Rchr
J-GLOBAL ID：202001015094395716   Update date: Jun. 11, 2024

Kinoshita Ryo

キノシタ リョウ | Kinoshita Ryo
Affiliation and department：
National Institute of Infectious Diseases

About National Institute of Infectious Diseases


Papers (35)：
  • Ryo Kinoshita, Sho Miyamoto, Shoko Sakuraba, Jun Sugihara, Motoi Suzuki, Tadaki Suzuki, Daisuke Yoneoka. Infection- and Vaccine-Induced SARS-CoV-2 Seroprevalence, Japan, 2023. Emerging infectious diseases. 2024. 30. 6. 1267-1270
  • Ryo Kinoshita, Satoru Arai, Motoi Suzuki, Hiroshi Nishiura. Identifying the population susceptible to rubella in Japan, 2020: Fine-scale risk mapping. Journal of Infection and Public Health. 2024
  • Miho Sassa, Ryo Kinoshita, Yayoi Murano, Hiromichi Shoji, Daisuke Yoneoka. Holiday effect on childbirth: A population-based analysis of 21,869,652 birth records, 1979-2018. PloS one. 2024. 19. 2. e0296403
  • Noriko Kitamura, Kanako Otani, Ryo Kinoshita, Fangyu Yan, Yu Takizawa, Kohei Fukushima, Daisuke Yoneoka, Motoi Suzuki, Taro Kamigaki. Protective effect of previous infection and vaccination against reinfection with BA.5 Omicron subvariant: a nationwide population-based study in Japan. The Lancet Regional Health - Western Pacific. 2023. 41. 100911-100911
  • Ryo Kinoshita, Takeshi Arashiro, Noriko Kitamura, Satoru Arai, Koki Takahashi, Tadaki Suzuki, Motoi Suzuki, Daisuke Yoneoka. Infection-Induced SARS-CoV-2 Seroprevalence among Blood Donors, Japan, 2022. Emerging infectious diseases. 2023. 29. 9. 1868-1871
ｍore...
MISC (5)：
  • 新井智, 菊池風花, 菊池風花, 林愛, 林愛, 武内健一, 吉山崇, 中西好子, 加藤誠也, 木下諒, et al. 岩手県と東京都の検診センターで収集された検診時血清の残余血清を用いた継時的な血清疫学調査. 日本ワクチン学会学術集会プログラム・抄録集. 2023. 27th
  • 北村則子, 大谷可菜子, 木下諒, 閻芳域, 滝沢木綿, 福島紘平, 米岡大輔, 鈴木基, 神垣太郎. 日本における既感染およびワクチン接種歴によるSARS-CoV2オミクロン株亜系BA.5への再感染リスク評価. 日本ワクチン学会学術集会プログラム・抄録集. 2023. 27th
  • 木下諒, 佐々美保, 吉松芙美, 大竹正悟, 鈴木基, 米岡大輔. 航空ネットワークが2022年におけるサル痘の世界的な輸入リスクに与える影響. 日本疫学会学術総会講演集(Web). 2023. 33rd
  • Hiroshi Nishiura, Taishi Kayano, Ryo Kinoshita. Overcoming the difficulty of achieving elimination status for measles and rubella due to imported infections: Estimation of the reproduction number R for measles and rubella. TRAVEL MEDICINE AND INFECTIOUS DISEASE. 2019. 30. 137-138
  • NISHIURA Hiroshi, KINOSHITA Ryo. An Epidemic Model that Predicts the Global Spread of Emerging Infectious Diseases. Systems, control and information. 2015. 59. 12. 446-451
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