Medical students hold significant importance, as they represent the future of healthcare provision. This study aimed to explore psychological antecedents towards the monkeypox (mpox) vaccines among postgraduate and undergraduate medical students across countries.

A cross-sectional survey was conducted among medical students aged 18 years old and above in 7 countries; Egypt, Romania, Malaysia, and Yemen, Iraq, India, and Nigeria. We used social media platforms between September 27 and November 4, 2022. An anonymous online survey using the 5C scale was conducted using snowball and convenience Sampling methods to assess the 5 psychological antecedents of vaccination (i.e., confidence, constraints, complacency, and calculation, as well as collective responsibility).

A total of 2780 participants were recruited. Participants’ median age was 22 years and 52.1% of them were males. The 5C psychological antecedents of vaccination were as follows: 55% were confident about vaccination, 10% were complacent, 12% experienced constraints, and 41% calculated the risk and benefit. Lastly, 32% were willing to be vaccinated for the prevention of infection transmission to others. The Country was a significant predictor of confidence, complacency, having constraints, and calculation domains (P < 0.001). Having any idea about the mpox vaccine was linked to 1.6 times higher odds of being more confident [OR = 1.58 (95% CI, 1.26–1.98), P < 0.001] Additionally, living in a rural area significantly increased complacency [OR = 1.42 (95% CI, 1.05–1.95), P = 0.024] as well as having anyone die from mpox [OR = 3.3 (95% CI, 1.64–6.68), P < 0.001]. Education level was associated with increased calculation [OR = 2.74 (95% CI, 1.62–4.64), P < 0.001]. Moreover, being single and having no chronic diseases significantly increased the calculation domain [OR = 1.40 (95% CI, 1.06–1.98), P = 0.02] and [OR = 1.54 (95% CI, 1.10–2.16), P = 0.012] respectively. Predictors of collective responsibility were age 31–45 years [OR = 2.89 (95% CI, 1.29–6.48), P = 0.01], being single [OR = 2.76 (95% CI, 1.94 -3.92), P < 0.001], being a graduate [OR = 1.59 (95% CI (1.32–1.92), P < 0.001], having no chronic disease [OR = 2.14 (95% CI, 1.56–2.93), P < 0.001], and not knowing anyone who died from mpox [OR = 2.54 (95% CI, 1.39–4.64), P < 0.001), as well as living in a middle-income country [OR = 0.623, (95% CI, 0.51–0.73), P < 0.001].

This study underscores the multifaceted nature of psychological antecedents of vaccination, emphasizing the impact of socio-demographic factors, geographic location, and awareness, as well as previous experiences on individual attitudes and collective responsibility towards vaccination.

Vaccination is crucial to fighting the coronavirus disease (COVID-19) pandemic. A large body of literature investigates the effect of the initiation of the COVID-19 vaccination in case numbers in Turkey, including the resistance and willingness to taking the vaccine. The effect of early relaxation in the Turkish public with the initiation of vaccination on new daily cases is unknown.

This study performs an event study analysis to explore the pre-relaxation effect of vaccination on the Turkish public by using daily data of new cases, stringency index, and residential mobility. Two events are comparatively defined as the vaccination of the health personnel (Event 1) and the citizens age 65 and over (Event 2). The initial dates of these events are January 13 and February 12, 2021, respectively. The length of the estimation window is determined as 14 days for the 2 events. To represent only the early stages of the vaccination, the study period ends on April 12, 2021. Thus, whereas the event window of Event 1 includes 90 observations, Event 2 covers 60 observations.

While average values of residential mobility, stringency index, and daily numbers of cases are 15.36, 71.03, and 11 978.93 in the estimation window for Event 1, these averages are 8.89, 70.88, and 17 303.20 in the event window. For Event 2, the same average values are 9.14, 69.38, and 7 664.93 in the estimation window and 8.25, 71.12, and 22 319.10 in the event window. When 14-day abnormal growth rates of the daily number of cases for Event 1 and Event 2 are compared, it is observed that Event 1 has negative growth rates initially and reaches a 7.59% growth at most. On the other hand, Event 2 starts with a 1.11% growth rate, and having a steady increase, it reaches a 23.70% growth in the last 14 days of the study period.

The preliminary result shows that, despite taking more strict governmental measures, while residential mobility decreases, the daily number of COVID-19 cases increases in the early stages of vaccination compared to short pre-periods of it. This indicates that the initiation of vaccination leads to early behavioral relaxation in public. Moreover, the effect of Event 2 on the case numbers is more significant and immediate, compared to that of Event 1, which may be linked to the characteristic of the Turkish culture being more sensitive to the older adult population.

The study aimed at investigating the social, demographic, and economic factors affecting Covid-19 vaccine decisions before the vaccination started in Turkey. The study also aimed to understand the attitudes towards Covid-19 vaccines.

The study was conducted by exploiting the data of 693 individuals living in Turkey. The data was collected via a virtually applied questionnaire according to snowball sampling in late 2020 when the vaccination program had not started in Turkey yet. Multinomial logistic regression design was used to identify the factors affecting Covid-19 vaccine decisions.

It was observed that Covid-19 vaccine acceptance was notably low before the vaccination started in Turkey. Further, almost 50% of the participants were indecisive about getting vaccinated. It was identified that age, gender, educational status, and residential status, as well as occupational status, the number of dependents, smoking, and the vaccination of governmental authorities, have associations with Covid-19 vaccination decisions.

