COVID-19 Vaccine Segments in Australia: An Audience Segmentation Analysis to Improve Vaccine Uptake

2021 ◽  
Author(s):  
Jagadish Thaker ◽  
Lucy Richardson
Keyword(s):  
Information Seeking ◽  
Latent Class ◽  
Message Framing ◽  
National Sample ◽  
Vaccine Uptake ◽  
Public Health Communication ◽  
Mainstream Media ◽  
Segmentation Analysis ◽  
Health Communication Campaign ◽  
Effective Public Health

BackgroundKnowing your audience is the first step in an effective public health communication campaign. While previous studies provide broad categories of public intentions to get a COVID-19 vaccine, few systematically segment and identify effective ways to engage with distinct publics to improve COVID-19 vaccine uptake. MethodsUsing data from a national sample of Australian public (N = 1054) and based on the Theory of Planned Behaviour, a latent class analysis of 23 items was undertaken to identify COVID-19 audience segments for potential future message targeting. FindingsWe found five different segments on COVID-19 vaccine intentions: Vaccine enthusiasts (28%), supporters (26%), socials (20%), hesitant (15%), and sceptics (10%). While the vaccine hesitants have concerns about safety and side-effects of the vaccine, the sceptics hold additional concerns about the need for a vaccine and dismiss the health risks. Vaccine socials hold less favourable attitudes towards a COVID-19 vaccine but are willing to get one to protect others. These audience segments differ on demographic variables and in their level of trust in mainstream media, scientists and health experts, social media, and family and friends. In particular, we found the most vulnerable—the poor and undereducated—may need further help in understanding the need and importance of COVID-19 vaccination.InterpretationUnderstanding the COVID-19 vaccine attitudinal and information seeking characteristics of these sub-publics will help inform appropriate messaging campaigns to reach out to vaccine hesitant and sceptics for promoting vaccination. It provides insight into what types of message framing may be effective, through which platforms messages should be provided, and by which trusted sources.

scholarly journals 545. The Impact of COVID-19 on African Americans’ Health Attitudes and Information Seeking Behavior

2020 ◽  
Vol 7 (Supplement_1) ◽  
pp. S338-S339
Author(s):  
Katherine Kricorian ◽  
Ozlem Equils ◽  
Karin Kricorian ◽  
Brianna Rochebrun
Keyword(s):  
African Americans ◽  
Information Seeking ◽  
Disease Incidence ◽  
Family Members ◽  
National Sample ◽  
Health Attitudes ◽  
Health News ◽  
Before And After ◽  
Science And Government ◽  
The Impact

Abstract Background African-Americans suffer a disproportionate impact from COVID-19, comprising about 24% of deaths while representing 13% of the US population. We conducted a study to understand COVID-19’s impact on African-Americans’ health attitudes. Methods In April 2020, we surveyed online a national sample of US adults on their health attitudes and behaviors before and after the COVID-19 outbreak. Comparisons were analyzed using chi-squared tests. Results A total of 2,544 individuals completed the survey: 473 African-Americans, 282 Hispanics and 1,799 Caucasians responded. The mean ages of each group were 41.4 ± 11 years, 38.0 ± 11 years and 45.7 ± 13 years, respectively. Before COVID-19, African-Americans were least likely to report they had trust in science (53% vs. 68% for Hispanics and 77% for Caucasians; p< .01) and government (16% vs. 27% and 28%; p< .01). After COVID-19, the percentage of African-Americans who had trust in science and government fell further to 44% (p< .01) and 9% (p< .01), respectively, and remained significantly lower than the other two groups. Twice as many African-Americans vs. Caucasians stopped following science and health news after COVID-19 (9% vs. 4%, p< .01). The percentage of African-Americans who reported anxiety about their health rose from 30% pre-COVID to 53% after the outbreak (p< .01), and the percentage who reported anxiety about their family members’ health rose from 35% to 61% (p< .01). Only 25% of African-Americans surveyed agreed that if they contracted COVID-19, they were confident they would get the healthcare needed. Conclusion After COVID-19, African-Americans’ trust in science and government fell and a meaningful percentage stopped following science and health news, possibly reducing access to important health information. The percentage of African-Americans reporting anxiety about the future, about their health and about their family members’ health all increased significantly after COVID-19. Only a minority of African-Americans agreed they would get the needed healthcare if they contracted COVID-19. These findings have implications for the mental health and behavioral impacts of COVID-19 on African-Americans and for the development of health communications to high-disease-incidence populations. Disclosures All Authors: No reported disclosures

