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Health care systems aspire to adopt integration strategies shifting the focus from acute care to a broader focus on community-based health and social services. Real-world examples demonstrating effective delivery of integrated care are essential.

In this article, we introduce UHN Connected Care Hub, an innovative model of care comprising an interdisciplinary team designing sustainable, shareable practices across the continuum of care alongside community and health organization partnerships.

We describe UHN Connected Care Hub’s ability to identify patients from high-risk population and collaborate to delivery timely care, in detailing the real world experience of this model of care in the organization of a centralized system of micro-clinics to administer a therapeutic for pre-exposure prophylaxis against COVID-19 (Tixagevimab/cilgavimab [Evusheld]) in a population of immunocompromised patients.

Having a centralized system of micro-clinics for care delivery presents opportunities for increased adaptability, patient accessibility, enhanced community partnerships and integratedness. Expansion in the scope of services could also create new opportunities in preventative therapies for optimizing the cost effectiveness and quality of health care provided at the population level.

There is limited evidence on how to efficiently deliver integrated care, particularly to vulnerable and co-morbid patients. We discuss how dynamic organizations with proper infrastructure and a network of healthcare partnerships may allow a more fluid response to rapidly changing policies and procedures and facilitate preparedness for future health care crises or pandemics.

The Covid-19 pandemic has persisted for almost three years. States have since then enforced laws, policies and measures believed to be the most effective to handle the global pandemic. Along this line, the Indonesian Government opted to implement mandatory vaccination and refusal of which entails monetary penalties. Hence, this study aims to analyze two legal issues that touch upon the realm of International Human Rights Law: first, whether state has the authority to implement the said mandatory vaccine program to those who refuse to be vaccinated, and second, how is the more appropriate legal policy to obligate vaccination but without coercive sanction.

This is a normative legal research that uses a qualitative method with case studies, conceptual, historical and comparative approaches. A descriptive-analytical deduction process was used in analyzing the issue.

The results present, as part of state’s right to regulate, it has the authority to enact mandatory vaccination with monetary penalties to fulfil its obligation to protect public health in times of emergency; this is legal and constitutional but only if it satisfies the requirements under the International Human Rights Law: public health necessity, reasonableness, proportionality and harm avoidance. Alternatively, herd immunity is achievable without deploying unnecessary coercive sanctions, such as improving public channels of communication and information, adopting legal policies that incentivize people’s compliance like exclusion from public services, subsidies revocation, employment restrictions, higher health insurance premiums, etc.

This study analyzes in depth the following issues: of whether the government has the authority to apply mandatory vaccination laws enforced through monetary penalties for those who refused to be vaccinated and how does the government implement the appropriate legal policy to enforce mandatory vaccination without imposing penalties for non-compliance while maintaining a balance between the interests of protecting public health and the human rights of individuals to choose medical treatment for themselves, including whether they are willing to be vaccinated. Hence, the political affairs, economic matters and other non-legal related issues are excluded from this study.

This paper hence offers a suggestive insight for state in formulating a policy relating to the mandatory vaccination program. Although the monetary penalties do not directly violate the rule of law, a more non-coercive approach to the society would be more favorable.

Vaccine hesitancy is a long-standing issue among both the general population and health communicators. This study aims to ascertain the inclination and the reasons for vaccine hesitancy by conducting content analysis and sentiment analysis of the perspectives expressed in comments on videos related to vaccine hesitancy uploaded from India on YouTube.

The assessment of the sentiments of the vaccine-hesitant population is done using Valence Aware Dictionary and sEntiment Reasoner sentiment analysis module implemented with Python’s NLTK library to automatically determine the sentiments of the comments. Manual content analysis was performed on 60.09% viewer comments randomly selected from the total comments in 238 videos on vaccine hesitancy originated from India and labelled each comment with labels “Anti”, “Pro”, “Confused”, “Not Applicable” and “Unrelated” labels.

The study found “Mistrust-Government policies”, “Fear-health related consequences”, “Mistrust-Scientific research”, “Vaccine effectiveness and efficacy” and “Misinformation/myths” as the top five determinants for vaccine hesitancy, whereas “Religious beliefs”, “Fear-Economic consequences”, “Side Effects- short-term” and “Fear-mode of administration” found to be the lesser cited reasons for vaccine hesitancy. However, the study also investigates changes in the inclination of Indian commenters towards vaccine hesitancy and revolving issues over time.

Public health policymakers and health communicators may find the study useful in determining vaccine hesitancy factors in India.

The originality of this study lies in its approach. To date, no sentiment analysis has been conducted on the content released on YouTube by Indian content creators regarding pro- and anti-vaccination videos. This inquiry seeks to fill this research gap.