Covid-19 vaccine acceptance is generally low, although it is relatively high among vulnerable groups (i.e., the elderly and smokers), and among those who are unable to isolate themselves. In addition, the vaccination of governmental authorities is remarkably effective on Covid-19 vaccine acceptance in Turkey.

In our country, there are childhood vaccinations that are not included in the routine vaccination schedule and that families have to buy and have for a fee. In addition to income level, family physicians’ recommendations also play a major role in getting these vaccines.

Our study was planned to determine the level of knowledge, attitudes and behaviors of family physicians about rotavirus, HPV and meningococcal vaccines, which are not included in the routine vaccination scheme of the Ministry of Health.

Our cross-sectional and descriptive study was carried out between May and July 2019. The population of our study consists of approximately 30 000 family physicians working as Family Physicians in Turkey. When the sample size is calculated with 5% margin of error and 95% confidence interval, it turns out to be 381. A 15-question questionnaire prepared by scanning the literature and including socio-demographic characteristics was presented to the participants. The Likert scale, which includes 12 questions about rotavirus, meningococcus, HPV and vaccines developed for these microorganisms, was administered to physicians either face-to-face or via the internet. In our study, the statistical significance level was accepted as P < 0.05, and the SPSS statistical package program was used in the calculations.

81 Research Assistants, 62 Family Medicine Specialists and 234 Family Physicians participated in our study, and the participants were determined by simple random sampling method. The mean age of the participating physicians was 37.96 ± 9.3 (min: 25 and max: 68). 50.9% of the physicians were women, 79.8% were married, 85.1% were in the city center, and 62.1% were practicing family medicine as general practitioners. 74.82% of the participating physicians recommend rotavirus and 56.2% HPV vaccines to their patients. 10.6% (40 people) of the physicians participating in our study did not recommend any of the rotavirus, HPV, meningococcal, influenza and adult pertussis vaccines to their patients. In the evaluation of the reason for this, 58.7% (27 people) of physicians who did not recommend special vaccines state that they did not recommend vaccines because they are not included in the routine vaccination schedule of the Ministry of Health. Another important reason was that the vaccines are paid (30.4%, 14 people). To the question of having sufficient information about special vaccines that are not included in the routine vaccination schedule, 26% of the participants stated that they have sufficient knowledge, and 56.5% stated that they have partial knowledge. The Likert knowledge questions total score of those who recommended at least one vaccine to their patients was significantly higher than those who did not recommend it at all. Likert knowledge questions total score of those who had at least one vaccination was significantly higher than those who never had it (P = 0.001).

In general, as the level of knowledge about private vaccines decreases, the rates of self-vaccination, recommending it to their patients, and asking it to be included in the national vaccine schedule decrease. For this reason, increasing the knowledge of physicians about vaccines not included in the national vaccination schedule will contribute to the dissemination of vaccines, thus increasing immunity and reducing mortality and morbidity.

This review aims are to (1) identify relevant quantitative research on parental childhood vaccine hesitancy with vaccine uptake and vaccination intention being relevant outcomes and (2) map the gaps in knowledge on vaccine hesitancy to develop suggestions for further research and to guide interventions in this field.

Vaccine hesitancy recognises a continuum between vaccine acceptance and vaccine refusal, de-polarising past anti-vaccine, and pro-vaccine categorisations of individuals and groups. Vaccine hesitancy poses a serious challenge to international efforts to lessen the burden of vaccine-preventable diseases. Potential vaccination barriers must be identified to inform initiatives aimed at increasing vaccine awareness, acceptance, and uptake.

Five databases were searched for peer-reviewed articles published between 1998 and 2020 in the fields of medicine, nursing, public health, biological sciences, and social sciences. Across these datasets, a comprehensive search technique was used to identify multiple variables of public trust, confidence, and hesitancy about vaccines. Using PRISMA guidelines, 34 papers were included so long as they focused on childhood immunisations, employed multivariate analysis, and were published during the time frame. Significant challenges to vaccine uptake or intention were identified in these studies. Barriers to vaccination for the target populations were grouped using conceptual frameworks based on the Protection Motivation Theory and the World Health Organization’s Strategic Advisory Group of Experts on Immunization Working Group model and explored using the 5C psychological antecedents of vaccination.

Although several characteristics were shown to relate to vaccine hesitancy, they do not allow for a thorough classification or proof of their individual and comparative level of influence. Understudied themes were also discovered during the review. Lack of confidence, complacency, constraints, calculation, and collective responsibility have all been highlighted as barriers to vaccination uptake among parents to different degrees.

The present study aims to examine coronavirus disease 2019 (COVID-19) vaccination discussions on Twitter in Turkey and conduct sentiment analysis.

The current study performed sentiment analysis of Twitter data with the artificial intelligence (AI) Natural Language Processing (NLP) method. The tweets were retrieved retrospectively from March 10, 2020, when the first COVID-19 case was seen in Turkey, to April 18, 2022. A total of 10,308 tweets accessed. The data were filtered before analysis due to excessive noise. First, the text is tokenized. Many steps were applied in normalizing texts. Tweets about the COVID-19 vaccines were classified according to basic emotion categories using sentiment analysis. The resulting dataset was used for training and testing ML (ML) classifiers.

It was determined that 7.50% of the tweeters had positive, 0.59% negative, and 91.91% neutral opinions about the COVID-19 vaccination. When the accuracy values of the ML algorithms used in this study were examined, it was seen that the XGBoost (XGB) algorithm had higher scores.

Three of 4 tweets consist of negative and neutral emotions. The responsibility of professional chambers and the public is essential in transforming these neutral and negative feelings into positive ones.