Without mortality, with time measured in days, with infection rate 1/2, recovery rate 1/3, and initial infectious population I_0=1.27x10-4, we reproduce their figure
With a death rate of .005 (one two-hundredth of the infected per day), an infectivity rate of 0.5, and a recovery rate of .145 or so (takes about a week to recover), we get some pretty significant losses -- about 3.2% of the total population.
This stock-flow simulation model is to show Covid-19 virus spread rate, sources of spreading and safety measures followed by all the countries affected around the world.
The simulation also aims at predicting for how much more period of time the virus will persist, how many people could recover at what kind of rate and also about the virus toughness dependence based on its excessive speed, giving rise to bigger numbers day-by-day.
Dieses Causal
Loop Diagramm (CLD) versucht in vereinfachter Weisse die Wesentliche Dynamik des
Mars-CoV-2 zu veranschaulichen. Der Motor hinter den Infektionen ist offensichtlich
eine selbstverstärkende Rückkopplungsschleife, und ausschlaggebend in diesem
Bezug ist der R-Wert. Wenn der R-Wert unter 1 liegt, dann heisst das, dass eine
infizierte Person während des Zeitraums, in dem sie infektiös ist, weniger als
eine andere Person infiziert. Liegt der
Wert über 1, dann steckt die Infizierte mehr als eine andere Person an, und das
Virus verbreitet sich exponentiell. Die Schleifen, die blaue Pfeile enthalten, sind negative Rückkopplungsschleifen – sie bremsen die Verbreitung des Virus. Das
Diagramm suggeriert, dass der R-Wert als Schlüssel zur Kontrolle der Verbreitung
des Virus dienen könnte. Sollte der Wert über 1 steigen, so müssten Schutzmassnahem eingeführt werden. Ist der
Wert unter 1, dann sind die negativen Schleifen dominierend und einige Massnahmen könnten gelockert werden.
Variant of the model "COVID-19 spread" made by Anxo-Lois Pereira and Miquel Martínez de Morentin, including reinfection, permanent immunity and Vaccines. Made for the subject of TAED.
COVID-19 spread with reinfeccion, permanent immunity and vaccines
Here we have a basic model and we will investigate what changes would be appropriate for modelling the 2019 Coronavirus.
We add simple containment meassures that affect different paramenters.
The initial parametrization is based on the suggested current data. The initial population is set for Hong Kong.
The questions that we want to answer in this kind of models are not the shape of the curves, that are almost known from the beginning, but, when this happens, and the amplitude of the shapes. This is crucial, since in the current circumstance implies the collapse of certain resources, not only healthcare.
Pada Tugas mata kuliah Metode Penyelesaian Masalah dan Pemodelan , ditugaskan untuk membuat pemodelan penyebaran COVID-19 di negara yang dipilih, dan pada simulasi ini merupakan negara Indonesia
Dosen Pengampu :
Simulasi Pemodelan Penyebaran COVID-19 di Indonesia di Indonesia Dari Data Vaksinasi
Here we have a basic SEIR model and we will investigate what changes would be appropriate for modelling the 2019 Coronavirus.
We add simple containment meassures that affect two paramenters, the Susceptible population and the rate to become infected.
The initial parametrization is based on the suggested current data. The initial population is set for Catalonia.
The questions that we want to answer in this kind of models are not the shape of the curves, that are almost known from the beginning, but, when this happens, and the amplitude of the shapes. This is crucial, since in the current circumstance implies the collapse of certain resources, not only healthcare.
The validation process hence becomes critical, and allows to estimate the different parameters of the model from the data we obtain. This simulation approach allows to obtain somethings that is crucial to make decisions, the causality. We can infer this from the assumptions that are implicit on the model, and from it we can make decisions to improve the system behavior.
Yes, simulation works with causality and Flows diagrams is one of the techniques we have to draw it graphically, but is not the only one. On https://sdlps.com/projects/documentation/1009 you can review soon the same model but represented in Specification and Description Language.
Clone of COVID-19 spread with containment measures
