Re-vaccination against SARS-COV2 in allogeneic HSCT patients: Repeated primary vaccines doses increases seroconversion rates

Patients undergoing treatment for haematological malignancies have been shown to have reduced antibody responses to vaccination against SARS-COV2. This is particularly important in patients who have undergone allogeneic haemopoietic stem cell transplantation (HSCT), in whom there is limited data about vaccine efficacy. In this retrospective single-centre analysis, we present data on serologic responses following one, two, three or four doses of either Pfizer-BioNTech (PB), AstraZeneca (AZ) or Moderna (MU) SARS-CoV- 2 vaccines from a series of 75 patients who have undergone allogeneic HSCT within 2 years from the time they were revaccinated. The seroconversion rates following post-HSCT vaccination were found to be 50.7%, 78%, 79% and 83% following the first, second, third and fourth primary post -HSCT vaccine doses, respectively. The median time from allograft to first revaccination was 145 days (range 79-700). Our findings suggest that failure to respond to the first SARS-CoV- 2 vaccine post-HSCT was associated with the presence of acute GVHD (p = 0.042) and treatment with rituximab within 12 months of vaccination (p = 0.019). A statistical trend was observed with the presence of chronic GVHD and failure to seroconvert following the second (p = 0.07) and third (p = 0.09) post-HSCT vaccine doses. Patients who had received one or more SARS-CoV- 2 vaccines prior to having an allogeneic stem cell transplant were more likely to demonstrate a positive antibody response following the first dose of revaccination against Sars-CoV- 2 (p = 0.019) and retained this seropositivity following subsequent doses. The incidence of confirmed COVID-19 diagnosis among this cohort at the time of analysis was 16%. 17% of these were hospitalised and there was one recorded death (8%) secondary to COVID-19 in a patient who was 15.7 months post allogeneic transplant. In summary, this study suggests that despite the initial low seroconversion rates observed postallogeneic transplant, increasing levels of antibody response are seen post the second primary vaccine dose. In addition, there seems to be lower risk of mortality secondary to COVID-19 in this vaccinated population, compared to what was reported in the earlier phases of the pandemic prior to use of SARS-COV2 vaccination. This adds support to the widely adopted policy of early full revaccination with repeat of primary vaccine doses and boosters post-HSCT to reduce mortality in this population. Finally, we have identified rituximab use and active GVHD as potential risk factors influencing serological responses to SARS-COV2 vaccination and further work should focus on further characterising this risk and optimum dosing schedule both pre-and post-transplant.

Assessment of the challenges and adaptation strategies of pediatric nurses in charge of caring for children with COVID-19

Background: Coronavirus Disease 2019 (COVID-19) is a pandemic cause severe acute respiratory syndrome. It is a major public health crisis threatening humanity since world war two. Aim(s): This study aimed to assess challenges and adaptation strategies of pediatric nurses in charge of caring for children with COVID-19. Methodology: A descriptive research design was used to conduct this study. Setting(s): This study was carried out at pediatric hospital affiliated to Fayoum university hospitals. A purposive sample of 100 nurses who providing care for children with COVID-19 in the previous mentioned setting. A structured interview questionnaire sheet consisted of four parts were used for data collection: Part (1): Assess characteristics of studied sample;Part (2): Assess pediatric nurses' knowledge regarding caring for children with COVID-19;Part (3): Challenges that faced pediatric nurses in caring of children with COVID-19;Part (4): Adaptation strategies used by pediatric nurses to face of COVID-19 of children. Result(s): The results showed that 55% of the studied nurses had unsatisfactory knowledge level of caring for children with COVID-19. Regarding total challenges 75% of studied nurses had psychological challenges and 65% of the studied nurses had high working pressure. Also, regard adaptation strategy 60%, 55% and 51% of the studied nurses not used cognitive and educational adaptation, psychological and emotional adaptation and physical adaptation respectively. Conclusion(s): The present study concluded that, there was highly statistically significant between total challenges of COVID-19 and total adaptation strategies among pediatric nurses in charge of caring for children with COVID-19. Recommendations: Continuous training program for pediatric nurses to improve using of the adaptation strategies of caring for children during the COVID-19.Copyright © 2023 Scientific Publishers of India. All rights reserved.

