Data Analysis Process Research Articles

Analisis Kemampuan Komunikasi Matematis Setelah Penerapan PBL Materi Pola Bilangan pada Siswa Kelas VIII SMP Negeri 4 Loura

The purpose of this study is to determine students' mathematical communication skills after the application of the problem based learning model of number pattern material in grade VIII students of SMP Negeri 4 Loura. The type of research is a descriptive qualitative method. Data collection uses interviews and documentation. The data analysis process is carried out qualitatively consisting of data reduction, data presentation, and conclusion drawn. The results of the study showed that from each level of the percentage level of the student communication ability category, namely the percentage level of the high category was 20%, medium 20% and low 60%. The impact of this ability is that students do not relearn the material that has been given during learning and do not pay attention to the researcher delivering the material

Capabilities for Using Telemonitoring in Physiotherapy Treatment: Exploratory Qualitative Study.

Telemonitoring (TM), as part of telehealth, allows physiotherapists to monitor and coach their patients using remotely collected data. The use of TM requires a different approach compared with face-to-face treatment. Although a telehealth capability framework exists for health care professionals, it remains unclear what specific capabilities are required to use TM during physiotherapy treatments. This study aims to identify the capabilities required to use TM in physiotherapy treatment. An exploratory qualitative study was conducted following a constructivist semistructured grounded theory approach. Three heterogeneous focus groups were conducted with 15 lecturers of the School of Physiotherapy (Bachelor of Science Physiotherapy program) from the Amsterdam University of Applied Sciences. Focus group discussions were audiotaped and transcribed verbatim. Capabilities for using TM in physiotherapy treatment were identified during an iterative process of data collection and analysis, based on an existing framework with 4 different domains. Team discussions supported further conceptualization of the findings. Sixteen capabilities for the use of TM in physiotherapy treatment were found addressing 3 different domains. Four capabilities were identified in the "digital health technologies, systems, and policies" domain, 7 capabilities in the "clinical practice and application" domain, and 5 capabilities in the "data analysis and knowledge creation" domain. No capabilities were identified in the "system and technology implementation" domain. The use of TM in physiotherapy treatment requires specific skills from physiotherapists. To best use TM in physiotherapy treatment, it is important to integrate these capabilities into the education of current and future physiotherapists.

Urbanization Rapidity and Its Impact on Shuklagandaki Municipality

This study examines the trends and causes of urbanization as well as how they affect Nepal's Shuklagandaki Municipality, which is urbanizing quickly. Using a mixed-methods approach, the study incorporates data from both qualitative and quantitative sources. Quantitative information was gathered from field survey and qualitative data were collected from public reports, census records, and government statistics to examine demographic and economic developments in the municipality during the previous 20 years. Through in-depth interviews with important stakeholders, such as public servants, company owners, and community leaders, qualitative data were acquired. Regression analysis and other descriptive and inferential statistics were used in the data analysis process. The results show that throughout the past 20 years, Shuklagandaki Municipality has had notable increase in both demographic and economic metrics. Urban expansion was primarily driven by population increase and economic development; infrastructural improvements, while significant, were secondary. The necessity for planning and policy initiatives that support sustainable growth while attending to the needs and well-being of present and future inhabitants is highlighted by the difficulties and possibilities brought about by the fast urbanization. The article finishes with a summary of the key results, a discussion of the research limitations, and references for future research topics to fill in the gaps in the body of knowledge and address unresolved issues with urban expansion in Shuklagandaki Municipality.

Statistical monitoring applied to data science in classification: continuous validation in predictive models

PurposeThis study aims to analyze the performance of quality indices to continuously validate a predictive model focused on the control chart classification.Design/methodology/approachThe research method used analytical statistical methods to propose a classification model. The project science research concepts were integrated with the statistical process monitoring (SPM) concepts using the modeling methods applied in the data science (DS) area. For the integration development, SPM Phases I and II were associated, generating models with a structured data analysis process, creating a continuous validation approach.FindingsValidation was performed by simulation and analytical techniques applied to the Cohen’s Kappa index, supported by voluntary comparisons in the Matthews correlation coefficient (MCC) and the Youden index, generating prescriptive criteria for the classification. Kappa-based control charts performed well for m = 5 sample amounts and n = 500 sizes when Pe is less than 0.8. The simulations also showed that Kappa control requires fewer samples than the other indices studied.Originality/valueThe main contributions of this study to both theory and practitioners is summarized as follows: (1) it proposes DS and SPM integration; (2) it develops a tool for continuous predictive classification models validation; (3) it compares different indices for model quality, indicating their advantages and disadvantages; (4) it defines sampling criteria and procedure for SPM application considering the technique’s Phases I and II and (5) the validated approach serves as a basis for various analyses, enabling an objective comparison among all alternative designs.

