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Modelling the demand for health and care resources resulting from the Covid-19 outbreak using an SEIR model.

Infectious Disease Model (Version 3.0)

David Plummer

24

ABM COVID-19

Amina Kaliyeva

The model here shows the COVID-19 outbreaks in Burnie Tasmania, which has impacted in the local economy. the relationship between COVID-19 and economic situation has been shown in the graph. Based on the susceptible and exposed rate, the period of spreading can be controlled by lockdown policy.

Susceptible can be exposed by go out. resident has a possibility to infect and be infected by others. The infection rate, new cases, immunity rate as well as doing exercise can effect the recovery rate. The economy situation is proportionate to the recovery rate. If there are more recovery rate from the pandemic, the economy situation will recover as well.

BMA 708--Assignment 3

Yifei MAO

SEIR model with deaths from disease. We are working on the speficication of this model for it to represent the global development of the COVID-19 pandemic. This project is ongoing under the responsibility of PPGEA Pandemics Task Force Team, from Universidade Federal de Viçosa - UFV.

More details to be added.

SEIR model with deaths from disease

Luis Schmidt

3бөлім өзіндік

Gauhar Mukhameddamin

системное моделирование

Абдулазизова Чарос

Das SEIRS(D)-Modell zum Simulieren der COVID-19 - Epidemie.

SEIR - COVID-19 (v.1) von Remigiusz Kinas

Antonius Warmeling

Model description:

This model is designed to simulate the outbreak of Covid-19 in Burnie in Tasmania, death cases, the governmental responses and Burnie local economy.

More importantly, the impact of governmental responses to both Covid-19 infection and to local economy, the impact of death cases to local economy are illustrated.

The model is based on SIR (Susceptible, Infected and recovered) model.

Variables:

The simulation takes into account the following variables:

Variables related to Covid-19: (1): Infection rate. (2): Recovery rate. (3): Death rate. (4): Immunity loss rate.

Variables related to Governmental policies: (1): Vaccination mandate. (2): Travel restriction to Burnie. (3): Economic support. (4): Gathering restriction.

Variables related to economic growth: Economic growth rate.

Adjustable variables are listed in the part below, together with the adjusting range.

Assumptions:

(1): Governmental policies are aimed to control(reduce) Covid-19 infections and affect (both reduce and increase) economic growth accordingly.

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

(3) The increasing cases will negatively influence Burnie economic growth.

Enlightening insights:

(1) Vaccination mandate, when changing from 80% to 100%, doesn't seem to affect the number of death cases.

(2) Governmental policies are effectively control the growing death cases and limit it to 195.

Burnie Tasmania Covid - 19 outbreak simulation Model by Yankang Huang 541 277

Yankang Huang

Model di samping adalah model SEIR yang telah dimodifikasi sehingga dapat digunakan untuk menyimulasikan perkembangan penyebaran COVID-19.

SEIR Model for COVID-19 in Indonesia (Revised V2)

Firly Feisal

The System Dynamics Model presents the the COVID-19 status in Puerto Princesa City

Ауру Динамикасы COVID-19

Нұрхан.

Perkembangan Kasus PMK (Penyakit Mulut dan Kuku) pada Hewan Ternak di Pulau Lombok, Nusa Tenggara Barat

SEPTIAN EKA RAHMADI

Simulating virus infecting a body after entering, replicating inside living cells, and the body's immune response towards the virus

VirusModel

Hazwan Hafiz

Modelo SEIR in Covid-19

Amanda Rivera

Covid-19

Abdulrahman Alkarefi

Model based on several references:
1. https://insightmaker.com/insight/4iVOp2JcrDSTBvqjER7pxM/TA-Pemsim-SEIR-Covid-19-Model
2. https://insightmaker.com/insight/5GiU0WZLpKCLGOoe6xeIhT/SEIR-COVID-19-New-Kl-1
3. https://insightmaker.com/insight/DaOeZ0N9RcgU1Q87ofIj8/COVID-19-SEIR-Model-for-Indonesia

Locus set on Indonesia, during 2021

SEIR Model for COVID-19 in Indonesia

Nixford Junior Inc.

A sample model for class discussion modeling COVID-19 outbreaks and responses from government with the effect on the local economy. Govt policy is dependent on reported COVID-19 cases, which in turn depend on testing rates less those who recover

Assumptions

Govt policy reduces infection and economic growth in the same way.

Govt policy is trigger when reported COVID-19 case are 10 or less.

A greater number of COVID-19 cases has a negative effect on the economy. This is due to economic signalling that all is not well.

Interesting insights

Higher testing rates seem to trigger more rapid government intervention, which reduces infectious cases. The impact on the economy though of higher detected cases though is negative.

Clone of Burnie COVID-19 outbreak demo model version 2

ching tung li

This basic pandemic model explores the dynamics and healthcare burden associated with of a novel infection.

Pandemic: Exploring the Dynamics of a Novel Infection

Martin Davies

14

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