Mild Androgen Insensitivity Syndrome presenting in male with infertility and sexual difficulties

Androgen insensitivity syndrome has a wide spectrum of presentations. It results from a mutation in androgen receptor (AR) gene. It ranges from mild androgen insensitivity syndrome (MAIS) which is the mildest form to complete androgen insensitivity syndrome (CAIS). In case of MAIS, the abnormality that can be observed appears to be male infertility and sexual difficulties including premature ejaculation and erectile dysfunction. In this case report, we discuss a case of MAIS in a 37-year-old male who presented with infertility, premature ejaculation, and secondary erectile dysfunction.Copyright © 2023, Ibn Sina Trust. All rights reserved.

INTEGRATION OF SARS-CoV-2 RAPID ANTIGEN TEST IN HEALTH SERVICES IN KENYA AND CAMEROON

Background: Early diagnosis of COVID-19 is key to prevent severe cases and poor outcomes in vulnerable populations, including pregnant women and people living with HIV or infected with tuberculosis (TB). The feasibility of integration of SARS-CoV-2 antigen rapid diagnostic testing (Ag-RDT) into maternal neonatal, and child Health (MNCH);HIV;and TB clinics is unknown. Method(s): We analyzed data from a SARS-CoV-2 screen and test program implemented in 50 health facilities (25 in Kenya and 25 in Cameroon), integrating SARS-CoV-2 Ag-RDT in MNCH, HIV, and TB clinics between May and October 2022. Clients aged two and older attending MNCH, HIV, and TB clinics were offered SARS-CoV-2 screening, and those eligible were tested using SARS-CoV-2 Ag-RDT. Routine SARS-CoV-2 program data were captured through dedicated paper forms in Cameroon or an electronic medical record (EMR) interface in Kenya and transferred to a database for analysis. We estimated the proportion of clients screened and tested and the SARS-CoV-2 positivity rates. Result(s): Overall, 527,184 attendee visits were reported in Cameroon (282,404) and Kenya (244,780), with screening for COVID-19 symptoms and exposure performed in 256,033 (48.5%) with substantive variations between countries (62.6% in Cameroon and 32.4% in Kenya). Among the 256,033 screened, 19,058 (7.4%) were eligible for testing (9.0% in Cameroon and 3.9% in Kenya), of whom 12,925 (67.8%) were tested for SARS-CoV-2 with substantial variation in testing rates between countries (61.9% in Cameroon and 97.9% in Kenya) and clinics (59.9% in MNCH, 68.7% in HIV, and 92.8% in TB clinics). A total of 390 (3.0%) positive tests were identified (329 (3.3%) in Cameroon and 61 (2.0%) in Kenya). The estimated case detection rate was 1.26 (95% CI=0.76-1.75) per 1,000 attendee visits in Cameroon and 0.49 (95% CI=0.12-0.86) per 1,000 attendee visits in Kenya. Country integration strategy, facility level, setting, and clinic were independently associated with screening (Table 1) and testing. Conclusion(s): Integration of SARS-CoV-2 Ag-RDT in HIV, TB, and MNCH clinics was feasible in both countries despite challenges with low screening rates in Kenya and low testing rates in Cameroon. Decentralization of SARS-CoV-2 testing at different facility clinics allowed detection of SARS-CoV-2 cases among vulnerable populations. Integration strategies should consider facility settings (rural compared to urban) and additional human resources in high volume facilities to improve screening and testing rates.

Identification of potential SARS-CoV-2 papain-like protease inhibitors with the ability to interact with the catalytic triad

Severe acute respiratory syndrome corona virus2 (SARS-CoV-2) is responsible for the current pandemic that led to so many deaths across the globe and still has no effective medication. One attractive target is Papain-like protease (PLpro), which plays a critical role in viral replication. Several important structural features dictate access to the PLpro narrow active site, which includes a series of loops surrounding the area. As such, it is difficult for chemical compounds to fit the SARS-CoV-2 PLpro active site. This work employed a computational study to discover inhibitors that could bind to the SARS-COV-2 PLpro active site, mainly by virtual screening, molecular dynamic simulation, MMPBSA and ADMET analysis. Eight potential inhibitors were identified: carbonoperoxoic acid, Chrysophanol-9-anthrone, Adrenolutin, 1-Dehydroprogesterone, Cholest-22-ene-21-ol, Cis-13-Octadecenoic acid, Hydroxycarbonate and 1-(4-(4-Methylphenyl)-5-phenyl-1,3-oxazol-2-yl) isoquinoline, with binding scores of -4.4, -6.7, -5.9, -6.7, -7.0, -4.6, -4.5 and -5.6 kcal/mol, respectively. All these compounds interacted with critical PLpro catalytic residues and showed stable conformation in molecular dynamics simulations with significant binding energies of -12.73 kcal/mol, -10.89 kcal/mol, -7.20 kcal/mol, -16.25 kcal/mol, -19.00 kcal/mol, -5.00 kcal/mol, -13.21 kcal/mol and -12.45 kcal/mol, respectively, as revealed by MMPBSA analysis. ADMET analysis also indicated that they are safe for drug development. In this study, we identified novel compounds that interacted with the key catalytic residues of SARS-CoV-2 PLpro with the potential to be utilized for anti-Covid-19 drug development.

