aakhmetz
College of Public Health, National Taiwan University, Taipei, Taiwan
National Taiwan University College of Public HealthTaipei, Taiwan
Pinned Repositories
AkhmHoch2015Scripts
(need to be done) Supporting materials for eLife study Akhmetzhanov AR, Hochberg ME (2015) "Dynamics of preventive vs post-diagnostic cancer control using low-impact measures" https://elifesciences.org/articles/06266
AkhmKim2018BiorXivScripts
Supporting materials for a modeling study on treatment strategies of melanoma tumours with bistable dynamics of resistance.
AkhmKim2019Scripts
Supporting materials for Akhmetzhanov AR, Kim JW, Sullivan R, Beckman RA, Tamayo P, Yeang CH 2019 "Modelling bistable tumour population dynamics to design effective treatment strategies." Journal of Theoretical Biology
COVID19IncidenceHokkaidoFeb2020
Estimating the real incidence of COVID-19 in Hokkaido, Japan, February-March 2020
COVID19IncubationPeriod
Study on estimating incubation period distribution and other epidemiological parameters for a novel coronavirus disease (COVID-19)
COVID19SerialInterval
Supporting materials for Nishiura et al "Serial interval of novel coronavirus (COVID-19) infections" International journal of infectious diseases 2020
EbolaForecast2019Epidemics
Supporting materials for Akhmetzhanov AR, Lee H, Jung SM, Kayano T, Yuan B, Nishiura H (2019) "Analyzing and forecasting the Ebola incidence in North Kivu, the Democratic Republic of the Congo from 2018-19 in real time" Epidemics
Mpox-in-MainlandChina-2023
Mpox-IncubationPeriodSerialInterval-Meta2023
Taiwan-COVID19-end-of-outbreak-JanFeb2021
Supporting materials for Akhmetzhanov et al 2021
aakhmetz's Repositories
aakhmetz/COVID19IncubationPeriod
Study on estimating incubation period distribution and other epidemiological parameters for a novel coronavirus disease (COVID-19)
aakhmetz/COVID19SerialInterval
Supporting materials for Nishiura et al "Serial interval of novel coronavirus (COVID-19) infections" International journal of infectious diseases 2020
aakhmetz/COVID19IncidenceHokkaidoFeb2020
Estimating the real incidence of COVID-19 in Hokkaido, Japan, February-March 2020
aakhmetz/AkhmKim2019Scripts
Supporting materials for Akhmetzhanov AR, Kim JW, Sullivan R, Beckman RA, Tamayo P, Yeang CH 2019 "Modelling bistable tumour population dynamics to design effective treatment strategies." Journal of Theoretical Biology
aakhmetz/EbolaForecast2019Epidemics
Supporting materials for Akhmetzhanov AR, Lee H, Jung SM, Kayano T, Yuan B, Nishiura H (2019) "Analyzing and forecasting the Ebola incidence in North Kivu, the Democratic Republic of the Congo from 2018-19 in real time" Epidemics
aakhmetz/Mpox-in-MainlandChina-2023
aakhmetz/Mpox-IncubationPeriodSerialInterval-Meta2023
aakhmetz/Taiwan-COVID19-end-of-outbreak-JanFeb2021
Supporting materials for Akhmetzhanov et al 2021
aakhmetz/AkhmHoch2015Scripts
(need to be done) Supporting materials for eLife study Akhmetzhanov AR, Hochberg ME (2015) "Dynamics of preventive vs post-diagnostic cancer control using low-impact measures" https://elifesciences.org/articles/06266
aakhmetz/AkhmKim2018BiorXivScripts
Supporting materials for a modeling study on treatment strategies of melanoma tumours with bistable dynamics of resistance.
aakhmetz/ASF-in-China-2018-2019
Supporting materials for Akhmetzhanov et al. EpidemInfect 2024
aakhmetz/Covid19-cats-story
Rising evidence of COVID-19 transmission potential to and between animals: do we need to be concerned? medrxiv 2020
aakhmetz/COVID19-Japan-Reff
aakhmetz/COVID19-Reff-Taiwan-2021
Supporting materials for Akhmetzhanov AR et al. Transmission dynamics and effectiveness of control measures during COVID-19 surge, Taiwan, April–August 2021. Emerg Infect Dis. 2022 Oct
aakhmetz/COVID19-Replication-He-et-al-2020
aakhmetz/covid19_generationtime
Data and code to accompany publication once peer reviewed. Preprint available on medRxiv
aakhmetz/COVID19RealtimeCFR
Study on real-time assesment of case fatality risk for novel coronavirus (COVID-19) infection
aakhmetz/DiphtheriaRohingya2017
Code that was used for simulations of PeerJ study Matsuyama R, Akhmetzhanov AR, et al (2018) "Uncertainty and sensitivity analysis of the basic reproduction number of diphtheria: A case study of Rohingya refugee camp in Bangladesh, November-December 2017" http://dx.doi.org/10.7717/peerj.4583
aakhmetz/Excess-mortality-in-US-2020
Code snippets
aakhmetz/FoodPoisoning-in-Taiwan-2024
aakhmetz/HCC-Meta2024
(under construction)
aakhmetz/Japan-COVID19-end-of-outbreak-2020
Supporting materials for Linton NM et al IJID 2021.
aakhmetz/Lassa2018Scripts
Quantifying the seasonal drivers of transmission for Lassa fever in Nigeria
aakhmetz/MeaslesJapan2018
Supporting materials for Akhmetzhanov AR, Lee H, Jung S-M, et al (2018) Real time forecasting of measles using generation-dependent mathematical model in Japan. PLoS Currents Outbreaks
aakhmetz/Omicron-incper-Taiwan-2023
aakhmetz/pcr-profile
aakhmetz/public
aakhmetz/Taiwan-COVID-HotelOutbreak-Dec2021
aakhmetz/WHO_WPSAR_Outbreak-of-Measles-in-Taiwan-and-Japan-2018
Supporting materials for Shimizu et al 2018 WPSAR