Educator Perspectives on Stressors and Health: A qualitative study of U.S. K-12 educators in February 2022 (preprint)

Background The teaching profession, already characterized by high stress and burnout, experienced exacerbated challenges during the height of the COVID-19 pandemic. While educators faced changing job demands over the course of the pandemic with switches in remote and in-person teaching along with COVID-19 transmission prevention strategies, the demands and resulting impact in the years that follow are still being explored. We sought to understand the stressors and health impacts of U.S. educators in the 2021–2022 school year, 2 years following the acute phase of the pandemic.Methods Thirty-four certified educators based in Connecticut, USA participated in 4 virtual focus groups in February 2022. A semi-structured focus group script, designed by the research team and guided by the job demands-resources model, was administered to understand stress impacts and stressors. Data were transcribed and analyzed using the constant comparative method to identify themes and sub-themes. Themes were summarized by frequency as well as by individuals.Results The majority of respondents reported educator well-being impacts of stress fell into three categories: physical health impacts and behaviors (76%; e.g. poor sleep, physical exhaustion, lack of exercise, unhealthy eating), psychological health impacts (62%; e.g. emotional exhaustion, anxiety, negative self-evaluation); and social well-being impacts and behaviors (68%; e.g. connections with family or friends, connections with others, relationships with coworkers). Sources of reported stressors included the school or district (94%), personal (65%), situational (35%), and to a lesser extent parents (24%), other work factors (15%), community (12%), students (12%), and state or national level (9%) factors. At the school/district level, stressors were related to protocols/expectations (91%, e.g. excessive or increased demands, insufficient or decreased resources) or administrators (38%). Personal level stressors included personal life (41%); other personal factors (20%); and income (17%); situational factors included the pandemic (26%) and safety concerns (9%).Conclusion Focus groups allowed us to assess the health and working conditions of Connecticut’s public education workforce 2 years following the acute phase of the pandemic. Lasting effects are relevant in the post-pandemic era and continue to pose challenges as teacher shortages increase. Targeted interventions are needed to reduce school and district-related demands and to address stress-related educator well-being.

Patients Characteristics, Vaccine Uptake, Healthcare Resource Utilization and Costs Associated with Acute COVID-19 during the Omicron Predominant Period in Brazil: A Nationwide Database Study

Objectives: The coronavirus disease 2019 (COVID-19) pandemic has imposed significant burden on Brazil's health system. The present study aims to describe patients' demographic and clinical characteristics, vaccine uptake and assess healthcare resource utilization (HCRU) and costs associated with acute COVID-19 in Brazil during the Omicron predominant period. Method(s): A population-based retrospective study was conducted using the National Health Data Network (RNDS), National Vaccination Campaign against COVID-19 data and surveillance data in public setting. Individuals with positive COVID-19 test results between January-April 2022 were identified. Patients' demographics, comorbidities, vaccination status, HCRU for those who were admitted to hospitals and their associated costs were described by age groups. Result(s): A total of 8,160,715 COVID-19 cases were identified and 2.7% were aged <5 years, 11.6% were 5-19 years, 76.9% were 20-64 years and 8.7% were >= 65 years. The presence of comorbidity was 23.1% with a higher prevalence of comorbidities in the elderly (61.8% for 65-74 years and 71.2% for >=75 years). Regarding COVID -19 vaccination uptake, among those aged <=19 years, 20-64 years and >=65 years, 40.6%, 86.5% and 92.2% had primary series, respectively. Among adults, the booster uptake was 47.3% and 75.8% for those aged 20-64 years and >= 65 years, respectively. Among those with confirmed COVID-19, regardless of vaccination status, 87% were being symptomatic and 1.7% were hospitalized (3.8% in aged <5 years, 4.2% in 5-19 years, 34.3% in 20-64 years and 57.6% in >= 65 years). Among hospitalized patients, 32,6% were admitted to ICU and 80% required mechanical ventilation support. The average cost per day in normal wards and ICU without ventilation was R$291,89 and R$923,90, respectively. Conclusion(s): Our results quantify the public health and economic burden of COVID-19 in Brazil, suggesting substantial healthcare resources required to manage the COVID-19 pandemic.Copyright © 2023

Prediction of Covid-19 transmission in India using deep learning neural network

Time series forecasting is a decisive step in data modeling and a significant area in machine learning. This paper presents Long short-term memory (LSTM) network, a deep learning neural network for predicting Covid-19 cases in India. The neural network models are trained and tested with Covid-19 case data sets obtained from PRS Legislative Research database. Further, the parameter optimization is carried out for choosing the optimal network. The parameters considered for evaluating the performance of LSTM network are RMSE, number of epochs, accuracy and loss. The results are compared with various recurrent neural network models and autoregressive model. The results revealed an improved accuracy of 92.8% for LSTM network in predicting the transmission of Covid-19 in India. © 2023 Author(s).

