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Tamaki Kobayashi

Datos Biográficos

ID6999991
NOMBRETamaki Kobayashi
NOMBRESTamaki
APELLIDOKobayashi
FIRMAKOBAYASHI T
AFILIACIONESJohns Hopkins University
ORCID0000-0002-6908-4519
VERIFICADOSí
TOTAL DE OBRAS2
TOTAL DE CITAS0
TOTAL COMO AUTOR2
TOTAL COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2020
AÑO MÁS RECIENTE DE PUBLICACIÓN2023
ÍNDICE H0
  • Novel bioinformatic methods and machine learning approaches reveal candidate biomarkers of the intensity and timing of past exposure to Plasmodium falciparum

    Open Access•Sophie Bérubé, Tamaki Kobayashi et al.•ARTICLE•PLOS Global Public Health•2023

    Accurately quantifying the burden of malaria over time is an important goal of malaria surveillance efforts and can enable effective targeting and evaluation of interventions. Malaria surveillance methods capture active or recent infections which poses several challenges to achieving malaria surveillance goals. In high transmission settings, asymptomatic infections are common and therefore accurate measurement of malaria burden demands active sur…

  • Impact of substandard and falsified antimalarials in Zambia

    Open Access•Kathryn D Jackson, Colleen R Higgins et al.•ARTICLE•BMC Public Health•2020

    Eliminating substandard and falsified antimalarials is an important step towards a malaria-free Zambia. Beyond the dissemination of insecticide-treated bed nets, indoor residual spraying, and other malaria control measures, attention must also be paid to assure the quality of antimalarial treatments

Sin obras prominentes en esta página.

  • Impact of substandard and falsified antimalarials in Zambia

    Open Access•Kathryn D Jackson, Colleen R Higgins et al.•ARTICLE•BMC Public Health•2020

    Eliminating substandard and falsified antimalarials is an important step towards a malaria-free Zambia. Beyond the dissemination of insecticide-treated bed nets, indoor residual spraying, and other malaria control measures, attention must also be paid to assure the quality of antimalarial treatments

  • Novel bioinformatic methods and machine learning approaches reveal candidate biomarkers of the intensity and timing of past exposure to Plasmodium falciparum

    Open Access•Sophie Bérubé, Tamaki Kobayashi et al.•ARTICLE•PLOS Global Public Health•2023

    Accurately quantifying the burden of malaria over time is an important goal of malaria surveillance efforts and can enable effective targeting and evaluation of interventions. Malaria surveillance methods capture active or recent infections which poses several challenges to achieving malaria surveillance goals. In high transmission settings, asymptomatic infections are common and therefore accurate measurement of malaria burden demands active sur…

Environmental health (2 obras) · Immunology (2 obras) · Malaria (2 obras) · Medicine (2 obras) · Plasmodium falciparum (2 obras) · Population (2 obras) · Artemisinin (1 obras) · Biology (1 obras) · Biostatistics (1 obras) · Computational Drug Discovery Methods (1 obras)

Ethnos_APP • Proyecto Open Source • Licencia MIT • Frontend v2.0.0 • Privacidad y Cookies • Documentación de la API: api.ethnos.app/docs • Código de la API: GitHub • DOI: 10.5281/zenodo.17049435 • Código del Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae