Impact of Social Distancing on COVID-19 and Other Related Infectious Disease Transmission: A Systematic Review

Examining the Negative Sentiments Related to Influenza Vaccination from 2017 to 2022: An Unsupervised Deep Learning Analysis of 261,613 Twitter Posts

Several countries are witnessing significant increases in influenza cases and severity. Despite the availability, effectiveness and safety of influenza vaccination, vaccination coverage remains suboptimal globally. In this study, we examined the prevailing negative sentiments related to influenza vaccination via a deep learning analysis of public Twitter posts over the past five years. We extracted original tweets containing the terms 'flu jab', '#flujab', 'flu vaccine', '#fluvaccine', 'influenza vaccine', '#influenzavaccine', 'influenza jab', or '#influenzajab', and posted in English from 1 January 2017 to 1 November 2022. We then identified tweets with negative sentiment from individuals, and this was followed by topic modelling using machine learning models and qualitative thematic analysis performed independently by the study investigators. A total of 261,613 tweets were analyzed. Topic modelling and thematic analysis produced five topics grouped under two major themes: (1) criticisms of governmental policies related to influenza vaccination and (2) misinformation related to influenza vaccination. A significant majority of the tweets were centered around perceived influenza vaccine mandates or coercion to vaccinate. Our analysis of temporal trends also showed an increase in the prevalence of negative sentiments related to influenza vaccination from the year 2020 onwards, which possibly coincides with misinformation related to COVID-19 policies and vaccination. There was a typology of misperceptions and misinformation underlying the negative sentiments related to influenza vaccination. Public health communications should be mindful of these findings.

Being COVID Warriors among COVIGNORANTS in Indonesia: The Importance of Mental Health Endurance

COVID-19 pandemic outbreak has spread across the globe. COVID-19 cases keep increasing as July 04, 2020, the World Health Organization (WHO) announce about 11,046,917 confirmed cases of COVID-19 that spread in 216 countries. The WHO has published helpful advice to keep and reduce the chances of being infected or spreading COVID-19 among the public such as cleaning hands regularly, maintaining physical distance, wearing masks properly, and encouraging to be in a ventilated area. An idiom for a person who ignores measures to prevent COVID-19 spread acts as if the world is not in the pandemic condition that is COVIGNORANT. Some of the COVIGNORANTS do not trust healthcare workers and spread a lot of false myths regarding COVID-19. Misperception and lack of knowledge about COVID-19 among COVIGNORANS lead to a sense of fear for healthcare workers. People are being a concern regarding contagion exposure from healthcare workers when they come home. Normalizing mental health discussion among healthcare workers should not be a stigma and must be considered one of the important policies that need to be applied among healthcare workers in Indonesia.