Institutional origins of COVID-19 public health protective policy response (PPI) data set v. 1.2 (countries)
2020
- 758Usage
- 3Mentions
Metric Options: CountsSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Usage758
- Abstract Views557
- Downloads201
- Mentions3
- News Mentions3
- 3
Most Recent News
Massive dataset reveals which governments have best responded to COVID-19 pandemic
BINGHAMTON, N.Y. -- How well did our political institutions manage the COVID-19 pandemic and are they prepared to handle future threats to the public? A
Dataset Description
This is an original dataset of stringency of public health policy measures that were adopted in response to COVID-19 worldwide by governments at different levels January 24 and April 30 2020. The national file includes daily national level aggregates for 64 countries. The regional file includes daily sub-national level aggregates for Canada and the USA. To measure COVID-19 mitigation policy responses, we gathered data on policies that national and subnational policymakers adopted within fifteen public health categories: state of emergency, self-isolation and quarantine, border closures, limits on social gatherings, school closings, closure of entertainment venues, closure of restaurants, closure of non-essential businesses, closure of government offices, work from home requirements, lockdowns and curfews, public transportation closures, and mandatory wearing of PPE. We identify and code national and subnational public health policies for each subnational unit in 64 countries (subnational aggregates are presently published of USA and Canada only), including countries in North America, Central America, South America, Europe, the Middle East, and Asia. We rely primarily on government resources, press releases, and news sources, dating policies based on first announcement. Note that between and within the policy categories, there is variation on stringency, with some policy adoptions being more stringent than others (i.e. self-isolation versus lockdowns, partial school closings versus full school closings). To this end, we weighed more stringent policies in each category in the index more heavily. Based on coded public health policy responses to COVID-19, we calculate the Public Health Protective Policy Indices (PPI): Regional PPI for each subnational unit on each day; National PPI for a country on each day, based on national level policies; and Total PPI for each subnational unit on each day. The Total PPI reflects the strictest between the national and subnational policies adopted within each category for that unit for that day. The indices are scaled to range between 0 and 1. The Average Total PPI for each country-day is computed by weighing the different units’ Total PPI values by the units’ population shares. The indices apply solely to the measurable subnational and national public-health COVID-19 mitigation policy responses.
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