Miyama Takeshi 三山豪士

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MIYAMA Takeshi 三山豪士

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Researcher Number	30846241
Affiliation (Current)	2025: 地方独立行政法人大阪健康安全基盤研究所, 公衆衛生部, 主任研究員
Affiliation (based on the past Project Information) *help	2023: 地方独立行政法人大阪健康安全基盤研究所, 公衆衛生部, 主任研究員 2019 – 2022: 地方独立行政法人大阪健康安全基盤研究所, 公衆衛生部, 研究員
Review Section/Research Field	Principal Investigator Basic Section 58030:Hygiene and public health-related: excluding laboratory approach / 0908:Society medicine, nursing, and related fields
Keywords	Principal Investigator 疫学 / 2次感染者数分布 / 流行予測 / 実効再生産数 / 早期探知 / 新型コロナウイルス感染症 / 感染症疫学 / RSウイルス感染症 / 呼吸器感染症 / 地域間移動人流量 … More / リスク因子 / 数理モデル / 海外渡航者数 / 降水量 / 季節性変動 / 子孫分布 / RSV感染症 / 流行期判定 Less

Epidemiological research on spatio-temporal dynamics of respiratory infectious diseases and it's projectionPrincipal Investigator
- Principal Investigator
  
  三山豪士
- Project Period (FY)
  2022 – 2026
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 58030:Hygiene and public health-related: excluding laboratory approach
- Research Institution
  Osaka Institute of Public Health
Epidemiological study for seasonality change of respiratory syncytial virus epidemics: risk factor analysis and mathematical modelingPrincipal Investigator
- Principal Investigator
  
  MIYAMA Takeshi
- Project Period (FY)
  2019 – 2022
- Research Category
  
  Grant-in-Aid for Research Activity Start-up
- Review Section
  
  0908:Society medicine, nursing, and related fields
- Research Institution
  Osaka Institute of Public Health

All 2023 2022 2021 2020

All Journal Article Presentation

[Journal Article] Exploring the threshold for the start of respiratory syncytial virus infection epidemic season using sentinel surveillance data in Japan2023
- Author(s)
  Miyama Takeshi、Kakimoto Kensaku、Iritani Nobuhiro、Nishio Takayuki、Ukai Tomohiko、Satsuki Yuka、Yamanaka Yasutaka、Nishida Yoko、Shintani Ayumi、Motomura Kazushi
- Journal Title
  
  Frontiers in Public Health
  
  Volume: 11 Pages: 1062726-1062726
- DOI
  10.3389/fpubh.2023.1062726
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-22K17410, KAKENHI-PROJECT-19K24219
[Journal Article] Decrease in overdispersed secondary transmission of COVID-19 over time in Japan2022
- Author(s)
  Miyama Takeshi、Jung Sung-mok、Nishiura Hiroshi
- Journal Title
  
  Epidemiology and Infection
  
  Volume: 150 Pages: 1-29
- DOI
  10.1017/s0950268822001789
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-22K17410, KAKENHI-PROJECT-19K24219, KAKENHI-PROJECT-23K21519
[Journal Article] Phenomenological and mechanistic models for predicting early transmission data of COVID-192021
- Author(s)
  Miyama Takeshi、Hiroshi Nishiura
- Journal Title
  
  Mathematical Biosciences and Engineering
  
  Volume: 19 Issue: 2 Pages: 2043-2055
- DOI
  10.3934/mbe.2022096
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17H04701, KAKENHI-PROJECT-21K10495, KAKENHI-PROJECT-21K17307, KAKENHI-PROJECT-19K24219
[Journal Article] Seasonal shift in epidemics of respiratory syncytial virus infection in Japan2021
- Author(s)
  Miyama Takeshi、Iritani Nobuhiro、Nishio Takayuki、Ukai Tomohiko、Satsuki Yuka、Miyata Hiromi、Shintani Ayumi、Hiroi Satoshi、Motomura Kazushi、Kobayashi Kazuo
- Journal Title
  
  Epidemiology and Infection
  
  Volume: 149
- DOI
  10.1017/s0950268821000340
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-19K24219, KAKENHI-PROJECT-20K10443
[Journal Article] Time Series Analysis of Climate and Air Pollution Factors Associated with Atmospheric Nitrogen Dioxide Concentration in Japan2020
- Author(s)
  Miyama Takeshi、Matsui Hiroshi、Azuma Kenichi、Minejima Chika、Itano Yasuyuki、Takenaka Norimichi、Ohyama Masayuki
- Journal Title
  
