconstruct the actual dynamics of two diseases. After consulting with Hiroshi Nishiura at Kyoto University, we decided to explore COVID-19 transmission in addition to the originally proposed study. In this fiscal year, myriad studies on the dynamics of COVID-19 in Japan have been conducted. Among them, the published paper aimed to develop a framework for predicting the effective reproduction number using timely accessible data, providing essential information for timely assessment of countermeasures.
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| 現在までの達成度 (段落) |
翌年度、交付申請を辞退するため、記入しない。
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| 今後の研究の推進方策 |
翌年度、交付申請を辞退するため、記入しない。
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