Background The impact of COVID-19 towards psychology and mental health is anticipated to be significant and may affect the population disproportionately, especially adolescent as the vulnerable category. We aimed to analyze the impact of COVID-19 towards adolescents’ mental health. Main body A systematic search was conducted from Cochrane, Google Scholar, Scielo, and PubMed. Inclusion criteria included all types of studies which observed the effect of COVID-19 and its related causes, such as lockdown, on adolescents’ mental health. All studies were assessed for its level of evidence according to Oxford 2011 criteria and Newcastle Ottawa Scale (NOS). Three studies (Seçer and Ulaş, Int J Ment Health Addict: 1–14, 2020; Zhou et al., Eur Child Adolesc Psychiatry 29:749–58, 2020; Qu et al., Lancet: 1–17, 2020) showed that COVID-19 was a risk factor for mental health problems in adolescents while Oosterhoff et al. (J Adolesc Health 67: 179–185, 2020) showed that adolescents who preferred to stay at home during this pandemic reported less anxiety and depressive symptoms Conclusion COVID-19 has been found to be associated with mental health changes in adolescents which meant management of COVID-19 should also focus on mental health as well.

Introduction. Mobile health (mHealth) applications gain popularity due to the increasing number of mobile phone usage and internet penetration, which might help some of Indonesia’s medical issues. However, the uptake of mHealth applications is still low in Indonesia. This study is aimed at understanding the factors that drive individuals to adopt mHealth applications and their impact on the intention to recommend. Methods. We applied a new model that combines three different theories with some other constructs: an extended unified theory of acceptance and use of technology, diffusion of innovation, and the internet customer trust model. The study used a cross-sectional study design with partial least squares causal modeling approach. Results. There are 787 respondents in our study, with the majority of them being female, young adults. Our model could explain 53.2% of the variance of intention to adopt while explaining 48.3% of the variance of intention to recommend. Initial trust in mHealth platform ( β = 0.373 , p = < 0.001 ), facilitating conditions ( β = 0.131 , p = < 0.01 ), and performance expectancy ( β = 0.099 , p = < 0.05 ) are the top three most important drivers of intention to adopt mHealth applications. Lastly, importance-performance map analysis (IPMA) showed that the mHealth application’s initial trust is the most important construct with a high-performance score. Discussion. Mobile health developers and managers need to improve initial trust in the mHealth platform, facilitating conditions, and performance expectancy when developing the applications. With a medium Q 2 predict , these factors can be applied out of the research context with medium predictive power.

Background The incidence of COVID-19 is still rapidly increasing, but little is known about the prevalence and characteristics of fatal cases in children in Indonesia. This study aims to describe the characteristics of pediatric COVID-19 cases with fatal outcomes in Indonesia's tertiary referral hospital. Methods This is a cross-sectional study with data collected from the medical records of COVID-19 patients admitted to Dr. Cipto Mangunkusumo Hospital, Jakarta, Indonesia, from March to October 2020. Results During the study period, 490 patients were admitted and diagnosed with suspected and probable COVID-19. Of these patients, 50 (10.2%) were confirmed to have COVID-19, of which 20 (40%) patients with positive tests for SARS-CoV-2 had a fatal outcome. The fatality was higher in patients ≥10 years old, categorized with severe disease upon admission, with PaO 2 /FiO 2 ratios of ≤300 mmHg and chronic underlying diseases. The most common clinical manifestations were generalized symptoms, while acute respiratory distress syndrome (8/20) and septic shock (7/20) were the two most common causes of death. Increased procalcitonin, D-dimer, lactate dehydrogenase, and presepsin levels were found in all fatal COVID-19 cases. One patient met the criteria of multisystem inflammatory syndrome in children (MIS-C). Conclusion Our work highlights the high mortality rate in pediatric patients positive for the COVID-19 test. Further studies are needed to understand better the role of SARS-CoV-2 in elaborating the mechanisms leading to death in children with comorbidities.

Introduction Increasing the rate of vaccination is crucial in combating the COVID-19 pandemic. However, a survey of 112,888 Indonesians found that only 64.8% Indonesians were willing to be vaccinated, with 7.6% refusing all vaccines and 27.6% are unsure. Several factors were related to this vaccine hesitancy and refusal, such as cognitive reflection, trust in authoritative figures, and personality traits. This study aims to identify psychological determinants and other factors associated with vaccine hesitancy and vaccine refusal. This was a cross-sectional study with data collection done in March 2021 using a questionnaire. We collected demographic data, respondents' stance on vaccination, as well as their psychology measurement. IBM SPSS 26.0 (Statistical Package for the Social Sciences, IBM Corp., Armonk, NY, USA) was used for statistical analysis. Results The data of 190 respondents were collected for this study. There are 165 respondents (86.8%) who belong to “vaccine acceptance”, while 25 are “vaccine hesitance” or “vaccine resistance.” Multivariate analysis shows that frequency of COVID-19 tests (p = 0.03), smoking status (p = 0.035), agreeableness trait (p = 0.001), trust in government (p = 0.04) and trust in scientist (p = 0.049) are significantly associated with the two population. Conclusion Several demographic and psychological factors affect the COVID-19 vaccine acceptance. The government and other related parties should consider these factors when adjusting for future policies controlling the COVID-19 pandemic and increasing the vaccination rate.

