Literature DB >> 33585104

Predicting the COVID-19 Pandemic: The Perceptions of Healthcare Workers and the General Public.

Francine Cheese1, Harry Coulton2.   

Abstract

BACKGROUND: Coronavirus Disease 2019 (COVID-19) is a pandemic of significant international concern, requiring decisive government actions with public understanding and subsequent adherence to control the spread. This study investigated the predictions of the public and healthcare workers (HCWs) at an early stage of the United Kingdom (UK) pandemic to assess their understanding of this novel virus and provide a reflection of the information readily available to them at the time.
METHOD: A cross-sectional survey between the 18th and 20th March 2020 of UK adults was conducted via an anonymous 17-question online questionnaire using a snowball sampling technique. Simple descriptive statistics, repeated measures analysis of variance (ANOVA), and unpaired Mann-Whitney t-tests investigated significance at the P<·05 levels.
RESULTS: A total of 823 UK residents responded, of which 12·0% (n=99) were HCWs (doctors and nurses). The primary information sources used by our participants were BBC News, group messaging such as WhatsApp, and NHS England. The majority (38·9%) estimated government-enacted social restrictions would last two to four weeks. Mean best guess of total UK COVID-19 mortality was 1000 to 10,000 deaths, and the majority of participants (77·9%) revealed that they expected their day-to-day lives to be affected for less than six months in total. HCWs consistently estimated greater duration, scale, and impact of COVID-19 than non-healthcare workers (Non-HCWs).
CONCLUSION: Survey respondents greatly underestimated the duration and impact of COVID-19 on their personal and public lives. Non-HCWs made greater underestimates than HCWs. This provides a historical reference and highlights a lack of clear information regarding the pandemic at the time of the survey. There is an ongoing need for effective, realistic, and timely communication between government, front-line clinicians, and the general public to manage expectations of the course of the pandemic and, consequently, increase adherence to public health measures.
Copyright © 2021, Cheese et al.

Entities:  

Keywords:  coronavirus disease 2019; covid-19; covid-19 forecasting; covid-19 pandemic; covid-19 uk; forecasting; healthcare provider; knowledge on covid-19; novel coronavirus; public health and safety

Year:  2021        PMID: 33585104      PMCID: PMC7873778          DOI: 10.7759/cureus.12615

Source DB:  PubMed          Journal:  Cureus        ISSN: 2168-8184


  13 in total

1.  SARS risk perception, knowledge, precautions, and information sources, the Netherlands.

Authors:  Johannes Brug; Arja R Aro; Anke Oenema; Onno de Zwart; Jan Hendrik Richardus; George D Bishop
Journal:  Emerg Infect Dis       Date:  2004-08       Impact factor: 6.883

2.  Confidence in controlling a SARS outbreak: experiences of public health nurses in managing home quarantine measures in Taiwan.

Authors:  Chih-Cheng Hsu; Ted Chen; Mei Chang; Yu-Kang Chang
Journal:  Am J Infect Control       Date:  2006-05       Impact factor: 2.918

3.  COVID-19: Emergency Medicine Physician Empowered to Shape Perspectives on This Public Health Crisis.

Authors:  Christopher Gaeta; Ryan Brennessel
Journal:  Cureus       Date:  2020-04-01

4.  Different impacts of COVID-19-related information sources on public worry: An online survey through social media.

Authors:  Hsing-Ying Ho; Yi-Lung Chen; Cheng-Fang Yen
Journal:  Internet Interv       Date:  2020-10-12

5.  Social media for rapid knowledge dissemination: early experience from the COVID-19 pandemic.

Authors:  A K M Chan; C P Nickson; J W Rudolph; A Lee; G M Joynt
Journal:  Anaesthesia       Date:  2020-03-31       Impact factor: 6.955

Review 6.  Demographic and attitudinal determinants of protective behaviours during a pandemic: a review.

Authors:  Alison Bish; Susan Michie
Journal:  Br J Health Psychol       Date:  2010-01-28

Review 7.  How to improve adherence with quarantine: rapid review of the evidence.

Authors:  R K Webster; S K Brooks; L E Smith; L Woodland; S Wessely; G J Rubin
Journal:  Public Health       Date:  2020-03-30       Impact factor: 2.427

8.  Trends and Predictors of COVID-19 Information Sources and Their Relationship With Knowledge and Beliefs Related to the Pandemic: Nationwide Cross-Sectional Study.

Authors:  Shahmir H Ali; Joshua Foreman; Yesim Tozan; Ariadna Capasso; Abbey M Jones; Ralph J DiClemente
Journal:  JMIR Public Health Surveill       Date:  2020-10-08

9.  Knowledge and perceptions about COVID-19 among the medical and allied health science students in India: An online cross-sectional survey.

Authors:  Kushalkumar H Gohel; Prati B Patel; Pushti M Shah; Jay R Patel; Niraj Pandit; Asavari Raut
Journal:  Clin Epidemiol Glob Health       Date:  2020-08-12

10.  Association Between Public Knowledge About COVID-19, Trust in Information Sources, and Adherence to Social Distancing: Cross-Sectional Survey.

Authors:  Ilona Fridman; Nicole Lucas; Debra Henke; Christina K Zigler
Journal:  JMIR Public Health Surveill       Date:  2020-09-15
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  2 in total

1.  A snapshot of the practicality and barriers to COVID-19 interventions: Public health and healthcare workers' perceptions in high and low- and middle-income countries.

Authors:  Rosanna Glazik; Hannah Moore; David Kennedy; Hilary Bower; Hana Rohan; Ashley Sharp; Anna C Seale
Journal:  PLoS One       Date:  2021-11-24       Impact factor: 3.240

2.  COVID-19 Intensive Care-Evaluation of Public Information Sources and Current Standards of Care in German Intensive Care Units: A Cross Sectional Online Survey on Intensive Care Staff in Germany.

Authors:  Anne Werner; Maria Popp; Falk Fichtner; Christopher Holzmann-Littig; Peter Kranke; Anke Steckelberg; Julia Lühnen; Lisa Marie Redlich; Steffen Dickel; Clemens Grimm; Onnen Moerer; Monika Nothacker; Christian Seeber
Journal:  Healthcare (Basel)       Date:  2022-07-15
  2 in total

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