This model is comparing healthy and sick residents in Burnie, Tasmania after the Covid-19 Outbreak in 2020. It will also show how the Burnie economy is effected by the disease, how the Government Health Policies are implemented and how they are enforced.
This model is based on the SIR, Susceptible, Infection, Recovery (or
Removed) These are the three possible states related to the members of
the Burnie population when a contagious decease spreads.
The Government/Government Health Policy, played a big part in the successful decrease in Covid-19 infections. The Government enforced the following.
- No travel (interstate or international)
- Isolation within the residents homes
- Social distancing by 1.5m
- Quarantine
- Non essential companies to be temporarily closed
- Limitations on public gatherings
- And limits on time and kilometers aloud to travel from ones home within a local community
This resulted in lower reported infection rates of Covid-19 and higher recovery rates.
In my opinion: When the first case was reported the Government could have been even faster to enforce these rules to decrease the fatality rates further for the Burnie, population.
Assumption: Government policies were only triggered when 10 cases were recorded.
Also, more cases that had been recorded effected the economic growth during this time.
Interesting Findings: In the simulation it shows as the death rates increases towards the end of the week, the rate of testing goes down. You would think that the government would have enforced a higher testing rate over the duration of this time to decrease the number of infections, exposed which would increase the recovery rates faster and more efficiently.
Figures have been determined by the population of Burnie being 19,380 at the time of assignment.
Complex Systems How Burnie Tasmania dealt with Covid-19 Outbreak BMA708
Modelo epidemiológico simples
SIR: Susceptíveis - Infectados - Recuperados
Dados iniciais do Brasil em 04 Abr 2020
Fonte:
https://www.worldometers.info/coronavirus/country/brazil/
Clone of Modelo SIR simples - Covid 19
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)
The System Dynamic Model represents the Covid19 cases in Brgy. Sicsican, Puerto Princesa City as of May 27,2022.
Total population of Brgy. Sicsican - 22625
Total Covid19 cases as of May 27, 2022 - 250
Local transmission - 241
Imported transmission - 9
Recovery - 226
Death Due to Covid19 - 15
Ph_Covid19SDM_EvelynBacalla
Ausbreitung von SARS-CoV-19 in verschiedenen Ländern
- bitte passen Sie die Variablen über die Schieberegler weiter unten entsprechend an
Italien
ältere Bevölkerung (>65): 0,228
Faktor der geschätzten unentdeckten Fälle: 4-11
Ausgangsgröße der Bevölkerung: 60 000 000
hoher Blutdruck: 0,32 (gbe-bund)
Herzkrankheit: 0,04 (statista)
kostenlose Intensivstationen: 3 100
Deutschland
ältere Bevölkerung (>65): 0,195 (bpb)
geschätzte unentdeckte Fälle Faktor: 2-3 (deutschlandfunk)
Ausgangsgröße der Bevölkerung: 83 000 000
hoher Blutdruck: 0,26 (gbe-bund)
Herzkrankheit: 0,2-0,28 (Herzstiftung)
kostenlose Intensivstationen: 5 880
Frankreich
ältere Bevölkerung (>65): 0,183 (statista)
Faktor der geschätzten unentdeckten Fälle: 3-5
Ausgangsgröße der Bevölkerung: 67 000 000
Bluthochdruck: 0,3 (fondation-recherche-cardio-vasculaire)
Herzkrankheit: 0,1-0,2 (oecd)
kostenlose Intensivstationen: 3 000
Je nach Bedarf:
Anzahl der Begegnungen/Tag: 1 = Quarantäne, 2-3 = soziale Distanzierung , 4-6 = erschwertes soziales Leben, 7-9 = überhaupt keine Einschränkungen // Vorgabe 2
Praktizierte Präventivmassnahmen (d.h. sich regelmässig die Hände waschen, das Gesicht nicht berühren usw.): 0.1 (niemand tut etwas) - 1 (sehr gründlich) // Vorgabe 0.8
Aufklärung durch die Regierung: 0,1 (sehr schlecht) - 1 (sehr transparent und aufklärend) // Vorgabe 0,9
Immunitätsrate (aufgrund fehlender Daten): 0 (man kann nicht immun werden) - 1 (wenn man es einmal hatte, wird man es nie wieder bekommen) // Vorgabe 0,4
Schlüssel
Anfällige: Menschen sind nicht mit SARS-CoV-19 infiziert, könnten aber infiziert werden
Infizierte: Menschen sind infiziert worden und haben die Krankheit COVID-19
Geheilte: Die Menschen haben sich gerade von COVID-19 erholt und können es in diesem Stadium nicht mehr bekommen
Tote: Menschen starben wegen COVID-19
Immunisierte: Menschen wurden immun und können die Krankheit nicht mehr bekommen
Kritischer Prozentsatz der Wiederherstellung: Überlebenschance ohne spezielle medizinische Behandlung
Clone of SARS-CoV-19 Modell von Lucia Vega Resto
Modelo epidemiológico simples
SIR: Susceptíveis - Infectados - Recuperados
Clique aqui para ver um vídeo com a apresentação sobre a construção e uso deste modelo. É recomendável ver o vídeo num computador de mesa para se poder ver os detalhes do modelo.
Dados iniciais de infectados, recuperados e óbitos para diversos países (incluindo o Brasil) podem ser obtidos aqui neste site.
