Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/jomaminoza/bangsamoro-abm-covid19-vaccine-distribution-optimization
An agent-based model that simulates COVID-19 transmission considering policy restrictions, behavioral and disease-resistance factors as control measures to prevent further transmission of the virus. Additionally, a multi-objective optimization for equitable vaccine distribution can be applied.
https://github.com/jomaminoza/bangsamoro-abm-covid19-vaccine-distribution-optimization
abm bangsamoro covid19 linear-programming mesa optimization-algorithms
Last synced: about 2 months ago
JSON representation
An agent-based model that simulates COVID-19 transmission considering policy restrictions, behavioral and disease-resistance factors as control measures to prevent further transmission of the virus. Additionally, a multi-objective optimization for equitable vaccine distribution can be applied.
- Host: GitHub
- URL: https://github.com/jomaminoza/bangsamoro-abm-covid19-vaccine-distribution-optimization
- Owner: JomaMinoza
- License: gpl-3.0
- Created: 2021-02-16T11:49:10.000Z (almost 4 years ago)
- Default Branch: main
- Last Pushed: 2023-07-11T22:13:23.000Z (over 1 year ago)
- Last Synced: 2023-07-11T23:23:35.555Z (over 1 year ago)
- Topics: abm, bangsamoro, covid19, linear-programming, mesa, optimization-algorithms
- Language: Jupyter Notebook
- Homepage: https://barmm-abm-covid19-vaccination.herokuapp.com/#
- Size: 33.5 MB
- Stars: 1
- Watchers: 2
- Forks: 2
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Title: A BARMM Case Study: COVID-19 Agent-Based Model with Goal Optimization for Vaccine Distribution
### Abstract
Preventive and control measures such as community quarantine, wearing face masks and social distancing have been widely used to limit the spread of COVID-19. Quarantine is used to lower the number of infectives, helping health facilities cope, but trade-offs with the economy can be observed. Different health and economic policies have various implications in the community. Thus, the idea of emergence through an agent-based model (ABM) is developed to observe the impact of various health policies on the spread of the disease.
Now that SARS-CoV-2 (COVID-19) vaccines are developed, it is very important to plan its distribution strategy. Combined with the ABM, a resource optimization model was proposed in this study to simulate the possible decisions of policymakers and to help them identify appropriate strategies for their constituents. Using the proposed model, it aims that it could simulate possible decisions of policymakers and could help them identify appropriate strategies for their constituents.
In this case study, simulations for different vaccination scenarios for the Bangsamoro region were analyzed.
[Sample Implementation of Solution: https://barmm-abm-covid19-vaccination.herokuapp.com](https://barmm-abm-covid19-vaccination.herokuapp.com)
### To run the model, type
```
> python main.py
```
For more details of the model, please see the following preprints:
[COVID-19 Agent-Based Model with Multi-objective Optimization for Vaccine Distribution](https://arxiv.org/abs/2101.11400)
[Protection after Quarantine: Insights from a Q-SEIR Model with Nonlinear Incidence Rates Applied to COVID-19](https://www.medrxiv.org/content/10.1101/2020.06.06.20124388v1)
[Modeling the dynamics of COVID-19 using Q-SEIR model with age-stratified infection probability](https://www.medrxiv.org/content/10.1101/2020.05.20.20095406v1)
[Age-stratified Infection Probabilities Combined with Quarantine-Modified SEIR Model in the Needs Assessments for COVID-19](https://www.medrxiv.org/content/10.1101/2020.04.08.20057851v1)
### Jupyter Notebooks
[COVID19 Epidemiological Data - Exploratory Analysis](https://github.com/JomaMinoza/Bangsamoro-ABM-COVID19-Vaccine-Distribution-Optimization/blob/main/experiments/notebooks/COVID19%20Epidemiological%20Data%20-%20Exploratory%20Analysis.ipynb)
[Vaccine Distribution using Different Prioritization Factors](https://github.com/JomaMinoza/Bangsamoro-ABM-COVID19-Vaccine-Distribution-Optimization/blob/main/experiments/notebooks/Vaccine%20Distribution%20using%20Different%20Prioritization%20Factors.ipynb)
[Sensitivity Analysis](https://github.com/JomaMinoza/Bangsamoro-ABM-COVID19-Vaccine-Distribution-Optimization/blob/main/experiments/notebooks/)
### Scripts
[Slurm Scripts for High-Performance Computing (HPC) cluster ](https://github.com/JomaMinoza/Bangsamoro-ABM-COVID19-Vaccine-Distribution-Optimization/tree/main/experiments/scripts)
[Script for Summarized Results](https://github.com/JomaMinoza/Bangsamoro-ABM-COVID19-Vaccine-Distribution-Optimization/blob/main/scripts/summarize_results.py)
[Script for Summarized Sensitivity Analysis](https://github.com/JomaMinoza/Bangsamoro-ABM-COVID19-Vaccine-Distribution-Optimization/blob/main/scripts/summarize_results.py)
### Sensitivity Analysis
#BARMMOpenData