epysurv
covasim
epysurv | covasim | |
---|---|---|
1 | 2 | |
10 | 242 | |
- | 0.0% | |
0.0 | 8.2 | |
about 1 month ago | 22 days ago | |
Python | Python | |
MIT License | MIT License |
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epysurv
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Where is the default installation path when I installed R via Anaconda (using `conda install -c conda-forge epysurv`?
I am trying to set up the epysurv (https://github.com/JarnoRFB/epysurv), which is a python wrapper of the R surveillance package (https://cran.r-project.org/web/packages/surveillance/index.html).
covasim
- Daily Coronavirus Megathread - 19 September 2021
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Agent-based modelling prospects
It's used a lot in epidemiology. Eg: https://github.com/InstituteforDiseaseModeling/covasim
What are some alternatives?
viseron - Self-hosted, local only NVR and AI Computer Vision software. With features such as object detection, motion detection, face recognition and more, it gives you the power to keep an eye on your home, office or any other place you want to monitor.
coronavirus-dashboard - Dashboard for tracking Coronavirus (COVID-19) across the UK
seirsplus - Models of SEIRS epidemic dynamics with extensions, including network-structured populations, testing, contact tracing, and social distancing.
paperai - 📄 🤖 Semantic search and workflows for medical/scientific papers
TrackingR - Python code for "Tracking R of COVID-19 A New Real-Time Estimation Using the Kalman Filter".
coronavirus-tracker-api - 🦠A simple and fast (< 200ms) API for tracking the global coronavirus (COVID-19, SARS-CoV-2) outbreak. It's written in python using the 🔥 FastAPI framework. Supports multiple sources!
covid-vaccine-booking - This tool can be used to automate booking slots on Co-WIN Platform.
corona - Reverse engineering SARS-CoV-2
COVID19_AgentBasedSimulation - COVID-ABS: An Agent-Based Model of COVID-19 Epidemic to Simulate Health and Economic Effects of Social Distancing Interventions
covid19_scenarios - Models of COVID-19 outbreak trajectories and hospital demand
LinuxRMM-Script - To help users that want to add Linux Agents to Tactical RMM, without need to pay upfront for code signed agents. Thanks to @ZoLuSs for the initial commit. If this solution works for you, consider contributing to Tactical RMM project!