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Covid19 in Canada
2 months ago
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Curso de Dinâmica de Sistemas com Insight Maker
Modelo Epidemiológico
Prof. Dr. Paulo Villela

Este modelo está baseado no paper Crokidakis, Nuno. (2020). Data analysis and modeling of the evolution of COVID-19 in Brazil. Para mais detalhes veja o paper completo aqui.
Curso DS: Modelo Epidemiologico
12 last month
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Systemigram for Soft Systems Methodology (SSM) applied to investigating the complexities of the COVID-19 crisis.
SSM for COVID-19
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Covid-19 in Belarus
3 months ago
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The Binary Adder:

Andy Long
Spring, 2020 - Year of Covid-19​

Having constructed a working example of a finite state machine (FSM), from Gersting's 7th edition (p. 730, Example 29), I decided to create a more useful one -- a binary adder (p. 732). It works!

Subject to these rules:
  1. Your two binary numbers should start off the same length -- pad with zeros if necessary. Call this length L.
  2. Now pad your two binary numbers with three extra 0s at the end; this lets the binary-to-decimal conversion execute.
  3. numbers are entered from ones place (left to right).
  4. In Settings, choose "simulation start" as 1, your "simulation length" as L+2 -- two more than the length of your initial input number vectors. (I wish that the Settings issues could be set without having to explicitly change it each time -- maybe it can, but I don't know how.)
Be attentive to order -- start with 1s place, 2s place, 4s, place, etc., and your output answer will be read in the same order.

To understand why we need three additional inputs of 0s:
  1. For the useless first piece of output -- so n -> n+1
  2. For the possibility of adding two binary numbers and ending up with an additional place we need to force out: 111 + 111 = 0 1 1 1
  3. For the delay in computing the decimal number: it reads the preceding output to compute the decimal value.
Mat385 Finite State Machine (Binary Adder)
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Description

Model of Covid-19 outbreak in Burnie, Tasmania

This model was designed from the SIR model(susceptible, infected, recovered) to determine the effect of the covid-19 outbreak on economic outcomes via government policy.

Assumptions

The government policy is triggered when the number of infected is more than ten.

The government policies will take a negative effect on Covid-19 outbreaks and the financial system.

Parameters

We set some fixed and adjusted variables.

Covid-19 outbreak's parameter

Fixed parameters: Infection rate, Background disease, recovery rate.

Adjusted parameter: Immunity loss rate can be changed from vaccination rate.

Government policy's parameters

Adjusted parameters: Testing rate(from 0.15 to 0.95), vaccination rate(from 0.3 to 1), travel ban(from 0 to 0.9), social distancing(from 0.1 to 0.8), Quarantine(from 0.1 to 0.9)

Economic's parameters

Fixed parameter: Tourism

Adjusted parameter: Economic growth rate(from 0.3 to 0.5)

Interesting insight

An increased vaccination rate and testing rate will decrease the number of infected cases and have a little more negative effect on the economic system. However, the financial system still needs a long time to recover in both cases.

Untitled Insight
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This is a mitigated model showing the potential spread of COVID-19 across the healthcare system.

COVID phased community model DEMO V1.1 (D&C)
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Өзіндік жұмыс 1 германия Covid-19 2022ж
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Here we have a basic SEIR model and we will investigate what changes would be appropriate for modelling the 2019 Coronavirus.

The initial parametrization is based on the suggested current data. The initial population is set for Catalonia.

Clone of SEIRD 01: COVID-19 spread
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COVID-19 DISEASE SPREAD SIMULATION OF SWEDEN
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COVID-19 Vaccination of indigenous West Australians
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COVID-19 Crisis Management
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Here we have a basic SEIR model and we will investigate what changes would be appropriate for modelling the 2019 Coronavirus.

The initial parametrization is based on the suggested current data. The initial population is set for Catalonia.

Clone of SEIRD 01: COVID-19 spread
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2 өзіндік жұмыс
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Самостоятельная работа. Динамика заболеваний.Covid-19 в Польше.
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Agent based Modeling Simulation for Pandemic COVID-19 Disease
Агентская модель
10 months ago
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Here we have a basic SEIR model and we will investigate what changes would be appropriate for modelling the 2019 Coronavirus.

The initial parametrization is based on the suggested current data. The initial population is set for Catalonia.

Самостоятельная работа COVID-19
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Pada Model ini Terdiri dari 4 faktor dimana model dirancang untuk memenuhui Tugas Akhir Pemodelan dan Simulasi.
Model ini dirancang untuk mensimulasikan kasusus penyebaran covid 19 di indonesia periode 12 Maret - 23 Juli 2020. 
Dalam penrancang model ini dapat dikerjakan berkelompok yang terdiri dari 
Arinus Wantik  dan Andrew Chivas Arsenal Rico.


Model SEIR Penyebaran Covid Di indonesia
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Activity 2 (COVID-19)