Scarce Resources in Times of a Pandemic

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Trčka, Michal; Žabka, Vratislav, 2026, "Scarce Resources in Times of a Pandemic", https://doi.org/10.14473/CSDA/GEL0LU, CSDA, V1

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Description	This dataset contains data from an online interactive experimental survey conducted during the COVID-19 pandemic, focusing on public attitudes towards epidemic countermeasures, the distribution of protective equipment, and ethical decision-making in the allocation of scarce healthcare resources. The survey employed a range of tasks and stimuli, including: assessment of schematic face drawings for perceived infection risk and respiratory protection use; ranking of non-pharmacological epidemic measures by perceived effectiveness; ethical evaluation of price increases on scarce protective goods; selection of population groups with priority entitlement to publicly funded respirators; ten forced-choice triage scenarios involving patient prioritization; and ethical assessment of two policies for allocating ventilators. Additional demographic and background data were collected, including political orientation, religiosity, pandemic experience, compliance with measures, and volunteer activity. Upon completion, participants gained access to an online application allowing them to compare selected responses with those of other participants. Participation was voluntary, online, and anonymous. The dataset comprises quantitative data from a Czech population sample and is suitable for analyses of public moral reasoning, risk perception, and distributive justice in health crises. " The dataset contains 1,167 valid respondents (out of 1,255 in the raw export; 1,185 eligible). (2026-07)
Subject	Social Sciences
Keyword	public health, ethics, risk, COVID-19, health services, health ethics, epidemic, resources allocation, distributive justice
License/Data Use Agreement	CC BY 4.0

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	.here Unknown - 56 B Published Sep 24, 2026 0 Downloads MD5: fc99048b1590f174bf1df987e54c3f14 This file marks the data-package root for here	Access File File Access Public Download Options Original File Format Download Metadata Data File Citation Download EndNote XML Download RIS Download BibTeX
	codebook.md Markdown Text - 40.5 KB Published Sep 24, 2026 1 Download MD5: 396e5e9834435c8889099476820061d7 Codebook	Access File File Access Public Download Options Markdown Text Download Metadata Data File Citation Download EndNote XML Download RIS Download BibTeX
	data.zip ZIP Archive - 8.7 MB Published Sep 24, 2026 1 Download MD5: 9ce14ed5e6c3bbfb9dd92b0700bfc8e6 Data files Data	Preview "data.zip" Access File File Access Public Download Options ZIP Archive Download Metadata Data File Citation Download EndNote XML Download RIS Download BibTeX
	LICENSE Plain Text - 2.0 KB Published Sep 24, 2026 0 Downloads MD5: ef8a96b663af5a51a2bb2e9903495226 License	Access File File Access Public Download Options Plain Text Download Metadata Data File Citation Download EndNote XML Download RIS Download BibTeX
	notebooks.zip ZIP Archive - 11.6 KB Published Sep 24, 2026 0 Downloads MD5: 8d0f41119e36f17f9e5a75169e2f1b33 Reproducible R Markdown example analyses (source) Documentation	Preview "notebooks.zip" Access File File Access Public Download Options ZIP Archive Download Metadata Data File Citation Download EndNote XML Download RIS Download BibTeX
	outputs.zip ZIP Archive - 856.3 KB Published Sep 24, 2026 0 Downloads MD5: d6647063986dd581ee9fc44c80fd1e50 The notebooks rendered to self-contained HTML open these to read the analyses without running R Documentation	Preview "outputs.zip" Access File File Access Public Download Options ZIP Archive Download Metadata Data File Citation Download EndNote XML Download RIS Download BibTeX
	preparation.zip ZIP Archive - 30.3 KB Published Sep 24, 2026 0 Downloads MD5: 45d900c2e94a885000ef9c2ff3ebb193 The raw→processed preparation pipeline (R code + method notes), for transparency; see its README — it requires the authors' raw microdata, which is not part of this public deposit CodeDocumentation	Preview "preparation.zip" Access File File Access Public Download Options ZIP Archive Download Metadata Data File Citation Download EndNote XML Download RIS Download BibTeX
	README.md Markdown Text - 8.6 KB Published Sep 24, 2026 1 Download MD5: f8b3eae3f0a84e49499a94d29d440d3d Description of the data structure, supporting documentation, and procedures for working with the data via the attached scripts	Access File File Access Public Download Options Markdown Text Download Metadata Data File Citation Download EndNote XML Download RIS Download BibTeX
	load_data.R R/R Syntax - 3.4 KB Published Sep 24, 2026 0 Downloads MD5: 84a0c184405443bbc8b94ef85f990491 R code - reads data/processed/*.csv into a named list and attaches English labels from data/items/ Code	Preview "R/load_data.R" Access File File Access Public Download Options R Syntax Download Metadata Data File Citation Download EndNote XML Download RIS Download BibTeX

