Insight diagram

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
Insight diagram
TINGO MARÍA Y LA PANDEMIA COVID-19
Insight diagram
This basic pandemic model explores the dynamics and healthcare burden associated with of a novel infection.
Pandemic: Exploring the Dynamics of a Novel Infection
Insight diagram

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 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.

COVID-19 spread without containment measures
Insight diagram
өзіңдік жұмыс
Insight diagram

Model description:

This model is designed to simulate the outbreak of Covid-19 in Burnie in Tasmania. It also tell us the impact of economic policies on outbreak models and economic growth.

 

Variables:

The simulation takes into account the following variables and its adjusting range: 

 

On the left of the model, the variables are: infection rate( from 0 to 0.25), recovery rate( from 0 to 1), death rate( from 0 to 1), immunity loss rate( from 0 to 1), test rate ( from 0 to 1), which are related to Covid-19.

 

In the middle of the model, the variables are: social distancing( from 0 to 0.018), lock down( from 0 to 0.015), quarantine( from 0 to 0.015), vaccination promotion( from 0 to 0.019), border restriction( from 0 to 0.03), which are related to governmental policies.

 

On the right of the model, the variables are: economic growth rate( from 0 to 0.3), which are related to economic growth.

 

Assumptions:

(1) The model is influenced by various variables and can produce different results. The following values based on the estimation, which differ from actual values in reality.

 

(2) Here are just five government policies that have had an impact on infection rates in epidemic models. On the other hand, these policies will also have an impact on economic growth, which may be positive or negative.

 

(3) Governmental policy will only be applied when reported cases are 10 or more. 

 

(4) This model lists two typical economic activities, namely e-commerce and physical stores. Government policies affect these two types of economic activity separately. They together with economic growth rate have an impact on economic growth.

 

Enlightening insights:

(1) In the first two weeks, the number of susceptible people will be significantly reduced due to the high infection rate, and low recovery rate as well as government policies. The number of susceptible people fall slightly two weeks later. Almost all declines have a fluctuating downward trend.

 

(2) Government policies have clearly controlled the number of deaths, suspected cases and COVID-19 cases.

 

(3) The government's restrictive policies had a negative impact on economic growth, but e-commerce economy, physical stores and economic growth rate all played a positive role in economic growth, which enabled the economy to stay in a relatively stable state during the epidemic.

Model of COVID-19 Outbreak in Burnie, Tasmania
Insight diagram
Exemple de modélisation
https://youtu.be/Kas0tIxDvrg
Les chiffres 
https://www.worldometers.info/coronavirus/coronavirus-symptoms/
Modélisation Covid-19 aka Coronavirus
Insight diagram
​Tugas 3 Pemodelan Transportasi Laut 
 
STUDI KASUS : Simulasi Penyebaran Virus Corona atau COVID-19 di Indonesia dengan aplikasi Insight Maker
TUGAS 3_IGedeBagusIndraDanendra_04411740000036_Pemodelan Transportasi Laut
Insight diagram
COVID-19 Model
Insight diagram
This model demonstrates the impacts of reduced air traffic in Austria due to the new coronavirus on Austrian overall emissions.
Covid-19 impact on emissions (air transport) in Austria
Insight diagram
A simple Susceptible - Infected - Aids Patient disease model.
Самостотельная работа Короновирус в Казакстане
Insight diagram
COVID-19 в Германии
Insight diagram
This is a mitigated model showing the potential spread of COVID-19 across the healthcare system.

COVID phased community model DEMO V1.1 Eastern
Insight diagram
The Infection / Recovery & Immune / Rate of a Global a Population of 8.2 Billion People.
The Pandemic Management of COVID-19 - Richard A. Estefan
Insight diagram
COVID-19 model with hospitalizations and deaths
Insight diagram

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
Insight diagram

Here we have a basic SEIR model and we will investigate what changes would be appropriate for modelling the 2019 Coronavirus 

Clone of MscT CSE - SEIR Infectious Disease Model for COVID-19
4 months ago
Insight diagram
Cameroon COVID-19
Insight diagram
Ковид Африка
Insight diagram
SD 2 COVID-19 Policy
Insight diagram

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 Clone of SEIRD 01: COVID-19 spread
Insight diagram
COVID-19 in USA (ag.m) - 2021
Insight diagram

Here we have a basic SEIR model and we will investigate what changes would be appropriate for modelling the 2019 Coronavirus 

Clone of ECM-Training - SEIR Infectious Disease Model for COVID-19
4 months ago