Taishi Kayano
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Predicting congenital rubella syndrome in Japan, 2018–2019
H Lee, T Kayano, H Nishiura
International Journal of Infectious Diseases 82, 1-5, 2019
92019
Analyzing and forecasting the Ebola incidence in North Kivu, the Democratic Republic of the Congo from 2018–19 in real time
AR Akhmetzhanov, H Lee, S Jung, T Kayano, B Yuan, H Nishiura
Epidemics 27, 123-131, 2019
72019
Temporal changes in environmental health risks and socio-psychological status in areas affected by the 2011 tsunami in Ishinomaki, Japan
K Makita, K Inoshita, T Kayano, K Uenoyama, K Hagiwara, M Asakawa, ...
Canadian Center of Science and Education, 2014
72014
Modelling a supplementary vaccination program of rubella using the 2012–2013 epidemic data in Japan
T Kayano, H Lee, H Nishiura
International journal of environmental research and public health 16 (8), 1473, 2019
52019
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
H Nishiura, T Kayano, R Kinoshita
Travel medicine and infectious disease 30, 137-138, 2019
52019
Mapping aflatoxin risk from milk consumption using biophysical and socio-economic data: A case study of Kenya
P Ochungo, JF Lindahl, T Kayano, AJ Sirma, DM Senerwa, TN Kiama, ...
African Journal of Food, Agriculture, Nutrition and Development 16 (3 …, 2016
52016
Analysis of factors associated with hesitation to restart farming after depopulation of animals due to 2010 foot-and-mouth disease epidemic in Japan
H Kadowaki, T Kayano, T Tobinaga, A Tsutsumi, M Watari, K Makita
Journal of Veterinary Medical Science, 15-0559, 2016
52016
A Comparison of Case Fatality Risk of COVID-19 between Singapore and Japan
T Kayano, H Nishiura
Journal of Clinical Medicine 9 (10), 3326, 2020
42020
Estimating the Force of Infection with Helicobacter pylori in Japan
T Kayano, KD Lee, H Nishiura
Canadian Journal of Infectious Diseases and Medical Microbiology 2019, 2019
32019
Hospital Caseload Demand in the Presence of Interventions during the COVID-19 Pandemic: A Modeling Study
K Hayashi, T Kayano, S Sorano, H Nishiura
Journal of Clinical Medicine 9 (10), 3065, 2020
22020
Identifying geographic areas at risk of rubella epidemics in Japan using seroepidemiological data
T Kayano, H Lee, R Kinoshita, H Nishiura
International Journal of Infectious Diseases 102, 203-211, 2021
12021
The factor preventing the farmers in Miyazaki Prefecture to restart farming after 2010 Miyazaki foot-and-mouth disease outbreaks
H Kadowaki, T Kayano, T Tobinaga, A Tsutsumi, M Watari, K Makita
12012
A Bayesian inference for the prevalence of Escherichia coli O157 on cattle carcasses at the abattoirs in Nairobi, Kenya
T Kayano, CW Mwai, K Makita, EK Kang'ethe, D Grace
2012
Environmental risk assessment of tsunami-affected areas in Ishinomaki, Japan
K Makita, K Inoshita, T Kayano, K Hagiwara, M Asakawa, K Ogawa, ...
2012
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