Prevalence of Post-traumatic Stress Disorder in People With a History of Hospitalization With COVID-19 and Its Relationship With Socio-economic Status

Background: COVID-19 has had many negative consequences in all aspects of human life, especially physical and mental health. This study aims to determine the prevalence of post-traumatic stress disorder (PTSD) in people with a history of hospitalization with COVID-19 and its relationship with socio-economic status (SES). Materials and Methods: The present study was a cross-sectional descriptive study and the statistical population of the study included all people with a history of being infected with COVID-19 and subsequent hospitalization in Shohada Hospital of Sarpol-e Zahab, Kermanshah Province, Iran. The sample members were randomly selected from the list of hospitalized patients. A total of 479 people were evaluated face to face using the PTSD Checklist Scale (PCL-S) questionnaire to examine PTSD, as well as the Ghodrat Nama et al.'s SES questionnaire to determine the SES. The data were analyzed using SPSS software, version 21 and by Chi-square test, one-way ANOVA, and Pearson correlation coefficient (P≤0.05). Results: The prevalence of PTSD was 31.10%. No significant relationship was observed between socioeconomic status and the prevalence of PTSD (P=0.97). Among the demographic variables, only gender had a significant relationship with the prevalence of this disorder (P=0.00) and the prevalence was higher in women than in men. Conclusion: The prevalence of PTSD is high in people with a history of hospitalization with COVID-19. Getting infected with COVID-19 and subsequent hospitalization hurts people's mental health. Maintaining the mental health of this group of people should be considered. © 2023, Negah Institute for Scientific Communication. All rights reserved.

The impact of the COVID-19 pandemic on medical education: adaptability and remote learning experience of the Peruvian American Medical Society

The COVID-19 pandemic had a significant impact on medical care and medical education in Peru. In response, the Peruvian American Medical Society (PAMS), a charitable medical organization based in the USA, pursued its medical and educational missions in Peru by adopting virtual learning technology. We developed closer collaborative relationships with several medical schools and the Peruvian Association of Medical Schools (ASPEFAM) while offering a faculty panel of twenty-four members to provide lectures and multidisciplinary webinars in Spanish. We conducted 19 webinars including COVID -19 and non-COVID-19 related topics that over the last two years attracted 14,489 participants from 23 countries. They were the foundation for twenty publications in Peruvian medical journals. Our clinical investigations competition was positively received as was our pilot project on research mentorship. The COVID -19 pandemic had a positive effect on the educational mission of PAMS in Peru.

Sustainable Competitive Advantage Through Market And Entrepreneurial Orientation In Indonesian Retail MSMEs During The COVID-19 Recovery Stage

This study aims to measure the impact of Entrepreneurial and Market Orientation on the Sustainable Competitive Advantage of Micro, Small, and Medium Enterprises in Indonesia during the recovery phase of the COVID-19 Pandemic. The aim of this research is to find solutions to understand the factors of the survival problems of small businesses facing the uncertainty of novelty during and after the Coronavirus outbreak. Using data obtained from the contribution of the questionnaire that was responded to by 335 individuals involved in MSMEs, we calculated the effect of EO and MO on SCA using Structural Equational Modeling, Partial Less Square. The findings show that EO strongly influences MO and SCA, while the relationship between MO and SCA is weaker. © 2022 IEEE.

Development of an Open Source, Low-Cost Imaging System for Continuous Lung Monitoring

A lost-cost open-source electrical impedance tomography (EIT) device was equipped with a novel lidar based workflow to extract torso and electrode position which was then used in the EIT image reconstruction. EIT data was gathered from 9 healthy volunteers (5 male, 4 female) whilst undergoing a controlled breathing protocol. Four different reconstruction configurations were undertaken: a subject specific lidar based mesh versus a generic oval mesh, and subject specific lidar based electrode placements versus generic equal spaced electrode placements. Our results showed that torso shape error and electrode position errors can be drastically reduced with the lidar-based method allowing for the future utilization of patient-specific information. Good correlation was observed between volume delta and the EIT difference image. © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022.