  International Journal of Environmental Research and Public Health
  
  Volume: 17 Issue: 24 Pages: 9507-9507
- DOI
  10.3390/ijerph17249507
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-19K24219
[Presentation] 定点あたり報告数を用いた大阪府におけるRSウイルス感染症の流行開始基準値の検討2023
- Author(s)
  三山豪士、柿本健作、入谷展弘、西尾孝之、鵜飼友彦、皐月由香、山中靖貴、西田陽子、新谷歩、本村和嗣
- Organizer
  第36回公衆衛生情報協議会研究会
- Data Source
  KAKENHI-PROJECT-22K17410
[Presentation] 定点あたり報告数を用いた大阪府における RS ウイルス感染症の流行開始基準値の検討2023
- Author(s)
  三山豪士、柿本健作、入谷展弘、西尾孝之、鵜飼友彦、皐月由香、山中靖貴、西田陽子、新谷歩、本村和嗣
- Organizer
  第36回公衆衛生情報協議会研究会
- Data Source
  KAKENHI-PROJECT-19K24219
[Presentation] COVID-19パンデミック中の他の疾患の動態に係る疫学モデル研究　RSV感染症への影響予測2023
- Author(s)
  三山豪士、本村和嗣、西浦博
- Organizer
  2023年度日本数理生物学会年会
- Data Source
  KAKENHI-PROJECT-22K17410
[Presentation] RSウイルス感染症の流行開始基準値の検討2023
- Author(s)
  三山豪士、本村和嗣
- Organizer
  第97回日本感染症学会学術講演会
- Data Source
  KAKENHI-PROJECT-19K24219
[Presentation] RSウイルス感染症の流行開始基準値の検討2023
- Author(s)
  三山豪士、本村和嗣
- Organizer
  第97回日本感染症学会学術講演会
- Data Source
  KAKENHI-PROJECT-22K17410
[Presentation] Age-dependent relative susceptibility of SARS-CoV-2 infection: a statistical inference using household data2021
- Author(s)
  Miyama T, Jung SM, Nishiura H
- Organizer
  8th International Conference on Infectious Disease Dynamics
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K24219
[Presentation] COVID-19の2次感染者数分布の変動2021
- Author(s)
  三山豪士, Sung-mok Jung, 西浦博
- Organizer
  第31回日本数理生物学会大会
- Data Source
  KAKENHI-PROJECT-19K24219
[Presentation] Phenomenological and mechanistic model comparison for the forecast of an epidemic using COVID-19 reported data in China2020
- Author(s)
  Miyama Takeshi、Hayashi Katsuma、Jung Sung-mok、Anzai Asami、Kinoshita Ryo、Kobayashi Tetsuro、Linton M. Natalie、Suzuki Ayako、Kayano Taishi、Akhmetzhanov R. Andrei、Nishiura Hiroshi
- Organizer
  COVID-19 Dynamics & Evolution
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K24219

1. 西浦博

# of Collaborated Projects: 0 results

# of Collaborated Products: 1 results

Miyama Takeshi 三山 豪士

MIYAMA Takeshi 三山 豪士

Research Projects

Research Products

Co-Researchers

Epidemiological research on spatio-temporal dynamics of respiratory infectious diseases and it's projectionPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Epidemiological study for seasonality change of respiratory syncytial virus epidemics: risk factor analysis and mathematical modelingPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

[Journal Article] Exploring the threshold for the start of respiratory syncytial virus infection epidemic season using sentinel surveillance data in Japan2023

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Decrease in overdispersed secondary transmission of COVID-19 over time in Japan2022

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Phenomenological and mechanistic models for predicting early transmission data of COVID-192021

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Seasonal shift in epidemics of respiratory syncytial virus infection in Japan2021

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Time Series Analysis of Climate and Air Pollution Factors Associated with Atmospheric Nitrogen Dioxide Concentration in Japan2020

Author(s)

Journal Title

DOI

Data Source

[Presentation] 定点あたり報告数を用いた大阪府におけるRSウイルス感染症の流行開始基準値の検討2023

Author(s)

Organizer

Data Source

[Presentation] 定点あたり報告数を用いた大阪府における RS ウイルス感染症の流行開始基準値の検討2023

Author(s)

Organizer

Data Source

[Presentation] COVID-19パンデミック中の他の疾患の動態に係る疫学モデル研究 RSV感染症への影響予測2023

Author(s)

Organizer

Data Source

[Presentation] RSウイルス感染症の流行開始基準値の検討2023

Author(s)

Organizer

Data Source

[Presentation] RSウイルス感染症の流行開始基準値の検討2023

Author(s)

Organizer

Data Source

[Presentation] Age-dependent relative susceptibility of SARS-CoV-2 infection: a statistical inference using household data2021

Author(s)

Organizer

Data Source

[Presentation] COVID-19の2次感染者数分布の変動2021

Author(s)

Organizer

Data Source

[Presentation] Phenomenological and mechanistic model comparison for the forecast of an epidemic using COVID-19 reported data in China2020

Author(s)

Organizer

Data Source

Miyama Takeshi 三山豪士

MIYAMA Takeshi 三山豪士

[Presentation] COVID-19パンデミック中の他の疾患の動態に係る疫学モデル研究　RSV感染症への影響予測2023