Since the beginning of 2020, the world has been affected by the novel coronavirus COVID-19 pandemic. The virus’ infectious nature pushed all sectors to implement social distancing measures in an effort to limit its transmission, including the education sector. We searched PubMed and Science Direct on June 12th and found 24 papers that are relevant to our review. After the World Health Organization announced that COVID-19 is a global threat, various countries took a variety of measures to limit the disease spread such as social distancing, self-quarantine, and closing public facilities that hold large gatherings, including universities and schools. Hospitals started to prioritize services for COVID-19 cases. Medical education programs are also affected by this disease, but not continuing in-person classes outweighs any benefit from traditional teaching methods. The previous Severe Acute Respiratory Syndrome (SARS) and Middle East Respiratory Syndrome (MERS) pandemics have shown ways to shift medical education to online platforms. In the current pandemic, online meetings are being used to hold lectures, classes, laboratory practices, and clinical skills classes. For clerkship students, online platforms might not be feasible because this eliminates patient-doctor relationships, but it appears for now to be the only option. Some institutions have involved medical students in the frontlines altogether. We encourage all parties to constantly evaluate, review, and improve the efforts of continuing medical education, especially during this pandemic. Further research is needed to evaluate students’ performance after adopting e-learning and to discover the best methods in medical education in general and clerkship education in particular.

Background Little is known how COVID-19 is affecting children. Autopsies help gain an understanding of the pathophysiology of new and developing diseases. Numerous post-mortem studies had been conducted in adults with COVID-19, but few in children. Thereby, this systematic review aims to investigate the autopsy findings from pediatric COVID-19 patients. Results There were a total of 15 patients from eight studies. COVID-19 mainly affects the heart and lungs. Pathology findings from the heart of COVID-19 pediatric patients include diffuse inflammatory infiltrate, myocarditis, cardiomyocyte necrosis, pericarditis, and interstitial edema. Histopathology abnormalities observed in the lungs are diffuse alveolar damage, cytopathic changes, thrombi in arterioles and septal capillaries, lung congestion, focal acute hemorrhage and edema, focal exudative changes, and mild pneumocyte hyperplasia. In addition, pathological findings from other organs, such as the liver, kidney, brain, bone marrow, lymph node, skin, spleen, muscle, colon, parotid gland, and adrenal of COVID-19 pediatric patients are also included in this review. Conclusion Cardiomyocyte necrosis, interstitial edema, lung congestion, and diffuse alveolar damage are the most significant pathologic findings of the heart and lung in pediatric COVID-19 patients. More studies are needed to elucidate the pathophysiology of SARS-CoV-2 in autopsy findings and to determine the exact cause of death since it could be related to COVID-19 or other comorbidities.

Background While the number of cases of multisystem inflammatory syndrome in children (MIS-C) is increasing, reported cases in Asian countries are still low, particularly in Indonesia. This study aimed to describe the characteristics of patients with MIS-C in a tertiary referral hospital in Indonesia. Methods This is a cross-sectional study with collected data of patients with MIS-C admitted to Dr. Cipto Mangunkusumo from March 2020 to April 2021. Results The first case of MIS-C was detected 5 months after the first reported coronavirus disease 2019 case in Indonesia. Thirteen patients out of 158 positive admitted patients for COVID-19 were diagnosed with MIS-C during the study period. Of these 13 patients, 2 patients (15%) had a fatal outcome. Subjects were predominantly male, and the median age was 7.58 years (IQR 12.3) years. Most patients required mechanical ventilation (7 out of 13 patients) and intubation (8 out of 13 patients). Patients who needed intubation usually needed mechanical ventilation. All inflammatory markers, white blood cells, neutrophil counts, and all coagulation factor parameters (except for normal prothrombin time and activated partial prothrombin time) were elevated. The median time to MIS-C diagnosis was 2 days in the survivor group (n = 11) compared to 8.5 days in the non-survivor group (n = 2). Compared to the non-survivor group, those who survived spent more days in the hospital, received vasopressors earlier, and did not require mechanical ventilation as early as the non-survivors. Conclusions Our work highlights the differences in MIS-C clinical course, treatment, and clinical outcomes between the two groups.

Despite its importance in guiding public health decisions, studies on COVID-19 vaccination acceptance and its determinants in South East Asia (SEA) are lacking. Therefore, this study aims to determine the prevalence of COVID-19 vaccine acceptance and the variables influencing the vaccine’s acceptance. This review is registered under PROSPERO CRD42022352198. We included studies that reported vaccination acceptance from all SEA countries, utilising five academic databases (Pubmed, MEDLINE, Cochrane Library, Science Direct, and Google Scholar), three Indonesian databases (the Indonesian Scientific Journal Database, Neliti, and Indonesia One Search), two pre-print databases (MedRxiv and BioRxiv), and two Thailand databases (ThaiJo and Thai-Journal Citation Index). The analysis was conducted using STATA 17.0 with metaprop commands. The prevalence for COVID-19 vaccination acceptance in SEA was 71% (95%CI 69–74; I2 99.87%, PI: 68.6–73.5). Myanmar achieved the highest COVID-19 vaccination acceptance prevalence, with 86% (95%CI 84–89), followed by Vietnam with 82% (95% CI 79–85; I2 99.04%) and Malaysia with 78% (95%CI 72–84; I2 99.88%). None of the ten determinants studied (age, sex, education, previous COVID-19 infections, smoking and marriage status, health insurance, living together, chronic diseases, and healthcare workers) were significantly associated with acceptance. This result will be useful in guiding vaccination uptake in SEA.