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  1. Article ; Online: COVID-19 and medical education in Japan: a struggle for fairness and transparency.

    Kaneda, Yudai / Higuchi, Yuka / Yoshida, Makoto / Saito, Yoshika

    International journal of medical education

    2023  Volume 14, Page(s) 145–146

    MeSH term(s) Humans ; Japan ; COVID-19 ; Education, Medical
    Language English
    Publishing date 2023-10-06
    Publishing country England
    Document type Letter
    ISSN 2042-6372
    ISSN (online) 2042-6372
    DOI 10.5116/ijme.6512.8cb5
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Japan's COVID-19 response: underutilized beds and misused funds.

    Saito, Yoshika / Ozaki, Akihiko / Tanimoto, Tetsuya / Takita, Morihito / Kami, Masahiro

    Frontiers in public health

    2023  Volume 11, Page(s) 1277746

    MeSH term(s) Humans ; Japan ; COVID-19/epidemiology ; Financial Management ; Population Dynamics
    Language English
    Publishing date 2023-10-02
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2711781-9
    ISSN 2296-2565 ; 2296-2565
    ISSN (online) 2296-2565
    ISSN 2296-2565
    DOI 10.3389/fpubh.2023.1277746
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: A 9-Year Investigation of Healthcare Industry Payments to Pulmonologists in the United States.

    Murayama, Anju / Kugo, Hinari / Saito, Yoshika / Saito, Hiroaki / Tanimoto, Tetsuya / Ozaki, Akihiko

    Annals of the American Thoracic Society

    2023  Volume 20, Issue 9, Page(s) 1283–1292

    Abstract: Rationale: ...

    Abstract Rationale:
    MeSH term(s) Humans ; United States ; Health Care Sector ; Pulmonologists ; Physicians ; Industry ; Databases, Factual ; Conflict of Interest ; Drug Industry
    Language English
    Publishing date 2023-03-21
    Publishing country United States
    Document type Observational Study ; Journal Article
    ZDB-ID 2717461-X
    ISSN 2325-6621 ; 1943-5665 ; 2325-6621
    ISSN (online) 2325-6621 ; 1943-5665
    ISSN 2325-6621
    DOI 10.1513/AnnalsATS.202209-827OC
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

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    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (2.OG)
    ab Jg. 2022: Lesesaal (EG)

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  4. Article: Effectiveness of the Booster of SARS-CoV-2 Vaccine among Japanese Adolescents: A Cohort Study.

    Saito, Yoshika / Yamamoto, Kana / Takita, Morihito / Kami, Masahiro / Tsubokura, Masaharu / Shibuya, Kenji

    Vaccines

    2022  Volume 10, Issue 11

    Abstract: Vaccination is effective in preventing COVID-19-related hospitalization among all age groups, but there is limited evidence on the effectiveness of the booster of the SARS-CoV-2 vaccine among adolescents. We analyzed the data on the status of SARS-CoV-2 ... ...

    Abstract Vaccination is effective in preventing COVID-19-related hospitalization among all age groups, but there is limited evidence on the effectiveness of the booster of the SARS-CoV-2 vaccine among adolescents. We analyzed the data on the status of SARS-CoV-2 infection and their vaccination profiles in adolescents aged 13-18 years in Soma city (Fukushima, Japan) (
    Language English
    Publishing date 2022-11-12
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2703319-3
    ISSN 2076-393X
    ISSN 2076-393X
    DOI 10.3390/vaccines10111914
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Modeling and predicting individual variation in COVID-19 vaccine-elicited antibody response in the general population.

    Nakamura, Naotoshi / Kobashi, Yurie / Kim, Kwang Su / Park, Hyeongki / Tani, Yuta / Shimazu, Yuzo / Zhao, Tianchen / Nishikawa, Yoshitaka / Omata, Fumiya / Kawashima, Moe / Yoshida, Makoto / Abe, Toshiki / Saito, Yoshika / Senoo, Yuki / Nonaka, Saori / Takita, Morihito / Yamamoto, Chika / Kawamura, Takeshi / Sugiyama, Akira /
    Nakayama, Aya / Kaneko, Yudai / Jeong, Yong Dam / Tatematsu, Daiki / Akao, Marwa / Sato, Yoshitaka / Iwanami, Shoya / Fujita, Yasuhisa / Wakui, Masatoshi / Aihara, Kazuyuki / Kodama, Tatsuhiko / Shibuya, Kenji / Iwami, Shingo / Tsubokura, Masaharu

    PLOS digital health

    2024  Volume 3, Issue 5, Page(s) e0000497

    Abstract: As we learned during the COVID-19 pandemic, vaccines are one of the most important tools in infectious disease control. To date, an unprecedentedly large volume of high-quality data on COVID-19 vaccinations have been accumulated. For preparedness in ... ...

