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Video Abstract (AI generated) (00:42) Paper PreprintThe spread of an infection is simulated with a stochastic agent-based model. In a certain range of R0 values, the infection either rapidly comes to halt or a large proportion of the population is infected until herd immunity is achieved. Which of these two possibilities actually occurs is random. The probability of each case is determined quasi-empirically. This stochastic phenomenon may explain unexpected infection trajectories.
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Manfred Eissler. (2021, Oct 25).Probability that an infection like Covid-19 stops without reaching herd immunity, calculated with a stochastic agent-based model.[Video]. Scitok. https://scitok.com/project/p/85cd9b69
Eissler Manfred. "Probability that an infection like Covid-19 stops without reaching herd immunity, calculated with a stochastic agent-based model." Scitok, uploaded by Eissler Manfred, 25 Oct, 2021, https://scitok.com/project/p85cd9b69
Manfred Eissler. "Probability that an infection like Covid-19 stops without reaching herd immunity, calculated with a stochastic agent-based model." Scitok. (Oct 25, 2021). https://scitok.com/project/p/85cd9b69
Manfred Eissler (Oct 25, 2021). Probability that an infection like Covid-19 stops without reaching herd immunity, calculated with a stochastic agent-based model. Scitok. https://scitok.com/project/p/85cd9b69
Manfred Eissler. Probability that an infection like Covid-19 stops without reaching herd immunity, calculated with a stochastic agent-based model.[video]. 2021 Oct 25. https://scitok.com/project/p/85cd9b69
@online{al2006link, title={ Probability that an infection like Covid-19 stops without reaching herd immunity, calculated with a stochastic agent-based model. }, author={ Eissler, Manfred }, organization={Scitok}, month={ Oct }, day={ 25 }, year={ 2021 }, url = {https://scitok.com/project/p/85cd9b69}, }