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Published August 14, 2021 | Version v1.1
Dataset Open

CoronaNetDataScience/corona_tscs: Releasing new data fields in event dataset

  • 1. Technical University of Munich
  • 2. New York University Abu Dhabi
  • 3. Universidade de Brasilia
  • 4. University of Southern California
  • 5. Fors Marsch Group
  • 6. Nazarbayev University
  • 7. Hertie School

Description

Original data collection of PHSM began on March 28, 2020. Since then, governments have implemented a wide variety of PHSM often with increasing nuance (e.g. with regards to the geographic or demographic targets of a given policy). While Version 1.0 of the dataset only released data from questions in the original survey, Version 1.1 releases data from new questions that have been added over the course of first year of data collection. For more information about the additional fields and options added to the dataset, please see our codebook

  1. update_level_var: More detailed information as to what dimension of a policy is being updated (i.e., strengthened or relaxed)
  2. pdf_link: Link to PDF of the original source used to document a policy
  3. institution_cat: Information as to whether a business or government service is considered essential or non-essential according to the government entity in charge of implementing a given PHSM
  4. institution_conditions: Information about what conditions a school, business or government service is allowed to open under (e.g., limited number of people allowed on premises)
  5. type_new_admin_coop: Information about the nature of a given cooperative effort if different governments decide to cooperate with each other (e.g. country A cooperates with country B)
  6. COVID-19 Vaccines: We have added new questions to capture various dimensions of the global COVID-19 Vaccine rollout including information on:
  • The manufacturing firm (type_vac_cat)
  • Whether vaccines are allowed to be mixed and matched (type_vac_mix)
  • The regulatory status of a given COVID-19 vaccine (type vac reg)
  • Information on the type of purchase order for COVID-19vaccines (type_vac_purchase)
  • Information on the overall criteria used for deciding how to administer COVID-19 vaccines (type vac group).
  • Information on the number of priority groups for COVID-19 Vaccine distribution, given that this is the criteria used for deciding how to administer COVID-19 vaccines (type_vac_group_rank)
  • Information as to where COVID-19 vaccines are being administered (type_vac_loc)
  • Information as to who is responsible for the economic cost of a given COVID-19 vaccine shot (type_vac_who_pays)
  • Information as to what entity has been placed in primary charge for the COVID- 19 vaccination process (type_vac_dist_admin)
  • Information as to the monetary resource devoted for a given COVID-19 vaccine policy ( typ_vac_cost_num, type_vac_cost_unit, type_vac_cost_scale, type_vac_gov_perc)
  • Information as the volume of COVID-19 vaccines (e.g. shots) in question for a given COVID-19 vaccine policy (typeva amt_num, type_vac_amt_unit, type_vac_amt_scale, type_vac_amt_gov_perc)
  1. target_init_same: Whether the geographic target of a policy is the same as the policy initiator (e.g. target init same ==0 if lockdown policy implemented by government A in country A while target init same ==1 if an external border restrictions is im- plemented by government A against country B)
  2. target_intl_org: Which international organization a policy is targeted to, if applicable. 11
  3. target_who_gen: Information as to what special populations (e.g. asylum seekers, in- digenous peoples) a policy targets, if applicable
  4. date_end_spec: Qualitative information on a policy's end date

Files

CoronaNetDataScience/corona_tscs-v1.1.zip

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Additional details

Funding

PERISCOPE – Pan-European Response to the ImpactS of COVID-19 and future Pandemics and Epidemics 101016233
European Commission