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Group_3_7BUIS021W_MODELS-Impact of COVID-19 on civil aviation_CausalLoop

Dharani Goli

This Agent-Based Model shows the outbreak of Covid-19 in the country which is the Philippines.

Ph_Covid19ABM_Coronacion,Rosita Karla

Rosita Karla Coronacion

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

Covid-19: SEIR Model for COVID-19 in Indonesia

Rio Swarawan Putra

Spring 2023

COVID-19 Crisis by Rashid

Md Mamunur Rashid

Агентное моделирование COVID-19 в Китае

Алихан Болатаев

5 months ago

Part 2 Systems Dynamics- COVID-19

Morgan Kull

8

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 parameter: Background disease.

Adjusted parameters: Infection rate, recovery rate. 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.

BMA708_Assignment 3_Nguyen Dang Khoa Vo_520272_COVID-19 outbreak and Burnie economy

NGUYEN DANG KHOA VO

The Covid-19 pandemic has introduced a variety of novel and intense difficulties, from dealing with the production network for individual defensive gear (PPE) to changing labor force ability to adapting to monetary misfortune. Amidst these difficulties lies a chance for medical services pioneers to more readily position and change their associations for an eventual fate of unusual amazement. To oversee limit, monetary misfortune, and care overhaul, medical services associations have settled on the basic choice to deliver or lessen labor force or to move numerous representatives to far off work, incorporating clinicians working with telehealth advances. (www.catalyst.nejm.org)

Reference:

Begun, J.W. PhD, Jiang, J.H, PhD,. (2020, October 9). NEJM Catalyst/Innovations in Care Delivery. Health Care Management During Covid-19: Insights from Complexity Science. Retrieved from https://catalyst.nejm.org/doi/full/10.1056/CAT.20.0505

Covid-19 Health Care Complexities and Variables

Taleisha Y. Alcorn

A Model for COVID-19 outbreak

AT3

ching tung li

Өздік жұмыс 2-бөлім

Adasan

Modelling of the SARS-Cov-2 viral outbreak using an SEIR model plus specific extensions to model demand for health and care resources.

The model includes biths and deaths, and migration to accommodate import and export of infected individuals from other areas.

Healthcare resources identifies need for hospital beds and critical care.

The model is uses arrays to reflect the different impacts of modelled parameters by age and sex.

Infectious Disease Model (Covid)

David Plummer

7

Covid-19 Modell

Andrea Peter

PROYECTO COVID-19

Jesús Fernández

COVID-19 1 - ө. ж.

Арайлым Есләмбек

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

Arnau Turch

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

Dànae Canillas

Atakan Han 150501024

After the Covid-19 Outbreak Model

Atakan

COVID-19 in Jakarta

Rizky Alif Ramadhan

COVID-19

Martina Vallarta de la Peña

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

ECM-Training - SEIR Infectious Disease Model for COVID-19

JFade

8

2 өзіндік жұмыс

Әшірбек Ақжан

COVID -19 ABM MODEL

Aaditya

This is the third in a series of models that explore the dynamics of infectious diseases. This model looks at the impact of two types of suppression policies.

Press the simulate button to run the model with no policy. Then explore what happens when you set up a lockdown and quarantining policy by changing the settings below. First explore changing the start date with a policy duration of 60 days.

SIRD Epidemic Model with Suppression Policies

Bob Hawkins

7

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

COVID phased community model DEMO V1.1 Eastern

David Spencer

4