Profile of healthcare workers who contracted COVID-19 after vaccination against SARS-CoV-2

Introduction: Being at high-risk for COVID-19, healthcare workers (HCW) were prioritized in the beginning of vaccination campaigns in Tunisia. The emergence of several variants raises the issue of resistance and postvaccination infection. Aim(s): To study epidemiological and clinical characteristics of COVID-19 infection in HCW who previously had COVID19 vaccine. Method(s): Retrospective descriptive study focusing on Rabta hospital's HCW who presented themselves for a reinstatement visit after post-vaccination COVID-19 infection, from 15 March to 31 December 2021. Result(s): There were 122 HCW with a mean age of 42.8 years, a sex ratio of 0.5, and an average professional seniority of 13.8 years. 32% worked full-time in COVID-19 wards and13.1% had a history of COVID-19 before vaccination. Half had received two doses of vaccine. They were vaccinated mainly with mRNA (66.4%), viral vector (19.9%) or attenuated virus (12.3%). Symptoms appeared, on average, 35 days after the last dose of vaccine and the disease was confirmed by RT-PCR after 3 days of the symptom's onset. The main symptoms described were asthenia (66.4%), cough (66.4%), headache (62.3%), anosmia (64.8%), ageusia (55.7%), fever (52.2%), diarrhea (40.2%) ans dyspnea (21.3%). They were mainly put on symptomatic treatment and home rest for 11 days. However, 15% had an extension of their sick-leave and 2.5% presented a severe form requiring hospitalization. On return to work, 59.8% reported the persistence of symptoms including cough (18.9%), asthenia (11.5%), dyspnea (9.8%), anosmia and ageusia (7.4%). Conclusion(s): Vaccinated HCW presented mainly a mild form of COVID-19. Vaccination is an important and promising means to end this pandemic.

Respiratory symptomatology of Covid-19 in healthcare workers

Introduction: Health personnel are particularly exposed to the risk of contamination by SARS-CoV2. Various symptoms, particularly respiratory, have been described in this population. Objective(s): Determine the socio-professional, clinical and paraclinical characteristics of healthcare workers with Covid-19. Method(s): Descriptive cross-sectional study with health staff at Rabta hospital, suffering from Covid-19. The information was collected using a questionnaire administered by the doctor during the return to work consultation. Result(s): Our population included 418 health workers and was predominantly female (75.4%) with an average age of 41.5 +/- 10.5 years. They belonged to medical services in 40.1% of cases and held the position of nurse in 33.7% of cases. Contamination was intra-hospital in 45.7% of cases. A history of allergic asthma was noted in 7.4% of health workers. Respiratory symptoms were present in 63.9% of cases, mainly consisting of cough (45.9%) and dyspnea (28.9%). It was a moderate form in 24.2% of cases. A chest computed tomography was performed in 10.3% of cases, objectifying interstitial lung disease in 49% of cases. Hospitalization was necessary for 5.7% of staff with an average duration of 7.9 days. It was significantly related to the presence of respiratory signs (p<=10-3). On returning to work, 14.6% of affected personnel reported the persistence of exertional dyspnea. Conclusion(s): The respiratory signs of Covid-19, dominated by cough and dyspnea, were widely represented in our population and statistically associated with the need for hospitalization.

