The System Dynamics Of Covid-19 Pandemic at Puerto Princesa City Palawan
Here we have a basic SEIR model and we will investigate what changes would be appropriate for modelling the 2019 Coronavirus
ECM-Training - SEIR Infectious Disease Model for COVID-19
Very basic LV model, looking at the relationship between COVID-19 mitigation behavior and COVID-19 cases
Lotka Volterra COVID Model
Data provided by:
PHE and
Worldometers
UK COVID 19 Simulator
The System Dynamics Model presents the the COVID-19 status in Puerto Princesa City
Ауру Динамикасы COVID-19
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
SARS-CoV-19 model
The System Dynamics Model presents the the COVID-19 status in Germany
Өзіндік жұмыс соңғы
1ковид 19 для россии окончательно 2 часть самост.работы
This is an unmitigated model showing the potential spread of COVID-19 across the healthcare system. This effectively shows the worst case scenario without any actions to reduce the spread of the virus.
COVID Southern locality (phased)
This model calculates and demonstrates the possible spread of COVID-19 through an agent-based map. It shows the timeline of a healthy individual being infected to recovery.
COVID Model
A Susceptible-Infected-Recovered (SIR) disease model with waning immunity
COVID-19 Delta Variant Spread Among Emory Students
During the Covid-19 Outbreak Model