Use of a Multitheoretic Model to Understand and Classify Juvenile Computer Hacking Behavior

2020 ◽  
pp. 009385482096975
Author(s):  
Bryanna Fox ◽  
Thomas J. Holt
Keyword(s):  
Risk Factors ◽  
Latent Class ◽  
National Sample ◽  
Treatment Modalities ◽  
Structural Level ◽  
Factors Associated ◽  
Computer Hacking ◽  
Criminological Inquiry ◽  
Insight Into ◽  
Cross National

Criminological inquiry has identified a range of risk factors associated with juvenile delinquency. However, little research has assessed juvenile computer hacking, despite the substantial harm and opportunities for delinquent behavior online. Therefore, understanding the applicability of criminological risk factors among a cross-national sample of juvenile hackers is important from a theoretical and applied standpoint. This study aimed to address this gap using a logistic regression and latent class analysis (LCA) of risk factors associated with self-reported hacking behavior in a sample of more than 60,000 juveniles from around the globe. Results demonstrated support for individual- and structural-level predictors of delinquency, although distinct risk factors for hacking among three subtypes are identified in the LCA. This study examines criminological risk factors for juvenile hacking in a cross-national sample and provides insight into the distinct risk factors of hacking, so more tailored prevention and treatment modalities can be developed.

Patient informational needs about breast reconstruction post-mastectomy.

2012 ◽  
Vol 30 (27_suppl) ◽  
pp. 88-88
Author(s):  
Ivy A. Ahmed ◽  
Allison Harvey ◽  
Erica Weiss ◽  
Marni Amsellem
Keyword(s):  
Breast Cancer ◽  
Breast Reconstruction ◽  
Information Seeking ◽  
Breast Cancer Diagnosis ◽  
National Sample ◽  
Informational Needs ◽  
Chi Square ◽  
Reconstructive Procedures ◽  
Cancer Support ◽  
Reconstruction Methods

88 Background: For many women, receiving a breast cancer diagnosis is further complicated by decisions they will face about breast reconstruction post-mastectomy. While women are typically provided with some information about reconstruction options, little is known about the perceived value of this information and how it might ultimately affect their decision about reconstruction. The Cancer Support Community investigated these questions in a national sample of women with breast cancer to better understand their information-seeking experiences, knowledge, and decision-making about reconstruction. Methods: In 2011, 439 participants attending Frankly Speaking about Cancer: Spotlight on Breast Reconstruction, a national educational workshop, completed a post-workshop survey (56.4% response rate). 76.2% of respondents were women diagnosed with breast cancer, who reported their decisions about reconstruction as well as their experience receiving information about reconstruction. Results: Respondents were Caucasian (74.8%), black (11.4%), and Hispanic (10.1%), and the mean age was 48.9. Nearly half (42%) of respondents reported low levels of knowledge about breast reconstruction prior to the workshop. Of those eligible for breast reconstruction, 18.2% reported they had decided against reconstruction, 40.7% were considering their options, and 41.1% planned to undergo or had undergone reconstructive procedures. Women reported they would have liked to have had more information prior to reconstruction about a variety of topics, including more information about the procedure (43.6%), how they would look (31.1%) and feel (29.7%) after reconstruction, and information about their future breast health (31.8%). No differences were found in unmet informational needs based on their reconstruction decisional status with one exception: those who decided against reconstruction were more likely to endorse that they would have wanted more information about when to make their decision about reconstruction than the other two groups (chi square=24.6, p <.01). Conclusions: Findings suggest women facing breast reconstruction often are not equipped with comprehensive information about procedures, options, outcomes, and recovery.

A persuasive-based latent class segmentation analysis of luxury brand websites

2016 ◽  
Vol 16 (3) ◽  
pp. 401-424 ◽  
Author(s):  
Estrella Díaz ◽  
David Martín-Consuegra ◽  
Hooman Estelami
Keyword(s):  
Latent Class ◽  
Luxury Brand ◽  
Segmentation Analysis ◽  
Class Segmentation

scholarly journals Developing a Vaccine Informatics to Identify Message Frames Used in Vaccine Debates on Social Media: Combining Automatic Tweet Classification and Clustering Machine-Learning Algorithms with Qualitative Content Analysis (Preprint)

2020 ◽  
Author(s):  
Young Argyris ◽  
Kafui Monu ◽  
Pang-Ning Tan ◽  
Colton Aarts ◽  
Fan Jiang ◽  
...  
Keyword(s):  
Social Media ◽  
Content Analysis ◽  
Clustering Algorithm ◽  
Qualitative Content Analysis ◽  
Message Framing ◽  
Machine Learning Algorithms ◽  
Vaccine Uptake ◽  
Uptake Rates ◽  
Message Frames ◽  
Tweet Classification

