Data Sources and Applications
- Data repository for the 2019 Novel Coronavirus Visual Dashboard operated by the Johns Hopkins University
- CDC: COVID-19 Case Surveillance Public Use Data with Geography
- 1Point3Acres
- Apple: COVID-19 Mobility Trends Reports
- C3.ai COVID-19 Data Lake is a unified, easily accessible data image of critical COVID-19 data publicly available at no cost to the global research community beginning on April 20, 2020.
- SAS COVID-19 Resource Hub
- reichlab/covid19-forecast-hub: Projections of COVID-19, in standardized format
- CORD-19: COVID-19 Open Research Dataset
- US Census: US Census Bureau COVID-19 Site
- CDC: US Influenza Surveillance System, Laboratory-Confirmed Influenza Hospitalizations
- European CDC: EARS-Net
- How severe is the pandemic where you live?
- 新型コロナウイルス感染速報 - a shiny application (in Chinese) (English, Chinese)
- CDC MMWR: COVID-19 related reports
- Hospitalization Rates and Characteristics of Patients Hospitalized with Laboratory-Confirmed Coronavirus Disease 2019
- Preliminary Estimates of the Prevalence of Selected Underlying Health Conditions Among Patients with Coronavirus Disease 2019
- SAS: Using data visualization to track the coronavirus outbreak
- Stata by Chuck Huber
- How to create animated choropleth maps using the COVID-19 data from Johns Hopkins University
- How to create choropleth maps using the COVID-19 data from Johns Hopkins University
- COVID-19 time-series data from Johns Hopkins University
- Brauer (2017): Mathematical epidemiology: Past, present, and future
- Plus magazine: Covid-19 (SIR model)
- software carpentry: Dynamic SIR Models using R! (deSolve)
- Eugene Joh: SIR model with deSolve & ggplot2
- Wikipedia: Compartmental models in epidemiology
- Lancet: COVID-19 Resource Centre
- NEJM: Coronavirus
- HealthKnowledge: Epidemic theory (R0, R, Herd immunity, etc.)
- Bjørnstad: R package for Epidemics: Models and Data in R
- Frosts: Epi Recipes of Epi Cookbook
1 comment:
Looking back, this list of resources provided invaluable tools during the height of the pandemic. Many of these data sources laid the groundwork for post-COVID public health strategies.
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