Wikipedia for multilingual COVID-19 vaccine education at scale

Research Ideas and Outcomes ◽

10.3897/rio.7.e70042 ◽

2021 ◽

Vol 7 ◽

Author(s):

Lane Rasberry ◽

Daniel Mietchen

Keyword(s):

Public Health ◽

Health Information ◽

Data Science ◽

Vaccine Safety ◽

Vaccine Hesitancy ◽

University Of Virginia ◽

Original Proposal ◽

Public Health Information ◽

Dollar Amount ◽

The University

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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Public Health Information Network Conference, August 27-29, 2007

PsycEXTRA Dataset ◽

10.1037/e614822007-005 ◽

2007 ◽

Keyword(s):

Public Health ◽

Health Information ◽

Information Network ◽

Public Health Information

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eTick: A Lyme disease surveillance and public health information tool

10.1603/ice.2016.116167 ◽

2016 ◽

Author(s):

Jules Koffi

Keyword(s):

Public Health ◽

Lyme Disease ◽

Health Information ◽

Disease Surveillance ◽

Public Health Information

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Japanese-language videos on YouTube as a source of public health information for COVID-19 (Preprint)

10.2196/preprints.24655 ◽

2020 ◽

Author(s):

Takeo Yasu

Keyword(s):

Public Health ◽

Health Information ◽

Scientific Evidence ◽

The State ◽

Video Content ◽

Sources Of Information ◽

State Of Emergency ◽

Public Health Information ◽

Youtube Videos ◽

Spread Of Infection

BACKGROUND Serious public health problems, such as the COVID-19 pandemic, can cause an infodemic. Sources of information that may cause an infodemic include social networking services; YouTube, which consists of content created and uploaded by individuals, is one such source. OBJECTIVE To survey the content and changes in YouTube videos that present public health information about COVID-19 in Japan. METHODS We surveyed YouTube content regarding public health information pertaining to COVID-19 in Japan. YouTube searches were performed on March 6, 2020 (before the state of emergency), April 14 (during the state of emergency), and May 27 (after the state of emergency was lifted), with 136, 113, and 140 sample videos evaluated, respectively. The main outcome measures were: (1) The total number of views for each video, (2) video content, and (3) the usefulness of the video. RESULTS In the 100 most viewed YouTube videos during the three periods, the number of videos on public health information in March was significantly higher than in May (p = .02). Of the 331 unique videos, 9.1% (n = 30) were released by healthcare professionals. Useful videos providing public health information about the prevention of the spread of infection comprised only 13.0% of the sample but were viewed significantly more often than not useful videos (p = .006). CONCLUSIONS Individuals need to take care when obtaining information from YouTube before or early in a pandemic, during which time scientific evidence is scarce.

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