COVID-19-Resources
This repository contains a curated list of resources for constructing mathematical models and doing analysis on COVID-19. (This repository is updated in every 6 hours)
[
These resources are made out of the list posted on our slack channel created by Mr. Vincent Boucher.
Problem Statement
As you may know that the Corona Virus or Sars-Cov-2 is wrecking havoc on the face of Earth. It has challenged even the developed nations like the USA, UK, Italy, etc by overwhelming their health care facilities, collapsing their economy and puting lives of billions at risk. This is a small effort from to design a system incorporating the machine learning techniques to analyse the situation and lessen the effect by studing virus’ rapid growth.
Goal
Our aim is to create a gym based environment for simulating the corona virus agent to study all the possible effects find solutions to counter the rapidly spreading pandemic.
libraries
- for making environment - Gym
- for data visualization - numpy, pandas, etc.
Resources
-
All the relevant blogs, research papers, white papers, datasets, etc are listed here.
- White House urges researchers to use AI to analyze 29,000 coronavirus papers - Link
- A report focused on decision-makers for PHS LAB. The main aim was to translate in a visual speech, the conclusions of the data mining process made by PHS LAB about health matters that impact the quality life of Toronto's citizens.-Link
- Chatbot - Link
- How Canadian AI start-up BlueDot spotted Coronavirus before anyone else had a clue - Link
- WHO Health Alert brings COVID-19 facts to billions via WhatsApp- Link
- Cambridge to spearhead £20million alliance to map spread of COVID-19 coronavirus- Link
- Coronavirus: S'pore Government to make its contact-tracing app freely available to developers worldwide- Link
- AI and Edge Computing Combine in Portable Platform for Flu and Potentially Coronavirus Pandemic Forecasting- Link
- Ultra-large library docking for discovering new chemotypes-Link
- White House Announces New Partnership to Unleash U.S. Supercomputing Resources to Fight COVID-19-Link
- Affinity Mit blog-Link
- 5 Datasets About COVID-19 you can Use Right Now-Link
- How can AI and data science help to fight the coronavirus?-Link
- Mapping the landscape of artificial intelligence applications against COVID-19- Link
- Understanding the COVID-19 Pandemic as a Big Data Analytics Issue-Link
- COVID-19 tracking integrated into Conduent Maven platform-Link
- Palantir provides COVID-19 tracking software to CDC and NHS, pitches European health agencies-Link
- Cyborg Systems Develops COVID-19 Tracking Software-Link
- Apple and Google Join Forces to Track the Spread of Coronavirus- Link
- The Problem With ‘Immunity Passports’- Link
- Will an Antibody Test Allow Us to Go Back to School or Work?- Link
- Why it’s too early to start giving out “immunity passports” - Link
Blogs & Reports
-
Research Papers
- Unsupervised word embeddings capture latent knowledge from materials science literature - Link
- Joint Event and Temporal Relation Extraction with Shared Representations and Structured Prediction - Link
- MONTRÉAL.AI ACADEMY: ARTIFICIAL INTELLIGENCE 101 FIRST WORLD-CLASS OVERVIEW OF AI FOR ALL VIP AI 101 CHEATSHEET - Link
- MAPPING THE LANDSCAPE OF ARTIFICIAL INTELLIGENCE APPLICATIONS AGAINST COVID-19-Link
- Peer-to-peer AI-tracing of COVID-19- Link
- A Survey of Deep Learning for Scientific Discovery- Link
- Deep reinforcement learning for de novo drug design-Link
- Attacking the Covid-19 with the Ising-model and the Fermi-Dirac Distribution Function- Link
- Planning as Inference in Epidemiological Models-Link
- Planning as Inference in Epidemiological Models-Code
- Predicting commercially available antiviral drugs that may act on the novel coronavirus (2019-nCoV), Wuhan, China through a drug-target interaction deep learning model-Link
- Atomic Convolutional Networks for Predicting Protein-Ligand Binding Affinity -Link
- Development and evaluation of a deep learning model for protein–ligand binding affinity prediction-Link
- Graph-based genetic algoritm and generative model/ MCTS for the exploration of chemical space- Link
- AtomNet: A Deep Convolutional Neural Network for Bioactivity Prediction in Structure-based Drug Discovery-Link