Forging clinical collaborations and cooperation in overcoming challenges for non-COVID-19 patients during COVID-19 times: Surgical case studies requiring a multidisciplinary and inter-agency approach in Malaysia

The COVID-19 pandemic has brought global health services to a standstill. National healthcare systems and medical staffing in many countries have reached crisis levels due to the phenomenal outbreak. Healthcare resources have been strained to meet the unprecedented numbers of patient admissions with a significant amount of funding and manpower being channelled towards tackling this global pandemic. Despite the rollout of vaccinations, the development of new viral strains has now presented a new challenge. With the inevitable conversion of tertiary public hospitals to specialized COVID-19 centres with 'Full Covid Status' and the mobilization of its doctors from all specialities to care for these patients, the non-COVID-19 patients are becoming more neglected. The lack of elective surgeries performed and non-emergent admissions due to the unavailability of beds and personnel to care for this group of patients are concerning. As most of the focus and resources are now aimed at COVID-19 patients, the need to forge collaborations and cooperation between hospitals, agencies and healthcare systems are pertinent to ensure the provision of quality treatment for those suffering from non-COVID-19 diseases. To highlight this effort in Malaysia, we would like to present 2 case studies of non-COVID-19 patients undergoing elective surgeries through intergovernmental ministerial collaborations and a public-private partnership.Copyright © The Author(s) 2022.

Personalised Geriatric Health Monitoring: The Need for Process Mining Approach

It is common for an elder person to live alone in today's environment, away from family care, especially during the movement control order due to the COVID-19 pandemic since 2020. This has brought to the concern of this study to justify the need for personalised geriatric health monitoring that adopts the process mining approach. Constant monitoring is deemed required in order to reduce the risk of sudden illness among the elders, as well as to reduce the need to be treated at the hospital when the capacity could be limited during critical time. As part of the findings, this paper presents the process flow of data capture on one of the four vital signs, showing the significance of time, frequency and duration in reading the data for further analysis to understand the pattern in health monitoring. The importance of process mining approach is amplified in terms of the context of time in health monitoring, and the context of personalisation due to the veracity across ageing population. This paper proposes the concept of health monitoring process model, which is produced by collectively analysing the process models of the vital signs. © 2022 IEEE.

Clinical characteristics and risk factors for mortality in patients with COVID-19: A retrospective nationwide study in Malaysia

Background: Age and multiple comorbidities have been reported to influence the case fatality rate of COVID-19 worldwide, so also in Malaysia;however, to date, no scientific study among the local population has been published to confirm this. This study aimed to determine the overall demographics and clinical characteristics of COVID-19 non-survivors in Malaysia, stratified by age (< 65 vs. >= 65 years old). The mortality was also compared between two half-year periods: March-August 2020 and September 2020-March 2021. Method(s): Daily reports containing demographics and medical history of COVID-19 non-survivors from March 2020 to March 2021 were obtained from the Malaysian Ministry of Health website. All information was extracted retrospectively and analysed using descriptive and inferential statistics with SPSS. Result(s): Of 1192 COVID-19 non-survivors, the overall mean (SD) age was 64.8 (15.7) years, with 64.7% male. Death was seen mostly among 50- to 64-year-olds (33.1%) and 65- to 74-year-olds (24.8%). The presence of underlying hypertension (61.8%) and diabetes mellitus (48.2%) were the most common comorbid diseases encountered in the COVID-19 non-survivors. Underlying hypertension, stroke, heart disease and dyslipidaemia were significantly higher among COVID-19 non-survivors who were >= 65 years old compared to those < 65 (p < 0.05). Mortality was a lot higher in September 2020-March 2021 compared to March 2020-August 2020 (91.3% vs. 8.3%). Conclusion(s): Older age, male gender and the presence of multimorbidity (hypertension, diabetes mellitus, stroke and heart disease) are risk factors that contribute to mortality due to COVID-19 in Malaysia, especially among those >= 65 years old. Copyright © The Author(s) 2022.

Acceptance, concerns and knowledge of COVID-19 vaccine: an early battle against the pandemic

Many COVID-19 vaccine candidates were clinically tested in response to the coronavirus pandemic. This study aims to determine the acceptance rate of, main concerns about and knowledge of COVID-19 vaccination among the Malaysian population based on different sociodemographic characteristics during the early stages of vaccine arrival in Malaysia. A cross-sectional online survey was performed between January 25, 2021 and February 1, 2021 using descriptive statistics, Likert scale analysis, hypothesis testing, correlation and regression. These statistics assessed the correlation between sociodemographic characteristics, exposure to COVID-19 vaccine information, as well as the perceived risk of infection and acceptance towards COVID-19 vaccines. There exist significant differences across sociodemographic variables. More than half of the respondents (58.85%) voted safety as their primary concern. Moreover, a medium correlation exists between knowledge and acceptance, r = 0.444, N = 2051, p<0.01. The linear regression equation of acceptance predicted by knowledge was Acceptance = 2.873 + 0.981 (Knowledge). This study's findings can help the government design the best way to execute COVID-19 vaccination campaigns in Malaysia, for example, the National COVID-19 Immunisation Programme. It also demonstrates that online questionnaires are appropriate for assessing health literacy skills and attitudes towards vaccination during infectious disease epidemics. It can also aid in the adaptation of medical communication tactics to better comprehend vaccination values.

