Resources for Studying COVID-19 Policy

This is an on-going open source project on studying the social science aspect of the COVID-19 pandemic, such as organizations’ policy reactions, people’s attitudes towards policy, economic/societal impact, and so on.

There are growing number of predictive models and analysis for the COVID-19 pandemic. However, their results differ and rely on various assumptions. Meanwhile, policy makers should inform the public what models they rely on and how they use the model to make the decision (such as lockdown).

At current stage, I am collecting and evaluating the online projects, data, paper, and models on how organizations makes decisions to react to COVID-19.

Later on, I am interested to understand the “trust” issue better during this pandemic. For example,

• why do the public ignore/distrust local/federal governments’ decisions?

• How much should we (the public) and the policy makers trust the models for the spread of COVID-19?

• How do the public choose trustworthy sources of information (such as news/social media/experts/think tanks/governemnt/CDC)?

……

Model

JHU: Modeling the Spread of 2019-nCoV

Mathematica: COVID-19 Curated Data, Modeling, and Policy Resources

Visualization Dashboard

Coronavirus COVID-19 Global Cases by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University (Article)

Real Time Updates of COVID-19 in US and Canada by 1Point3Acres

covid19-dashboard

COVID Near You (Related news)

Data

2019 Novel Coronavirus COVID-19 (2019-nCoV) Data Repository by Johns Hopkins CSSE

Kaggle: COVID19 Global Forecasting (Week 1)

Kaggle: COVID-19 Open Research Dataset Challenge (CORD-19)

Github: COVID-19 Multilanguage Tweets Dataset

Organizations’ Decisions

UChicago: Coronavirus Updates

UBC: More UBC researchers receive federal funding to study COVID-19

CDC: Coronavirus Page

Public Media

Wikepedia: 2020 coronavirus pandemic in Illinois

Expert Voice

Youtube: Infectious Disease & Microbiome Program Meeting: Learning from 26,000 cases of COVID-19 in Wuhan

Scientific American: https://www.scientificamerican.com/article/near-real-time-studies-look-for-behavioral-measures-vital-to-stopping-coronavirus

Forbes: Boost Unemployment Benefits To Fight A Coronavirus Recession (Andrew Biggs)

UBC: how the coronavirus will impact future cities

Public Opinion

The Chicago Maroon: We Need Transparent Communication About COVID-19

The Atlantic: How the Pandemic Will End

Washington Post: Coronavirus will radically alter the U.S.

Policy/Social Science Research

COVID-19 Social Science Research Tracker

Christian Lopez, Malolan Vasu, and Caleb Gallemore (2020) Understanding the perception of COVID-19 policies by mining a multilanguage Twitter dataset