Taxonomy Of Successful Digital Transformation Adoption Of Software As A Service Cloud Accounting Services For SMES

Information technology such as software as a service can be used to improve business transformation, accuracy and efficiency of business information which can realize the competitiveness of SMEs. There are several advantages and conveniences offered by technological transformation using software as a service to SMEs, namely payments are paid in stages or paid according to usage. This can save time, reduce operational costs, reduce space requirements, make it easy to access, facilitate the data analysis process. After several advantages have been described, the figure for the use of information systems in the form of Software as a Service is still quite small in Indonesia. This research uses the Unified Theory of Acceptance and Use of Technology (UTAUT) model. The aim of this research is to test and prove that the variables Individual Factors, Social Factors, Perceived Ease of Use, Perceived Usefulness, Attitude Toward Using, Behavior Intention to Use influence each other. Quantitative research methods are a type of research that is systematic, planned and clearly structured from the beginning until the creation of the research design. The aim of quantitative research is to develop and use mathematical models, theories and hypotheses related to phenomena. The results of this research show that all variables Individual Factors, Social Factors, Perceived Ease of Use, Perceived Usefulness, Attitude Toward Using, Behavior Intention to Use have a positive influence on each other.

Middle Leadership in Educational Teams: Practices and Effects on the Development of Learning Communities

In a new context of management and teaching action, framed by the organisation of the school into educational teams, middle leaders can play a key role in promoting learning communities, teacher development and improving teaching. Therefore, it seems relevant to understand the practices of these leaders that make their leadership effective. To this end, we adopted a qualitative research paradigm, operationalised through a case study, combining a quantitative and qualitative approach. Thus, we articulated data analysis processes based on descriptive statistics, which we subjected to structural and semantic analysis and interpretation, with a qualitative approach, essentially based on content analysis, to delve into some unique contexts and the perspective of individual actors. After analysing the data, we conclude that educational team coordinators play a fundamental role in facilitating the interpersonal characteristics of learning communities, involving teachers in a more collaborative and collegial working environment. However, their role in facilitating teacher learning is weaker, which hinders their contribution to deepening teacher learning and changing classroom practices.

Middle Leadership in Educational Teams: Practices and Effects on the Development of Learning Communities

In a new context of management and teaching action, framed by the organisation of the school into educational teams, middle leaders can play a key role in promoting learning communities, teacher development and improving teaching. Therefore, it seems relevant to understand the practices of these leaders that make their leadership effective. To this end, we adopted a qualitative research paradigm, operationalised through a case study, combining a quantitative and qualitative approach. Thus, we articulated data analysis processes based on descriptive statistics, which we subjected to structural and semantic analysis and interpretation, with a qualitative approach, essentially based on content analysis, to delve into some unique contexts and the perspective of individual actors. After analysing the data, we conclude that educational team coordinators play a fundamental role in facilitating the interpersonal characteristics of learning communities, involving teachers in a more collaborative and collegial working environment. However, their role in facilitating teacher learning is weaker, which hinders their contribution to deepening teacher learning and changing classroom practices.

간호대학 교수의 이직의도 극복 경험

Objectives This study is to understand the experience of nursing professors overcoming turnover intention and to clarify the meaning and structure of the experience. Specifically, it is to derive a general structure by grasping from their perspective how nursing professors overcome the turnover situation. Methods This study is a qualitative study applying Giorgi(2009)'s phenomenological research method. The study participants are professors of nursing department who have worked as full-time professors for more than 5 years, and a total of 5 people understood the purpose of this study and voluntarily agreed to participate. Data collection was collected through individual in-depth interviews and observations from March 1, 2024 to May 18, 2024. The number of interviews for each participant was 2-4, and interviews were conducted at a place the participant wanted, and the time required for one interview was about 1 hour. Purposeful sampling was performed to select participants. The collected data went through a cyclical repetitive process of data collection and analysis based on the phenomenological research method developed by Giorgi(2009). Results The general structure of the experience of nursing professors overcoming the intention to turnover derived from the results of this study was ‘extreme situation that is difficult to endure’, ‘confirm reality’, ‘promoting stability’, ‘growth’, and ‘construction of place’, and a total of 5 upper themes, 8 lower themes, and 40 semantic units were derived. Conclusions Their experience was a series of processes in which they began to consider turnover through physical and psychological difficulties, confusion, and conflict while starting a nursing professor, but they identified their reality and promoted stability to build a position as their growth took place. Problems related to turnover of nursing professors are not limited to individual professors' problems, but it is necessary to carefully recognize experiences and difficulties at various levels. However, since coping with turnover is carried out on a personal level, it is desirable to seek systematic and concrete solutions at the formal level. This study walks the overall understanding of nursing professors who have overcome turnover by looking at the nursing professor's experience of overcoming turnover intention and provides evidence to understand the experience of nursing professors who have overcome turnover intention from a phenomenological point of view based on this result. It aims to contribute to improving the quality of nursing education for nursing students by allowing nursing professors to focus on nursing education without changing jobs.

