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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

Andrew E Long

62

Modélisation Covid-19

Nicole

Pemodelan Epidemiologi COVID-19

Muhammad Yusril Hadi

3 months ago

An Agent Based Model of Covid-19. Disease Dynamics of Agent Based Model, aims to present the Covid-19 status

Ph_Covid19ABM_Shanea Betorin

Shanea Betorin

Assignment 3 Norway Covid-19

C. T

Check how different times of recovery and deths in cases of covid-19 infulence 2 key mortality indicators:

Overall mortalityr ate (ratio of all deaths to all cases)

Resolved cases mortality rate (ratio of all deaths to recovered cases)

Assumed delays are:

5 weeks for recovery cases

2 weeks for death cases

Delays are built into conveyor stocks, so cannot be adjusted by slider

keep in mind Insigth uses similar but made-up numbers and linear flow of new cases (in opposition to exponential in real world)

Understanding Covid-19 mortality

Cezary Zając

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

COVID-19

Shalah Thomas

Өзіндік жұмыс Аида 1

aida berikova

Pemodelan Epidemiologi COVID-19

Alfin Baso

3 months ago

SIRD COVID-19 Хубэй

Amina Kaliyeva

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

Ауру Динамикасы COVID-19

Нұрхан.

11 months ago

School project for data modell of the COVID-19 Virus

Corona - DE

Jan Moritz Meyer

11

Recent COVID-19 Outbreak in Burnie Tasmania

Buchi Okafor

Examen - Covid-19 3ra ola

Stalin Celis

Самостаятельная работа часть 1 Акилбеков Асет

Akilbekov Aset

11 months ago

Пневмония в США

Kamynina Julia

3

This stock-flow simulation model is to show Covid-19 virus spread rate, sources of spreading and safety measures followed by all the countries affected around the world.

The simulation also aims at predicting for how much more period of time the virus will persist, how many people could recover at what kind of rate and also about the virus toughness dependence based on its excessive speed, giving rise to bigger numbers day-by-day.

Week-12-Practice

Sai Nagavelli

10

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

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

COVID phased community model

David Spencer

24

Clone nyoba2 of SEIR COVID-19 New Kl. 1

Kelompok1

COVID-19 outbreak in Burnie Tasmania Simulation Model

Introduction

This model simulates how COVID-19 outbreak in Burnie and how the government responses influence the economic community. Government responses are based on the reported COVID-19 cases amount, whcih is considered to be based on testing rate times number of people who are infected minus those recovered from COVID-19 and dead.

Government interventions include the implement of healthy policy, border surveillance, quarantine and travel restriction. After outbreak, economic activities are positively affected by the ecommerce channel development and normal economic grwoth, while the unemployement rate unfortunately increases as well.

Assumption

Enforcing government policies reduce both infection and economica growth.
When there are 10 or greater COVID-19 cases reported, the governmwnt policies are triggered.
Greater COVID-19 cases have negatively influenced the economic activities.
Government policies restict people's activities socially and economically, leading to negative effects on economy.
Opportunities for jobs are cut down too, making umemployment rate increased.
During the outbreak period, ecommerce has increased accordingly because people are restricted from going out.

Interesting insights

An increase in vaccination rate will make difference on reduing the infection. People who get vaccinated are seen to have higher immunity index to fight with COVID-19. Further research is needed.

Testing rate is considered as critical issue to reflect the necessity of government intervention. Higher testing rate seems to boost immediate intervention. Reinforced policies can then reduce the spread of coronvirus but absoluately have negative impacts on economy too.

Mengling Xue 561743 BMA708_Marketing insights into Big Data

Mengling Xue

Covid-19 in USA

Марина Якимова

A simple feedback loop of the COVID-19 pandemic.

Clone of COVID-19 feedback loops

Daniel Dewey