248,576 rated or chosen profiles from 15,536 respondents, in up to 8 tasks of 2 profiles varying on 5 attributes.

About this table

Description	COVID-19 vaccine prioritisation conjoint: 15,536 adults in 13 countries (late 2020) each chose which of two hypothetical people should get the vaccine immediately in 8 tasks, profiles varying COVID-19 death risk, transmission risk, income, occupation and age; forced choice.
Reference	Duch, R., Roope, L. S. J., Violato, M., Fuentes Becerra, M., Robinson, T. S., Bonnefon, J.-F., Friedman, J., Loewen, P. J., Mamidi, P., Melegaro, A., Blanco, M., Vargas, J., Seither, J., Candio, P., Gibertoni Cruz, A., Hua, X., Barnett, A., & Clarke, P. M. (2021). Citizens from 13 countries share similar preferences for COVID-19 vaccine allocation priorities. Proceedings of the National Academy of Sciences, 118(38), e2026382118.
DOI	10.1073/pnas.2026382118
Licence	CC0 1.0
Source data	https://doi.org/10.7910/DVN/PMV0TG

Notes

Conjoint table (irw_conjoint). Outcome: "Which of the Persons do you think should get the vaccine immediately? Select one of them." (UK questionnaire), Person A / Person B, forced choice, no opt-out; the 1-7 priority ratings were asked but are not deposited. 13 countries pooled (cov_country); levels stored in English, other display languages undocumented. cov_survey_weight is 1 throughout Canada, Spain, Uganda and India.

These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.

Size and shape

Respondents	15,536
Rows (one per respondent, task and profile)	248,576
Tasks per respondent (most)	8
Profiles per task	2
Attributes	5
Tasks with no profile chosen	0

Design

Topic	health covid
A profile represents	person
Country	AU, BR, CA, CL, CN, CO, FR, IN, IT, ES, UG, GB, US
Language shown	unknown
Language of stored levels	en
Randomization restrictions	unknown
Task order	recorded in the deposit
Profile position	recorded in the deposit

Outcomes:

choice	Which of the Persons do you think should get the vaccine immediately? Select one of them. [choice, forced]

Columns

attr_ageattr_incomeattr_occupationattr_transmissionattr_vulnerabilitychoicecov_agecov_countrycov_education_relativecov_gendercov_ideologycov_incomecov_mandatory_vaccinecov_pay_privatelycov_side_effect_concerncov_survey_weightcov_vaccine_accessidprofiletask

The layout (one row per respondent, task and profile; choice/rating outcomes; attr_ columns holding each attribute level as displayed) is defined in the IRW conjoint standard. What the outcomes asked is under Design above.

Get the data

Download CSVno account needed Browse on Redivisexplore and query Croissant metadataHugging Face, Kaggle, OpenML

Or load it directly in R or Python (both need a free Redivis account; the first call opens a browser to sign in):

# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("duch_2021_vaccine_priority", source = "conj")

# Python
pip install irw

import irw
df = irw.fetch("duch_2021_vaccine_priority", source="conj")

How to cite

@article{Duch_2021, title={Citizens from 13 countries share similar preferences for COVID-19 vaccine allocation priorities}, volume={118}, ISSN={1091-6490}, url={http://dx.doi.org/10.1073/pnas.2026382118}, DOI={10.1073/pnas.2026382118}, number={38}, journal={Proceedings of the National Academy of Sciences}, publisher={National Academy of Sciences}, author={Duch, Raymond and Roope, Laurence S. J. and Violato, Mara and Fuentes Becerra, Matias and Robinson, Thomas S. and Bonnefon, Jean-Francois and Friedman, Jorge and Loewen, Peter John and Mamidi, Pavan and Melegaro, Alessia and Blanco, Mariana and Vargas, Juan and Seither, Julia and Candio, Paolo and Gibertoni Cruz, Ana and Hua, Xinyang and Barnett, Adrian and Clarke, Philip M.}, year={2021}, month=Sept }

Version and provenance

IRW version	v584
Redivis dataset	irw_conjoint v4.2
Redivis dataset DOI	10.57761/qkye-q530
Manifest pin for this IRW version	v4.2
Metadata source	irw_meta v44.0