Assessing healthcare workers’knowledge and confidence in the diagnosis,management and prevention of Monkeypox

BACKGROUND Monkeypox(Mpox),is a disease of global public health concern,as it does not affect only countries in western and central Africa.AIM To assess Burundi healthcare workers(HCWs)s’level of knowledge and confidence in the diagnosis and management of Mpox.METHODS We conducted a cross-sectional study via an online survey designed mainly from the World Health Organization course distributed among Burundi HCWs from June-July 2023.The questionnaire comprises 8 socioprofessional-related questions,22 questions about Mpox disease knowledge,and 3 questions to assess confidence in Mpox diagnosis and management.The data were analyzed via SPSS software version 25.0.A P value<0.05 was considered to indicate statistical significance.RESULTS The study sample comprised 471 HCWs who were mainly medical doctors(63.9%)and nurses(30.1%).None of the 22 questions concerning Mpox knowledge had at least 50%correct responses.A very low number of HCWs(17.4%)knew that Mpox has a vaccine.The confidence level to diagnose(21.20%),treat(18.00%)or prevent(23.30%)Mpox was low among HCWs.The confidence level in the diagnosis of Mpox was associated with the HCWs’age(P value=0.009),sex(P value<0.001),work experience(P value=0.002),and residence(P value<0.001).The confidence level to treat Mpox was significantly associated with the HCWs’age(P value=0.050),sex(P value<0.001),education(P value=0.033)and occupation(P value=0.005).The confidence level to prevent Mpox was associated with the HCWs’education(P value<0.001),work experience(P value=0.002),residence(P value<0.001)and type of work institution(P value=0.003).CONCLUSION This study revealed that HCWs have the lowest level of knowledge regarding Mpox and a lack of confidence in the ability to diagnose,treat or prevent it.There is an urgent need to organize continuing medical education programs on Mpox epidemiology and preparedness for Burundi HCWs.We encourage future researchers to assess potential hesitancy toward Mpox vaccination and its associated factors.

A Survey on the Current Situation of Prehospital First Aid about Knowledge, Belief and Behavior among University Students in Jingzhou

Objective: To understand the current situation of prehospital first aid knowledge, attitude and behavior of university students in Jingzhou City. Methods: A prehospital first aid knowledge questionnaire and the convenience sampling method were used to survey 307 university students in Jingzhou City. Results: The mean score of prehospital first aid knowledge of university students in Jingzhou City was 12.85 ± 2.643, the mean score of attitude was 50.73 ± 4.114, and the mean score of behavior was 39.05 ± 8.898;There was a statistically significant difference in the scores of prehospital first aid knowledge, attitude, and behavior of university students depending on whether or not they had received prehospital first aid training (P P Conclusion: Jingzhou University students have a positive attitude toward pre-hospital first aid, but the knowledge level and behavior are low, which suggests that the government, society and the school should create good conditions to promote the improvement of pre-hospital first aid knowledge and ability.

Study on the Effect of Behavioral Interventions Based on the Theory of“Knowledge,Attitude,Practice”on Tuberculosis Cognitive Level of Close Contacts

Objective:Based on the theory of“Knowledge,Attitude,Practice,”health education was carried out for close contact with tuberculosis(TB)at a university in Beijing,and its impact on the students’awareness of TB was studied.This study could provide a reference for effective health education interventions among close contacts of TB in undergraduates.Methods:102 undergraduates who had close contact with one confirmed case of pulmonary TB in April 2021 at a university were randomly divided into a control group and an intervention group.The intervention group was given the“Knowledge,Attitude,Practice”health education intervention by professionally trained doctors,and were asked to complete a self-designed TB-related questionnaire before and after the intervention.Both groups performed the Tuberculin Skin Test(TST)and chest X-ray(CR)examination.Results:The rate of the TST test was 18.6%,and CR examination showed 0 cases of pulmonary TB.The survey results showed that the TB awareness rate(96.1%,49/51)in the intervention group was significantly higher than that of the control group(51.0%,26/51),and the differences in awareness rate between the two groups were statistically significant(P<0.05).Regarding the attitude/skills toward TB,the prevalence rate of tuberculosis-related attitude/behavior in the intervention group(94.1%,47/51)was significantly higher than that of the control group(60.8%,31/51),and the differences between the two groups were statistically significant(P<0.05).Conclusion:Both self-controlled and parallel-controlled studies showed that the health education intervention of“Knowledge,Attitude,Practice”improved the awareness of TB among close contacts of TB in undergraduates.