A novel approach to the cause of death identification—multi-strategy integration of multi-organ FTIR spectroscopy information using machine learning

Identifying the cause of death has always been a major focus and challenge in forensic practice and research. Traditional techniques for determining the causes of death are time-consuming, labor-intensive, have high professional barriers, and are vulnerable to significant subjective bias. Additionally, most current studies on causes of death are limited to specific organs and single causes. To overcome these challenges, this study utilized simple and rapid fourier transform infrared spectroscopy (FTIR) detection technology, integrating data from six organs—heart, liver, spleen, lung, kidney, and brain. The optimum model for identifying seven different causes of death was determined by evaluating the performance of models developed using the model efficiencies of single-organ (SO), single-organ model fusion (SOMF), multi-organ data fusion (MODF), and multi-organ data model fusion (MODMF) modeling methods. Considering factors such as operational costs, model performance, and model complexity, the MODF artificial neural network (ANN) model was found to be the most suitable choice for constructing a cause of death identification model, with a cross-validation mean accuracy of 0.960 and a test set accuracy of 0.952. The heart and kidney contributed more spectral features to the construction of the cause of death identification model compared to other organs. This study not only demonstrated that data fusion and model fusion are effective strategies for improving model performance but also provided a comprehensive data analysis framework and process for modeling with small sample multi-modal data (multiple organ data). In conclusion, by exploring various approaches, this study offers new solutions for identifying the cause of death.

The Development of Quizizz-Based Interactive Design using Whole-Part-Whole Model for Teaching English Vocational School for Culinary Arts Department

This research is a Research and Development study aimed at developing game-based English language learning tailored to the needs of students in the culinary field, utilizing ESP (English for Specific Purposes) and the Whole-Part-Whole model. The data were analyzed using both qualitative and quantitative descriptive methods. Qualitative data were generated during the Analysis phase of the ADDIE research procedure, which served as material for content development. Quantitative data were obtained from expert judgment. The data analysis process, which included document analysis and interviews, identified several student needs related to English language learning. The results of this study were as follows: In the first stage (whole), materials were presented along with interactive quizzes through Quizizz. In the second stage (part), detailed materials were displayed, covering definitions, social functions, text structure, and linguistic features of procedural texts. In the third stage (whole), students were assigned to create their procedural texts, both orally and in writing, using Quizizz. The average percentage of student perception was 92.03%, indicating that the module implemented in class is highly suitable. The average rate of expert judgment reached 95.83%, with an interpretation score of very suitable. Thus, developing an interactive quiz-based design for teaching English in culinary vocational schools at SMK N 4 Mataram was deemed very appropriate for use in the teaching and learning process.

Comparison of Galaxy and Unix tools for analyzing the exome sequencing data from syndactyly abnormalities

Syndactyly is a congenital limb abnormality, which manifests as the fusion of digits due to incomplete separation during embryonic development, and its pathogenesis involves intricate genetic and molecular processes. Since Exome sequencing has gained widespread utilization as an invaluable tool for exploring genetic disorders during prenatal development, the Bioinformatic platforms, such as GALAXY and UNIX, play a central role in the analysis process of exome sequencing data, facilitating precise identification and interpretation of genetic variations linked to congenital abnormalities. In this study, we conducted a comparative analysis of exome sequencing data from a 1.5-year-old syndactyly patient using two platforms: GALAXY and UNIX. The UNIX platform identified a total of 275,572 variants, and the GALAXY platform identified 140,291 variants when compared with the Grch38/hg38 reference genome. A comparative analysis identified 126,848 common variants between the platforms. After filtration with the 200 syndactyly-related genes, 1,345 variants were remained. The distribution of these 1,345 variants spans the entirety of the patient's genome, with focal concentrations observed on specific chromosomes including chromosomes 2, 4, and 11. Concurrently, within the top 200 genes implicated in syndactyly, the genes FRAS1, CACNA1C, GLI2, and NOTCH1 exhibit the highest frequency of variants. These data emphasized the impact of the chosen analytical platform on genetic variation detection in congenital limb abnormalities, provided critical insights into the selection of bioinformatic tools for optimizing exome sequencing workflows in the context of limb malformations, contributed to advancements in genetic research and diagnostic methodologies.

