Desvars-Larrive A., Ahne V., Álvarez F.S., Bartoszek M., Berishaj D., Bulska D., Chakraborty A., Chen J., Chen X., Cserjan D., Dervic A., Dervic E., Di Natale A., Ferreira M.R., Flores Tames E., Garcia D., Garncarek Z., Gliga D.S., Gooriah L., Grzymała-Moszczyńska J., Jurczak A., Haberfellner S., Hadziavdic L., Haug N., Holder S., Korbel J., Lasser J., Lederhilger D., Niederkrotenthaler T., Pacheco A., Pocasangre-Orellana X.M., Reddish J., Reisch V., Roux A., Sorger J., Stangl J., Stoeger L., Takriti H., Ten A., Vierlinger R., Thurner S. CCCSL: Complexity Science Hub Covid-19 Control Strategies List (2020). Version 2.0. https://github.com/amel-github/covid19-interventionmeasures
Desvars-Larrive, A., Dervic, E., Haug, N. et al. A structured open dataset of government interventions in response to COVID-19. Sci Data 7, 285 (2020). https://doi.org/10.1038/s41597-020-00609-9
A wide range of different public sources were used to populate, update and curate our dataset, including official government sources, peer-reviewed and non-peer-reviewed scientific papers, webpages of public health institutions (WHO, CDC, and ECDC), press releases, newspaper articles, and government communication through social media.
id – Unique identifier for the implemented measure. ID is also used in the Google Form to report erroneous entries.
Country – The country where the NPI measure was implemented.
ISO3 – Three-letter country code as published by the International Organization for Standardization.
State – Subnational geographic area. State where the measure was implemented; the country name otherwise. Used for Germany, India, and USA.
Region – Subnational geographic area (e.g. region, department, municipality, city) where the NPI measure has been locally implemented (i.e. the measure was not implemented nationwide as of the mentioned date). The country or the state name otherwise (i.e. measure implemented nationwide).
Date – Date of implementation of the NPI. Date of announcement was used when the date of implementation of the NPI could not be found and this was specified in the field Comment.
L1_Measure – Theme (L1 of the classification scheme). Eight themes were defined:
(1) Case identification, contact tracing and related measures,
(2) Environmental measures,
(3) Healthcare and public health capacity,
(4) Resource allocation,
(5) Risk communication,
(6) Social distancing,
(7) Travel restriction,
(8) Returning to normal life.
L2_Measure – Category (L2 of the classification scheme). See the pdf document for the list of the categories.
L3_Measure – Subcategory (L3 of the classification scheme). Provides detailed information on the corresponding category (L2).
L4_Measure – Code (L4 of the classification scheme). Corresponds to the finest level of description of the measure.
Status – Specifies whether the measure is a prolongation of a previously implemented measure ("Extended") or not ("").
Comment – Provides the description of the measure as found in the text data source, translated into English.
Source – Provides the reference for each entry.
Master_list_CCCSL_v2_ordered.csv: List of all unique combinations of theme/category/subcategory/code that appear in the CCCSL dataset.
Master-List-with-Unique-LinkType-and-value.csv: List of the codes providing a better overview of the taxonomy, i.e. type of link parent/child for each pairwise combination of codes and the number of times each link occurs in the dataset (value).
To promote common understanding and global use of the dataset, we are developping a glossary of the codes used.
Our online interactive tool is available here: http://covid19-interventions.com/CCCSLgraph/ (Author: Sorger J.)
An open library is available that contains all sources used to collect the data: https://www.zotero.org/groups/2488884/cccsl_covid_measure_project.
https://doi.org/10.5281/zenodo.3949808
and
https://github.com/amel-github/CCCSL-Codes
The CCCSL is an ongoing collaborative project, built in a time limited by the emergency of the situation. Version 1 of the CCCSL has not undergone systematic validation and is currently subjected to an extensive data validation process. Our objective is to validate and develop the dataset within the next three months.
We have released Version 2 of the CCCSL which presents stabilized coding for levels 1, 2, and 3 of the coding scheme.
We are currently stabilizing the labels of the categories/subcategories/codes for the theme "Returning to normal life".
Amélie Desvars-Larrive, [Complexity Science Hub Vienna] (https://www.csh.ac.at) Email: [email protected]
This work is coordinated by the Complexity Science Hub Vienna, Austria.
This work is supported by the University of Veterinary Medicine Vienna, Austria.
