About this Dataset

Additional Datasets For Explaining COVID-19

Introduction

This page comprises the additional datasets used for the COVID-19 Global Forecasting Challenge (currently in week 3). Only datasets that have not been hosted on Kaggle will be uploaded here:

Oxford COVID-19 Government Response Tracker
Assessment Capacities Project COVID-19 Government Measures

UPDATE: Please see my notebook on the COVID-19 Global Forecasting Challenge (Week 3) competition here for merging the data.

Oxford COVID-19 Government Response Tracker

The Oxford COVID-19 Government Response Tracker (OxCGRT) provides a systematic cross-national, cross-temporal measure to understand how government responses have evolved over the full period of the disease’s spread. The project tracks governments’ policies and interventions across a standardized series of indicators and creates a composite index to measure the stringency of these responses. Data is collected and updated in real time by a team of dozens of students and staff at Oxford University. Read the white paper here. Access the OxCGRT website here.

Indicators

The OxCGRT tracks 11 indicators of government response:

School closing (with geographic scope)

Ordinal scale:
- 0 = No measures
- 1 = Recommend closing
- 2 = Require closing

Workplace closing (with geographic scope)

Ordinal scale:
- 0 = No measures
- 1 = Recommend closing
- 2 = Require closing

Cancel public events (with geographic scope)

Ordinal scale:
- 0 = No measures
- 1 = Recommend cancelling
- 2 = Require cancelling

Close public transport (with geographic scope)

Ordinal scale:
- 0 = No measures
- 1 = Recommend closing
- 2 = Require closing

Public info campaigns(with geographic scope)

Ordinal scale:
- 0 = No COVID-10 public information campaign
- 1 = COVID-10 public information campaign

Restrictions on internal movement (with geographic scope)

Ordinal scale:
- 0 = No measures
- 1 = Recommend movement restriction
- 2 = Restricted movement

International travel controls

Ordinal scale:
- 0 = No measures
- 1 = Screening
- 2 = Quarantine on high-risk regions
- 3 = Ban on high-risk regions

Fiscal measures
- Value of fiscal stimuli in USD
Monetary measures
- Value of interest rate in %
Emergency investment in health care

Value of new short-term spending on health in USD

Investment in vaccines

Value of investment in USD

Indicators with geographic scope are coded in the following way:

0 = Targeted
1 = General

The Assessment Capacities Project (ACAPS) COVID-19 Government Measures Dataset

This dataset comprises government measures and descriptions of these measures by country and date. The measures include:

Social distancing
Movement restrictions
Public health measures
Social and economic measures
Lockdowns

Descriptors of these measures include:

Date of implementation
Specific measure
Penalties for non-compliance
Source (e.g. government, media)

Tables

Oxford Cgrt

@kaggle.chrischow_demographic_factors_for_explaining_covid19.oxford_cgrt

356.86 KB
10561 rows
35 columns


CREATE TABLE oxford_cgrt (
  "countryname" VARCHAR,
  "countrycode" VARCHAR,
  "date" BIGINT,
  "s1_school_closing" DOUBLE,
  "s1_isgeneral" DOUBLE,
  "s1_notes" VARCHAR,
  "s2_workplace_closing" DOUBLE,
  "s2_isgeneral" DOUBLE,
  "s2_notes" VARCHAR,
  "s3_cancel_public_events" DOUBLE,
  "s3_isgeneral" DOUBLE,
  "s3_notes" VARCHAR,
  "s4_close_public_transport" DOUBLE,
  "s4_isgeneral" DOUBLE,
  "s4_notes" VARCHAR,
  "s5_public_information_campaigns" DOUBLE,
  "s5_isgeneral" DOUBLE,
  "s5_notes" VARCHAR,
  "s6_restrictions_on_internal_movement" DOUBLE,
  "s6_isgeneral" DOUBLE,
  "s6_notes" VARCHAR,
  "s7_international_travel_controls" DOUBLE,
  "s7_notes" VARCHAR,
  "s8_fiscal_measures" DOUBLE,
  "s8_notes" VARCHAR,
  "s9_monetary_measures" DOUBLE,
  "s9_notes" VARCHAR,
  "s10_emergency_investment_in_health_care" DOUBLE,
  "s10_notes" VARCHAR,
  "s11_investment_in_vaccines" DOUBLE,
  "s11_notes" VARCHAR,
  "confirmedcases" DOUBLE,
  "confirmeddeaths" DOUBLE,
  "stringencyindex" DOUBLE,
  "unnamed_34" VARCHAR
);