The Relationship Between Discomfort Intolerance And the Fear Of Self-Injection And Testing In Patients With Diabetes Using Insulin: A Cross-Sectional Study.

Diabetes is a global problem. Diabetes nurses, in particular, take great responsibility in reducing and controlling the fears of individuals using insulin and increasing their capacity to tolerate discomfort. This study was conducted to examine the effects of the capacity to tolerate discomfort on the fear of self-injection and the status of testing blood glucose levels in patients with type 1 and type 2 diabetes using insulin. This cross-sectional study was conducted between December 2022 and February 2023 with 320 adult patients with type 1 and type 2 diabetes using insulin who were followed up in the Endocrinology and Internal Medicine Clinics of a university hospital in Turkey. The data analysis process included analyses of the frequency, independent-samples t-tests, one-way ANOVA, the Kruskal-Wallis H test, and Pearson's correlation analysis. Data were analysed using the IBM SPSS v27.0 software, considering alpha as 0.05. The mean total Discomfort Intolerance Scale score of the patients was 22.78 ± 6.74, and the mean Fear of Self-Injecting and self-testing was 21.1 ± 6.7. A negative significant correlation was found between the discomfort intolerance levels of the patients and their levels of fear of self-injection and self-testing (p < 0.05). Individuals with a higher capacity to tolerate discomfort have lower levels of fear of self-testing and self-injection. Therefore, the fear of self-testing and self-injection in patients using insulin injections may affect diabetes self-management. Individuals with low tolerance for discomfort should be identified, interventions to increase tolerance in individuals at risk should be planned, and diabetes self-management should be better supported. The reporting of the results of the study adhered to the STROBE guidelines.

Parent Education and Counseling (PairEd-C) Intervention to Improve Family-Centered Care: Protocol for a Prospective Acceptability Study Using the Theoretical Framework of Acceptability.

Family-centered care (FCC) is an intervention approach based on a respectful relationship between family and health care providers (HCPs) to ensure the health and well-being of children and their families. Although HCPs have a better perception of FCC, the level of its implementation is low. Reasons for low implementation include limited understanding, lack of training, and lack of implementation guidelines and tools to support implementation. Thus, we developed the Parent Education and Counseling (PairEd-C) intervention to improve FCC in pediatric oncology settings and assess its acceptability. The objective of this study is to assess the prospective acceptability of the PairEd-C intervention using the theoretical framework of acceptability (TFA) in the pediatric oncology department in a tertiary hospital in Ethiopia. The study was conducted using an exploratory qualitative study design. We aimed to recruit 10 to 15 participants for the in-depth interview. The study participants were health service leaders working in child cancer, HCPs, social workers, and parents of children with cancer. The intervention was developed using the integration of the first phase of the Medical Research Council (MRC) framework for developing and testing complex interventions and the behavior change wheel (BCW) framework. The main PairEd-C intervention components align with the intervention functions of education, persuasion, training, environmental restructuring, modeling, and enablement, which were intended to improve FCC in the pediatric oncology unit by providing structured and comprehensive education and counseling of parents of children with cancer. The intervention was implemented by providing training for the health care team, facilitating discussion among HCPs and setting a shared plan, improving the commitment of the health care team, providing education for parents, improving parents' capacity to attend the intervention sessions, arranging discussion among parents of children with cancer, and provision of education and counseling on distress. The HCPs working in the unit received training on the designed intervention. The trained educators and the health care provider delivered the intervention. Data will be analyzed using deductive thematic coding with a framework analysis technique based on the 7 TFA constructs. Atlas ti. version 9 will be used for data analysis. Funding was acquired in 2017, and ethical clearance for conducting the study was obtained. We conducted the interviews with the study participants from December 2023 to January 2024. As of the acceptance of this protocol (June 2024), 12 study participants were interviewed. The data analysis process was started subsequently, and the manuscript will be completed and submitted for publication in early 2025. This acceptability study is expected to show that the designed intervention is acceptable to study participants, and the findings will be used to improve the intervention before progressing to the next step of our project. DERR1-10.2196/54914.