Tocilizumab Initiation based on Indicator in Patients Infected by Coronavirus-19 to Prevent Intubation

BACKGROUND: The coronavirus disease 2019 (COVID-19) pandemic has created severe medical and economic consequences worldwide since 2019. Tocilizumab is one of the therapies considered capable of improving the condition of patients with COVID-19. However, there is not much information about the best time to give tocilizumab. METHOD(S): This was an analytical study with a retrospective cohort design, using the data of 125 patients infected by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) with signs of acute respiratory distress syndrome in Dr. Moewardi Hospital, Surakarta, from March to August 2020. We analyzed various available clinical data to see which factors into clinical improvement with tocilizumab therapy. RESULT(S): Most patients showed clinical improvement after administration of tocilizumab. During the follow-up period, 21 patients died despite tocilizumab therapy. Significant risk factors associated with the need for intubation were heart rate, neutrophil, lymphocyte, pH, PaCO2, and PO2. The most influential variable on the need for intubation without being associated with other risk factors was PaO2 (p = 0.003, Confidence Intervals 95%). CONCLUSION(S): Tocilizumab has a role in treating patients infected by SARS-CoV-2, preventing the need for intubation when given to patients in good saturation condition with oxygen supplementation without positive pressure (PaO2 >65mmHg;SpO2 >93%).Copyright © 2023 Septian Adi Permana, Adhrie Sugiarto, Sidharta Kusuma Manggala, Muhammad Husni Thamrin, Purwoko Purwoko, Handayu Ganitafuri.

DIGITALIZATION OF PUBLIC CRIMINAL HEARINGS IN PERU DURING THE PANDEMIC: VIOLATION OF THE IMMEDIATE PRINCIPLE?

During the COVID 19 pandemic in Peru, the digitalization process of criminal public hearings increased, initiated in previous years by the introduction of ICTs in the work of legal institutions and professionals. This situation has given rise to debates on the application of the principle of immediacy, which traditionally governs criminal proceedings. The present work has the objective of analyzing the influence of digitalization on the principle of immediacy in criminal public hearings, held in Peru during the COVID 19 pandemic. To achieve this objective, a qualitative design study, descriptive and the use of theoretical level methods, to explain the use of ICTs and the digitization process, the general principles of law, with an emphasis on im-mediacy, and digitization in criminal public hearings. As a result, it is concluded that legislation and jurisprudence agree that the digitalization of public criminal hearings does not violate the principle of immediacy, but rather facilitates the interrelation of the parties, and the judge's appreciation of objective and subjective elements that guarantee his conviction. to dictate a fair and well-founded sentence in matters of facts and law. © 2023, University of Cienfuegos, Carlos Rafael Rodriguez. All rights reserved.

Silicon photonic chip-based biosensor for COVID-19 and flu detection with high sensitivity and specificity

Since the end of 2021, Omicron, the new variant of SARS-CoV-2, has continued to spread as the predominant strain of COVID-19. Compared to previous variants, Omicron causes milder symptoms, which are similar to symptoms of other common respiratory infections, such as flu. In this work, we develop a silicon photonic chip-based biosensor for COVID-19 and flu detection using subwavelength grating micro-ring resonator. The biosensor realizes the detection of two pathogens with high sensitivity (1.31 fg/mL) and specificity. Besides, the microfluidic channel offers a promising solution for point-of-care detection. © 2023 SPIE.

On the Frontline Against COVID-19: Provision of Community Pharmacy Services during a Public Health Crises

