Abstract
We present the design of a project to develop Wikipedia content on general vaccine safety and the COVID-19 vaccines, specifically. This proposal describes what a team would need to distribute public health information in Wikipedia in multiple languages in response to a disaster or crisis, and to measure and report the communication impact of the same. Researchers at the School of Data Science at the University of Virginia made this proposal in response to a February 2021 call from a sponsor which was seeking to share public health information to respond globally to vaccine hesitancy related to the COVID-19 vaccines. This proposal was not selected for funding, and now the research team is sharing the proposal here with an open copyright license for anyone to reuse and remix. Most of the text here is from the original proposal, but there are modifications to remove the names of the funder, named partners, and for other details to make this text more reusable. The budget in this proposal has been converted from a dollar amount to equivalent descriptions in terms of labor hours, and the timeline was adapted from absolute to relative months.
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Preprint
ARPHA Preprints
https://doi.org/10.3897/arphapreprints.e70280 (17 Jun 2021)
https://doi.org/10.3897/arphapreprints.e70280 (17 Jun 2021)
Published in: Research Ideas and Outcomes https://doi.org/10.3897/rio.7.e70042
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ARPHA Preprints
doi:
10.3897/arphapreprints.e70280
First posted
17 Jun 2021
Authors
Lane Rasberry
- Corresponding author
School of Data Science, University of Virginia, Charlottesville, United States of America
Daniel Mietchen
- Corresponding author
EvoMRI Communications, Jena, Germany
University of Virginia, Charlottesville, United States of America
Data Science Institute, University of Virginia, Charlottesville, United States of America
Conflict of interest
The authors have declared that no competing interests exist.
This is an open access preprint distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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