Replication Data for: Increasing Uptake of Social Distancing during COVID-19: How Machine Learning Strategies Can Lead to Targeted Interventions (doi:10.7910/DVN/RBZONT)

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

Document Description

Citation

Title:

Replication Data for: Increasing Uptake of Social Distancing during COVID-19: How Machine Learning Strategies Can Lead to Targeted Interventions

Identification Number:

doi:10.7910/DVN/RBZONT

Distributor:

Harvard Dataverse

Date of Distribution:

2021-10-26

Version:

1

Bibliographic Citation:

Charles, Grace, 2021, "Replication Data for: Increasing Uptake of Social Distancing during COVID-19: How Machine Learning Strategies Can Lead to Targeted Interventions", https://doi.org/10.7910/DVN/RBZONT, Harvard Dataverse, V1, UNF:6:i9gVTs4DWtjUHZ0Z2BQfag== [fileUNF]

Study Description

Citation

Title:

Replication Data for: Increasing Uptake of Social Distancing during COVID-19: How Machine Learning Strategies Can Lead to Targeted Interventions

Identification Number:

doi:10.7910/DVN/RBZONT

Authoring Entity:

Charles, Grace (Surgo Ventures)

Distributor:

Harvard Dataverse

Access Authority:

Sgaier, Sema

Access Authority:

Huang, Vincent

Depositor:

Charles, Grace

Date of Deposit:

2021-10-25

Holdings Information:

https://doi.org/10.7910/DVN/RBZONT

Study Scope

Keywords:

Medicine, Health and Life Sciences, Social Sciences

Abstract:

Data and code for replication of the Harvard Data Science Review paper " Increasing Uptake of Social Distancing during COVID-19: How Machine Learning Strategies Can Lead to Targeted Interventions"

Methodology and Processing

Sources Statement

Data Access

Notes:

CC0 Waiver

Other Study Description Materials

Related Publications

Citation

Bibliographic Citation:

HDSR: Increasing Uptake of Social Distancing during COVID-19: How Machine Learning Strategies Can Lead to Targeted Interventions

File Description--f5342398

File: Codebook 4_3.tab

  • Number of cases: 5658

  • No. of variables per record: 10

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

Notes:

UNF:6:mMCrZk1GVCR8njjjNf1RBQ==

File Description--f5342772

File: social_distancing_munged.tab

  • Number of cases: 2500

  • No. of variables per record: 59

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

Notes:

UNF:6:nKsADuFDvCqkviw2hH/cvA==

Other Study-Related Materials

Label:

HDSR_social_distancing.R

Text:

R code to replicate analysis

Notes:

type/x-r-syntax

Other Study-Related Materials

Label:

Surgo COVID Social Distancing Survey Instrument FINALv3.docx

Text:

Survey instrument from analysis

Notes:

application/vnd.openxmlformats-officedocument.wordprocessingml.document