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

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Title: Assessing Associations Between COVID-19 Symptomology and Adverse Outcomes After Piloting Crowdsourced Data Collection: Cross-sectional Survey Study.
Authors: Flaks-Manov, Natalie1, Bai, Jiawei2, Zhang, Cindy3, Malpani, Anand3, Ray, Stuart C.1, Taylor, Casey Overby1, cot@jhu.edu
Source: JMIR Formative Research; Dec2022, Vol. 6 Issue 12, p1-15, 15p
Database: Applied Science & Technology Source
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DbLabel: Applied Science & Technology Source
An: 161591969
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PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Assessing Associations Between COVID-19 Symptomology and Adverse Outcomes After Piloting Crowdsourced Data Collection: Cross-sectional Survey Study.
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  Data: <searchLink fieldCode="JN" term="%22JMIR+Formative+Research%22">JMIR Formative Research</searchLink>; Dec2022, Vol. 6 Issue 12, p1-15, 15p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=161591969
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        Value: 10.2196/37507
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        Text: English
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            NameFull: Bai, Jiawei
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            – D: 01
              M: 12
              Text: Dec2022
              Type: published
              Y: 2022
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