Effects of Continuous Precision Nursing Model on Knowledge, Attitudes, and Practices (KAP) Behavior and Cardiac Function in Patients after Percutaneous Coronary Angiography and Stent Implantation

Objective:To explore the impact of a continuous precision nursing model on patients’Knowledge,Attitudes,and Practices(KAP)and cardiac function during the nursing process of patients undergoing percutaneous coronary angiography and stent implantation.Methods:Ninety patients who underwent percutaneous coronary angiography and stent implantation in our hospital from April 2022 to April 2023 were selected and randomly divided into the control group(45 cases),in which routine nursing support was carried out during the treatment process,and the observation group(45 cases),in which continuous precision nursing model was carried out during the treatment process.Comparisons were made between the two groups of patients on their KAP,cardiac function,and quality of life during recovery.Results:There was no difference in the left ventricular ejection fraction(LVEF),cardiac output(CO),and cardiac index(CI)levels before intervention.After the intervention,the levels of cardiac function in the observation group were higher than those of the control group(P<0.05).There was no difference in the Exercise of Self-Care Agency(ESCA)self-care ability scale scores before the intervention.After the intervention,the observation group had higher ESCA scores than the control group(P<0.05).Conclusion:Implementation of a continuous precision nursing model in the care of patients undergoing percutaneous coronary angiography and stent implantation improved the patient’s cardiac function,and KAP,and promoted recovery.

Heterogeneous Image Knowledge Driven Visual Perception

Dear Editor,This letter is concerned with visual perception closely related to heterogeneous images.Facing the huge challenge brought by different image modalities,we propose a visual perception framework based on heterogeneous image knowledge,i.e.,the domain knowledge associated with specific vision tasks,to better address the corresponding visual perception problems.

Impacts of the COVID-19 pandemic on consumers’ food safety knowledge and behavior in China

This study assesses the impacts of the COVID-19 pandemic on Chinese residents’food safety knowledge and behavior,and explores the possible influence mechanism,namely,focus on media information.The study is based on internet survey data of 1373 residents in China.A series of econometric models are developed to estimate food safety knowledge and behavior of residents.Both the descriptive and econometric results indicate that the existence of COVID-19 cases in a community has a significantly positive effect on residents’food safety knowledge and behavior.Residents focusing on food safety-related information tend to have higher food safety knowledge and practice food safety behavior.When controlling the variable focused on food safety-related information,the marginal effects of the existence of COVID-19 cases in a community on residents’food safety knowledge and behavior significantly decrease.However,the decrease in consumers’food safety knowledge is quite minor.Hence,the COVID-19 pandemic indeed improves Chinese residents’food safety knowledge and behavior,while focus on food safety-related information is an important mechanism for improving food safety behavior.Moreover,the estimation results of the simultaneous equations model reveal that consumers’food safety knowledge has a significant and positive effect on their food safety behavior.Heterogeneous impacts of the COVID-19 pandemic on residents’food safety knowledge and behavior among different regions and income groups are observed.The findings of this study provide evidence that public health events could enhance residents’safety awareness and behavior,while residents’focus on relevant information plays an important role in improving knowledge and impacting behavior.

Low-Cost Federated Broad Learning for Privacy-Preserved Knowledge Sharing in the RIS-Aided Internet of Vehicles