Objectives: During the current pandemic, it is recognised that pharmacies will often be the first point of contact with the health system for individuals with COVID-19 related health concerns or who require reliable information and advice. It is also important in the midst of the current public health crisis to reduce general practitioners' (GP) minor ailment-related workload. The aim of our study is to examine the problems in the midst of public health crisis of the current magnitude with the roles and activities of pharmacists. This information could help to inform future decisions about the restructuring of existing health services by governments, public health bodies and policy makers in response to public health crises such as COVID-19. Method(s): The study was carried out among 384 consumers using pharmacy in the regions of Armenia and Yerevan. Research instrument was questionnaire. Number of questionnaires distribution was determined by The Survey System Version 11.0. Analyses were performed using Statistical Package for the Social Sciences (SPSS) software (version 12.0). Result(s): During the study it becomes clear that very few percentage of consumers (17%) consulted by a pharmacy employees. Most of them don't get the necessary information from the pharmacy employee about medicine. Only 29 % of consumers are clearly satisfied with the answers of a pharmacy employee and 26% fully trust them. Conclusion(s): Steps should be taken for improving the professional knowledge of pharmacists about medicines and pharmaceutical care, which, in turn, can restore consumer trust in them, will help avoid self-medication errors by providing advice on medicines in response to public health crises such as COVID-19. There is a need to develop pharmaceutical care algorithms for minor ailments, national emergency drug formularies for COVID-19.Copyright © 2023

Research COVID-19 and its Outcomes in Multiple Sclerosis Patients

Background: Coronavirus Disease 2019 (COVID-19) is a highly contagious disease that resulted in 4533645 deaths until September first, 2021. Multiple Sclerosis (MS) patients receive immunosuppressive drugs. Thus, there is a concern that these drugs will reduce the patient's immune system resistance against COVID19. Objective(s): This study aimed to evaluate the epidemiology of COVID19 and its impact on MS patients in our university hospital in Tehran City, Iran. Material(s) and Method(s): A cross-sectional study was conducted based on hospital-based registry data from May 2020 to March 2021. Among more than 500 registered MS patients in Imam Khomeini Hospital in Tehran City, Iran, referring within our study period, 84 patients reported SARS-COV2 infection. The diagnosis of MS was confirmed by the McDonald criteria. Moreover, the diagnosis of COVID-19 in MS patients was established by the real-time-PCR technique and chest computed tomography. Result(s): Out of 84 MS patients with SARS-COV2 infection, 55(65.5%) were women, and their mean age was 37.48 years. The most commonly used medications by MS patients were Rituximab 20 (26.3%) and Dimethyl Fumarate 14(18.4%). Totally, 9(10.8%) of the patients needed to be hospitalized due to COVID-19, with a mean hospitalization duration of 5.88 days. A total of 1 (1.2%) death was reported. Conclusion(s): Compared to the healthy population, COVID-19 is not more serious in MS patients. Most MS patients with COVID-19 infection were not hospitalized and continued their medication during the infection.Copyright © 2022 The Authors. This is an open access article under the CC-By-NC license. All Rights Reserved.

Malawian Christian Suffering

According to the Hebrew Bible, suffering has been a human phenomenon and experience since Genesis Chap. 3 and the question of suffering has been asked by all kinds of people from time immemorial. Critical to such questions are those that deal with the very nature of God, that is, his omnipotence, his goodness, his love, his beneficence, and so on. Very critical to this also is the question of suffering for the innocent people and Christians-those who profess and confess God as Lord. This chapter focuses on the purpose of the book of Job, which reveals great theological implications on God and suffering for all generations-past, present, and future. It, therefore, discusses the purpose of the book of Job whose main thematic idea is the question of theodicy. The chapter encapsulates the purpose of the book to speak in its own voice to Malawi situation of COVID-19. A critical analysis shows that the book of Job has great theological implications for both Christians and non-Christians to understand the nature of God-that is, His infinity over against human finitude in comprehending all that God is. Therefore, while suffering in Malawi, particularly with COVID-19, how should Christians in twenty-first-century Malawi respond to suffering, sickness, and diseases? This chapter utilizes scholarly contributions of various authors and their analysis of the purpose of the book of Job to come to terms in applying its message on how Christians in Malawi must view suffering generally and COVID-19 in particular. © The Editor(s) (if applicable) and The Author(s), under exclusive licence to Springer Nature Switzerland AG 2023.

A Systematic Review on the Biophilic Designs for Home Workspace during the Covid-19 Quarantine

Research on biophilic design succumbs the built environment can become recuperative with the presence of natural elements. Most of studies on biophilic designs were based on outdoor environment, office buildings, and also child play and learning spaces. Yet, less emphasis has been given on biophilic designs regarding home workspace settings particularly the academic staffs who are working from home due to the sudden shift from working in office to working from home because of the Covid-19 pandemic. Hence, this study was set out to analyze the existing literature on the elements of the biophilia and its design strategies specifically for home workspace settings. Guided by PRISMA review method, nine related studies out of thirty-seven documents were identified from the Web of Science and the Scopus databases searches. Further review of these articles had resulted in three main themes of biophilic design settings specifically for home workspace settings. They were direct involvement of nature, indirect involvement of nature and involvement of space and place. For further research, these three themes could contribute in the development of a comprehensive biophilic design elements model for home workspace setting towards the attention restoration and the stress reduction among occupants. © 2023 American Institute of Physics Inc.. All rights reserved.