This study aims to assess the sources of COVID-19 information respondents relied for COVID-19 pandemic information access and use, forms of misinformation and their influence on COVID-19 vaccine uptake hesitancy among frontline workers.

A Google Form developed questionnaire, distributed conveniently through link shared through WhatsApp groups was used to collect data from frontline workers from Dar es Salaam and Dodoma cities. Analysis was done using a binary regression analysis.

It was found that it was not the source that mattered for one to be hesitancy or not on COVID-19 vaccination, but the extent to which the information the source channels was manipulated or false.

Relying only Google Form questionnaire sent through a link on WhatsApp may have compromised the quality of information gathered and the quality of conclusion. Another study may have conducted through researcher administered questionnaire to a bigger sample to increase conclusion reliability and validity.

This study urges that to increase the COVID-19 vaccine uptake, it is important to ensure that the quality of information from the revealed dependable sources is checked to avoid possible consequential disquiet resulting from misinformation.

As the world is striving toward combating the COVID-19 or at least lessening its effects, this paper is of its own kind, using the theory of informative fictions to guide the assessment of the sources of information and the extent to which they influence misinformation on COVID-19 vaccine uptake hesitancy.

As the current Coronavirus 2019 pandemic eases, international tourism, which was greatly affected by the outbreak, is gradually recovering. The attraction of countries to overseas tourists is related to their overall performance in the pandemic. This research integrates the data of vaccination of different countries, border control policy and holidays to explore their differential impacts on the overseas tourists’ intention during the pandemic. This is crucial for destinations to built their tourism resilience. It will also help countries and industry organizations to promote their own destinations to foreign tourism enterprises.

This study proposes an analysis based on panel data for ten countries over 1,388 days. The coefficient of variation is used to measure monthly differences of Chinese tourists’ intention to visit overseas country destinations.

Results show that, for tourist intention of going abroad: border control of the destination country has a significant negative impact; daily new cases in the destination country have a significant negative impact; domestic daily new cases have a significant positive impact; holidays have significant negative impact; daily vaccination of the destination countries has significant positive impact; and domestic daily vaccination have negative significant impact.

First, there is a large uncertainty in studying consumers’ willingness to travel abroad in this particular period because of unnecessary travel abroad caused by the control of the epidemic. Second, there are limitations in studying only Chinese tourists, and future research should be geared toward a broader range of research pairs.

First, from the government perspective, a humane response can earn the respect and trust of tourists. Second, for tourism industry, to encourage the public take vaccine would be beneficial for both the tourism destination and foreign tourism companies. The same effect can be achieved by helping tourists who are troubled by border control.

First, this research provides suggestions for the government and the tourism industry to deal with such a crisis in the future. Second, this study found that vaccination has a direct impact on tourism. This provides a basis for improving people’s willingness to vaccinate. Thirdly, this study proves suggestion for the destinations to build tourism resilience.

This study analyzes the unique control measures and vaccination in different countries during the pandemic, then provides suggestions for the tourism industry to prepare for the upcoming postpandemic tourism recovery. This study is valuable for improving the economic resilience of tourism destinations. Additionally, it helps to analyze the advantages and disadvantages of different restrain policies around the world.

Social media have been playing a critical role in seeking and sharing health related information and consequently shaping individuals’ health behaviors. This study investigates how information seeking about Covid-19 vaccine on social media is related to vaccine receiving intentions. The study furthers explores the association of trust in social media and uncertainty about Covid-19 with information seeking and the moderating role of prior social media experience on this association.

We developed a questionnaire and collected data from 525 educated social media users through “Google Forms.” Further, we applied ordinary least squares (OLS) regress to test the study hypothesis.

We noted that trust in social media and uncertainty about Covid-19 vaccine positively influenced information seeking which further positively affected vaccine receiving intentions. However, the moderating effect of prior social media experience was not only noted as weak but also found negatively affecting the associations of trust in social media and uncertainty about Covid-19 vaccine with information seeking.

The findings provide insights into understanding of public perceptions regarding Covid-19 vaccine in the cultural contexts of a developing country. Further, it informs about the public patterns of seeking information related to health issues on social media, an understanding which may likely benefit policymakers, health care providers and researchers to understand the antecedents and behavioral outcomes of seeking information through social media during health crisis. The study also elucidates the leveraging power of social media to motivate the public to accept the Covid-19 vaccines.

The study uniquely combines the antecedents and behavioral outcomes of information seeking through social media in the particular context of Covid-19. It further extends the literature by introducing the conditional role of prior social media experience.

This study aims to reveal how the COVID-19 vaccine was accepted in the Japanese Twitter-sphere. This study explores how the topics related to the vaccine promotion project changed on Twitter and how the topics that were likely to spread changed during the vaccine promotion project.

