Replication Data for: Evaluating COVID-19 Public Health Messaging in Italy: Self-Reported Compliance and Growing Mental Health Concerns (doi:10.7910/DVN/1SBQCX)

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Part 1: Document Description
Part 2: Study Description
Part 3: Data Files Description
Part 4: Variable Description
Part 5: Other Study-Related Materials
Entire Codebook

Replication Data for: Evaluating COVID-19 Public Health Messaging in Italy: Self-Reported Compliance and Growing Mental Health Concerns

doi:10.7910/DVN/1SBQCX

Harvard Dataverse

2020-03-25

3

Barari, Soubhik; Caria, Stefano; Davola, Antonio; Falco, Paolo; Fetzer, Thiemo; Fiorin, Stefano; Hensel, Lukas; Ivchenko, Andriy; Jachimowicz, Jon; King, Gary; Kraft-Todd, Gordon; Ledda, Alice; MacLennan, Mary; Mutoi, Lucian; Pagani, Claudio; Reutskaja, Elena; Roth, Christopher; Slepoi, Federico Raimondi, 2020, "Replication Data for: Evaluating COVID-19 Public Health Messaging in Italy: Self-Reported Compliance and Growing Mental Health Concerns", https://doi.org/10.7910/DVN/1SBQCX, Harvard Dataverse, V3, UNF:6:3t6Wk/r71T1+09TffFwqpw== [fileUNF]

Replication Data for: Evaluating COVID-19 Public Health Messaging in Italy: Self-Reported Compliance and Growing Mental Health Concerns

doi:10.7910/DVN/1SBQCX

Barari, Soubhik (Harvard University)

Caria, Stefano (University of Bristol)

Davola, Antonio (Luiss Guido Carli University)

Falco, Paolo (University ofCopenhagen)

Fetzer, Thiemo (Universityof Warwick)

Fiorin, Stefano (University of California, San Diego)

Hensel, Lukas (University of Oxford)

Ivchenko, Andriy (Expilab)

Jachimowicz, Jon (Harvard Business School)

King, Gary (Harvard University)

Kraft-Todd, Gordon (Boston College)

Ledda, Alice (Imperial College London)

MacLennan, Mary (London School of Economics)

Mutoi, Lucian (University of Stirling)

Pagani, Claudio (Data Rebel Consulting)

Reutskaja, Elena (IESE Business School)

Roth, Christopher (University of Warwick)

Slepoi, Federico Raimondi (City of Rome)

Harvard Dataverse

Barari, Soubhik

Barari, Soubhik

2020-03-25

https://doi.org/10.7910/DVN/1SBQCX

Social Sciences, COVID-19, Public Opinion, Behavioral Science, Survey Research

<b><strong>Purpose:</strong></b> The COVID-19 death-rate in Italy continues to climb, surpassing that in every other country. We implement one of the first nationally representative surveys about this unprecedented public health crisis and use it to evaluate the Italian government’ public health efforts and citizen responses.<br><br> <b><strong>Findings:</strong></b> (1) Public health messaging is being heard. Except for slightly lower compliance among young adults, ​all subgroups we studied understand how to keep themselves and others safe from the SARS-Cov-2 virus. Remarkably, even those who do ​not trust the government​, or ​think the government has been untruthful a​ bout the crisis believe the messaging and claim to be acting in accordance. (2) The quarantine is beginning to have serious negative effects on the population’s mental health.<br><br> <b><strong>Policy Recommendations:</strong></b> ​Communications should move from explaining to citizens that they should stay at home to what they can do there. We need interventions that make staying following public health protocols more desirable, such as virtual social interactions, online social reading activities, classes, exercise routines, etc. — all designed to reduce the boredom of long term social isolation and to increase the attractiveness of following public health recommendations. Interventions like these will grow in importance as the crisis wears on around the world, and staying inside wears on people.

<a href="http://creativecommons.org/publicdomain/zero/1.0">CC0 1.0</a>

Soubhik Barari, Stefano Caria, Antonio Davola, Paolo Falco, Stefano Fiorin, Lukas Hensel, Andriy Ivchenko, Jon Jachimowicz, Gary King, Gordon Kraft-Todd, Alice Ledda, Mary MacLennan, Lucian Mutoi, Claudio Pagani, Elena Reutskaja, Christopher Roth, and Federico Raimondi Slepoi. "Evaluating COVID-19 Public Health Messaging in Italy: Self-Reported Compliance and Growing Mental Health Concerns," Copy at <strong><a href="https://garyking.org/covid-italy">GaryKing.org/covid-italy</a></strong>.