High-efficiency and low-cost knowledge sharing can improve the decision-making ability of autonomous vehicles by mining knowledge from the Internet of Vehicles(IoVs).However,it is challenging to ensure high efficiency of local data learning models while preventing privacy leakage in a high mobility environment.In order to protect data privacy and improve data learning efficiency in knowledge sharing,we propose an asynchronous federated broad learning(FBL)framework that integrates broad learning(BL)into federated learning(FL).In FBL,we design a broad fully connected model(BFCM)as a local model for training client data.To enhance the wireless channel quality for knowledge sharing and reduce the communication and computation cost of participating clients,we construct a joint resource allocation and reconfigurable intelligent surface(RIS)configuration optimization framework for FBL.The problem is decoupled into two convex subproblems.Aiming to improve the resource scheduling efficiency in FBL,a double Davidon–Fletcher–Powell(DDFP)algorithm is presented to solve the time slot allocation and RIS configuration problem.Based on the results of resource scheduling,we design a reward-allocation algorithm based on federated incentive learning(FIL)in FBL to compensate clients for their costs.The simulation results show that the proposed FBL framework achieves better performance than the comparison models in terms of efficiency,accuracy,and cost for knowledge sharing in the IoV.

Relationship of Periodontal Status and Dental Caries Status with Oral Health Knowledge, Attitude and Behavior among Professional Students in India

Aim To find the relationship of periodontal status and dental caries status with oral health knowledge, attitude, behavior, among professional students in India. Methodology In a cross sectional study, a total of 825 students （males： 577, females： 248） fi＇om six professions were surveyed using a self administered structured questionnaire including 41 multiple choice questions and the WHO Oral Health Assessment Form （1997）. The data was analyzed using the SPSS version 13.0 to perform the Student＇s t-test, ANOVA test, Scheffe＇s test and Chi-square test, linear regression analysis. Results The mean percentage scores of the students for knowledge were 53.25 ±15.05; for attitude 74.97±20.48; and for behavior 59.09 ±18.77. The percentage of students with calculus score was found to be significantly high （43.8%）. The percentage of professional students with DMFT〉4 was 14.1% and the percentage of students with decayed teeth was 46.2%. The regression analysis showed that the oral health behavior of the students was dependent on the attitude （P〈0.001）, but showed no significant linear relation with the knowledge. Also, that the mean DMFT score was dependent on the oral health behavior （P〈0.05）, but showed no significant relationship with the knowledge and attitude of the students. The periodontal status was independent on the knowledge, but showed a significant relationship with attitude and behavior of the students. Conclusion A positive attitude and adherence to good oral hygiene behaviors is associated with better oral health.

Influence of transitional nursing on the compliance behavior and disease knowledge of children with purpura nephritis

BACKGROUND Purpura nephritis,also called Henoch-Schönlein purpura nephritis,is a systemic disease with small dead vasculitis as the main pathological change.AIM To observe the influence of transitional nursing activities on the compliance behaviors and disease knowledge of children with purpura nephritis.METHODS A total of 82 children with purpura nephritis were included and divided into a general nursing group(41 children)and transitional nursing group(41 children)using the envelope method.The general nursing group received routine nursing care,while the transitional nursing group received transitional nursing care.The behaviors,knowledge of the disease,and self-management ability of the two groups were evaluated after nursing care was provided.RESULTS The scores of four items(self-care ability,self-responsibility,health knowledge level,and self-concept)in the transitional nursing group were significantly higher than those in the general nursing group.CONCLUSION Transitional nursing can directly improve the disease knowledge level and selfmanagement ability of children with purpura nephritis and effectively reduce complications.

Incorporating empirical knowledge into data-driven variable selection for quantitative analysis of coal ash content by laser-induced breakdown spectroscopy

Laser-induced breakdown spectroscopy(LIBS)has become a widely used atomic spectroscopic technique for rapid coal analysis.However,the vast amount of spectral information in LIBS contains signal uncertainty,which can affect its quantification performance.In this work,we propose a hybrid variable selection method to improve the performance of LIBS quantification.Important variables are first identified using Pearson's correlation coefficient,mutual information,least absolute shrinkage and selection operator(LASSO)and random forest,and then filtered and combined with empirical variables related to fingerprint elements of coal ash content.Subsequently,these variables are fed into a partial least squares regression(PLSR).Additionally,in some models,certain variables unrelated to ash content are removed manually to study the impact of variable deselection on model performance.The proposed hybrid strategy was tested on three LIBS datasets for quantitative analysis of coal ash content and compared with the corresponding data-driven baseline method.It is significantly better than the variable selection only method based on empirical knowledge and in most cases outperforms the baseline method.The results showed that on all three datasets the hybrid strategy for variable selection combining empirical knowledge and data-driven algorithms achieved the lowest root mean square error of prediction(RMSEP)values of 1.605,3.478 and 1.647,respectively,which were significantly lower than those obtained from multiple linear regression using only 12 empirical variables,which are 1.959,3.718 and 2.181,respectively.The LASSO-PLSR model with empirical support and 20 selected variables exhibited a significantly improved performance after variable deselection,with RMSEP values dropping from 1.635,3.962 and 1.647 to 1.483,3.086 and 1.567,respectively.Such results demonstrate that using empirical knowledge as a support for datadriven variable selection can be a viable approach to improve the accuracy and reliability of LIBS quantification.