This work is supported by the European Open Science Cloud (EOSC) of the European Commission (#220) for the period Nov. 2020 - Jan. 2021.
Ahne Verena (Complexity Science Hub Vienna, Austria), Álvarez Francisco S. (Fundación Naturaleza El Salvador), Bartoszek Marta (Institute of Psychology, Jagiellonian University, Kraków, Poland / Unit of Veterinary Public Health and Epidemiology, University of Veterinary Medicine Vienna, Austria), Berishaj Dorontinë (Independent Scholar), Bulska Dominika (Institute for Social Studies, University of Warsaw, Poland), Chakraborty Abhijit (Complexity Science Hub Vienna, Austria), Chen Jiaying (Section for Science of Complex Systems, Medical University of Vienna / Complexity Science Hub Vienna, Austria), Chen Xiao (Independent Scholar), Cserjan David (Complexity Science Hub Vienna, Austria), Dervic Alija (Institute of Electrodynamics, Microwave and Circuit Engineering, Vienna University of Technology, Austria), Dervic Elma (Section for Science of Complex Systems, Medical University of Vienna / Complexity Science Hub Vienna, Austria), Desvars-Larrive Amélie (Unit of Veterinary Public Health and Epidemiology, University of Veterinary Medicine Vienna / Complexity Science Hub Vienna, Austria), Di Natale Anna (Section for Science of Complex Systems, Medical University of Vienna / Complexity Science Hub Vienna, Austria), El Goukhi Jasmin (University of Vienna / Unit of Veterinary Public Health and Epidemiology, University of Veterinary Medicine Vienna), Ferreira Marcia R. (Complexity Science Hub Vienna, Austria), Flores Tames Erwin (Complexity Science Hub Vienna, Austria), Garcia David (Section for Science of Complex Systems, Medical University of Vienna / Complexity Science Hub Vienna, Austria), Garncarek Zuzanna (Institute of Psychology, Jagiellonian University, Kraków, Poland), Gliga Diana S. (Independent Scholar), Gooriah Leana (German Centre for Integrative Biodiversity Research (iDiv), Leipzig, Germany), Gruber Michael (Unit of Veterinary Public Health and Epidemiology, University of Veterinary Medicine Vienna), Grzymała-Moszczyńska Joanna (Institute of Psychology, Jagiellonian University, Kraków, Poland), Jurczak Ania (Institute of Psychology, Jagiellonian University, Kraków, Poland), Haberfellner Simon (Independent Scholar), Hadziavdic Lamija (Independent Scholar), Haug Nils (Section for Science of Complex Systems, Medical University of Vienna / Complexity Science Hub Vienna, Austria), Holder Samantha (Independent Scholar), Korbel Jan (Section for Science of Complex Systems, Medical University of Vienna / Complexity Science Hub Vienna, Austria), Lasser Jana (Section for Science of Complex Systems, Medical University of Vienna / Complexity Science Hub Vienna, Austria), Lederhilger Diana (Independent Scholar), Niederkrotenthaler Thomas (Unit Suicide Research & Mental Health Promotion, Medical University of Vienna, Austria / Complexity Science Hub Vienna, Austria), Pacheco Andrea (German Centre for Integrative Biodiversity Research (iDiv), Leipzig, Germany), Pocasangre-Orellana Xochilt María (Fundación Naturaleza El Salvador), Reddish Jenny (Seshat: The Global History Databank / Complexity Science Hub Vienna, Austria), Reisch Viktoria (Independent Scholar), Roux Alexandra (CERMES3, Ecole des Hautes Etudes en Sciences Sociales, Villejuif / Gender, Sexuality, Health, CESP, INSERM, Paris-Saclay University, Villejuif, France), Schueller William (Complexity Science Hub Vienna, Austria), Sorger Johannes (Complexity Science Hub Vienna, Austria), Stangl Johannes (Independent Scholar), Stoeger Laura (Complexity Science Hub Vienna, Austria), Takriti Huda (Complexity Science Hub Vienna, Austria), Ten Alexandr (Flowers project-team, National Research Institute for Digital Sciences (INRIA), Talence, France), Thurner Stefan (Section for Science of Complex Systems, Medical University of Vienna / Santa Fe Institute, Santa Fe, USA / Complexity Science Hub Vienna, Austria), Vierlinger Rainer (Independent Scholar).