F
Fumiko Kasuga
Researcher at National Institutes of Health
Publications - 44
Citations - 1981
Fumiko Kasuga is an academic researcher from National Institutes of Health. The author has contributed to research in topics: Food safety & Population. The author has an hindex of 17, co-authored 44 publications receiving 1735 citations.
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Journal ArticleDOI
World Health Organization Estimates of the Global and Regional Disease Burden of 11 Foodborne Parasitic Diseases, 2010: A Data Synthesis
Paul R. Torgerson,Brecht Devleesschauwer,Brecht Devleesschauwer,Brecht Devleesschauwer,Nicolas Praet,Niko Speybroeck,Arve Lee Willingham,Fumiko Kasuga,Mohammad Bagher Rokni,Xiao-Nong Zhou,Eric M. Fèvre,Eric M. Fèvre,Banchob Sripa,Neyla Gargouri,Thomas Fürst,Christine M. Budke,Hélène Carabin,Martyn D. Kirk,Frederick J. Angulo,Arie H. Havelaar,Arie H. Havelaar,Nilanthi de Silva +21 more
TL;DR: The first estimates of the global and regional human disease burden of 10 helminth diseases and toxoplasmosis that may be attributed to contaminated food are presented, representing an important step forward in understanding the impact of foodborne diseases globally and regionally.
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Enterohemorrhagic Escherichia coli O157:H7 Present in Radish Sprouts
Yoshinori Itoh,Yoshiko Sugita-Konishi,Fumiko Kasuga,Masaaki Iwaki,Yukiko Hara-Kudo,Noriko Saito,Yoko Noguchi,Hirotaka Konuma,Susumu Kumagai +8 more
TL;DR: The presence of viable enterohemorrhagic Escherichia coli O157:H7 not only on the outer surfaces but also in the inner tissues and stomata of cotyledons of radish sprouts grown from seeds experimentally contaminated with the bacterium was demonstrated.
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Dose response modelling of Escherichia coli O157 incorporating data from foodborne and environmental outbreaks.
TL;DR: This work collates outbreak data obtained from global sources and these are fitted using exponential and beta-Poisson models and the best fitting model was found to be the beta- Poisson model using a beta-binomial likelihood and the authors favour the exact version of this model.
Journal ArticleDOI
Dose-response modeling of Salmonella using outbreak data.
TL;DR: The dose-response relations indicate that outbreaks are associated with higher doses making it more likely to have a higher attack rate, and can be readily used in quantitative microbiological risk assessment to predict human infection and illness rates.
Journal ArticleDOI
Estimating the burden of foodborne diseases in Japan
Yuko Kumagai,Stuart Gilmour,Erika Ota,Yoshika Momose,Toshiro Onishi,Ver Bilano,Fumiko Kasuga,Tsutomu Sekizaki,Kenji Shibuya +8 more
TL;DR: Most of the burden posed by foodborne disease in Japan comes from secondary complications, and the tools developed by FERG appear useful in estimating disease burdens and setting priorities in the field of food safety.