Citation Metadata

Persistent Identifier	doi:10.14473/CSDA/GEL0LU
Publication Date	2026-09-24
Title	Scarce Resources in Times of a Pandemic
Alternative Title	Etika rozdělování nedostatkových zdrojů v době pandemie
Author	Trčka, Michal (Technical University of Liberec) - ORCID: 0000-0003-4846-7630 Žabka, Vratislav (Technical University of Liberec) - ORCID: 0000-0001-7161-3152
Point of Contact	Use email button above to contact. Czech Social Science Data Archive (Institute of Sociology of the Czech Academy of Sciences)
Description	This dataset contains data from an online interactive experimental survey conducted during the COVID-19 pandemic, focusing on public attitudes towards epidemic countermeasures, the distribution of protective equipment, and ethical decision-making in the allocation of scarce healthcare resources. The survey employed a range of tasks and stimuli, including: assessment of schematic face drawings for perceived infection risk and respiratory protection use; ranking of non-pharmacological epidemic measures by perceived effectiveness; ethical evaluation of price increases on scarce protective goods; selection of population groups with priority entitlement to publicly funded respirators; ten forced-choice triage scenarios involving patient prioritization; and ethical assessment of two policies for allocating ventilators. Additional demographic and background data were collected, including political orientation, religiosity, pandemic experience, compliance with measures, and volunteer activity. Upon completion, participants gained access to an online application allowing them to compare selected responses with those of other participants. Participation was voluntary, online, and anonymous. The dataset comprises quantitative data from a Czech population sample and is suitable for analyses of public moral reasoning, risk perception, and distributive justice in health crises. " The dataset contains 1,167 valid respondents (out of 1,255 in the raw export; 1,185 eligible). (2026-07)
Subject	Social Sciences
Keyword	public health https://elsst.cessda.eu/id/6/2884bafb-6782-421d-982d-84684d718745 (ELSST) https://elsst.cessda.eu/id ethics https://elsst.cessda.eu/id/6/a80484f0-51cd-4730-b544-1465510f7f8e (ELSST) https://elsst.cessda.eu/id risk https://elsst.cessda.eu/id/6/690824b6-2661-46c3-9ebb-3227e6725bd3 (ELSST) https://elsst.cessda.eu/id COVID-19 https://elsst.cessda.eu/id/6/cada7016-ff7b-4b45-b9d5-420f04088b63 (ELSST) https://elsst.cessda.eu/id health services https://elsst.cessda.eu/id/6/38854495-5f8e-4a5f-aed7-8819d1b14473 (ELSST) https://elsst.cessda.eu/id health ethics epidemic resources allocation distributive justice
Topic Classification	Public health (CESSDA Topic Classification) https://vocabularies.cessda.eu/vocabulary/TopicClassification Medication and treatment (CESSDA Topic Classification) https://vocabularies.cessda.eu/vocabulary/TopicClassification
Language	Czech; English
Producer	Technical University of Liberec (TUL) https://www.tul.cz/
Production Date	2021-12
Funding Information	AV CR - Programmes of Strategy AV21: Resilient Society for 21st Century: Crisis Potentials and Effective Transformation
Distributor	Czech Social Science Data Archive (Institute of Sociology of the Czech Academy of Sciences) https://archiv.soc.cas.cz/en
Distribution Date	2026
Depositor	Technical University of Liberec
Deposit Date	2026-07
Date of Collection	Start Date: 2021-03-18; End Date: 2021-06-10
Data Type	survey data
Software	R
Related Material	The companion Shiny application is archived separately on Zenodo under the MIT license: conceptual DOI 10.5281/zenodo.21538366, which always resolves to the current version (at present v1.0.1, 10.5281/zenodo.22125479)
Characteristic of Sources	Anonymisation process: No direct identifiers. No names, e-mail addresses, phone numbers, postal addresses, or IP addresses were collected or are present. The `id` column is an opaque, internally generated code with no key to any real person in this deposit. Free-text review and redaction. Every free-text field (profession / religion / volunteering write-ins, the Q5 "other group" write-in, and the end-of-survey comments) was passed through an automatic anonymization pass (e-mail/URL/phone regexes plus a committed substring map) and then a manual two-pass review; cells naming a rare re-identifying office, institution, or place were replaced with `[redacted]`. Comments are published as the anonymized Czech original (`comment_text`) plus an English machine translation (`comment_text_en`) so each comment is readable in both languages; the translation is automatic and not human-verified, and the Czech text is authoritative. The comments were reviewed line by line and their publication in this anonymized form was approved by the study's corresponding author; only that reviewed version is included here (no raw comment text). Disclosure control of quasi-identifiers. `age` is top-coded (≥70 → `70+`, ≤15 → `<16`); the Q2/Q6 absolute completion timestamps are published as elapsed `response_time_sec` (per set / per trial) rather than wall-clock time. Analyses needing exact age or absolute timestamps cannot be reproduced from this public file by design. See `codebook.md` → "Disclosure control & anonymization".

Geospatial Metadata

Geographic Coverage	Czech Republic

Social Science and Humanities Metadata

Unit of Analysis	Individual
Universe	Adult internet population of the Czech Republic (self-selected online sample)
Time Method	Cross sectional
Data Collector	Authors
Collector Training	Not relevant
Sampling Procedure	The respondents were recruited through voluntary participation via online communication
Target Sample Size	1167
Collection Mode	Online
Type of Research Instrument	Standardized questionnaire.

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