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Model ini dirancang untuk membuat model tentang penyebaran Covid-19 dan vaksinasi di Kabupaten Sleman pada November 2022

Model ini dibuat untuk memenuhi tugas kelompok dari matakuliah Metode Penyelesaian Masalah dan Pemodelan, atas nama :
Sabilla Halimatus Mahmud
Nurul Widyastuti
Muhammad Najib



Edit Model Penyebaran Covid-19 di Kabupaten Sleman
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Агентное моделирование по COVID-19
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The System Dynamics Model presents the the COVID-19 status in Сhina
Жангир Шаханов Covid-19 in china
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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
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Tugas Metodologi Penyelesaian Masalah dan Pemodelan:
Wahyu Abdillah
Ribut Aji Kasmiadi
Faqih Zulfikar
Revised of COVID-19 S&F PT1 Model
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COVID-19 в США
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АҚШтағы COVID-19 Жүйелік динамика
9 2 months ago
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 Жүйелік динамика SIR ауру үлгісі
Covid-19 in USA(2021).
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Otu_COVID-19_CV
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Covid-19 In India
5 2 months ago
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Agent based Modeling Simulation for Pandemic COVID-19 Disease
Covid-19(ABM)_VHK
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Covid-19 Russia
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Самостоятельная Асадбека
Covid-19 in USA
7 months ago
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Clone nyoba2 of SEIR COVID-19 New Kl. 1
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AGENT-BASED MODEL OF COVID-19
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Өзіндік жұмыс агенттік
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From Yuan Tian's 2024 paper Early COVID-19 Pandemic Preparedness: Informing Public Health Interventions and Hospital Capacity Planning Through Participatory Hybrid Simulation Modeling and  PhD Dissertation 2025 USask Fig 5.1 p96 
Hybrid model of early Covid-19
9 months ago
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This model is comparing healthy and sick residents in Burnie, Tasmania after the Covid-19 Outbreak in 2020. It will also show how the Burnie economy is effected by the disease, how the Government Health Policies are implemented and how they are enforced.

This model is based on the SIR, Susceptible, Infection, Recovery (or Removed) These are the three possible states related to the members of the Burnie population when a contagious decease spreads.

The Government/Government Health Policy, played a big part in the successful decrease in Covid-19 infections. The Government enforced the following.
- No travel (interstate or international)
- Isolation within the residents homes
- Social distancing by 1.5m
- Quarantine
- Non essential companies to be temporarily closed
- Limitations on public gatherings
- And limits on time and kilometers aloud to travel from ones home within a local community

This resulted in lower reported infection rates of Covid-19 and higher recovery rates.

In my opinion:
When the first case was reported the Government could have been even faster to enforce these rules to decrease the fatality rates further for the Burnie, population.  

Assumption: Government policies were only triggered when 10 cases were recorded.
Also, more cases that had been recorded effected the economic growth during this time.

Interesting Findings: In the simulation it shows as the death rates increases towards the end of the week, the rate of testing goes down. You would think that the government would have enforced a higher testing rate over the duration of this time to decrease the number of infections, exposed which would increase the recovery rates faster and more efficiently.  

Figures have been determined by the population of Burnie being 19,380 at the time of assignment.

Complex Systems How Burnie Tasmania dealt with Covid-19 Outbreak BMA708
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Simple epidemiological model for Burnie, Tasmania
SIR: Susceptible to infection - Infected - Recovery, Government responses and Economic impacts  

Government policy is activated when there are 10 or fewer reported cases of COVID-19. The more people tested, the fewer people became infected. So the government's policy is to reduce infections by increasing the number of people tested and starting early. At the same time, it has slowed the economic growth (which, according to the model,  will stop for next 52 weeks).
Model of Covid-19 Outbreak in Burnie, Tasmania (Yue Xiang 512994)
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The System Dynamics Model presents the the COVID-19 status in Сhina
Covid-19 in China
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The System Dynamics Model presents the the COVID-19 status in Puerto Princesa City
Ph_Covid19SDM_AngelKateCacayan
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Tugas Kelompok Teknik Pemodelan dan Simulasi
SIR Model Covid-19