| Number of averted COVID-19 cases and deaths attributable to reduced risk in vaccinated individuals in Japan T Kayano, M Sasanami, T Kobayashi, YK Ko, K Otani, M Suzuki, ... The Lancet Regional Health–Western Pacific 28, 2022 | 30 | 2022 |
| 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 | 23 | 2020 |
| Estimating COVID-19 cases infected with the variant alpha (VOC 202012/01): an analysis of screening data in Tokyo, January-March 2021 H Murayama, T Kayano, H Nishiura Theoretical Biology and Medical Modelling 18, 1-5, 2021 | 20 | 2021 |
| The number of COVID-19 clusters in healthcare and elderly care facilities averted by vaccination of healthcare workers in Japan, February–June 2021 M Sasanami, T Kayano, H Nishiura Math Biosci Eng 19 (3), 2762-2773, 2022 | 14 | 2022 |
| 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 | 14 | 2019 |
| Predicting congenital rubella syndrome in Japan, 2018–2019 H Lee, T Kayano, H Nishiura International Journal of Infectious Diseases 82, 1-5, 2019 | 14 | 2019 |
| Projecting the COVID-19 immune landscape in Japan in the presence of waning immunity and booster vaccination M Sasanami, M Fujimoto, T Kayano, K Hayashi, H Nishiura Journal of theoretical biology 559, 111384, 2023 | 13 | 2023 |
| 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 | 10 | 2016 |
| Evaluating the COVID-19 vaccination program in Japan, 2021 using the counterfactual reproduction number T Kayano, Y Ko, K Otani, T Kobayashi, M Suzuki, H Nishiura Scientific Reports 13 (1), 17762, 2023 | 9 | 2023 |
| Assessing public health and social measures against COVID-19 in Japan From March to June 2021 K Hayashi, T Kayano, A Anzai, M Fujimoto, N Linton, M Sasanami, ... Frontiers in Medicine 9, 937732, 2022 | 9 | 2022 |
| Age-dependent risks of COVID-19 putatively caused by variant alpha in Japan T Kayano, K Hayashi, T Kobayashi, H Nishiura Frontiers in Public Health 10, 837970, 2022 | 8 | 2022 |
| 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 | 8 | 2020 |
| Response to COVID-19 during the Tokyo Olympic Games: Did we properly assess the risk? S Jung, K Hayashi, T Kayano, H Nishiura Epidemics 40, 100618, 2022 | 7 | 2022 |
| 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 | 7 | 2019 |
| 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 (1 …, 2019 | 7 | 2019 |
| 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, ... Environment and Pollution 3 (1), 1-20, 2014 | 7 | 2014 |
| 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 | 6 | 2019 |
| Monitoring the COVID-19 immune landscape in Japan M Sasanami, T Kayano, H Nishiura International Journal of Infectious Diseases 122, 300-306, 2022 | 5 | 2022 |
| Phenomenological and mechanistic models for predicting early transmission data of COVID-19 T Miyama, S Jung, K Hayashi, A Anzai, R Kinoshita, T Kobayashi, ... Math. Biosci. Eng 19 (2), 2043-55, 2022 | 5 | 2022 |
| Knowledge gap in assessing the risk of a human pandemic via mammals’ infection with highly pathogenic avian influenza A (H5N1) H Nishiura, T Kayano, K Hayashi, T Kobayashi, Y Okada Eurosurveillance 28 (9), 2300134, 2023 | 4 | 2023 |
