TABLE I. Definitions of the NPI Data Used in the Experiments.
| NPI name | Level 0 | Level 1 | Level 2 | Level 3 | Level 4 |
|---|---|---|---|---|---|
| hline C1_School closing | no measures | recommend closing | require closing some levels e.g., just high school, or just public schools) | require closing all levels | |
| C2_Workplace closing | no measures | recommend closing (or recommend work from home) | require closing (or WFH) for some sectors or cate- gories of workers | require closing (or WFH) for all-but-essential workplaces (e.g., grocery stores, doctors) | |
| C3_Cancel public events | no measures | recommend canceling | require canceling | ||
| C4_Restrictions on gatherings | no restrictions | restrictions on large gatherings (limit is above 1000 people) | restrictions on gatherings 101-1000 people | restrictions on gatherings 11-100 people | restrictions on gatherings 10 people or less |
| C5_Close public transport | no measures | recommend closing (or signifi- cantly reduce volume/route/means of transport available) | require closing (or prohibit most citizens from using it) | ||
| C6_Stay at home requirements | no measures | recommend not leaving house | require not leaving house with exceptions for daily exercise, grocery shopping, and 'essential' trips | require not leaving house with minimal exceptions (e.g., ok to leave once a week, or only one person at a time, etc) | |
| C7_Restrictions on internal movement | no measures | recommend not to travel between regions/cities | internal movement restrictions in place | ||
| C8_International travel controls | no restrictions | screening arrivals | quarantine arrivals from some or all regions | ban arrivals from some regions | ban on all regions or total border closure |
The data consists of daily ’Closure and containment’ measures in the ’Coronavirus Government Response Tracker’ by Oxford [8], [40], [42]. There are eight kinds of NPIs, each ranging in stringency from 0 (no measures) to 2, 3, or 4 (full measures). Together with daily cases, this data is used to train the Predictor model.