🔍 Overview:

A new set of six daily indices measures the intensity of government COVID-19 policies across distinct domains, enabling clearer cross-national comparisons of how tightly governments regulated social and economic life during the pandemic.

📊 How the measures were built:

• Six domain-specific indices: social distancing, schools, businesses, health monitoring, health resources, and mask wearing.
• Combined two comprehensive event- and stringency-focused datasets: the CoronaNet COVID-19 Government Response Event Dataset and the Oxford COVID-19 Government Response Tracker.
• Implemented a Bayesian time-varying measurement model to fuse information and produce daily scores.
• Coverage: daily indices for more than 180 countries from 1 January 2020 to 14 January 2021.

⚙️ What the indices capture:

• Aggregate summaries that quantify the intensity of a country’s policy response within each domain on each day.
• Domain-level intensity (rather than a single aggregate score) to distinguish where and how governments concentrated their efforts.

📈 Key findings:

• The new indices help clarify previous evidence about lockdowns and their role in preventing infections during the early pandemic period.
• In analyses of policy adoption, countries with higher levels of democracy and greater economic interdependence tended to implement less intense policy responses.
• The domain-specific, time-varying measures make it possible to trace policy intensity shifts day-by-day and compare policy emphases across countries.

🧭 Why it matters:

These measures provide researchers and policymakers with more precise, comparable tools for studying which policies were used, when, and how intensely—improving tests of policy effectiveness and explanations for cross-national variation in pandemic responses.