AIDS-Related Knowledge, Attitudes and Behavior Survey among the “Migrant” Population in China

Objective To realize AIDS related knowledge, attitude and behavior among floating people in China and discuss its influencial factors, and to provide the evidence for how to prevent AIDS in floating population. Methods The data were collected from the ＂Sex and Reproductive Health Baseline Survey among Floating People in China＂ conducted in March 2004. The standard questionnaires were used to interview altogether 4 900 floating people from 6 provinces. Results Nearly 95.4 % of them had heard about AIDS, but only 0.5% can judge all the transmitted ways and no-transmitted ways correctly, 45.9 % believed that we need to isolate the HIV positive people. Only 65.7% knew that using condom can preventive HIV infection, 43. 7% showed their understanding about the man who has long time no sexual life has sex with a sexual worker. About 13.6% floating people chose condom as FP method and among them only 34. 6% used condom every time. Conclusion Chinese floating people are lack of AIDS knowledge. Most of them do not practise Safe Sex Activity. We need to give more intervention to the floating population.

A new evolutional model for institutional field knowledge flow network

Purpose:This paper aims to address the limitations in existing research on the evolution of knowledge flow networks by proposing a meso-level institutional field knowledge flow network evolution model(IKM).The purpose is to simulate the construction process of a knowledge flow network using knowledge organizations as units and to investigate its effectiveness in replicating institutional field knowledge flow networks.Design/Methodology/Approach:The IKM model enhances the preferential attachment and growth observed in scale-free BA networks,while incorporating three adjustment parameters to simulate the selection of connection targets and the types of nodes involved in the network evolution process Using the PageRank algorithm to calculate the significance of nodes within the knowledge flow network.To compare its performance,the BA and DMS models are also employed for simulating the network.Pearson coefficient analysis is conducted on the simulated networks generated by the IKM,BA and DMS models,as well as on the actual network.Findings:The research findings demonstrate that the IKM model outperforms the BA and DMS models in replicating the institutional field knowledge flow network.It provides comprehensive insights into the evolution mechanism of knowledge flow networks in the scientific research realm.The model also exhibits potential applicability to other knowledge networks that involve knowledge organizations as node units.Research Limitations:This study has some limitations.Firstly,it primarily focuses on the evolution of knowledge flow networks within the field of physics,neglecting other fields.Additionally,the analysis is based on a specific set of data,which may limit the generalizability of the findings.Future research could address these limitations by exploring knowledge flow networks in diverse fields and utilizing broader datasets.Practical Implications:The proposed IKM model offers practical implications for the construction and analysis of knowledge flow networks within institutions.It provides a valuable tool for understanding and managing knowledge exchange between knowledge organizations.The model can aid in optimizing knowledge flow and enhancing collaboration within organizations.Originality/value:This research highlights the significance of meso-level studies in understanding knowledge organization and its impact on knowledge flow networks.The IKM model demonstrates its effectiveness in replicating institutional field knowledge flow networks and offers practical implications for knowledge management in institutions.Moreover,the model has the potential to be applied to other knowledge networks,which are formed by knowledge organizations as node units.

