Passing the message: Peer outreach about COVID-19 precautions in Zambia
Alfredo Burlando,
Pradeep Chintagunta,
Jessica Goldberg,
Melissa Graboyes,
Peter Hangoma,
Dean Karlan,
Mario Macis and
Silvia Prina
Journal of Development Economics, 2024, vol. 171, issue C
Abstract:
During public health emergencies, spreading accurate information and increasing adherence to recommended behaviors is critical for communal welfare. However, uncertainty, mistrust, and misinformation can slow the adoption of best practices. Preexisting social networks can amplify and endorse information from authorities, and technology makes peer-to-peer messaging scalable and fast. Using text messages and small cash incentives, we test a peer-based information campaign to encourage adherence to recommended COVID-19-related health behaviors in Zambia. None of the treatments affected health behavior among primary study participants or their peers. The suggestion to pass messages to peers increases dissemination, but financial incentives do not have any additional impact.
Keywords: COVID-19; Social networks; SMS; Incentives; Zambia; Health (search for similar items in EconPapers)
JEL-codes: I1 O1 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0304387824000671
Full text for ScienceDirect subscribers only
Related works:
Working Paper: Passing the Message: Peer Outreach about COVID-19 Precautions in Zambia (2022) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:deveco:v:171:y:2024:i:c:s0304387824000671
DOI: 10.1016/j.jdeveco.2024.103318
Access Statistics for this article
Journal of Development Economics is currently edited by M. R. Rosenzweig
More articles in Journal of Development Economics from Elsevier
Bibliographic data for series maintained by Catherine Liu ().