A SEIR Model of SARS Pandemic With Isolation and Quarantine, based on Introduction to Computational Science by Shiflet and Shiflet Quarantine is when someone exposed to infected people, whether infected or not, and advised to stay at home. Isolation is when someone exposed to infected people,
Pandemic SARS Health Care
A SEIR Model of SARS Pandemic With Isolation and Quarantine, based on Introduction to Computational Science by Shiflet and Shiflet

Quarantine is when someone exposed to infected people, whether infected or not, and advised to stay at home.

Isolation is when someone exposed to infected people, get infected, detected, and send to hospital.

Assumption:
- No births
- Dead only caused by SARS
- Contact between susceptible and infected are constant. Contact does not affected by population density
- Quarantine factor for susceptible and exposed is same.
- Quarantine and isolation is fully efective. Someone who quarantined or isolated cannot transmit or exposed to SARS
- Someone who has already recovered from SARS gained fully effective immunity, thus cannot re-infected
Clone of SEIR Model of SARS
Diego Bryllian
5 months ago
This basic pandemic model explores the dynamics and healthcare burden associated with of a novel infection.
Epidemiology COVID-19 Pandemic
This basic pandemic model explores the dynamics and healthcare burden associated with of a novel infection.
Clone of Pandemic: Exploring the Dynamics of a Novel Infection
Steven D'Alessandro
Model description: This model is designed to simulate the outbreak of Covid-19 in Burnie in Tasmania, death cases, the governmental responses and Burnie local economy.  More importantly, the impact of governmental responses to both Covid-19 infection and to local economy, the impact of death
Health COVID-19 Pandemic Economy
Model description:
This model is designed to simulate the outbreak of Covid-19 in Burnie in Tasmania, death cases, the governmental responses and Burnie local economy. 

More importantly, the impact of governmental responses to both Covid-19 infection and to local economy, the impact of death cases to local economy are illustrated. 

The model is based on SIR (Susceptible, Infected and recovered) model. 

Variables:
The simulation takes into account the following variables: 

Variables related to Covid-19: (1): Infection rate. (2): Recovery rate. (3): Death rate. (4): Immunity loss rate. 

Variables related to Governmental policies: (1): Vaccination mandate. (2): Travel restriction to Burnie. (3): Economic support. (4): Gathering restriction.

Variables related to economic growth: Economic growth rate. 

Adjustable variables are listed in the part below, together with the adjusting range.

Assumptions:
(1): Governmental policies are aimed to control(reduce) Covid-19 infections and affect (both reduce and increase) economic growth accordingly.

(2) Governmental policy will only be applied when reported cases are 10 or more. 

(3) The increasing cases will negatively influence Burnie economic growth.

Enlightening insights:
(1) Vaccination mandate, when changing from 80% to 100%, doesn't seem to affect the number of death cases.

(2) Governmental policies are effectively control the growing death cases and limit it to 195. 

Clone of Burnie Tasmania Covid - 19 outbreak simulation Model by Yankang Huang 541 277
Yankang Huang
This basic pandemic model explores the dynamics and healthcare burden associated with of a novel infection.
Pandemic Epidemiology COVID-19
This basic pandemic model explores the dynamics and healthcare burden associated with of a novel infection.
Clone of Pandemic: Exploring the Dynamics of a Novel Infection
Lioua Kolsi
This basic pandemic model explores the dynamics and healthcare burden associated with of a novel infection.
COVID-19 Pandemic Epidemiology
This basic pandemic model explores the dynamics and healthcare burden associated with of a novel infection.
Clone of Pandemic: Exploring the Dynamics of a Novel Infection
bakhtiyor ismailov
This basic pandemic model explores the dynamics and healthcare burden associated with of a novel infection.
Pandemic COVID-19 Epidemiology
This basic pandemic model explores the dynamics and healthcare burden associated with of a novel infection.
Clone of Pandemic: Exploring the Dynamics of a Novel Infection
Lioua Kolsi
This basic pandemic model explores the dynamics and healthcare burden associated with of a novel infection.
Epidemiology COVID-19 Pandemic
This basic pandemic model explores the dynamics and healthcare burden associated with of a novel infection.
Clone of Pandemic: Exploring the Dynamics of a Novel Infection
Ruixin Zhang
SARS-CoV-19 spread  in different countries - please  adjust variables accordingly 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
Disease Coronavirus Infection Corona Virus COVID-19 SARS-CoV-19 Pandemic
SARS-CoV-19 spread in different countries
- please adjust variables accordingly

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
Clone of SARS-CoV-19 model
Prof. Dr. Harald Schaub
2 months ago
A SEIR Model of SARS Pandemic With Isolation and Quarantine, based on Introduction to Computational Science by Shiflet and Shiflet Quarantine is when someone exposed to infected people, whether infected or not, and advised to stay at home. Isolation is when someone exposed to infected people,
Pandemic SARS Health Care
A SEIR Model of SARS Pandemic With Isolation and Quarantine, based on Introduction to Computational Science by Shiflet and Shiflet

Quarantine is when someone exposed to infected people, whether infected or not, and advised to stay at home.

Isolation is when someone exposed to infected people, get infected, detected, and send to hospital.

Assumption:
- No births
- Dead only caused by SARS
- Contact between susceptible and infected are constant. Contact does not affected by population density
- Quarantine factor for susceptible and exposed is same.
- Quarantine and isolation is fully efective. Someone who quarantined or isolated cannot transmit or exposed to SARS
- Someone who has already recovered from SARS gained fully effective immunity, thus cannot re-infected
Clone of SEIR Model of SARS
Emir Abe Putra Agastha
last month
A SEIR Model of SARS Pandemic With Isolation and Quarantine, based on Introduction to Computational Science by Shiflet and Shiflet Quarantine is when someone exposed to infected people, whether infected or not, and advised to stay at home. Isolation is when someone exposed to infected people,
Pandemic SARS Health Care
A SEIR Model of SARS Pandemic With Isolation and Quarantine, based on Introduction to Computational Science by Shiflet and Shiflet

Quarantine is when someone exposed to infected people, whether infected or not, and advised to stay at home.

Isolation is when someone exposed to infected people, get infected, detected, and send to hospital.

Assumption:
- No births
- Dead only caused by SARS
- Contact between susceptible and infected are constant. Contact does not affected by population density
- Quarantine factor for susceptible and exposed is same.
- Quarantine and isolation is fully efective. Someone who quarantined or isolated cannot transmit or exposed to SARS
- Someone who has already recovered from SARS gained fully effective immunity, thus cannot re-infected
Clone of SEIR Model of SARS
Muhammad Grandiv Lava Putra (Grandiv)
last month
A model of an infectious disease and control
Finance Environment Pandemic Disease Health Care
A model of an infectious disease and control

Clone of Disease Dynamics (Agent Based Modeling) Guy Lakeman
TDebord
last week