Literature DB >> 32294248

Improving communication about COVID-19 and emerging infectious diseases.

Kathryn H Jacobsen1, Emily K Vraga2.   

Abstract

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Year:  2020        PMID: 32294248      PMCID: PMC7235512          DOI: 10.1111/eci.13225

Source DB:  PubMed          Journal:  Eur J Clin Invest        ISSN: 0014-2972            Impact factor:   4.686


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John Ioannidis writes about the harm caused by misinformation about COVID‐19. We draw from communication research to offer best practices for reducing misinformation, disseminating accurate health information and promoting prevention and control recommendations. We recommend three strategies that medical, public health and scientific professionals working with government officials, clinicians, media commentators and in other contexts around the world can use to improve communication about outbreaks. First, we can acknowledge uncertainty. Public trust is damaged when health authorities are perceived to have inappropriately downplayed the true risk posed by a dangerous pathogen or, alternatively, to have caused undue panic by overstating a potential threat. Honesty about what is known and what is not known at each stage of an epidemic is a critical component of transparency. For example, model‐based projections about how epidemics might expand should be reported as likely ranges of mild‐to‐severe events rather than just presenting best‐ or worst‐case scenarios. Second, we can contextualize statistics. Most people find it difficult to estimate personal risk based on population‐level data, especially for relatively unlikely occurrences. One way to mitigate excessive anxiety related to rising case counts is to pair discussion of personal, community or national risk with recommendations about concrete, evidence‐based actions that reduce risk. These suggestions should be specific to the disease of concern, and the recommendations should be updated as more scientific evidence becomes available. Third, we can resist misinformation. Uncertainty breeds rumours and confusion, and social media platforms offer a fertile space for misinformation to be generated and disseminated. Accurate information provided by trusted clinicians and scientists can help mitigate the spread of misinformation that is damaging to public health. Health communication specialists may be able to directly counter prominent false narratives while promoting reliable sources of health information. Health professionals who are not trained on methods for combatting misinformation can, at minimum, refrain from propagating it. Effective communication about public health is a challenge even without the heightened fear levels that occur when new diseases like COVID‐19 emerge. Even when messaging about a health security threat is constrained by politics, media practices and other limiters, the three guidelines above can still be applied in communications with the public, the media and other audiences. Acknowledging uncertainty, contextualizing statistics and resisting misinformation will improve communication about emerging infectious diseases from the initial crisis through the resolution of the event.

CONFLICTS OF INTEREST

None to declare.
  3 in total

1.  Transparency during public health emergencies: from rhetoric to reality.

Authors:  P O'Malley; J Rainford; A Thompson
Journal:  Bull World Health Organ       Date:  2009-08       Impact factor: 9.408

Review 2.  Risk communication in clinical practice: putting cancer in context.

Authors:  L M Schwartz; S Woloshin; H G Welch
Journal:  J Natl Cancer Inst Monogr       Date:  1999

3.  Coronavirus disease 2019: The harms of exaggerated information and non-evidence-based measures.

Authors:  John P A Ioannidis
Journal:  Eur J Clin Invest       Date:  2020-04       Impact factor: 4.686

  3 in total
  9 in total

1.  Secure Messaging and COVID-19: A Content Analysis of Patient-Clinician Communication During the Pandemic.

Authors:  Jordan M Alpert; Gemme Campbell-Salome; Cayle Gao; Merry Jennifer Markham; Martina Murphy; Christopher A Harle; Samantha R Paige; Till Krenz; Carma L Bylund
Journal:  Telemed J E Health       Date:  2021-11-11       Impact factor: 5.033

2.  Social Media, Public Health, and Community Mitigation of COVID-19: Challenges, Risks, and Benefits.

Authors:  Corey H Basch; Charles E Basch; Grace C Hillyer; Zoe C Meleo-Erwin
Journal:  J Med Internet Res       Date:  2022-04-12       Impact factor: 5.428

3.  Communicating scientific uncertainty in a rapidly evolving situation: a framing analysis of Canadian coverage in early days of COVID-19.

Authors:  Gabriela Capurro; Cynthia G Jardine; Jordan Tustin; Michelle Driedger
Journal:  BMC Public Health       Date:  2021-11-29       Impact factor: 3.295

4.  Contested solidarity and vulnerability in social media-based public responses to COVID-19 policies of mobility restrictions in Singapore: a qualitative analysis of temporal evolution.

Authors:  Val Alvern Cueco Ligo; Huso Yi; Cheng Mun Chang
Journal:  BMC Public Health       Date:  2021-12-08       Impact factor: 3.295

5.  Tracing open data in emergencies: The case of the COVID-19 pandemic.

Authors:  Konstantinos Gkiouras; Meletios P Nigdelis; Maria G Grammatikopoulou; Dimitrios G Goulis
Journal:  Eur J Clin Invest       Date:  2020-07-22       Impact factor: 5.722

6.  SARS-CoV-2 outbreak and lockdown in a Northern Italy hospital. Comparison with Scandinavian no-lockdown country.

Authors:  Federico Carbone; Fabrizio Montecucco
Journal:  Eur J Clin Invest       Date:  2020-06-07       Impact factor: 5.722

7.  Optimizing peer review to minimize the risk of retracting COVID-19-related literature.

Authors:  Jaime A Teixeira da Silva; Helmar Bornemann-Cimenti; Panagiotis Tsigaris
Journal:  Med Health Care Philos       Date:  2020-11-20

8.  Public Health and Risk Communication During COVID-19-Enhancing Psychological Needs to Promote Sustainable Behavior Change.

Authors:  Talya Porat; Rune Nyrup; Rafael A Calvo; Priya Paudyal; Elizabeth Ford
Journal:  Front Public Health       Date:  2020-10-27

9.  Health Perceptions and Misconceptions Regarding COVID-19 in China: Online Survey Study.

Authors:  Jiawei Zhou; Bishwajit Ghose; Ruoxi Wang; Ruijun Wu; Zhifei Li; Rui Huang; Da Feng; Zhanchun Feng; Shangfeng Tang
Journal:  J Med Internet Res       Date:  2020-11-02       Impact factor: 7.076

  9 in total

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