Clone of SARS-CoV-19 model
Gnana K Bharathy
SARS-CoV-19 spread in different countries- please adjust variables accordingly
Italy
Germany
France
As you wish
Key
Italy
- elderly population (>65): 0.228
- estimated undetected cases factor: 4-11
- starting population size: 60 000 000
- high blood pressure: 0.32 (gbe-bund)
- heart disease: 0.04 (statista)
- free intensive care units: 3 100
Germany
- elderly population (>65): 0.195 (bpb)
- estimated undetected cases factor: 2-3 (deutschlandfunk)
- starting population size: 83 000 000
- high blood pressure: 0.26 (gbe-bund)
- heart disease: 0.2-0.28 (herzstiftung)
- free intensive care units: 5 880
France
- elderly population (>65): 0.183 (statista)
- estimated undetected cases factor: 3-5
- starting population size: 67 000 000
- high blood pressure: 0.3 (fondation-recherche-cardio-vasculaire)
- heart disease: 0.1-0.2 (oecd)
- free intensive care units: 3 000
As you wish
- numbers of encounters/day: 1 = quarantine, 2-3 = practicing social distancing, 4-6 = heavy social life, 7-9 = not caring at all // default 2
- practicing preventive measures (ie. washing hands regularly, not touching your face etc.): 0.1 (nobody does anything) - 1 (very strictly) // default 0.8
- government elucidation: 0.1 (very bad) - 1 (highly transparent and educating) // default 0.9
- Immunity rate (due to lacking data): 0 (you can't get immune) - 1 (once you had it you'll never get it again) // default 0.4
Key
- Healthy: People are not infected with SARS-CoV-19 but could still get it
- Infected: People have been infected and developed the disease COVID-19
- Recovered: People just have recovered from COVID-19 and can't get it again in this stage
- Dead: People died because of COVID-19
- Immune: People got immune and can't get the disease again
- Critical recovery percentage: Chance of survival with no special medical treatment
SARS-CoV-19 COVID-19 Corona Coronavirus Virus Disease Infection Pandemic
- 7 months 1 week ago
Clone of SARS-CoV-19 Modell von Lucia Vega Resto
Hans Kratz
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
- 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
SARS-CoV-19 COVID-19 Corona Coronavirus Virus Disease Infection Pandemic
- 3 months 2 weeks ago
Clone of Burnie COVID-19 outbreak demo model version 2
Mika yang
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
AssumptionsGovt 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.
AssumptionsGovt 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.
- 1 week 4 days ago
Clone of Modelo SIR simples - Covid 19
Antonio Jose de Medeiros Filho
Modelo epidemiológico simplesSIR: 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.
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.
Epidemiología Modelo SIR COVID-19 Coronavirus Dinamica De Sistemas
- 4 months 1 week ago
Clone of Coronavirus: A Simple SIR (Susceptible, Infected, Recovered) with death
luke vanlaningham
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 inhttps://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:
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 inhttps://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:
- 6 months 3 weeks ago
Clone of Modelo SIR simples - Covid-19
Angélica Letícia Braz Souza
Modelo epidemiológico simplesSIR: Susceptíveis - Infectados - Recuperados
Dados iniciais do Brasil em 04 Abr 2020
Fonte:https://www.worldometers.info/coronavirus/country/brazil/
Dados iniciais do Brasil em 04 Abr 2020
Fonte:https://www.worldometers.info/coronavirus/country/brazil/
- 5 months 2 weeks ago
Clone of Modelo SIR simples - Covid 19
Wallace Nascimento Paraizo
Modelo epidemiológico simplesSIR: Susceptíveis - Infectados - Recuperados
Dados iniciais do Brasil em 04 Abr 2020
Fonte:https://www.worldometers.info/coronavirus/country/brazil/
Dados iniciais do Brasil em 04 Abr 2020
Fonte:https://www.worldometers.info/coronavirus/country/brazil/
Epidemiología Modelo SIR COVID-19 Coronavirus Dinamica De Sistemas
- 6 months 3 weeks ago
Clone of Coronavirus: A Simple SIR (Susceptible, Infected, Recovered) with death
Jon Ford
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 inhttps://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:
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 inhttps://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:
- 6 months 3 weeks ago
Clone of Coronavirus: A Simple SIR (Susceptible, Infected, Recovered) with death
Samuel Kaelin
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 inhttps://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:
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 inhttps://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:
- 6 months 3 weeks ago
Clone of SARS-CoV-19 model
CarInTheLake
- 7 months 1 week ago
Clone of Modelo SIR simples - Covid 19
Jose Francisco Junqueira reis
Modelo epidemiológico simplesSIR: Susceptíveis - Infectados - Recuperados
Dados iniciais do Brasil em 04 Abr 2020
Fonte:https://www.worldometers.info/coronavirus/country/brazil/
Dados iniciais do Brasil em 04 Abr 2020
Fonte:https://www.worldometers.info/coronavirus/country/brazil/
Epidemiología Modelo SIR COVID-19 Coronavirus Dinamica De Sistemas
- 6 months 3 weeks ago
Clone of Infectious Disease Model (Version 3.0)
Eleanor Jeram
Modelling the demand for health and care resources resulting from the Covid-19 outbreak using an SEIR model.
