A comparative analysis of anti-vax discourse on twitter before and after COVID-19 onset.

This study aimed to identify and assess the prevalence of vaccine-hesitancy-related topics on Twitter in the periods before and after the Coronavirus Disease 2019 (COVID-19) outbreak. Using a search query, 272,780 tweets associated with anti-vaccine topics and posted between 1 January 2011, and 15 January 2021, were collected. The tweets were classified into a list of 11 topics and analyzed for trends during the periods before and after the onset of COVID-19. Since the beginning of COVID-19, the percentage of anti-vaccine tweets has increased for two topics, "government and politics" and "conspiracy theories," and decreased for "developmental disabilities." Compared to tweets regarding flu and measles, mumps, and rubella vaccines, those concerning COVID-19 vaccines showed larger percentages for the topics of conspiracy theories and alternative treatments, and a lower percentage for developmental disabilities. The results support existing anti-vaccine literature and the assertion that anti-vaccine sentiments are an important public-health issue.

Perspectives on COVID-19 Vaccines and Its Hesitancy Among Jordanian Population.

Background Since the spread of the COVID-19 virus, governments are putting significant resources into ending the pandemic. Vaccination arises as the best solution to get back to our everyday lives. However, we are now facing vaccine hesitancy, which is a critical problem. Methods This cross-sectional study was conducted between December 15, 2020, and March 1, 2021, using a validated online-based questionnaire; participants were compared using the Statistical Package for the Social Sciences (SPSS) program based on multiple factors. Results A total of 1607 participants throughout Jordan have responded to the questionnaire, among which 880 (54.8%) have bachelor's degrees, 236 (14.7%) have a high educational level (master and doctoral), and 491 (30.5%) have a diploma or less. Although this is a non-probable sample, it is not a representative sample as, according to United Nations Educational, Scientific and Cultural Organization (UNESCO), only 33.6% of the Jordan population have a tertiary education. Overall, 892 (55.5%) of the studied subjects had the intention to take the vaccine, distributed as follows: 156 (66.1%) of the high educational participants wanted to take the vaccine, compared to 512 (58.2%) of those who have bachelor's degree and 224 (45.6%) of those who have diploma or less (p < 0.001). Reading scientific articles talking about the vaccines and their effects (55.6%, p < 0.001), knowing the mechanism of action (45.2%, p = 0.007), getting proper medical advice (27.2%, p < 0.001), encouraged by the increasing number of infections and deaths (39.7%, p < 0.001), and the number of people who received the vaccine (16.1%, p < 0.001) were the most critical factors that played a role in taking the vaccine by all of the studied groups. Male gender (OR = 2.02; 95% CI = 1.54-2.64; p < 0.001), high income of more than 1000 JDs (1400 USD) (OR = 3.23; 95% CI = 2.21-4.71; p < 0.001), having an educational level of either high education (OR = 3.39; 95% CI = 2.07-5.55; p < 0.001) or bachelor degree (OR = 1.67; 95% CI = 1.25-2.24; p = 0.001), and being encouraged by the increasing number of infections and deaths caused by COVID-19 (OR = 1.97; 95% CI = 1.46-2.66; p < 0.001) were all significantly associated with the willingness to take the vaccine. Conclusion As the world rushes toward vaccination to end the pandemic, efforts are needed to end this phenomenon of vaccine hesitancy by enlightening people with the precise knowledge regarding the vaccine's mechanism of action, side effects, and efficacy focusing mainly on people with lower educational levels.

Public Discourse Against Masks in the COVID-19 Era: Infodemiology Study of Twitter Data.