- COVID-19 Resnet- A deeplearning framework for screening of covid-19 from RadioGraphs-Link
- Power law distribution in number of confiremed COVID-19 cases-Link
- SEIR and REgression model based COVID-19 outbreak predictions in India-Link
- Inferring COVID-19 Spreading rates & potential charge points-Link
- Detection of COVID-19 Associated Pneumonia based GAN - Link
- for the coronavirus COVID-19 outbreak-Link
- Generating Similarity Map in COVID-19 Transmission Dynamics with Topological Autoencoder-Link
- An alternating lock-down strategy for sustainable mitigation of COVID-19-Link
- AI4COVID-19: AI Enabled Preliminary Diagnosis for COVID-19 from Cough Samples via an App- Link
- COVID-19: Should We Test Everyone?- Link
- Neural network based country wise risk prediction of COVID-19-Link
- Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models- Link
- Understanding the CoVID-19 pandemic Curve through statistical approach- Link
- A model to predict SARS-CoV-2 infection based on the first three-month surveillance data in Brazil - Link
- A Simple Prediction Model for the Development Trend of 2019-nCov Epidemics Based on Medical Observations -Link
- A Time Delay Dynamic System with External Source for the Local Outbreak of 2019-nCoV-Link
- A Robust Stochastic Method of Estimating the Transmission Potential of 2019-nCoV- Link
- Structural modeling of 2019-novel coronavirus (nCoV) spike protein reveals a proteolytically-sensitive activation loop as a distinguishing feature compared to SARS-CoV and related SARS-like coronaviruses-Link
- Spatial-Temporal Dataset of COVID-19 Outbreak in China - Link
- A machine learning methodology for real-time forecasting of the 2019-2020 COVID-19 outbreak using Internet searches, news alerts, and estimates from mechanistic models- Link
- COVID_MTNet: COVID-19 Detection with Multi-Task Deep Learning Approaches- Link
- Coronavirus (COVID-19) Classification using Deep Features Fusion and Ranking Technique- Link
- Modelling death rates due to COVID-19: A Bayesian approach- Link
- Analysis of the COVID 19 outbreak timeline in New York State counties- Link
- Bayesian semiparametric time varying model for count data to study the spread of the COVID-19 cases - Link
- Rapidly Deploying a Neural Search Engine for the COVID-19 Open Research Dataset: Preliminary Thoughts and Lessons Learned - Link
- DeepCOVIDExplainer: Explainable COVID-19 Predictions Based on Chest X-ray Images- Link
- Give more data, awareness and control to individual citizens, and they will help COVID-19 containment- Link
- Identification of potential treatments for COVID-19 through artificial intelligence-enabled phenomic analysis of human cells infected with SARS-CoV-2 - Link
-
Datasets
- COVID-19 Open Research Dataset Challenge (CORD-19)- Link
- sansten_covid-19 dataset- Link
- COVID-19 Epidemiological Datasets-Link
- Novel Corona Virus 2019 Dataset- Link
- Corona Virus (COVID-19) Tweets Dataset-Link
- Novel Coronavirus (COVID-19) Cases Data-Link
- COVID-19 Open Research Dataset (CORD-19)-Link
- Corona virus tracking datasets by data.world Link
- Covid-19 Open Research Dataset Challenge(CORD-19)Link
- Novel Corona Dataset 2019 Link
- geographic distribution of COVID-19 cases worldwide - Link
- Novel Corona Virus cases dataset Link
-
Github repositories
- Epidemic calculator-Link
- Stimulating an Epidemic-Link
- covid19model-Link
- Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology- Link
- covid-19 Dashboard-Link
- covid-19 scenarios -Link
- TH_COVID19_International -Link
- Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE - Link
- Using HERE Technologies APIs, fork and build your own COVID-19 Tracker- Link
- Coronavirus (COVID-19) dashboard to show the dynamics of Сoronavirus distribution per country - Link
- COVID-19 Testing Site Finder with Risk Assessment - Link
- We are building an open database of COVID-19 cases with chest X-ray or CT images. - Link
- A global collection of Open Source projects during COVID-19 - Link
- COVID-19 Korea Dataset & Comprehensive Medical Dataset & visualizer - Link
- COVID-19-Anti-viral-cure-using-deep-reinforcement-learning- Link
- Tools for COVID-19 Research- Link
-
Challenges & Competitions
- Coronavirus:Using AI to Understand Policy Effects on the Economically Marginalized during Pandemics-Link
- COVID 19 Solution Challenge-Link