Clone of Modelo SIR simples - Covid 19
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
Clone of COVID-19: description des types de population
Modelo epidemiológico simples
SIR: Susceptíveis - Infectados - Recuperados
Clique aqui para ver um vídeo com a apresentação sobre a construção e uso deste modelo. É recomendável ver o vídeo num computador de mesa para se poder ver os detalhes do modelo.
Dados diários sobre infectados, recuperados e óbitos para diversos países (incluindo o Brasil) podem ser obtidos aqui neste site.
Dados diários para o município de Juiz de Fora podem ser obtidos no site da Prefeitura.
Juiz de Fora - Covid-19
Modelling the demand for health and care resources resulting from the Covid-19 outbreak using an SEIR model.
Clone of Infectious Disease Model (Version 3.0)
Modelling the demand for health and care resources resulting from the Covid-19 outbreak using an SEIR model.
Clone of Infectious Disease Model (Version 3.0)
Modelling the demand for health and care resources resulting from the Covid-19 outbreak using an SEIR model.
nfectious Disease Model 5yr (Version2.0)
This model shows the COVID-19 outbreaks in Burnie and the Government intervention to alleviate the crisis and also how is the intervention affect the economy.
It is assumed that the Government intervention is triggered when the COVID-19 case is equal to or more than 10.
Government intervention - lock down the state, suppress the development of COVID-19 effectively. It is related to most of people stay at home to reduce the exposure in public area.
On the other hand, it also bring the economy of Burnie in the recession, as no tourists, no dining out activities and decrease in money spending in the city.
Clone of Burnie COVID-19 outbreaks and economic impacts_Pui Chu Daisy Cheung 524767
Tugas Permodelan Transportasi Laut
Clone of Clone of Tugas Permo_Corona
Economic
collapse, not just recession, is now very likely. To give just one possible cause,
in the U.S. the fracking industry is in deep trouble. It is not only that most
fracking companies have never achieved a free cash flow (made a profit)
since the fracking boom started in 2008, but that an already very weak and unprofitable oil industry cannot cope with
extremely low oil prices. The result will be the imminent collapse of the
industry. However, when the fracking industry collapses in the US, so will the American
economy – and by extension, probably, the rest of the world economy. To grasp a
second and far more serious threat it is vital to understand the phenomenon of ‘Global
Dimming’. Industrial activity not only produces greenhouse gases, but
emits also sulphur dioxide which converts to reflective sulphate aerosols in the
atmosphere. Sulphate aerosols act like little mirrors that reflect sunlight
back into space, cooling the atmosphere. But when economic activity stops, these
aerosols (unlike carbon dioxide) drop out of the atmosphere, adding perhaps as
much as 1° C to global average temperatures. This can happen in a very short period
time, and when it does mankind will be bereft of any means to mitigate the
furious onslaught of an out-of-control and merciless climate. The data and the unrelenting
dynamic of the viral pandemic paint bleak picture. As events unfold in the next few months, we may discover that it is too late to act, that our reign on this planet has, indeed, come to an abrupt end?
Clone of Covid 19 - irreversible and catastrophic consequences
Clone of SARS-CoV-19 model
Collapse of the economy, not just recession, is now very likely. To give just one possible cause,
in the U.S. the fracking industry is in deep trouble. It is not only that most
fracking companies have never achieved a free cash flow (made a profit)
since the fracking boom started in 2008, but that an already very weak and unprofitable oil industry cannot cope with
extremely low oil prices. The result will be the imminent collapse of the
industry. However, when the fracking industry collapses in the US, so will the American
economy – and by extension, probably, the rest of the world economy. To grasp a
second and far more serious threat it is vital to understand the phenomenon of ‘Global
Dimming’. Industrial activity not only produces greenhouse gases, but
emits also sulphur dioxide which converts to reflective sulphate aerosols in the
atmosphere. Sulphate aerosols act like little mirrors that reflect sunlight
back into space, cooling the atmosphere. But when economic activity stops, these
aerosols (unlike carbon dioxide) drop out of the atmosphere, adding perhaps as
much as 1° C to global average temperatures. This can happen in a very short period
time, and when it does mankind will be bereft of any means to mitigate the
furious onslaught of an out-of-control and merciless climate. The data and the unrelenting
dynamic of the viral pandemic paint bleak picture. As events unfold in the next few months, we may discover that it is too late to act, that our reign on this planet has, indeed, come to an abrupt end?
Clone of Covid 19 - irreversible and catastrophic consequences
Modelling the demand for health and care resources resulting from the Covid-19 outbreak using an SEIR model.
Clone of Infectious Disease Model (Version 3.0)
This model shows the COVID-19 outbreaks in Burnie and the Government intervention to alleviate the crisis and also how is the intervention affect the economy.
It is assumed that the Government intervention is triggered when the COVID-19 case is equal to or more than 10.
Government intervention - lock down the state, suppress the development of COVID-19 effectively. It is related to most of people stay at home to reduce the exposure in public area.
On the other hand, it also bring the economy of Burnie in the recession, as no tourists, no dining out activities and decrease in money spending in the city.
Clone of Burnie COVID-19 outbreaks and economic impacts_Pui Chu Daisy Cheung 524767
Modelling the demand for health and care resources resulting from the Covid-19 outbreak using an SEIR model.
Clone of Infectious Disease Model (Version 4.0)
Modelling the demand for health and care resources resulting from the Covid-19 outbreak using an SEIR model.
Clone of Clone of Infectious Disease Model (Version 4.0)
The System Dynamics Model presents the the COVID-19 status in Puerto Princesa City
Clone of Ph_Covid19SDM_AngelKateCacayan