A Comparison of the Sexual Knowledge, Attitudes, and Behaviors of Korean College Students Studying in Korea and in the United States

The number of Korean students enrolling in universities overseas is rapidly growing. However, these populations are underrepresented in sexuality related research, despite the possibility of sexually risky behavior in overseas university students. We examined the sexual knowledge, attitudes, and behaviors of university students in Korea and studying in the United States. Data were collected—131 Korean students in Korea and in the US using a web-based self-report questionnaire system. Students in the US showed greater total sexual knowledge than students studied in Korea. There were differences in the sexual knowledge, attitude and behaviors according to general characteristics between both groups. Although students in the USA had a higher level of sexual knowledge, both students in the USA and in Korea had a low level of sexual knowledge overall.

Assessment of knowledge,cultural beliefs,and behavior regarding medication safety among residents in Harbin,China

BACKGROUND Medication misuse or overuse is significantly associated with poor health outcomes.Information regarding the knowledge,cultural beliefs,and behavior about medication safety in the general population is important.AIM To conduct a survey on medication habits and explored the potential factors impacting medication safety.METHODS The current survey included adults from 18 districts and counties in Harbin,China.A questionnaire on medication safety was designed based on knowledge,cultural beliefs,and behavior.Both univariate and multivariate analyses were used to explore the factors that impacted medication safety.RESULTS A total of 394 respondents completed the questionnaires on medication safety.The mean scores for knowledge,cultural beliefs,and behavior about medication safety were 59.41±19.33,40.66±9.24,and 60.97±13.69,respectively.The medication knowledge score was affected by age(P=0.044),education(P<0.001),and working status(P=0.015).Moreover,the cultural beliefs score was significantly affected by education(P<0.001).Finally,education(P=0.003)and working status(P=0.011)significantly affected the behavior score.CONCLUSION The knowledge,cultural beliefs,and behavior about medication safety among the general population was moderate.Health education should be provisioned for the elderly,individuals with a low education level,and the unemployed to improve medication safety in Harbin,China.

Nutrition Awareness and Knowledge and Body Mass Index in Adolescents in Public Junior Secondary Schools

Background: Non-communicable diseases are increasing among adolescents. The decision about diet is the foundation of eating habits that could persist to adulthood. Dietary decisions, which usually are hard to change later in life, make nutrition education at school paramount to prevent obesity and NCDs, and promote healthy eating. Objectives: To assess level of nutrition awareness and knowledge of healthy eating and food intake behaviors and association with Body Mass Index (BMI) and age. Methods: A cross sectional study that included measures such as age, gender, socioeconomic status, BMI, and nutrition knowledge was conducted in 264 respondents from 18th June 2015 to 9th July 2015. The nutrition knowledge questionnaire was composed of 24 questions divided into food nutrients, food contents, healthiest foods, and energy expenditure and nutrition benefits. CDC BMI chart for 2-20-year-olds was used to plot respondent’s weight and height. Results: The mean age of the respondents was 14.3 years (SD 0.79). Most of the respondents (153/252, 53.6%) had a low socio-economic status as categorized by the present study. The mean (SD) BMI was 20.08 (3.90). Most respondents (56.3%, 142/252) failed the knowledge test and scored below 50% and only two respondents (0.8%) had excellent nutrition knowledge. The mean percentage achieved was 46.1% (SD 15.91) ranging from 8.3% to 87.5%. There was a significant correlation between nutrition knowledge and BMI (p = 0.001). Conclusion: The study shows that adolescents do not have adequate nutrition knowledge, placing them at risk for developing non-communicable diseases later in life. Nutrition education programs are urgently needed for teachers, parents, and children.

GATiT:An Intelligent Diagnosis Model Based on Graph Attention Network Incorporating Text Representation in Knowledge Reasoning

