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COVID-19 Model of Puerto Princesa City as of May 19,2023.
COVID-19 Model of Puerto Princesa City
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COVID-19 Thailand 2020-2024y
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Agent based Modeling Simulation for Pandemic COVID-19 Disease
Clone of Covid-19(ABM)_VHK
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Pemodelan Epidemiologi COVID-19
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Modelo SEIR in Covid-19
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Covid-19 Systegram Landazuri
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самостаятельная работа часть 2 Акилбеков Асет
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Өзіндік жұмыс 1 (Жүйелі динамика)
11 months ago
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Healthy people get infected and 
COVID-19 Infectivity
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Model di samping adalah model SEIR yang telah dimodifikasi sehingga dapat digunakan untuk menyimulasikan perkembangan penyebaran COVID-19.
SEIR Model for COVID-19 in Indonesia (Revised V2)
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Semirara island Casual Loop Diagram
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La meilleur simulation du marché à propos de la Covid-19
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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
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Clone of SEIR - COVID-19
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Өзіндік жұмысы 2 (агенттік модель)
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A systems model of the relationships amongst economic situation, health situations and Covid-19 in Burnie, Tasmania.

Health situation 
According to exposed and go out population decreases, the population of infected decreases after a stable   high cases period.  

Economic situation
When the infected population decreases, the population economic recovery increases over time, then become stable after a period of time. 
BMA708 Assessment 3 Complex system
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Кредит 4 дз
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Here we have a basic SEIR model and we will investigate what changes would be appropriate for modelling the 2019 Coronavirus 

Modelo SEIR para COVID-19
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Данная модель отражает распространение COVID-19 в России на основе статистики за 2020 год. Модель построена в среде Insight Maker по типу SEIRD (Susceptible–Exposed–Infected–Recovered–Dead), с упрощённой динамикой.
Основные параметры:
-Исходное население (масштабировано): 1000 человек
-Заражённые в начале: 2.12% → 21 человек
-Выздоровевшие (Recovery period): через 14 дней
-Смертность: 1.71% от заболевших
-Потеря иммунитета: не учитывается (0%)
-Exogenous (внешнее заражение): 2.12%
-Transmit: 0.3 (зависит от количества заражённых и восприимчивых)
covid-19 in russia
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Covid-19 Italy
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Өзіндік жұмыс 1 германия Covid-19 2022ж
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Whitney_6550_Covid-19_GlobalCrisis