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Using 'infodemics' to understand public awareness and perception of SARS-CoV-2: A longitudinal analysis of online information about COVID-19 incidence and mortality during a major outbreak in Vietnam, July-September 2020

PloS one, 2022-04, Vol.17 (4), p.e0266299-e0266299 [Peer Reviewed Journal]

COPYRIGHT 2022 Public Library of Science ;2022 Quach et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2022 Quach et al 2022 Quach et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0266299 ;PMID: 35390078

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Title:
Using 'infodemics' to understand public awareness and perception of SARS-CoV-2: A longitudinal analysis of online information about COVID-19 incidence and mortality during a major outbreak in Vietnam, July-September 2020
Author: Quach, Ha-Linh ; Pham, Thai Quang ; Hoang, Ngoc-Anh ; Phung, Dinh Cong ; Nguyen, Viet-Cuong ; Le, Son Hong ; Le, Thanh Cong ; Bui, Thu Minh Thi ; Le, Dang Hai ; Dang, Anh Duc ; Tran, Duong Nhu ; Ngu, Nghia Duy ; Vogt, Florian ; Nguyen, Cong-Khanh
Sung, Wen-Wei
Subjects: Analysis ; Computer and Information Sciences ; Control ; Coronaviruses ; COVID-19 ; COVID-19 - epidemiology ; Data collection ; Disease transmission ; Epidemics ; Epidemiology ; Evaluation ; Fatalities ; Funding ; Health care ; Health informatics ; Health risks ; Humans ; Hygiene ; Incidence ; Infodemic ; Internet ; Keywords ; Longitudinal Studies ; Medicine and Health Sciences ; Mortality ; Outbreaks ; Pandemics ; People and Places ; Perception ; Perceptions ; Phases ; Polarity ; Population ; Preventive medicine ; Public awareness ; Public concern ; Public domain ; Public health ; Public health administration ; Public opinion ; Regression analysis ; SARS-CoV-2 ; Segmentation ; Severe acute respiratory syndrome coronavirus 2 ; Social Media ; Social networks ; Social Sciences ; Software packages ; Trends ; Vaccination ; Vietnam ; Vietnam - epidemiology ; Viral diseases
Is Part Of: PloS one, 2022-04, Vol.17 (4), p.e0266299-e0266299
Description: Trends in the public perception and awareness of COVID-19 over time are poorly understood. We conducted a longitudinal study to analyze characteristics and trends of online information during a major COVID-19 outbreak in Da Nang province, Vietnam in July-August 2020 to understand public awareness and perceptions during an epidemic. We collected online information on COVID-19 incidence and mortality from online platforms in Vietnam between 1 July and 15 September, 2020, and assessed their trends over time against the epidemic curve. We explored the associations between engagement, sentiment polarity, and other characteristics of online information with different outbreak phases using Poisson regression and multinomial logistic regression analysis. We assessed the frequency of keywords over time, and conducted a semantic analysis of keywords using word segmentation. We found a close association between collected online information and the evolution of the COVID-19 situation in Vietnam. Online information generated higher engagements during compared to before the outbreak. There was a close relationship between sentiment polarity and posts' topics: the emotional tendencies about COVID-19 mortality were significantly more negative, and more neutral or positive about COVID-19 incidence. Online newspaper reported significantly more information in negative or positive sentiment than online forums or social media. Most topics of public concern followed closely the progression of the COVID-19 situation during the outbreak: development of the global pandemic and vaccination; the unfolding outbreak in Vietnam; and the subsiding of the outbreak after two months. This study shows how online information can reflect a public health threat in real time, and provides important insights about public awareness and perception during different outbreak phases. Our findings can help public health decision makers in Vietnam and other low and middle income countries with high internet penetration rates to design more effective communication strategies during critical phases of an epidemic.
Publisher: United States: Public Library of Science
Language: English
Identifier: ISSN: 1932-6203
EISSN: 1932-6203
DOI: 10.1371/journal.pone.0266299
PMID: 35390078
Source: GFMER Free Medical Journals
MEDLINE
PubMed Central
Coronavirus Research Database
Public Library of Science (PLoS)
ProQuest Central
DOAJ Directory of Open Access Journals

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Using 'infodemics' to understand public awareness and perception of SARS-CoV-2: A longitudinal analysis of online information about COVID-19 incidence and mortality during a major outbreak in Vietnam, July-September 2020

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