The computational social science methodology was adopted. This study collected all tweets containing the word “vaccine” using the Twitter API from March to October 2021 and conducted the following analysis: analyzing frequent words and identifying topics likely to spread through the cosine similarity and Tobit model.

First, vaccine hesitancy–related words were frequently mentioned during the vaccine introduction and dissemination periods and had diffusing power only during the former period. Second, vaccine administration–related words were frequently mentioned and diffused through April to May and had diffusing power throughout the period. The background to these findings is that the sentiment of longing for vaccines outweighed that of hesitancy toward vaccines during this period.

This study finds that the timing of the rise in vaccine hesitation sentiment and the timing of the start of vaccine supply were misaligned. This is one of the reasons that Japan, which originally exhibited strong vaccine hesitancy, did not face vaccine hesitancy in the COVID-19 vaccine promotion project.

Seasonal influenza epidemics accounted for significant morbidity and mortality loads worldwide despite the availability of a safe vaccine as an efficient tool against severity of the disease. However, the uptake of the latter was sub-optimal. This study aims to identify predictors and barriers related to seasonal influenza vaccine uptake in the Kingdom of Bahrain.

A cross-sectional study enrolled 502 individuals attending primary healthcare centers in Bahrain for ambulatory care between July and August 2022. The data were collected using an interviews-based questionnaire which included questions on demographic data, knowledge and attitudes and practices toward influenza vaccine. The authors identified the barriers as well as the determinants of the vaccine uptake and its recommendation to others.

The mean age of participants was 35.07 years (SD = 13.9). Most of the respondents were Bahraini (86.5%) and 53.4 % were females. The results revealed that 34.1% have previous information about the influenza vaccine and 36.9% versus 69.9% are willing to receive the vaccine or advice it to others, respectively. Determinants of vaccine uptake were identified.

This study confirmed a sub-optimal influenza vaccine acceptance in the general community of Bahrain despite a global access in primary care. Health professionals need to be more proactive in mobilizing the community and particularly females toward influenza vaccination.

This study has aimed to analyse the role of innovation-sharing collaboration in the large-scale manufacturing of Covid-19 vaccination across the globe and its impact on the mortality rate of the countries where the pharmaceutical manufacturers received such innovation.

The authors have relied upon the difference-in-difference (DID) approach by utilizing the data available on public platforms such as World Health Organization (WHO) databank, organization for economic co-operation and development (OECD) data bank, istat, Indian bureau of statistics and European centre for disease prevention and control (ecdc) from 2020 to 2021 to establish the empirical inference of the analysis.

This study’s results present that after the invention and commercialization of the vaccine, the Covid-19 impact was still intact and people were dying continuously. However, it was impossible to fulfil the demand of the 7 billion population in a short time. In the light of these facts, the WHO encouraged sharing vaccine innovation with other countries to enhance production capacity. The authors found that after vaccine innovation sharing, Covid-19’s devastation slowed: the fatality rate was marginally reduced, and economic conditions started their recovery journey.

This study’s findings present that the Covid-19 vaccine played a pivotal role in tackling the Covid-19’s devastating impact on the entire world. It emphasizes the role of innovation-sharing collaborations in curtailing hazardous consequences, including the mortality rate during a crisis, and such collaborations’ impact on the countries where institutions involved in them reside.

Mucorales has been described to be widely distributed during the most recent COVID-19 pandemic, with a greater frequency of disease in India, particularly among those with immune deficiencies. This study aims to use computational tools to develop a vaccine.

The authors investigated at Mucorales proteins that had previously been associated to virulence factors. Recent research suggests that a vaccine based on high-level cytotoxic T lymphocyte (CTL), helper T lymphocyte (HTL) and B-cell lymphocyte (BCL) epitopes from diverse proteins might be developed. Furthermore, the vaccine assembly contains the targeted epitopes as well as PADRE peptides to induce an immune response. Computational approaches were used to analyze the immunological parameters used to build the suggested vaccine and validate its TLR-3 binding.

These studies show that the vaccination is capable of triggering a particular immune response. The authors offer a technique for developing and evaluating candidate vaccines using computational tools. To the best of their knowledge, this is the first immunoinformatic research of a prospective mucormycosis vaccine.

During this audit, a successful attempt was made to create a subunit MEV against black fungus. In the current study, MEV has been proposed as a suitable neutralizer candidate since it is immunogenic, secure, stable and interacts with human receptors. A stream study, on the other hand, is produced via a mixed vaccinosis approach. Following that, vaccinologists may perform more exploratory testing to evaluate whether the vaccine is effective.