BACKGROUND: Despite scientific evidence supporting the importance of wearing masks to curtail the spread of COVID-19, wearing masks has stirred up a significant debate particularly on social media. OBJECTIVE: This study aimed to investigate the topics associated with the public discourse against wearing masks in the United States. We also studied the relationship between the anti-mask discourse on social media and the number of new COVID-19 cases. METHODS: We collected a total of 51,170 English tweets between January 1, 2020, and October 27, 2020, by searching for hashtags against wearing masks. We used machine learning techniques to analyze the data collected. We investigated the relationship between the volume of tweets against mask-wearing and the daily volume of new COVID-19 cases using a Pearson correlation analysis between the two-time series. RESULTS: The results and analysis showed that social media could help identify important insights related to wearing masks. The results of topic mining identified 10 categories or themes of user concerns dominated by (1) constitutional rights and freedom of choice; (2) conspiracy theory, population control, and big pharma; and (3) fake news, fake numbers, and fake pandemic. Altogether, these three categories represent almost 65% of the volume of tweets against wearing masks. The relationship between the volume of tweets against wearing masks and newly reported COVID-19 cases depicted a strong correlation wherein the rise in the volume of negative tweets led the rise in the number of new cases by 9 days. CONCLUSIONS: These findings demonstrated the potential of mining social media for understanding the public discourse about public health issues such as wearing masks during the COVID-19 pandemic. The results emphasized the relationship between the discourse on social media and the potential impact on real events such as changing the course of the pandemic. Policy makers are advised to proactively address public perception and work on shaping this perception through raising awareness, debunking negative sentiments, and prioritizing early policy intervention toward the most prevalent topics.

Mining Physicians' Opinions on Social Media to Obtain Insights Into COVID-19: Mixed Methods Analysis.

BACKGROUND: The coronavirus disease (COVID-19) pandemic is considered to be the most daunting public health challenge in decades. With no effective treatments and with time needed to develop a vaccine, alternative approaches are being used to control this pandemic. OBJECTIVE: The objective of this paper was to identify topics, opinions, and recommendations about the COVID-19 pandemic discussed by medical professionals on the Twitter social medial platform. METHODS: Using a mixed methods approach blending the capabilities of social media analytics and qualitative analysis, we analyzed COVID-19-related tweets posted by medical professionals and examined their content. We used qualitative analysis to explore the collected data to identify relevant tweets and uncover important concepts about the pandemic using qualitative coding. Unsupervised and supervised machine learning techniques and text analysis were used to identify topics and opinions. RESULTS: Data were collected from 119 medical professionals on Twitter about the coronavirus pandemic. A total of 10,096 English tweets were collected from the identified medical professionals between December 1, 2019 and April 1, 2020. We identified eight topics, namely actions and recommendations, fighting misinformation, information and knowledge, the health care system, symptoms and illness, immunity, testing, and infection and transmission. The tweets mainly focused on needed actions and recommendations (2827/10,096, 28%) to control the pandemic. Many tweets warned about misleading information (2019/10,096, 20%) that could lead to infection of more people with the virus. Other tweets discussed general knowledge and information (911/10,096, 9%) about the virus as well as concerns about the health care systems and workers (909/10,096, 9%). The remaining tweets discussed information about symptoms associated with COVID-19 (810/10,096, 8%), immunity (707/10,096, 7%), testing (605/10,096, 6%), and virus infection and transmission (503/10,096, 5%). CONCLUSIONS: Our findings indicate that Twitter and social media platforms can help identify important and useful knowledge shared by medical professionals during a pandemic.

Relationship of serum imatinib trough level and response in CML patients: long term follow-up.

One hundred and three patients with Philadelphia chromosome or BCR-ABL positive chronic myeloid leukemia (CML) in chronic phase who were on oral imatinib were included in this study. The study aimed to assess the relationship between imatinib trough serum levels and clinical outcome (as determined by molecular response) in Jordanian CML patients who have been on imatinib therapy for at least 12 months. The mean trough imatinib serum level in the group with complete molecular response (CMR) was 2891±856 ng/ml, the group with major molecular response (MMR) was 2337±434 ng/ml, the group with complete cytogenetic response (CCyR) was 1817±563 ng/ml, and the group without CCyR was 1723±673 ng/ml. A receiver operating characteristic (ROC) curve was constructed after dividing patient sample into two groups, those with MMR or better and those without MMR, in order to estimate a threshold for imatinib level that correlates with a favorable response (the former group), and analysis yielded a value of 2158 ng/ml.