Learning model in adapted physical education based on online: the bibliography analysis in publication 2018 – 2023

This study aims to determine the conditions in the range of 2018-2023 related to scientific maps, publication trends, and the scope of thematic research in the field. On the theme of the online-based Adapted Physical Education Learning (APE) model, especially articles published in international journals with indexation of Scopus, PubMed, and Crossref. In addition to the research and data sources to be used in the bibliometric analysis as many as 2200 articles were found through the keywords "learning model”, “APE”, and “online" in the article title &amp; abstract". To explore and identify key thematic areas as well as topics that appear in publications using keyword co-occurrence analysis. To support data analysis and visualization processes obtained from Harzing's Publish or Perish and VOSviewer applications. The results of this study show that the online learning model in APE is a research trend that has been in great demand in the last 5 years and is still developing. In the visualization section, high keyword density is presented in 8 clusters, namely: (1) student; (2) practice; (3) treatment; (4) study; (5) experience; (6) patient; (7) parent; and (8) strategy. Bibliometric analysis in the form of mapping provides information about publication development patterns in the field of online learning in APE. These findings contribute to future research, especially the need for in-depth research focusing on one or more themes that are still rarely studied such as treatment, risk factors, deep learning models, distress, healthy control, cyberbullying, professional health, and digital tools. Keywords: Learning model, adapted physical education, online

Software Integrated Personalized Biosensing Device for Serum Creatinine Detection Based on Boron doped MXene Nanohybrid.

In recent years, an increase in the number of chronic kidney disease (CKD) cases has led to a global health burden majorly affecting underdeveloped and developing nations. A key biomarker for assessing the kidneys' normal functioning is creatinine, which is filtered out from the blood by the kidney. Thus, timely and specific detection of creatinine becomes necessary for diagnosis and subsequent treatment of CKD. Hence, in this study, we have tried to develop a field-deployable, software-integrated immunosensor for the detection of creatinine in a serum sample. The immunosensor was developed by incorporating gold nanoparticles, boron doped MXene, polyaniline, and anticreatinine antibody using an appropriate bioconjugation reaction. The developed sensor was able to detect creatinine in a linear dynamic range of 10 nM to 0.1 M with a limit of detection of 1.72 (±0.07) nM. The sensor was integrated with an indigenously developed software named "CretCheck" which simplifies the process of data analysis. The software integrated personalized biosensing device was used to find the creatinine concentrations directly from the obtained analytical signals. The developed immunosensor with the integrated software can also be implemented directly in primary health care facilities for creatinine detection in the future.

Weaving Our Kuwentos (Stories) toward Ginhawa (Aliveness): Pilipinx American Social Work MotherScholars Enacting Praxes of Survival and Thrivance in the Academy

Five Pilipina American (PA) social work MotherScholars, from a doctoral student to an interim dean, used kuwentuhan (Pilipinx methodology) to amplify their survivance and thrivance despite attempted exclusion, reduction, and distortion as Pilipinos by coloniality/modernity. Grounded in decolonial feminism (the view that oppressions such as sexism and racism co-constitute coloniality and that unsettling oppressions disrupts hegemony) and Pinayism (an integrated framework revaluing the labor, intellect, and nurturance of mothering through a cultural lens), the authors work coalitionally across their PA diversity to re-center ginhawa (aliveness or sense of ease and wellness). Together, they embarked on an iterative self-study process of data generation and analysis that included presenting, recording, and transcribing two panel presentations at a premier social work conference, writing reflections and hay(na)ku poems about their experiences and processes, reading and rereading the data, and meeting and discussing the data, their process, and past and current events pertinent to the content. The stories highlight how the authors are living and enlivening decoloniality, and that, in so doing, they continue a lineage of those who have resisted coloniality/modernity and promoted thrivance. Collectively, these kuwentos (stories), reflections, hay(na)ku, and their weaving together, are memory, resistance, counter-storytelling, and healing.