BACKGROUND Exposure to anti-vaccine content on social media has been associated with delays and refusals of vaccinations, while pro-vaccine campaigns devised to disseminate the preventive benefits of vaccines have not succeeded in increasing vaccine uptake rates. Reasons remain unknown why anti-vaccine messaging hampers uptake while pro-vaccine campaigns do not improve it. OBJECTIVE We aim to identify reasons for the disparate effectiveness of anti- versus pro-vaccine social media content on vaccine delivery rates. In so doing, we apply the perspectives of message framing used in interpersonal health communication to explain why individuals refuse to adopt preventive behaviors. Specifically, we compare (1) the diversity, coherence, and distinctiveness of topics discussed by pro- and anti-vaccine communities and (2) message frames used to portray vaccines as a public health accomplishment or harmful agents. METHODS We developed a multimethod that combines the collection of a large amount of data from Twitter (~40,000 tweets), an automatic tweet classification algorithm, the K-means clustering algorithm, and a qualitative content analysis. RESULTS Our results show a larger number of topics (20 versus 17 clusters), greater coherence of topics (0.99 vs. 0.97) and distinctiveness of topics (1.22 vs. 1.31) among anti-vaccinists in comparison to pro-vaccinists. In addition, while anti-vaccinists use all four message frames known to make narratives persuasive and influential, pro-vaccinists neglect the problem statement. CONCLUSIONS Based on our results, we attribute the diversity, coherence, and distinctiveness of topics discussed among anti-vaccinists to their higher engagement, and we ascribe the influence of vaccine debate on uptake rates to the comprehensiveness of the message frames. These results show the urgency of developing value propositions for vaccines to counteract the negative impact of anti-vaccine content on the uptake rates. CLINICALTRIAL This study was determined to be a non-human subject study by Michigan State University’s Institutional Review Board (#STUDY00004514).

scholarly journals Long COVID - the physical and mental health of children and non-hospitalised young people 3 months after SARS-CoV-2 infection; a national matched cohort study (The CLoCk) Study.

2021 ◽  
Author(s):  
Terence Stephenson ◽  
Terence Stephenson ◽  
Snehal Pinto Pereira ◽  
Roz Shafran ◽  
Bianca De Stavola ◽  
...  
Keyword(s):  
Mental Health ◽  
Cohort Study ◽  
Young People ◽  
Latent Class ◽  
National Sample ◽  
Physical And Mental Health ◽  
Symptom Profile ◽  
Post Test ◽  
Negative Controls ◽  
Multiple Symptoms

Abstract Introduction: We describe post-COVID symptomatology in a national sample of 11-17-year-old children and young people (CYP) with PCR-confirmed SARS-CoV-2 infection compared to test-negative controls.Methods and analysis: A cohort study of test-positive (n=3,065) and age-, sex- and geographically-matched test-negative CYP (n=3,739) completed detailed questionnaires 3 months post-test.Results: At PCR-testing, 35.4% of test-positives and 8.3% of test-negatives had any symptoms whilst 30.6% and 6.2%, respectively, had 3+ symptoms. At 3 months post-testing, 66.5% of test-positives and 53.3% of test-negatives had any symptoms, whilst 30.3% and 16.2%, respectively, had 3+ symptoms. Latent class analysis identified two classes, characterised by “few” or “multiple” symptoms. This latter class was more frequent among test-positives, females, older CYP and those with worse pre-test physical and mental health.Discussion: Test-positive CYP had a similar symptom profile to test-negative CYP but with higher prevalence of single and, particularly, multiple symptoms at PCR-testing and 3 months later.

scholarly journals Changes in attitudes to vaccination as a result of the COVID-19 pandemic: A longitudinal study of older adults in the UK

PLoS ONE ◽  
2021 ◽  
Vol 16 (12) ◽  
pp. e0261844
Author(s):  
Allyson J. Gallant ◽  
Louise A. Brown Nicholls ◽  
Susan Rasmussen ◽  
Nicola Cogan ◽  
David Young ◽  
...  
Keyword(s):  
Older Adults ◽  
Influenza Vaccine ◽  
Information Seeking ◽  
Public Attitudes ◽  
Rapid Development ◽  
Collective Responsibility ◽  
Vaccine Uptake ◽  
Paired Samples ◽  
The Uk ◽  
Almost All

