Communicating uncertainty during public health emergency events: a systematic review
Abstract: To answer the question, "What are the best ways to communicate uncertainties to public audiences, at-risk communities, and stakeholders during public health emergency events?" we conducted a systematic review of published studies, grey literature, and media reports in English and other United Nations (UN) languages: Arabic, Chinese, French, Russian, and Spanish. Almost 11,500 titles and abstracts were scanned of which 46 data-based primary studies were selected, which were classified into four methodological streams: Quantitative-comparison groups; Quantitative-descriptive survey; Qualitative; and Mixed-method and case-study. Study characteristics (study method, country, emergency type, emergency phase, at-risk population) and study findings (in narrative form) were extracted from individual studies. The findings were synthesized within methodological streams and evaluated for certainty and confidence. These within-method findings were next synthesized across methodological streams
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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Online-Ressource
- Language
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Englisch
- Notes
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Veröffentlichungsversion
begutachtet (peer reviewed)
In: Review of Communication Research ; 7 (2019) ; 67-108
- Classification
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Soziale Probleme, Sozialdienste, Versicherungen
- Event
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Veröffentlichung
- (where)
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Mannheim
- (when)
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2019
- Creator
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Sopory, Pradeep
Day, Ashleigh M.
Novak, Julie M.
Eckert, Kristin
Wilkins, Lillian
Padgett, Donyale R.
Noyes, Jane P.
Barakji, Fatima A.
Liu, Juan
Fowler, Beth N.
Guzman-Barcenas, Javier B.
Nagayko, Anna
Nickell, Jacob J.
Donahue, Damecia
Daniels, Kimberly
Allen, Tomas
Alexander, Nyka
Vanderford, Marsha L.
Gamhewage, Gaya M.
- DOI
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10.12840/ISSN.2255-4165.019
- URN
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urn:nbn:de:0168-ssoar-61189-5
- Rights
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Open Access; Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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25.03.2025, 1:51 PM CET
Data provider
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Sopory, Pradeep
- Day, Ashleigh M.
- Novak, Julie M.
- Eckert, Kristin
- Wilkins, Lillian
- Padgett, Donyale R.
- Noyes, Jane P.
- Barakji, Fatima A.
- Liu, Juan
- Fowler, Beth N.
- Guzman-Barcenas, Javier B.
- Nagayko, Anna
- Nickell, Jacob J.
- Donahue, Damecia
- Daniels, Kimberly
- Allen, Tomas
- Alexander, Nyka
- Vanderford, Marsha L.
- Gamhewage, Gaya M.
Time of origin
- 2019