Patrolling portals: the regulation of online genetic data sharing

Background/Objectives: Online portals are being increasingly used to disseminate genetics data. While portal-facilitated sharing might have significant scientific value, it is also likely to raise difficult legal and ethical questions. Many of these questions were highlighted during the Covid-19 pandemic, as the urgency of efficient data sharing became apparent. Responding to these emerging concerns, regulators around the world have implemented regimes for 'software used as a medical device.' It is unclear how these regimes affect online portals for genetic data sharing. This study addresses how online data sharing may be shaped by new forms of regulatory oversight. Method(s): We performed an international comparative analysis of advisory documents applicable to software as medical devices prepared by medical regulators in Canada, the United States, France, and the United Kingdom. We selected 20 documents for review. Result(s): We found that regulatory agencies are likely to regulate online tools as medical devices only when they are intended to perform a medical purpose. Online portals for genetic data sharing will not usually meet this threshold. Nevertheless, regulatory guidance provides significant insight into the kinds of issues to which regulators are likely to be attentive in addressing online data sharing. We identify eight normative and logistical issues: efficiency, equity, transparency, confidentiality, communication, empowerment, training, and safety. Conclusion(s): This review clarifies how the regulation of medical software might apply to portals for genetic data sharing. We offer recommendations to portal developers and researchers.

MODELING OF ANTIBODY RESPONSE TO COVID-19 VACCINATIONS IN PATIENTS WITH RHEUMATOID ARTHRITIS

BackgroundUnderstanding the dynamics of humoral immunity after COVID-19 vaccination is crucial in developing vaccination strategies. Antibody response patterns are more complex in patients with rheumatoid arthritis (RA) because of their underlying autoimmunity and immunosuppressive medications. The kinetics of vaccine response in RA patients are not well understood.ObjectivesTo construct a model of antibody response to COVID-19 vaccination in patients with RA.MethodsTwo patient groups were included for the study. The first group was composed of RA patients who were enrolled for influenza vaccination study between Oct 6, 2021 and November 3, 2021, in whom serial serum samples were obtained 0, 4, 16 weeks after vaccination. The second group was consecutively enrolled from outpatient clinic between October 6, 2021 and June 3, 2022, in whom serum sample was obtained once. After collecting data on demographics, vaccination and infection history of COVID-19 were obtained by self-report via questionnaire and data from Korean center for disease control. We then measured antibody titers against receptor binding domain of spike protein (anti-RBD) and nucleocapsid (anti-N), using Chemiluminescence microparticle immunosaasy (Abbott, USA) and Electrochemiluminescence immunoassay (Roche, Germany) respectively. The anti-RBD titer was log-transformed to improve normality. Time from vaccination and log of anti-RBD titer was modeled using fractional polynomial. Covariates including age, sex, BMI, underlying disease and immunosuppressive drugs were analyzed using Generalized Estimating Equations to account for repeated measured from a subject.ResultsA total of 736 patients (1042 samples) were enrolled. After excluding patients who experienced COVID-19 infection before sampling (n=84), those unvaccinated (n=44) and uncertain COVID-19 infection history (n=59), the data on 778 samples from 549 patients were analyzed (Group 1: 125, Group 2: 424). Antibody titer reached peak at 12 days after vaccination and decreased exponentially (Figure 1) which fell to 36.5% from peak after 2 months. Compared to the first vaccination, the 3rd and 4th vaccination significantly shifted anti-RBD antibody response curve (28 times, 95% CI 4~195;32 times 95% CI 4~234, respectively). However, there was no significant shift after the 4th vaccination from the 3rd vaccination (p=0.6405). Multivariable analysis showed that number of vaccinations and sulfasalazine (coefficient: 0.40, 95% CI 0.12~0.68) increased vaccine response but age (coefficient: -0.03, 95% CI -0.04~-0.02), abatacept (coefficient: -2.07, 95% CI -3.30~-0.84) and, JAK inhibitor (coefficient: -0.82, 95% CI -1.34~-0.31) decreased vaccine response.ConclusionAnti-RBD response to COVID-19 vaccination showed a peak at 12 days after vaccination and then exponentially decreased in patient with RA. The antibody response is affected by age and medications used for the treatment of RA.Table 1.ln[RBD (U/ml)]coefficient (univariable)95% CIp-valuecoefficient (multivariable)95% CIp-valuesex (female)0.17-0.22, 0.550.393---age-0.02-0.03, -0.01<.001**-0.03-0.04, -0.02<.001**DM0.11-0.27, 0.500.568---HTN-0.38-0.69, -0.070.018*---CKD0.680.07, 1.290.030*---RA duration (yr)-0.04-0.06, -0.010.001**---Pd (mg/d)-0.06-0.11, 0.000.035*---MTX use-0.23-0.52, 0.050.105---HCQ use0.01-0.28, 0.290.965---SSZ use0.450.07, 0.840.022*0.400.12,0.680.005**LEF use0.00-0.37, 0.370.988---TNF inhibitors use0.29-0.16, 0.730.208---Abatacept use-2.07-3.14, -0.99<.001**-2.07-3.30, -0.840.001**JAK inhibitors use-0.88-1.52, -0.240.007**-0.82-1.34, -0.310.002**Time (months)log(t)-1.96-2.37, -1.54<.001**-1.90-2.29, -1.50<.001**t

