Flattening The Curve - Simulating The Effect of Quarantine & Social Distancing

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  • Опубліковано 13 січ 2025

КОМЕНТАРІ • 29

  • @tizianotorresan8869
    @tizianotorresan8869 4 роки тому +6

    Thank you so much for this clear visual understanding of what this deadly virus is all about!

  • @Jogjavanesia
    @Jogjavanesia 4 роки тому +4

    Very useful video. Thank you very much. Succes for you.

  • @andreimiron4135
    @andreimiron4135 4 роки тому +1

    Please allow others to add subtitle. It will be very nice to be able to add translations in every language and spread it to people who don't know English.

  • @sveffer
    @sveffer 4 роки тому +2

    Everyone recovered!

  • @jishanshaikh8961
    @jishanshaikh8961 4 роки тому +2

    Great Explanation!!!!!♥️♥️♥️sir!!♥️♥️♥️

  • @rajanmoses
    @rajanmoses 3 роки тому

    Very nice 👍

  • @elwind762
    @elwind762 4 роки тому

    In case 1 the virus gets eradicated quickly, in case 4 it’s prolonged and not eradicated and a case 1 can happen once quarantine is broken. It’s a longer quarantine the bigger the population right

    • @kittenmimi5326
      @kittenmimi5326 4 роки тому

      Welll this graph is a little on the simpler side. Who knows how many of those sick people will die, and the cured ones re-infected

  • @elijahbruner3676
    @elijahbruner3676 4 роки тому +1

    how do they suddenly recover

    • @OperationalExcellence
      @OperationalExcellence  4 роки тому

      They recover after a certain time, say 2 weeks. Ideally a portion of them die, but this is not captured in the model

  • @mohbada1134
    @mohbada1134 4 роки тому +1

    Please name the simulation program

  • @mohamedel-kaddoury3442
    @mohamedel-kaddoury3442 4 роки тому

    good job, can you share the source code please?

  • @hoizhocka
    @hoizhocka 4 роки тому

    can you simulate the dots to be more social? so they interact directly, it seems like they float around and just meet accidentally. then we could see the differences in those interactions with for example 5% of people not sticking to the rules of how to "interact" or don't interact compared to let's say 10%, 12%
    maybe the floating around thing in relation to the size of the room does the same thing but for a visual simulation i think it would be more accurate.

    • @OperationalExcellence
      @OperationalExcellence  4 роки тому

      This was done by Harry Stevens. www.washingtonpost.com/graphics/2020/world/corona-simulator/ He used his geometric.js github.com/HarryStevens/geometric

  • @spoogerification
    @spoogerification 4 роки тому

    if we did a free for all wed be done with it by now.

  • @martawieszczycka2364
    @martawieszczycka2364 4 роки тому

    Where are DEATH people?

  • @gbangerlove
    @gbangerlove 4 роки тому

    So everyone gets sick anyway? And why are people that are sick still out with others? This graph is very flawed

    • @ericstenberg9795
      @ericstenberg9795 4 роки тому

      Because it's a simulation of theories and the methods applied by goverments for flattening the curve of infected.

    • @OperationalExcellence
      @OperationalExcellence  4 роки тому +2

      Not everyone gets sick in Case 3 and 4. Its a simplistic model intended to illustrate the effect of social distancing.

    • @hadytobe7126
      @hadytobe7126 4 роки тому

      Awesome vidéo very intéressting. So the goal is to target and reach case 4 i believe for all

  • @dmitryzakrochinsky8251
    @dmitryzakrochinsky8251 4 роки тому +3

    When recovered person contacts sick it must be sick again lol. Poor maths.

    • @OperationalExcellence
      @OperationalExcellence  4 роки тому +2

      Дмитрий Закрочинский not necessarily. A few might get sick again, not all, due to immunity buildup. This can be modelled using reinfection rate

    • @knobhack
      @knobhack 4 роки тому +2

      Poor argument

    • @cubernetes
      @cubernetes 4 роки тому +2

      I see, you weren't very attentive in biology class

  • @keithtaylor8300
    @keithtaylor8300 4 роки тому

    This isn't accurate in the slightest. This assumes a 100% chance of infection on contact; which includes susceptibility factors. It also assumes infected people would be "out and about" with a 100% recovery rate. Videos like this add to the hysteria and fools people into a sense of being informed.