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Model of Covid-19 Outbreak in Burnie, Tasmania

When reported COVID-19 cases begin to show a rapid increase, the government will initiate control policies to deal with the spread.As the number of people tested increases and measures such as isolation and medical assistance are implemented, the number of people infected will decline rapidly.Therefore, the government's policy is to reduce and eliminate sources of transmission by increasing the number of tests and initiating control measures.At the same time, it also shows the negative impact of economic growth, which according to the model will stop in the next 20 weeks.

Model of Covid-19 Outbreak in Burnie, Tasmania (Yimeng Yao 448253)

Yao Yimeng

2 өзіндік жұмыс

Әшірбек Ақжан

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

Introduction

This model simulates the COVID-19 outbreaks in Burnie, the government reactions, as well as the economic impact. The government's strategy is based on the number of COVID-19 cases reported and testing rates and recovered.

Assumptions

In the same trend that government policy decreases infection, it also reduces economic growth.

When there are ten or fewer COVID-19 cases reported, government policy is triggered.

The economy suffers as a result of an increase in COVID-19 cases.

Interesting insights

The higher testing rates appear to result in a more quick government response, resulting in fewer infectious cases. However, it has a negative influence on the economy.

Model of COVID-19 outbreak in Burnie Tasmania - Xiaoqing Ren 525418

Xiaoqing Ren

Covid-19 SEIRCID Model

Yudhistira Ramadhan

This model shows an SIR model of COVID-19 infection in the Philippines. The data used in this model are recent data from COVID-19 statistics reports this 2022. The format of this Philippine COVID-19 model is guided by an Infection Model developed by martin.

Ph_Covid19SDM_Lilang, Rebekah

Aikah Lilang

This is a complex model of COVID-19 outbreak in Burnie Tasmania. It show the effect of government policy to local economic and the impact of Covid-19.

Assumptions

Government policy can reduce the number of infected, however also would reduce the economic growth.

Interesting insights

Based on changing the value of government policy, it show that the policy can help to reduce on the number of death and infection.

Covid-19 Out break

Wing Ki Ng

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

I Gede Bagus Indra Danendra

COVID-19_Systemigram

William Dao

COVID-19 Model

Marcus Yates

Cameroon COVID-19

Kimberly Uzzo

Pada Tugas 3 mata kuliah Pemodelan Transportasi Laut, ditugaskan untuk membuat pemodelan penyebaran COVID-19 di negara yang dipilih, dan pada simulasi ini merupakan negara Indonesia

Dosen Pengampu : Dr.-Ing Ir Setyo Nugroho

Simulasi Pemodelan Penyebaran COVID-19 di Indonesia

Ghazi Zulava Alief

This Model described the outbreak simulation under government policy and impacts on Economics.

Assumptions

The social distance policy can reduce 80% of infection.

Interesting Insights

The story tell the difference when social distance applied or not

Click on View story to start simulations

BMA708 Task 3 Zijing Zeng 520737

Zijing Zeng

==edited by Prasiantoro Tusono and Rio Swarawan Putra==

Spring, 2020: in the midst of on-line courses, due to the pandemic of Covid-19.

With the onset of the Covid-19 coronavirus crisis, we focus on SIRD models, which might realistically model the course of the disease.

We start with an SIR model, such as that featured in the MAA model featured in

https://www.maa.org/press/periodicals/loci/joma/the-sir-model-for-spread-of-disease-the-differential-equation-model

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.

Resources:

http://www.nku.edu/~longa/classes/2020spring/mat375/mathematica/SIRModel-MAA.nb
https://www.maa.org/press/periodicals/loci/joma/the-sir-model-for-spread-of-disease-the-differential-equation-model

Coronavirus: A Simple SIR (Susceptible, Infected, Recovered) with death - based on Andrew E Long

prazi.antoro

covid-19

Jasurbek Abdalimov

This model estimates the deaths due to COVID19 in Bangalore City.

Assumptions:

City has a population = 80 Million

Initial infected population = 10

Probability of infection = 8%

Contact rate in population = 6

Average duration of recovery = 10 days

Death rate = 1%

Quarantine rate = 80%

Delay in quarantine = 5 days

COVID-19_SIR_MODEL

Abhijith N

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

LILI LIU

Covid-19 in Spain

Дамира Жанабай

Modelo Epidemiológico para os Casos de Covid-19

Insigh Authors:

Luis Felipe (UFSM)

Carlos Heitor (UFSM)

Paulo Vilella (UFJF)

Modelo UFSM - COVID-19

Luis Felipe Dias Lopes

Индия короновирус, 2021 жыл

Ersultan

A model of the relationship among covid-19 outbreak and government policy and economic impacts.

More susceptible people results in more infected people, and then more cases. A greater number of covid-19 cases triggers unemployment and financial crisis.

COVID-19 outbreak in Burnie Tasmania

ke chang

мансұр икт 4

Xalid_Ibn_ Ualid

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 analysis, people who usual go out are might have chance to meet susceptible people and have a high rate to be infected. The period of spreading can be controlled by keeping social distance and Government lockdown policy.

Susceptible can be exposed by go out. resident has a possibility to infect and be infected by others. people who might be die due to the lack of immunity. and others would recover and get the immune.

Beside, the economy situation is proportionate to the recovery rate. If there are more recovery rate from the pandemic, the employment rate will be increased and the economy situation will recover as well.

BMA708 Assignment 3

Yifei MAO