Incorporation of ICT-Based Multimedia In Mathematics Learning During Covid-19 Pandemic: Its Effects On Students' Learning Activity, Interest, Motivation and Metacognitive Knowledge

The purpose of this study was to analyze and design general physics lectures material and produce products in the form of STEM-based general physics lectures. The lecture materials are designed and made to meet scientific, technological, engineering, and mathematical aspects so that they are relevant to learning in the fields of mathematics and natural sciences. This study uses the modification of the Thiagarajan and Sammel research and development method consisting of 4 stages, namely Define, Design, Developed, and Disseminate where this research is only carried out until the development stage. The results of the research data were analyzed using quantitative and descriptive analysis techniques from expert validation data and limited trials in the form of questionnaires on respondents. The results of the validation carried out on material experts showed that the general physics equipment designed had met the criteria with a good range. Furthermore, the results of the media expert validation show that the media which is part of the lecture device that is designed is suitable for use in general physics learning with very good criteria. Similar results were seen in the results of the user response test which showed that the general physics learning material that had been designed was feasible to be used in lecture activities because general physics learning became relevant and applicable to other majors in mathematics and natural sciences. © 2022 American Institute of Physics Inc.. All rights reserved.

La symptomatologie respiratoire du COVID long chez le personnel de sante de l'hopital la Rabta

Declaration de liens d'interets: Les auteurs declarent ne pas avoir de liens d'interets. Copyright © 2022

Conceptual Framework of Factors Affecting Online Teaching

This study will add to the body of knowledge by creating a conceptual framework around fundamental concepts related to examining the factors that influence the efficiency of online teaching. The framework is based on an assessment of the online teaching literature found using Emerald, Institute of Electrical and Electronics Engineers (IEEE) Explore, ProQuest, and Google Scholar searches. A conceptual matrix is used to combine the findings into a framework of online instruction and effectiveness. A questionnaire was utilized and 81 respondents participated in the survey. We found that Google Meet is the most used platform for online teaching. In terms of stress level, teachers between the ages of 36 and 50 are the most stressed. As per time spent on online teaching, most teachers spent 3-5 hours a day and we also found that the more hours spent on online teaching, the more benefit the teachers and students will get. The study's findings can help the school and Malaysia's Ministry of Education understand the factors that affect how well teachers can conduct online teaching. © 2022 by the authors.

Knowledge, Attitude and Practice on prevention of COVID- 19 among nursing students in UniKL Royal College of Medicine Perak

Introduction: COVID-19 infection is a serious global public health problem and prevention activities are ultimately important to combat this infection. It is more important for the Health Care Workers (HCW) to know and follow the preventive measures effectively as they are front liners in attending the infective patients. Therefore, this study aims to evaluate Knowledge, Attitude and Practice (KAP) towards prevention on COVID-19 among nursing students in UniKL RCMP which can be an indicator of KAP level of health care worker and the community. Material(s) and Method(s): A cross-sectional study was conducted among Diploma course student nurses in January to February 2022 using online questionnaire on KAP towards prevention of COVID- 19. Descriptive statistics were used for elaborating demographic characteristics and the KAP levels. Knowledge, attitude and practice of the participants were assessed using a scoring system and categorized to level of KAP. Kruskal Wallis tests were performed as the data were not normally distributed, to determine significant differences among various group year of study with KAP scores while correlation test was used to identify relationship between knowledge with attitude and practice. The significant level is set as < 0.05. All analyses were performed using SPSS version 25. Result(s) and Conclusion(s): Two hundred and fifty questionnaires were distributed and 210 were returned which response rate was 84.0%. Median scores of knowledge, attitude and practice were 18.0 +/- 1.9, 8.0 +/- 1.7 and 7.0 +/- 1.25 respectively. There are significant association between year of study with knowledge (p=0.024) with attitude (p=0.002). However, there is no significant association between year of study practice (p=0.179). Significant positive linear correlations between knowledge-attitude (r=0.466, p<0.01) and knowledge-practice (r=0.575, p<0.01) were observed. Level of Knowledge, Attitude and Practice of nursing students on prevention of COVID-19 in this study were good. There were also positive linear correlations confirms that better knowledge can lead to positive attitude and subsequently in good practices. This is expected finding among healthcare workers as they are future health care workers. Therefore, continuous teaching and emphasize should be provided to ensure the KAP level are good among the nursing students.

