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COVID-19 1 - ө. ж.

Арайлым Есләмбек

System dynamics covid-19 in India

Janelle

The model here shows the COVID-19 outbreaks in Burnie Tasmania, which has impacted in the local economy. the relationship between COVID-19 and economic situation has been shown in the graph. Based on the susceptible analysis, people who usual go out are might have chance to meet susceptible people and have a high rate to be infected. The period of spreading can be controlled by keeping social distance and Government lockdown policy.

Susceptible can be exposed by go out. resident has a possibility to infect and be infected by others. people who might be die due to the lack of immunity. and others would recover and get the immune.

Beside, the economy situation is proportionate to the recovery rate. If there are more recovery rate from the pandemic, the employment rate will be increased and the economy situation will recover as well.

COVID-19 outbreak in Burnie, TAS. BMA708 Assignment 3

Yifei MAO

System Dynamics of COVID-19 spread

COVID-19 Model

Daniel Wu

Model di samping adalah model SEIR yang telah dimodifikasi sehingga dapat digunakan untuk menyimulasikan perkembangan penyebaran COVID-19.

Covid-19: SEIR Model for COVID-19 in Indonesia

Rio Swarawan Putra

озиндик жумыс

Аружан Мансур

2 өзіндік жұмыс

Anarali Abdisattarov

12 months ago

This model shows an SIR model of COVID-19 infection in the Philippines. The data used in this model are recent data from COVID-19 statistics reports this 2023.

Covid -19 Model

Cyndy Loraine Palay

Covid-19

Tamires Gomes

Системная динамика COVID-19 в Китае

Madina Muradova

Tugas Pemodelan Transportasi Laut

Memodelkan persebaran pandemik covid-19 menggunakan insightmaker

Dosen pembimbing : Dr-Ing Ir. Setyo Nugroho

Pandemic Covid-19 Simulation

Rizka Oktaviana

COVID-19: description des types de population

Philippe Vallat

Covid-19 in Swithzerland (2022)

София Козлова

This System Model presents the cases of COVID-19 in Puerto Princesa City as of June 3, 2021

Insight Author: Pia Mae M. Palay

System Dynamic Model of COVID 19 in Puerto Princesa City

Pia Mae Palay

13

fatality (death rate)= 2.5%

(as of November in U.S.; source oneworldindata.org)

reinfection rate- unknown, rare

(as of October; source:https://www.ajmc.com/view/first-case-of-covid-19-reinfection-detected-in-the-us)

Covid-19 model 2

Corinne Erickson

covid-19

Luis Alberto Bravo Cordova

Tuberculosis agent of Kazakhstan

Alikhan Mairambayev

7

Агенттик моделирование. ковид Корея

Жанел Мұхаметқан

3 weeks ago

2 өзіндік жұмыс

Minu

3

LEIA ANTES DE COMEÇAR

Milhões de pessoas ao redor do mundo estão em QUARENTENA em função da pandemia COVID-19. Se adaptar à quarentena pode ser um PROBLEMA para muitas pessoas.

Nosso DESAFIO é construir um DIAGRAMA CAUSAL que analise este PROBLEMA que é ficar em quarentena. Vamos lá!?

PRIMEIRA TAREFA (até dia 13 de maio)

1) Qual a variável CHAVE que você acha que pode definir o problema? Crie uma VARIÁVEL dentro do folder CHAVE.

2) Quais as outras variáveis SECUNDÁRIAS que estão relacionadas com este problema? Crie variáveis secundárias dentro dos FOLDER que melhor identifica o tipo da variável.

SEGUNDA TAREFA

No dia 15 de maio discutiremos virtualmente no Zoom, as variáveis propostas e faremos um DIAGRAMA CAUSAL RASCUNHO.

TERCEIRA TAREFA

No dia 22 de maio discutiremos virtualmente Zoom, o DIAGRAMA CAUSAL RASCUNHO objetivando construir o DIAGRAMA CAUSAL DEFINITIVO.

Diagrama Causal da Quarentena