Knowledge, attitude and practices of teledentistry during the COVID-19 pandemic in Southern Saudi Arabia

Aim: The aim of this study was to assess the knowledge, attitudes and practice of teledentistry during COVID-19 among dentists in Southern Saudi Arabia. Material(s) and Method(s): A questionnaire with 27 questions was constructed, validated and circulated electronically via social media channels like WhatsApp and by email to dentists from various fields in Southern Saudi Arabia. Data were collected and analyzed using the statistical software SPSS 23.0. Result(s): Most of the respondents showed a positive behavior towards all domains of the questionnaire, including knowledge, attitude and practice of teledentistry. Out of 839 participants, 532 participants were familiar with this term, most of them (64.4%) were practicing it during the pandemic of COVID-19. Discussion(s): It is an emerging technique that has the ability to improve the delivery of dental care diagnosis to communities with limited access or no access to specialists. As of today, there is a need for improvement in practicing it among the Saudi dental community.Copyright © 2022, Derman Medical Publishing. All rights reserved.

A COVID-19 Infection Prediction Model in Egypt Based on Deep Learning Using Population Mobility Reports

The rapidly spreading COVID-19 disease had already infected more than 190 countries. As a result of this scenario, nations everywhere monitored confirmed cases of infection, cures, and fatalities and made predictions about what the future would hold. In the event of a pandemic, governments had set limit rules for the spread of the virus and save lives. Multiple computer methods existed for forecasting epidemic time series. Deep learning was one of the most promising methods for time-series prediction. In this research, we propose a model for predicting the spread of COVID-19 in Egypt based on deep learning sequence-to-sequence regression, which makes use of data on the population mobility reports. The presented model utilized a new combined dataset from two different sources. The first source is Google population mobility reports, and the second source is the number of infected cases reported daily "world in data” website. The suggested model could predict new cases of COVID-19 infection within 3–7 days with the least amount of prediction error. The proposed model achieved 96.69% accuracy for 3 days of prediction. This study is noteworthy since it is one of the first trials to estimate the daily influx of new COVID-19 infections using population mobility data instead of daily infection rates. © 2023, The Author(s).

Creative thinking skills in science education: CORE learning model on the simple harmonic motion topic during COVID-19 pandemic

COVID-19 pandemic forces learning to be done online. Online learning more or less affects the quality of the learning process and influences students' creative thinking skills, especially in science education. This research aimed to determine the CORE (Connecting, Organizing, Reflecting, and Extending) learning model's influence on students' creative thinking skills in understanding simple harmonic vibration material as part of science education at the high school level. This research applied the non-equivalent control group design with sixty-five senior high school students were chosen as the samples. The CORE learning model was implemented to observe how students' creative thinking skills can be grown. The results showed a difference between the average posttest results of the experimental class and the average posttest results of the control class. Based on the results, the CORE learning improved students' creative thinking skills in understanding simple harmonic vibration material. The results of this research can be used as recommendations for teachers to support sustainability in science education. © 2023 Author(s).