    Abstract As we learned during the COVID-19 pandemic, vaccines are one of the most important tools in infectious disease control. To date, an unprecedentedly large volume of high-quality data on COVID-19 vaccinations have been accumulated. For preparedness in future pandemics beyond COVID-19, these valuable datasets should be analyzed to best shape an effective vaccination strategy. We are collecting longitudinal data from a community-based cohort in Fukushima, Japan, that consists of 2,407 individuals who underwent serum sampling two or three times after a two-dose vaccination with either BNT162b2 or mRNA-1273. Using the individually reconstructed time courses of the vaccine-elicited antibody response based on mathematical modeling, we first identified basic demographic and health information that contributed to the main features of the antibody dynamics, i.e., the peak, the duration, and the area under the curve. We showed that these three features of antibody dynamics were partially explained by underlying medical conditions, adverse reactions to vaccinations, and medications, consistent with the findings of previous studies. We then applied to these factors a recently proposed computational method to optimally fit an "antibody score", which resulted in an integer-based score that can be used as a basis for identifying individuals with higher or lower antibody titers from basic demographic and health information. The score can be easily calculated by individuals themselves or by medical practitioners. Although the sensitivity of this score is currently not very high, in the future, as more data become available, it has the potential to identify vulnerable populations and encourage them to get booster vaccinations. Our mathematical model can be extended to any kind of vaccination and therefore can form a basis for policy decisions regarding the distribution of booster vaccines to strengthen immunity in future pandemics.
    Language English
    Publishing date 2024-05-03
    Publishing country United States
    Document type Journal Article
    ISSN 2767-3170
    ISSN (online) 2767-3170
    DOI 10.1371/journal.pdig.0000497
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Stratifying elicited antibody dynamics after two doses of SARS-CoV-2 vaccine in a community-based cohort in Fukushima, Japan

    Nakamura, Naotoshi / Kobashi, Yurie / Kim, Kwang Su / Tani, Yuta / Shimazu, Yuzo / Zhao, Tianchen / Nishikawa, Yoshitaka / Omata, Fumiya / Kawashima, Moe / Yoshida, Makoto / Abe, Toshiki / Saito, Yoshika / Senoo, Yuki / Nonaka, Saori / Takita, Morihito / Yamamoto, Chika / Kawamura, Takeshi / Sugiyama, Akira / Nakayama, Aya /
    Kaneko, Yudai / Park, Hyeongi / Jeong, Yong Dam / Tatematsu, Daiki / Akao, Marwa / Sato, Yoshitaka / Iwanami, Shoya / Fujita, Yasuhisa / Wakui, Masatoshi / Aihara, Kazuyuki / Kodama, Tatsuhiko / Shibuya, Kenji / Iwami, Shingo / Tsubokura, Masaharu

    medRxiv

    Abstract: Recent studies have provided insights into the effect of vaccine boosters on recall immunity. Given the limited global supply of COVID-19 vaccines, identifying vulnerable populations with lower sustained vaccine-elicited antibody titers is important for ... ...

    Abstract Recent studies have provided insights into the effect of vaccine boosters on recall immunity. Given the limited global supply of COVID-19 vaccines, identifying vulnerable populations with lower sustained vaccine-elicited antibody titers is important for targeting individuals for booster vaccinations. Here we investigated longitudinal data in a cohort of 2,526 people in Fukushima, Japan, from April 2021 to December 2021. Antibody titers following two doses of a COVID-19 vaccine were repeatedly monitored and information on lifestyle habits, comorbidities, adverse reactions, and medication use was collected. Using mathematical modeling and machine learning, we stratified the time-course patterns of antibody titers and identified vulnerable populations with low sustained antibody titers. Moreover, we showed that only 5.7% of the participants in our cohort were part of the "durable" population with high sustained antibody titers, which suggests that this durable population might be overlooked in small cohorts. We also found large variation in antibody waning within our cohort. There is a potential usefulness of our approach for identifying the neglected vulnerable population.
    Keywords covid19
    Language English
    Publishing date 2022-06-14
    Publisher Cold Spring Harbor Laboratory Press
    Document type Article ; Online
    DOI 10.1101/2022.06.11.22276266
    Database COVID19

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