A qualitative description of nurses’ problems to monitor and supervise vital signs in COVID-19 patients in isolation room

Introduction: Changes and deterioration of the condition of Corona Virus Disease-19 (COVID-19) patients are unknown and can even lead to the death of the patient in the isolation room. This study focuses on identifying the problem of nurses monitoring and supervising the vital signs of COVID-19 patients in the isolation room. Methods: A descriptive qualitative study was conducted in January 2022 at a private hospital in Sukoharjo, Central Java. Ten participants who met the inclusion criteria were involved through purposive sampling. The semi-structured interview guidelines were developed by the researcher, and they used them to obtain the data. Interviews were recorded using a recorder device. The data from the interviews were recorded verbatim and analyzed using inductive content analysis following Elo and Kyngas’s method. The member checking and thick description were done to maintain the validity of the data. Results: Three main themes were found from the emerging data, including 1) the comparison of nurses and patients is not ideal with patients’ conditions that cannot be predicted, 2) personal protective equipment (PPE) and monitoring tools have not reached the appropriateness target, and 3) the demand for high-technology vital sign monitoring devices was not feasible. Conclusions: The problems being faced by the nurses in monitoring and supervising the vital signs of COVID-19 patients in the isolation room need innovative tools. Therefore, it is important for policymakers and related parties to create high-technology solutions for the isolation rooms to improve nursing service effectively and ensure the safety of both the patients and the nurses. © 2022 Jurnal Ners. This is an open-access article distributed under the terms of the Creative.

Mother as a Teacher at Home: Challenges and Opportunities for Parental Involvement in Online Mathematics Learning for Elementary School Students

Apart from changing learning and teaching habits, the COVID-19 pandemic has also affected the way parents involve themselves in learning from home. This study explores the challenges parents face when participating in online learning during the COVID-19 pandemic and what ways can be done to encourage students to learn mathematics online. We use multiple case studies to achieve research objectives. This study involved eight mothers of children in elementary school. Six of them are housewives, and the rest are govern-ment employees. Semi-structured interviews were used to gather data. Aside from technical constraints such as the availability of internet networks and infrastructure, the findings of this study show that technological literacy and parental involvement in cognitive, emotional, social, and pedagogical aspects are still lacking. We discussed four key findings, including issues with network availability and technological literacy, issues with parents’ routine work and how to accompany their children, parents’ beliefs about mathematics, and parental involvement in cognitive, affective, social, and pedagogical aspects. Finally, the parents’ learning community must be accommodated, developed, and assisted for their involvement to be more effective. © 2022, Adam Marszalek Publishing House. All rights reserved.

Prediction of Student‘s Academic Performance during Online Learning Based on Regression in Support Vector Machine

Since the Movement Control Order (MCO) was adopted, all the universities have implemented and modified the principle of online learning and teaching in consequence of Covid-19. This situation has relatively affected the students’ academic performance. Therefore, this paper employs the regression method in Support Vector Machine (SVM) to investigate the prediction of students’ academic performance in online learning during the Covid-19 pandemic. The data was collected from undergraduate students of the Department of Mathematics, Faculty of Science and Mathematics, Sultan Idris Education University (UPSI). Students’ Cumulative Grade Point Average (CGPA) during online learning indicates their academic performance. The algorithm of Support Vector Machine (SVM) as a machine learning was employed to construct a prediction model of students’ academic performance., Two parameters, namely C (cost) and epsilon of the Support Vector Machine (SVM) algorithm should be identified first prior to further analysis. The best parameter C (cost) and epsilon in SVM regression are 4 and 0.8. The parameters then were used for four kernels, i.e., radial basis function kernel, linear kernel, polynomial kernel, and sigmoid kernel. from the findings, the finest type of kernel is the radial basis function kernel, with the lowest support vector value and the lowest Root Mean Square Error (RMSE) which are 27 and 0.2557. Based on the research, the results show that the pattern of prediction of students’ academic performance is similar to the current CGPA. Therefore, Support Vector Machine regression can predict students’ academic performance. © 2022 by the authors.