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Stanford Prof Estimates Infection Prevalence by Country

Stanford Prof Estimates Infection Prevalence by Country

by CivicMeter Staff | Mar 30, 2020 | Modelpedia

Stanford statistics professor Jacob Steinhardt has presented a model that attempts to estimate COVID-19 infection prevalence in countries by using data from Singapore and Taiwan — two countries with heavy testing and public case data. [Find the GitHub here.]...
New Imperial College London Model Estimates At Least 7 Million Infections in European Countries

New Imperial College London Model Estimates At Least 7 Million Infections in European Countries

by CivicMeter Staff | Mar 30, 2020 | Modelpedia

A new paper from researchers at the Imperial College London estimates prevalence of COVID-19 infections in 11 European countries, as of March 28th. From the paper: In this report, we use a semi-mechanistic Bayesian hierarchical model to attempt to infer the impact of...
Run COVID-19 “Curve-Flattening” Simulations With This Harvard Model

Run COVID-19 “Curve-Flattening” Simulations With This Harvard Model

by CivicMeter Staff | Mar 26, 2020 | Modelpedia, Uncategorized

A useful app, put together by Harvard research fellow Alison Lynn Hill, lets users explore various “flatten the curve” interventions and compare levels of healthcare resources required in different scenarios. [Use the app here.] [Github here]. Dr. Hill...
University of Melbourne App Models COVID-19 Spread in Australia

University of Melbourne App Models COVID-19 Spread in Australia

by CivicMeter Staff | Mar 26, 2020 | Modelpedia, Uncategorized

University of Melbourne has released an app designed to model how fast COVID-19 might be spreading in various countries, including Australia. See the application here. Code is available on the Github. Associate Professor Ben Phillips explains the model in a blog post:...
UPenn Model Forecasts Hospitalizations

UPenn Model Forecasts Hospitalizations

by CivicMeter Staff | Mar 25, 2020 | Modelpedia, Uncategorized

For many hospitals, exceeding resources due to high volumes of COVID-19 is not a matter of if, but when. A model from the University of Pennsylvania is helping hospitals predict how close that when might be. [See the app here.] [Github here.] From STAT: CHIME...
Harvard Model Explores Infection Scenarios in Areas Without Testing

Harvard Model Explores Infection Scenarios in Areas Without Testing

by CivicMeter Staff | Mar 25, 2020 | Modelpedia, Uncategorized

A team from the Center for Communicable Disease Dynamics at the Harvard T.H. Chan School of Public Health has designed an app to explore how many COVID-19 cases may exist in areas without widespread testing. The app lets users adjust various parameters, which are then...
Nobel Laureate Forecasts Quicker Coronavirus Recovery

Nobel Laureate Forecasts Quicker Coronavirus Recovery

by CivicMeter Staff | Mar 25, 2020 | Modelpedia, Uncategorized

A new forecast this week goes against the conventional wisdom that many countries are facing a long, painful recovery from COVID-19. The forecast from Michael Levitt, a Stanford biophysicist who received the Nobel Prize in Chemistry in 2013, focuses on the number of...
Imperial College of London Models Effects of Social Distancing

Imperial College of London Models Effects of Social Distancing

by CivicMeter Staff | Mar 20, 2020 | Modelpedia, Uncategorized

A recent report from the Imperial College of London modeled three scenarios for how the COVID-19 pandemic could unfold. The model’s results showcase starkly different outcomes the United States, and the world, could face depending on how officials react to the...

In Fighting Off COVID-19, Southeast Asia Raises Questions About Data Privacy in Public Health Emergencies

by CivicMeter Staff | Mar 20, 2020 | COVID-19, Health and Privacy, Public Health

Several countries in Southeast Asia are successfully combating COVID-19 by harvesting citizens’ personal information like location data and other data gathered from mobile apps. But these countries lack robust privacy laws, and the surveillance is taking place...

Data Analytics Has Gotten Speedier Since SARS. Has Public Health Policy Kept Up?

by CivicMeter Staff | Mar 20, 2020 | COVID-19, Public Health

Steve Bennett, SAS’s director of government practice, attributes the dramatic improvement of the medical community’s ability to track and contain infectious outbreaks to the massive improvement of quickly deploy-able data analytics tools. “Speed is everything. Speed...
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