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Assessing Associations Between COVID-19 Symptomology and Adverse Outcomes After Piloting Crowdsource...

Assessing Associations Between COVID-19 Symptomology and Adverse Outcomes After Piloting Crowdsource...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_ad4f286bbc6d4ce7a4e2f53dee1a5aca

Assessing Associations Between COVID-19 Symptomology and Adverse Outcomes After Piloting Crowdsourced Data Collection: Cross-sectional Survey Study

About this item

Full title

Assessing Associations Between COVID-19 Symptomology and Adverse Outcomes After Piloting Crowdsourced Data Collection: Cross-sectional Survey Study

Publisher

Canada: JMIR Publications

Journal title

JMIR formative research, 2022-12, Vol.6 (12), p.e37507

Language

English

Formats

Publication information

Publisher

Canada: JMIR Publications

More information

Scope and Contents

Contents

Crowdsourcing is a useful way to rapidly collect information on COVID-19 symptoms. However, there are potential biases and data quality issues given the population that chooses to participate in crowdsourcing activities and the common strategies used to screen participants based on their previous experience.
The study aimed to (1) build a pipeli...

Alternative Titles

Full title

Assessing Associations Between COVID-19 Symptomology and Adverse Outcomes After Piloting Crowdsourced Data Collection: Cross-sectional Survey Study

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_ad4f286bbc6d4ce7a4e2f53dee1a5aca

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_ad4f286bbc6d4ce7a4e2f53dee1a5aca

Other Identifiers

ISSN

2561-326X

E-ISSN

2561-326X

DOI

10.2196/37507

How to access this item