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Other literature type . 2021
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Crowdsourcing Long COVID Sweden (CiLC-S): Exploring Digital Methods and Voluntary Health Data for Research and Response in Social Crises

Authors: Johansson, Veronica; Wänström, Linda; Ramme, Kim; Kallio, Sakari; Yousefi Mojir, Kayvan;

Crowdsourcing Long COVID Sweden (CiLC-S): Exploring Digital Methods and Voluntary Health Data for Research and Response in Social Crises

Abstract

We describe in this extended abstract the emergent, multi-disciplinary research project CiLC-S – Crowdsourcing Long COVID Sweden. The information science related part of the project aims to explore i) information needs and strategies of persons afflicted by long term health problems after a COVID-19 infection, and ii) alternative digital methods for inclusive, safe and efficient data collection for research and social response in the COVID-19 pandemic. The purpose of this presentation is to introduce the project and share some early ethical and methodological experiences as a foundation for discussions of current and future possibilities for information science research to respond to individual and societal information needs in the COVID-19 pandemic and similar large-scale social crises through innovative research questions and data collection methods.

Keywords

COVID-19, data, information needs, information strategies

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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