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Andrei R. Akhmetzhanov's Projects

akhmhoch2015scripts icon 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

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Supporting materials for a modeling study on treatment strategies of melanoma tumours with bistable dynamics of resistance.

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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

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Rising evidence of COVID-19 transmission potential to and between animals: do we need to be concerned? medrxiv 2020

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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

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Study on estimating incubation period distribution and other epidemiological parameters for a novel coronavirus disease (COVID-19)

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Study on real-time assesment of case fatality risk for novel coronavirus (COVID-19) infection

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Supporting materials for Nishiura et al "Serial interval of novel coronavirus (COVID-19) infections" International journal of infectious diseases 2020

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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

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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

lassa2018scripts icon lassa2018scripts

Quantifying the seasonal drivers of transmission for Lassa fever in Nigeria

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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

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