The Nexus Between Real Estate Industry and Economy Growth: Case study of Shanghai

In the 1970s, the theory circle of China put forward the idea of housing commercialization for the first time. After the 1990s, the housing monetization policy began to be implemented. After China opened the door of reform and opening up and the door of urbanization process, the real estate industry also continuously seized the opportunity brought by the reform and opening up to make its own growth. In addition, the real estate industry not only promotes the growth of national economy, but also plays an significant role in improving residents' living quality and seeking benefits for residents. So far, the real estate industry has become the bellwether and main force of China's economic development. The outbreak of the global financial crisis in 2008, followed by 2013, China began to advocate the "new normal" trend of economic development, explore new ways of economic growth and improve the structure of economic growth, which hindered the development of the real estate industry to varying degrees. However, under the macro-background of a series of policies and controls, the real estate industry still plays an immeasurable role in China's economic growth. Therefore, this chapter attempts to carry on a further elaboration in the current macroeconomic background, to clarify the purpose and significance of the research。 In this context, this paper will analyze the relevant data of Shanghai real estate from 1991 to 2021 as the basis. Through the process of data analysis to explain the real estate industry to Shanghai's economic contribution. It also determines whether the relationship between Shanghai real estate industry and economic growth is negative or positive and fills the literature gap between Shanghai real estate industry and economic growth. Provide strong support for future research or policy decision.

글 없는 그림책 연구 동향 분석 : 키워드 네트워크 분석 및 토픽모델링을 중심으로

This study explores research trends in wordless picture books using text mining techniques. For this purpose, abstracts of 181 articles were collected, and then data preprocessing and analysis were performed. In the data analysis process, keyword network analysis and topic modeling analysis were performed. The keyword analysis showed that the most frequent word was ''young children'', followed by ''storytelling'' and ''wordless picture book activities''. The network analysis showed that the strength of the connections between ''wordless picture book activities → young children'' and ''using wordless picture books → young children'' was high. This suggests that in studies of wordless picture books, the use of picture book activities or wordless picture books is mainly targeted at young children. Topic modeling resulted in four themes: multicultural approach and visual literacy, playfulness and artistic development, integration of language and art, and methodology of integration and repetition. This study is significant in that it identifies major research themes in the field of wordless picture books and suggests future research directions.

Harnessing the Power of AI in Salesforce: An Empirical Study on Enhanced Data Insights and Organizational Efficiency

Abstract: This article examines the integration of Artificial Intelligence (AI) in Salesforce platforms to enhance business analytics and decision-making processes. We explore how AI-powered solutions are revolutionizing data analysis, providing organizations with actionable insights, and improving market responsiveness. The article investigates key AI techniques implemented in Salesforce, including machine learning algorithms for pattern recognition and natural language processing for unstructured data analysis. We analyze the impact of these technologies on identifying trends, forecasting, threat detection, and opportunity identification for sustainable growth. Through case studies and empirical analysis, we demonstrate the effectiveness of AI-driven Salesforce solutions in streamlining data processing, enabling real-time market adaptation, and enhancing organizational efficiency. The article also addresses the technological infrastructure supporting these AI solutions, discussing cloud-based computing resources, integration challenges, and data security considerations. Our findings suggest that AIpowered Salesforce solutions significantly improve business analytics capabilities, allowing companies to make more informed decisions and maintain a competitive edge in rapidly evolving markets. This article contributes to the growing body of knowledge on AI applications in customer relationship management and business intelligence systems

Risk Factors Associated With COVID-19 Infection Among Schools’ Children in Basrah City / Iraq

Background: COVID-19 pandemic has been the most important global issue since December 2019. has led to overloading of health systems all over the world. Objective: The study aims to identify the risk factors associated with COVID-19 infection among schools’ children in Basrah city / Iraq. Methods: A cross-sectional study was carried out by using a pre-tested applied structured questionnaire among 1980 children. This sample was distributed throughout fifteen schools were selected using simple random sampling techniques. Finally, a simple random sampling method was used to select study participants. conducted from March1st, 2022, to May 1st, 2024. Both descriptive and inferential statistics were used in the data collection and analysis process. Results: The findings showed the distribution of participants according to Corona infection: The children included in the study suffered from Corona infection at a rate of 27.2%. 60.3% do not have Corona infection, and 12.5% answered “possibly infection.” The children at risk of contracting Corona infection were under 18 years of age and had middle school as an educational level respectively, 81.9% and 51.8%. They suffered from chronic diseases and also suffered from an allergy to the vaccine: 34.8% and 27%. They received the Corona vaccine type Pfizer, respectively, 37.9% and 36.3%. They had symptoms similar to the disease when taking the vaccine, 22.6%, and they used sterilization to sterilize hands, 42.8%. Also, 31.1% of them always avoid touching their noses and eyes with unwashed hands, 27.8% always maintain a social distance of no less than two meters, and 45.8% avoid shaking hands, hugging, and kissing during greetings. Conclusions: This study concludes that among the risk factors studied, there was a relationship between these factors and the Corona infection in children.