Soubhik Barari, Stefano Caria, Antonio Davola, Paolo Falco, Stefano Fiorin, Lukas Hensel, Andriy Ivchenko, Jon Jachimowicz, Gary King, Gordon Kraft-Todd, Alice Ledda, Mary MacLennan, Lucian Mutoi, Claudio Pagani, Elena Reutskaja, Christopher Roth, and Federico Raimondi Slepoi. "Evaluating COVID-19 Public Health Messaging in Italy: Self-Reported Compliance and Growing Mental Health Concerns," Copy at <strong><a href="https://garyking.org/covid-italy">GaryKing.org/covid-italy</a></strong>.

• Number of cases: 3462

• No. of variables per record: 80

• Type of File: text/tab-separated-values

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• StartDate - StartDate
• EndDate - EndDate
• Status - Status
• Progress - Progress
• Duration..in.seconds. - Duration..in.seconds.
• Finished - Finished
• RecordedDate - RecordedDate
• ResponseId - ResponseId
• RecipientLastName - RecipientLastName
• RecipientEmail - RecipientEmail
• ExternalReference - ExternalReference
• LocationLatitude - LocationLatitude
• LocationLongitude - LocationLongitude
• DistributionChannel - DistributionChannel
• UserLanguage - UserLanguage
• Q1 - Q1
• SelfReported_Behavio_1 - SelfReported_Behavio_1
• SelfReported_Behavio_2 - SelfReported_Behavio_2
• SelfReported_Behavio_3 - SelfReported_Behavio_3
• SelfReported_Behavio_4 - SelfReported_Behavio_4
• SelfReported_Behavio_5 - SelfReported_Behavio_5
• Reflection - Reflection
• T2 - T2
• social - social
• handshake - handshake
• stores - stores
• curfew - curfew
• SOB_1 - SOB_1
• SOB_2 - SOB_2
• SOB_3 - SOB_3
• SOB_4 - SOB_4
• financialpunishment - financialpunishment
• Geldstrafe_1_1 - Geldstrafe_1_1
• Geldstrafe_2_1 - Geldstrafe_2_1
• perceivedreaction - perceivedreaction
• Q36 - Q36
• Q37 - Q37
• Q23 - Q23
• perceivedeffectivnes - perceivedeffectivnes
• anxiety_1 - anxiety_1
• anxiety_2 - anxiety_2
• anxiety_3 - anxiety_3
• anxiety_4 - anxiety_4
• anxiety_5 - anxiety_5
• Q24 - Q24
• Q25 - Q25
• Q25_13_TEXT - Q25_13_TEXT
• Q26 - Q26
• Q26_11_TEXT - Q26_11_TEXT
• age - age
• gender - gender
• gender_3_TEXT - gender_3_TEXT
• zipcode - zipcode
• health - health
• health_conditions - health_conditions
• personality_1 - personality_1
• personality_2 - personality_2
• personality_3 - personality_3
• personality_4 - personality_4
• personality_5 - personality_5
• personality_6 - personality_6
• personality_7 - personality_7
• personality_8 - personality_8
• personality_9 - personality_9
• personality_10 - personality_10
• Q27_5 - Q27_5
• Q35 - Q35
• Q62_5 - Q62_5
• Q62_6 - Q62_6
• Q62_7 - Q62_7
• Q62_8 - Q62_8
• Q62_9 - Q62_9
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• Q62_13 - Q62_13
• Q62_14 - Q62_14
• Q62_15 - Q62_15
• rid - rid
• treatment - treatment
• finish - finish

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Label:

00-read_clean_data.R

Text:

Read and clean survey responses.

type/x-r-syntax

Label:

01-analyze_safety_opinion.R

Text:

Analyze population and subgroup opinions about government measures.

type/x-r-syntax

Label:

02-analyze_selfrep_behaviors.R

Text:

Analyze population and subgroup self-reported compliance with health practices in past week.

type/x-r-syntax

Label:

03-analyze_govt_opinion.R

Text:

Analyze skeptical opinion groups.

type/x-r-syntax

Label:

04-analyze_leavehome.R

Text:

Analyze population and subgroup reasons to leave home in next 5 days.

type/x-r-syntax

Label:

05-analyze_stayhome.R

Text:

Analyze population and subgroup cited negative aspects of staying home.

type/x-r-syntax

Label:

06-analyze_anxiety.R

Text:

Analyze population and subgroup anxiety levels.

type/x-r-syntax

Label:

07-analyze_experiment.R

Text:

Analyze results of information treatments.

type/x-r-syntax

Label:

08-analyze_sharing.R

Text:

Analyze who agreed to share the information treatments with friends.

type/x-r-syntax

Label:

covid-italy_survey_ENGLISH.pdf

Text:

Full survey (in English).

application/pdf

Label:

covid-italy_survey_ITALIAN.pdf

Text:

Full survey (translated to Italian - what respondents took).

application/pdf

Label:

mar18_reflections_texts.txt

Text:

A sample of representative treatment response reflections from different subgroups.

text/plain

Label:

README.md

Text:

README for replication codebase.

text/markdown