Health And Social Care Infectious Disease COVID-19 SARS-Cov-2
- 6 months 3 weeks ago
Clone of Infectious Disease Model (Covid)
Michael F O'brien
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.
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.
Health And Social Care Infectious Disease COVID-19 SARS-Cov-2 Coronavirus
- 5 months 1 week ago
Clone of SEIR Infectious Disease Model for COVID-19
Anchal Patil
Here we have a basic SEIR model and we will investigate what changes would be appropriate for modelling the 2019 Coronavirus
- 5 months 3 weeks ago
Clone of Coronavirus: A Simple SIR (Susceptible, Infected, Recovered) with death
Jacob Adkins
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 inhttps://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:
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 inhttps://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:
- 6 months 3 weeks ago
Clone of Infectious Disease Model (Version 3.0)
Mike LaBonte
Modelling the demand for health and care resources resulting from the Covid-19 outbreak using an SEIR model.
Health And Social Care Infectious Disease COVID-19 SARS-Cov-2
- 5 months 1 week ago
Clone of SARS-CoV-19 model
shira hadad
SARS-CoV-19 spread in different countries- please adjust variables accordingly
Italy
Germany
France
As you wish
Key
Italy
- elderly population (>65): 0.228
- estimated undetected cases factor: 4-11
- starting population size: 60 000 000
- high blood pressure: 0.32 (gbe-bund)
- heart disease: 0.04 (statista)
- free intensive care units: 3 100
Germany
- elderly population (>65): 0.195 (bpb)
- estimated undetected cases factor: 2-3 (deutschlandfunk)
- starting population size: 83 000 000
- high blood pressure: 0.26 (gbe-bund)
- heart disease: 0.2-0.28 (herzstiftung)
- free intensive care units: 5 880
France
- elderly population (>65): 0.183 (statista)
- estimated undetected cases factor: 3-5
- starting population size: 67 000 000
- high blood pressure: 0.3 (fondation-recherche-cardio-vasculaire)
- heart disease: 0.1-0.2 (oecd)
- free intensive care units: 3 000
As you wish
- numbers of encounters/day: 1 = quarantine, 2-3 = practicing social distancing, 4-6 = heavy social life, 7-9 = not caring at all // default 2
- practicing preventive measures (ie. washing hands regularly, not touching your face etc.): 0.1 (nobody does anything) - 1 (very strictly) // default 0.8
- government elucidation: 0.1 (very bad) - 1 (highly transparent and educating) // default 0.9
- Immunity rate (due to lacking data): 0 (you can't get immune) - 1 (once you had it you'll never get it again) // default 0.4
Key
- Healthy: People are not infected with SARS-CoV-19 but could still get it
- Infected: People have been infected and developed the disease COVID-19
- Recovered: People just have recovered from COVID-19 and can't get it again in this stage
- Dead: People died because of COVID-19
- Immune: People got immune and can't get the disease again
- Critical recovery percentage: Chance of survival with no special medical treatment
SARS-CoV-19 COVID-19 Corona Coronavirus Virus Disease Infection Pandemic
- 7 months 1 week ago
Clone of SEIR Infectious Disease Model for COVID-19
Michał S
Here we have a basic SEIR model and we will investigate what changes would be appropriate for modelling the 2019 Coronavirus
- 7 months 3 weeks ago
Clone of Modelo SIR simples - Covid 19
Crepalde
Modelo epidemiológico simplesSIR: Susceptíveis - Infectados - Recuperados
Dados iniciais do Brasil em 04 Abr 2020
Fonte:https://www.worldometers.info/coronavirus/country/brazil/
Dados iniciais do Brasil em 04 Abr 2020
Fonte:https://www.worldometers.info/coronavirus/country/brazil/
Epidemiología Modelo SIR COVID-19 Coronavirus Dinamica De Sistemas
- 6 months 3 weeks ago
Clone of Burnie COVID-19 outbreak demo model version 2
Zijing Zeng
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
AssumptionsGovt 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.
AssumptionsGovt 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.
