Countries worldwide have deployed mass COVID-19 vaccination drives, but there are people who are hesitant to receive the vaccine. Studies assessing the factors associated with COVID-19 vaccination hesitancy are inconclusive. This study aimed to assess the global prevalence of COVID-19 vaccination hesitancy and determine the potential factors associated with such hesitancy. We performed an organized search for relevant articles in PubMed, Scopus, and Web of Science. Extraction of the required information was performed for each study. A single-arm meta-analysis was performed to determine the global prevalence of COVID-19 vaccination hesitancy; the potential factors related to vaccine hesitancy were analyzed using a Z-test. A total of 56 articles were included in our analysis. We found that the global prevalence of COVID-19 vaccination hesitancy was 25%. Being a woman, being a 50-year-old or younger, being single, being unemployed, living in a household with five or more individuals, having an educational attainment lower than an undergraduate degree, having a non-healthcare-related job and considering COVID-19 vaccines to be unsafe were associated with a higher risk of vaccination hesitancy. In contrast, living with children at home, maintaining physical distancing norms, having ever tested for COVID-19, and having a history of influenza vaccination in the past few years were associated with a lower risk of hesitancy to COVID-19 vaccination. Our study provides valuable information on COVID-19 vaccination hesitancy, and we recommend special interventions in the sub-populations with increased risk to reduce COVID-19 vaccine hesitancy.

Abstract The Covid-19 pandemic can influence the mental condition of patients and affect their immunity levels. This article aims to investigate the mental health symptoms and disorders of Covid-19 survivors. This was observational and cross-sectional research. A total of 175 respondents participated, 84% of them being women and 16% being men. Their work history includes health workers at 75.4% and others at 24.6%. Respondents who have experienced anxiety are 32%, sadness was 25.7%, fear was 22.9%, and panic was 14.3%. The logistic regression showed that all of the tested characteristics have no significant effect on the respondents’ mental states of anxiety, fear, and panic, with p-values ​​of 0.388, 0.893, and 0.166; 0.245, 0.691, and 0.353; 0.612, 0.410, and 0.828. However, from the test results, it was observed that gender has a significant effect on sadness with a p-value of 0.027 and OR value of 5.308 (CI = 1.204-23.399). The percentage of women respondents that experienced sadness was 29.3% and men respondents were 7.1%. Other characteristics, which are age and work history, have no significant effect on sadness, with p-values ​​of 0.650 and 0.844 respectively.  There are no variables that affect anxiety, fear, and panic. Feelings of sadness in patients are influenced by gender. Keywords: anxiety; Covid-19; mental disorder; mental health

Background: Healthcare workers in Indonesia have been prioritized for vaccination. Nevertheless, fully vaccinated healthcare workers are still at risk of being infected with COVID-19, but will be less likely to develop severe symptoms, be hospitalized or be at risk for death as compared to those who have not been vaccinated. Objectives: This study aims to analyze the incidence of COVID-19 in fully vaccinated healthcare workers. Methods: This cross-sectional study was conducted in 2021. All healthcare workers who have been fully vaccinated, have recovered from COVID-19 (2-4 weeks after vaccination) and able to complete a questionnaire were the participants. The collected data was then analyzed using the cascade method. Results: Based on the 529 collected questionnaires, by using the cascade analysis conclude that the percentage of healthcare workers who have been fully vaccinated was 99%, healthcare workers who have been fully vaccinated and then infected with COVID-19 was 14%, healthcare workers who have been fully vaccinated, infected with COVID-19 and hospitalized was 4%, healthcare workers who have been fully vaccinated, exposed to COVID-19, hospitalized and experienced the long-haul effect of COVID-19 was 0%. Discussion: Health workers are still at risk of being confirmed by COVID-19, because have high risk of being exposed in the workplace. The risk of being confirmed and severity are also influenced by age, gender and comorbidities. Conclusions: Complete vaccinations of healthcare workers did not reduce their risk of being infected with COVID-19, however, it can reduce the severity and the risk of the long-haul effects.

Long-term COVID-19 could occur in COVID-19 patients, affecting the patient's quality of life, and becoming a  problem for public health. However, information is rarely on factors associated with the occurrence of long COVID-19 cases. This study analyzed factors associated with long-term COVID-19. The study was an observational cross-sectional, conducted in August 2021. The data were collected through a Google form questionnaire distributed to COVID-19 survivors in Indonesian. They must be aged more than 17 years to meet the inclusion criteria, while those with incomplete data were excluded. The data were processed by using SPSS 21 with an ordinal regression test in which an alpha level was 5%. As many as 101 from 16 men (15.8%) and 85 women (84.2%) were obtained. Comorbid status (p-value = 0.001) and duration of treatment (p-value = 0.034 and 0.015) had a significant association with the occurrence of long-term COVID-19. Meanwhile, age, gender, occupation, type of care, and vaccination status were not likely associated with long-term COVID-19. COVID-19 patients with comorbidity and a long duration of treatment are more likely to experience long-term COVID-19. Keywords: COVID-19, long-term COVID-19, factor, public health

Insomnia was a problem of Covid-19 patients often moaned because the physical and psychological condition of patients are weak. This study aims to analyze the association between respondent’s characteristics, social factors, and medication adherence with insomnia when Covid-19 survivor become isolated patients. This study used a descriptive and analytical cross-sectional design. The study was conducted in August 2021. The population of this study was all Covid-19 survivors. The sample of this study was part of Covid-19 survivors with a total number of 191. Data were collected by an online questionnaire via google form and analyzed by chi-square test. Almost all respondents (83.77%) were female, and most of the respondents (73.30%) worked as health workers. The age mean of the respondents was 31.51 (SD 8.82, min=18, max=60). Insomnia was experienced by almost half of the respondents (41.36%). There was no association between sex (OR = 1.92, 95% CI 0.89-4.17; p=0.113), type of work (OR = 1.11, 95% CI 0.58-2.11; p=0.868), medication adherence (OR = 0.47, 95% CI 0.05-4.56; p=0.644), and motivation (p=0.269) with insomnia. There was an association between optimism (p=0.043) and discrimination (OR=4.19, 95% CI 1.86-9.43, p=0.001) with insomnia. Insomnia was experienced by almost half of isolated patients in inpatient rooms of Indonesian health care facilities. Factors associated with insomnia were optimism and discrimination. Treatment for Covid-19 patients should pay attention to their physical care and give psychological care.