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The System Dynamics Model presents the the COVID-19 status in Сhina

Жангир Шаханов Covid-19 in china

Шаханов Жангир

8

Clone nyoba2 of SEIR COVID-19 New Kl. 1

Kelompok1

Agent based Modeling Simulation for Pandemic COVID-19 Disease

Covid-19(ABM)_VHK

Venkata Habiram Koppaka

11

Pada Tugas 3 mata kuliah Pemodelan Transportasi Laut, ditugaskan untuk membuat pemodelan penyebaran COVID-19 di negara yang dipilih, dan pada simulasi ini merupakan negara Indonesia

Dosen Pengampu : Dr.-Ing Ir Setyo Nugroho

Simulasi Pemodelan Penyebaran COVID-19 di Indonesia

Thamara Shaifa Anwar

21

COVID-19

Наурызбай Мерейлі

5

Самостоятельная Асадбека

Covid-19 in USA

Asad H

5 months ago

AGENT-BASED MODEL OF COVID-19

AL JOHN D. CENA

3

Covid-19 model

Covid-19

sakon supakul

АҚШтағы COVID-19 Жүйелік динамика

MERS Aizhan

9 2 weeks ago

Covid-19 Russia

Инкар Мухамедкаримова

3 5 months ago

Develop a basic Systemigram / Rich Picture to tell the story of covid 19 mitigation

Systemigram Covid-19

Diana A.

The Covid-19 pandemic has introduced a variety of novel and intense difficulties, from dealing with the production network for individual defensive gear (PPE) to changing labor force ability to adapting to monetary misfortune. Amidst these difficulties lies a chance for medical services pioneers to more readily position and change their associations for an eventual fate of unusual amazement. To oversee limit, monetary misfortune, and care overhaul, medical services associations have settled on the basic choice to deliver or lessen labor force or to move numerous representatives to far off work, incorporating clinicians working with telehealth advances. (www.catalyst.nejm.org)

Reference:

Begun, J.W. PhD, Jiang, J.H, PhD,. (2020, October 9). NEJM Catalyst/Innovations in Care Delivery. Health Care Management During Covid-19: Insights from Complexity Science. Retrieved from https://catalyst.nejm.org/doi/full/10.1056/CAT.20.0505

Covid-19 Health Care Complexities and Variables

Taleisha Y. Alcorn

Tugas Kelompok Teknik Pemodelan dan Simulasi

SIR Model Covid-19

Danurrizad Ryan Darmoko

13

SEIR COVID-19 New Kl. 1

Kelompok1

29

The System Dynamics Model presents the the COVID-19 status in Puerto Princesa City

Ph_Covid19SDM_AngelKateCacayan

angel kate cacayan

42

Otu_COVID-19_CV

Antonio Baptista

6

ABOUT THE MODEL

This is a dynamic model that shows the correlation between the health-related policies implemented by the Government in response to COVID-19 outbreak in Burnie, Tasmania, and the policies’ impact on the Economic activity of the area.

ASSUMPTIONS

The increase in the number of COVID-19 cases is directly proportional to the increase in the Government policies in the infected region. The Government policies negatively impact the economy of Burnie, Tasmania.

INTERESTING INSIGHTS

1. When the borders are closed by the government, the economy is severely affected by the decrease of revenue generated by the Civil aviation/Migration rate. As the number of COVID-19 cases increase, the number of people allowed to enter Australian borders will also decrease by the government.

2. The Economic activity sharply increases and stays in uniformity.

3. The death rate drastically decreased as we increased test rate by 90%.

COVID-19 Outbreak in Burnie Tasmania (Rajaa Sajjad, 538837)