Tag Archive for: vírus

118. Koronavírus 2019-nCoV vs. Syntetická Biológia: Pomôže nám bioinžinierstvo vyhrať?

V dnešnej epizóde pravidelnej dávky sa s Mirom rozprávame o Koronavíruse, o tom, ako do boja proti nákazlivým chorobám zapájame matematiku a ako nám pri diagnostike vírusových ochorení môže pomôcť syntetická biológia. 

Referencie:

  • [1] Zhao, S., Lin, Q., Ran, J., Musa, S. S., Yang, G., Wang, W., … Wang, M. H. (2020). Preliminary estimation of the basic reproduction number of novel coronavirus (2019-nCoV) in China, from 2019 to 2020: A data-driven analysis in the early phase of the outbreak. International Journal of Infectious Diseaseshttps://doi.org/10.1016/j.ijid.2020.01.050
  • [2] Zhang, X. S., Pebody, R., Charlett, A., de Angelis, D., Birrell, P., Kang, H., … Choi, Y. H. (2017). Estimating and modelling the transmissibility of Middle East Respiratory Syndrome CoronaVirus during the 2015 outbreak in the Republic of Korea. Influenza and Other Respiratory Viruses11(5), 434–444. https://doi.org/10.1111/irv.12467
  • [3] Ng, T. W., Turinici, G., & Danchin, A. (2003). A double epidemic model for the SARS propagation. BMC Infectious Diseases3(1), 19. https://doi.org/10.1186/1471-2334-3-19
  • [4] Dénes, A., & Gumel, A. B. (2019). Modeling the impact of quarantine during an outbreak of Ebola virus disease. Infectious Disease Modelling4, 12–27. https://doi.org/10.1016/j.idm.2019.01.003
  • [5]Pardee, K., Green, A. A., Takahashi, M. K., Braff, D., Lambert, G., Lee, J. W., … Collins, J. J. (2016). Rapid, Low-Cost Detection of Zika Virus Using Programmable Biomolecular Components. Cell165(5), 1255–1266. https://doi.org/10.1016/j.cell.2016.04.059
  • [6] Coronavirus. (n.d.). Retrieved January 31, 2020, from https://www.who.int/health-topics/coronavirus
  • [7] (6) Coronavirus latest: First cases of the disease confirmed in the UK | Financial Times. (n.d.). Retrieved January 31, 2020, from https://www.ft.com/content/96bd61c2-226f-31f4-99fa-02cb85c42bf2
  • [8] Bussell, E. H., Dangerfield, C. E., Gilligan, C. A., & Cunniffe, N. J. (2019). Applying optimal control theory to complex epidemiological models to inform real-world disease management. Philosophical Transactions of the Royal Society B: Biological Sciences374(1776). https://doi.org/10.1098/rstb.2018.0284

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