Background The rapid development of COVID-19 vaccines has brought an unprecedented focus on public attitudes to vaccines, with intention to accept a COVID-19 vaccine fluctuating during the pandemic. However, it is unclear how the pandemic may influence attitudes and behaviour in relation to vaccines in general. The aim of the current study is to examine older adults’ changes in vaccination attitudes and behaviour over the first year of the pandemic. Methods In February-March 2020 (before the first COVID-19 national lockdown in the UK), 372 older adults (aged 65+) provided sociodemographic information, self-reported influenza vaccine uptake, and completed two measures of vaccination attitudes: the 5C scale and the Vaccination Attitudes Examination Scale. One-year later, following rollout of COVID-19 vaccines to older adults, participants provided information on their COVID-19 and influenza vaccine uptake in the previous 12 months, and completed the 5C and VAX scales again. Paired samples t-tests were used to examine changes in vaccination attitudes over time. Results Almost all participants (98.7%) had received at least one dose of a COVID-19 vaccine, and a significant increase in influenza uptake was identified (83.6% in 2020 to 91.6% in 2021). Complacency, mistrust of vaccine benefit, concerns about commercial profiteering, and constraints to vaccination had significantly decreased between Time 1 and Time 2, and collective responsibility had significant increased. However, calculation and worries about unforeseen future effects had increased, indicating that participants now perceived higher risks related to vaccination and were taking a more deliberative information-seeking approach. Conclusion The results show significant changes in vaccination attitudes across the pandemic. These changes suggest that while older adults became less complacent about the importance of vaccines, concerns about potential risks associated with vaccination increased. It will be important for public health communication to address these concerns for all vaccines offered to this group.

scholarly journals Health Information-Seeking Behaviors of a German Speaking Minority in Italy: Latent Class Analysis of a Population-Based Cross-Sectional Survey

2021 ◽  
Author(s):  
Dietmar Ausserhofer ◽  
Wolfgang Wiedermann ◽  
Christian J. Wiedermann ◽  
Ulrich Becker ◽  
Anna Vögele ◽  
...  
Keyword(s):  
Latent Class Analysis ◽  
Health Information ◽  
Information Seeking ◽  
Latent Class ◽  
Population Based ◽  
Health Information Seeking ◽  
Class Analysis ◽  
Online Class ◽  
German Speaking ◽  
Information Seeking Behaviors

Abstract Latent classes of health information-seeking behaviors of adults in a German-speaking minority of Italy were explored in a population-based, telephone survey on 10 health information sources conducted in South Tyrol, Italy. Data were collected from 504 adults (primary language German 68%, Italian 28%) and analyzed using latent class analysis and latent class multinomial logistic regression models. Three classes of health information-seeking behaviors emerged: “multidimensional” (23.3%), “interpersonal” (38.6%) and “technical/online” (38.1%). Compared to the “technical/online” class, “interpersonal” class members were older, had lower education than high school, and were less likely to be of Italian ethnicity. “Multidimensional” class members were more likely to be female, older, and of German ethnicity than those in the “technical/online” class. Linguistic ethnicity explains membership in classes of health-information-seeking behaviour. Policy makers and healthcare providers need to consider the health information-seeking behaviors of population subgroups to promote the health literacy skills of language minority groups.

scholarly journals Development of a Codebook of Online Anti-Vaccination Rhetoric to Manage COVID-19 Vaccine Misinformation

2021 ◽  
Author(s):  
B. Hughes ◽  
C. Miller-Idriss ◽  
R. Piltch-Loeb ◽  
K. White ◽  
M. Creizis ◽  
...  
Keyword(s):  
Public Health ◽  
Social Media ◽  
Health Communication ◽  
User Generated Content ◽  
Vaccine Hesitancy ◽  
Public Health Communication ◽  
Effective Public Health ◽  
Pandemic Vaccine ◽  
Qualitative Coding ◽  
Health Messaging

AbstractVaccine hesitancy (delay in obtaining a vaccine, despite availability) represents a significant hurdle to managing the COVID-19 pandemic. Vaccine hesitancy is in part related to the prevalence of anti-vaccine misinformation and disinformation, which are spread through social media and user-generated content platforms. This study uses qualitative coding methodology to identify salient narratives and rhetorical styles common to anti-vaccine and COVID-denialist media. It organizes these narratives and rhetorics according to theme, imagined antagonist, and frequency. Most frequent were narratives centered on “corrupt elites” and rhetorics appealing to the vulnerability of children. The identification of these narratives and rhetorics may assist in developing effective public health messaging campaigns, since narrative and emotion have demonstrated persuasive effectiveness in other public health communication settings.

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