- 1 week 20 hours ago
Clone of SARS-CoV-19 model
Jonathon Sevy
SARS-CoV-19 spread in different countries- please adjust variables accordingly
Italy
Germany
France
As you wish
Key
Italy
- elderly population (>65): 0.228
- estimated undetected cases factor: 4-11
- starting population size: 60 000 000
- high blood pressure: 0.32 (gbe-bund)
- heart disease: 0.04 (statista)
- free intensive care units: 3 100
Germany
- elderly population (>65): 0.195 (bpb)
- estimated undetected cases factor: 2-3 (deutschlandfunk)
- starting population size: 83 000 000
- high blood pressure: 0.26 (gbe-bund)
- heart disease: 0.2-0.28 (herzstiftung)
- free intensive care units: 5 880
France
- elderly population (>65): 0.183 (statista)
- estimated undetected cases factor: 3-5
- starting population size: 67 000 000
- high blood pressure: 0.3 (fondation-recherche-cardio-vasculaire)
- heart disease: 0.1-0.2 (oecd)
- free intensive care units: 3 000
As you wish
- numbers of encounters/day: 1 = quarantine, 2-3 = practicing social distancing, 4-6 = heavy social life, 7-9 = not caring at all // default 2
- practicing preventive measures (ie. washing hands regularly, not touching your face etc.): 0.1 (nobody does anything) - 1 (very strictly) // default 0.8
- government elucidation: 0.1 (very bad) - 1 (highly transparent and educating) // default 0.9
- Immunity rate (due to lacking data): 0 (you can't get immune) - 1 (once you had it you'll never get it again) // default 0.4
Key
- Healthy: People are not infected with SARS-CoV-19 but could still get it
- Infected: People have been infected and developed the disease COVID-19
- Recovered: People just have recovered from COVID-19 and can't get it again in this stage
- Dead: People died because of COVID-19
- Immune: People got immune and can't get the disease again
- Critical recovery percentage: Chance of survival with no special medical treatment
SARS-CoV-19 COVID-19 Corona Coronavirus Virus Disease Infection Pandemic
- 1 month 1 week ago
Clone of Clone of Clone of Clone of Clone of SEIR Infectious Disease Model for COVID-19
juan jose
Here we have a basic SEIR model and we will investigate what changes would be appropriate for modelling the 2019 Coronavirus
- 7 months 6 days ago
Clone of Infectious Disease Model (Covid)
Pradeesh Kumar
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.
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.
Health And Social Care Infectious Disease COVID-19 SARS-Cov-2 Coronavirus
- 7 months 1 week ago
Clone of SARS-CoV-19 model
Carlos Amezquita
SARS-CoV-19 spread in different countries- please adjust variables accordingly
Italy
Germany
France
As you wish
Key
Italy
- elderly population (>65): 0.228
- estimated undetected cases factor: 4-11
- starting population size: 60 000 000
- high blood pressure: 0.32 (gbe-bund)
- heart disease: 0.04 (statista)
- free intensive care units: 3 100
Germany
- elderly population (>65): 0.195 (bpb)
- estimated undetected cases factor: 2-3 (deutschlandfunk)
- starting population size: 83 000 000
- high blood pressure: 0.26 (gbe-bund)
- heart disease: 0.2-0.28 (herzstiftung)
- free intensive care units: 5 880
France
- elderly population (>65): 0.183 (statista)
- estimated undetected cases factor: 3-5
- starting population size: 67 000 000
- high blood pressure: 0.3 (fondation-recherche-cardio-vasculaire)
- heart disease: 0.1-0.2 (oecd)
- free intensive care units: 3 000
As you wish
- numbers of encounters/day: 1 = quarantine, 2-3 = practicing social distancing, 4-6 = heavy social life, 7-9 = not caring at all // default 2
- practicing preventive measures (ie. washing hands regularly, not touching your face etc.): 0.1 (nobody does anything) - 1 (very strictly) // default 0.8
- government elucidation: 0.1 (very bad) - 1 (highly transparent and educating) // default 0.9
- Immunity rate (due to lacking data): 0 (you can't get immune) - 1 (once you had it you'll never get it again) // default 0.4
Key
- Healthy: People are not infected with SARS-CoV-19 but could still get it
- Infected: People have been infected and developed the disease COVID-19
- Recovered: People just have recovered from COVID-19 and can't get it again in this stage
- Dead: People died because of COVID-19
- Immune: People got immune and can't get the disease again
- Critical recovery percentage: Chance of survival with no special medical treatment
SARS-CoV-19 COVID-19 Corona Coronavirus Virus Disease Infection Pandemic
- 7 months 1 week ago