During the COVID-19 pandemic, low- and middle-income countries (LMICs) struggled with lower vaccination rates compared to wealthier countries, posing challenges to reducing virus transmission,
mitigating healthcare system pressures, and promoting economic recovery. Communications campaigns offer low-cost opportunities to overcome such challenges by strengthening vaccine confidence and intentions to get vaccinated, but empirical testing is needed to identify which messages will be most effective in different contexts. To support policymaking efforts to rapidly design effective communication during the pandemic, a global research program of 28 online experiments was conducted by recruiting respondents (N = 123,270) through social media between January 2021 and June 2022 across 23 mostly low and middle-income countries and territories. This individual participant data meta-analysis summarizes the results of this research program testing the impact of behaviorally informed messaging on vaccine intentions. Results from the meta-analysis show that, among unvaccinated survey respondents, behaviorally informed messages significantly increased the odds of vaccination intention by 1.28 times overall and up to 1.93 times in individual studies (safety messages in Papua New Guinea). Significant pooled effects of specific framings ranged from increasing vaccination intentions by 1.16 times (variant framing) to 1.45 times (experts and religious leaders framing). This research underscores the importance of communication tailored to address different drivers of vaccine hesitancy and offers insights for handling future health crises with behavioral communication strategies leveraging rapid insights afforded by social media.
Repository name | URI |
---|---|
Reproducible Research Repository (World Bank) | https://reproducibility.worldbank.org |
Paper exhibits were reproduced on a computer with the following specifications:
• OS: Windows 10 Enterprise
• Processor: Intel(R) Xeon(R) Gold 6226R CPU @ 2.90GHz 2.90 GHz (2 processors)
• Memory available: 32 GB
• Software version: Stata version 18
~60 minutes runtime
The data used in this study is confidential and cannot be shared publicly, nor is there a standard procedure available for acquiring it. As a result, reproducing the study's results may be challenging. For more details on how a replicator might gain access to the data, please refer to the README file. This package includes detailed code and a comprehensive reproducibility report that outlines the analytical processes used by the authors. These resources are intended to help replicators understand and evaluate the methodologies employed, even though independent verification of the exact results is not possible due to data access restrictions.
All data is confidential and has not been included in the reproducibility package.
Author | Affiliation | |
---|---|---|
Daniel Pinzon | World Bank | dpinzonhernandez@worldbank.org |
Mohamad Chatila | World Bank | mchatila@worldbank.org |
JungKyu Rhys Lim | World Bank | rhyslim@worldbank.org |
Michelle Dugas | World Bank | mdugas@worldbank.org |
2024-07
Location | Code |
---|---|
World | WLD |
The materials in the reproducibility packages are distributed as they were prepared by the staff of the International Bank for Reconstruction and Development/The World Bank. The findings, interpretations, and conclusions expressed in this event do not necessarily reflect the views of the World Bank, the Executive Directors of the World Bank, or the governments they represent. The World Bank does not guarantee the accuracy of the materials included in the reproducibility package.
Name | URI |
---|---|
MIT | https://opensource.org/license/MIT |
Name | Affiliation | |
---|---|---|
Daniel Pinzon | World Bank | dpinzonhernandez@worldbank.org |
Rhys Lim | World Bank | rhyslim@worldbank.org |
Reproducibility WBG | World Bank | reproducibility@worldbank.org |
Name | Abbreviation | Affiliation | Role |
---|---|---|---|
Reproducibility WBG | DIME | World Bank - Development Impact Department | Verification and preparation of metadata |
2024-07-30
1