The growing prevalence of knowledge reasoning using knowledge graphs(KGs)has substantially improved the accuracy and efficiency of intelligent medical diagnosis.However,current models primarily integrate electronic medical records(EMRs)and KGs into the knowledge reasoning process,ignoring the differing significance of various types of knowledge in EMRs and the diverse data types present in the text.To better integrate EMR text information,we propose a novel intelligent diagnostic model named the Graph ATtention network incorporating Text representation in knowledge reasoning(GATiT),which comprises text representation,subgraph construction,knowledge reasoning,and diagnostic classification.In the text representation process,GATiT uses a pre-trained model to obtain text representations of the EMRs and additionally enhances embeddings by including chief complaint information and numerical information in the input.In the subgraph construction process,GATiT constructs text subgraphs and disease subgraphs from the KG,utilizing EMR text and the disease to be diagnosed.To differentiate the varying importance of nodes within the subgraphs features such as node categories,relevance scores,and other relevant factors are introduced into the text subgraph.Themessage-passing strategy and attention weight calculation of the graph attention network are adjusted to learn these features in the knowledge reasoning process.Finally,in the diagnostic classification process,the interactive attention-based fusion method integrates the results of knowledge reasoning with text representations to produce the final diagnosis results.Experimental results on multi-label and single-label EMR datasets demonstrate the model’s superiority over several state-of-theart methods.

Combining Deep Learning with Knowledge Graph for Design Knowledge Acquisition in Conceptual Product Design

The acquisition of valuable design knowledge from massive fragmentary data is challenging for designers in conceptual product design.This study proposes a novel method for acquiring design knowledge by combining deep learning with knowledge graph.Specifically,the design knowledge acquisition method utilises the knowledge extraction model to extract design-related entities and relations from fragmentary data,and further constructs the knowledge graph to support design knowledge acquisition for conceptual product design.Moreover,the knowledge extraction model introduces ALBERT to solve memory limitation and communication overhead in the entity extraction module,and uses multi-granularity information to overcome segmentation errors and polysemy ambiguity in the relation extraction module.Experimental comparison verified the effectiveness and accuracy of the proposed knowledge extraction model.The case study demonstrated the feasibility of the knowledge graph construction with real fragmentary porcelain data and showed the capability to provide designers with interconnected and visualised design knowledge.

A Survey of Knowledge Graph Construction Using Machine Learning

Knowledge graph(KG)serves as a specialized semantic network that encapsulates intricate relationships among real-world entities within a structured framework.This framework facilitates a transformation in information retrieval,transitioning it from mere string matching to far more sophisticated entity matching.In this transformative process,the advancement of artificial intelligence and intelligent information services is invigorated.Meanwhile,the role ofmachine learningmethod in the construction of KG is important,and these techniques have already achieved initial success.This article embarks on a comprehensive journey through the last strides in the field of KG via machine learning.With a profound amalgamation of cutting-edge research in machine learning,this article undertakes a systematical exploration of KG construction methods in three distinct phases:entity learning,ontology learning,and knowledge reasoning.Especially,a meticulous dissection of machine learningdriven algorithms is conducted,spotlighting their contributions to critical facets such as entity extraction,relation extraction,entity linking,and link prediction.Moreover,this article also provides an analysis of the unresolved challenges and emerging trajectories that beckon within the expansive application of machine learning-fueled,large-scale KG construction.

Reflective practice and knowledge development: Transforming research for a practice-based discipline

Knowledge development to guide evidence-informed practice is a cornerstone of nursing as a practice-based discipline.The emphasis on empirical knowledge development overshadows other ways of knowledge developmentdpersonal,aesthetic,and ethical.Technical,objective knowledge development is more dominant than knowledge development for delivering holistic,personcentered care.Personal,aesthetic,and ethical ways of knowing are essential factors in satisfying work environments,patient satisfaction,and nurse retention.Boyer's model of scholarship development defining the scholarship of discovery,teaching,application,and integration guide nurses in building programs of scholarship informing the practice of nursing in practice and academia with an aim of improving and transforming healthcare delivery and patient outcomes.The purpose of this paper is to describe the various forms of scholarship described by Boyer as priorities in knowledge development,examine how the multiple ways of knowing expand traditional empirical perspectives of knowledge development,and present the value of reflective practices that undergird knowledge generation,integration,and application for holistic personcentered safe quality care.Reflective practices have a unique contribution to forming the unique art and science of nursing as a practice-based discipline.

Knowledge, Attitudes and Perceptions of Colorectal Cancer Screening in Brazzaville

Objective: assess the knowledge, attitudes, and perceptions of Brazzaville residents on colorectal cancer and its screening. Population and Methods: a CAP-type cross-sectional study was conducted from June 1 to October 31, 2022, with 803 workers approached at their place of service. Information was collected using a questionnaire administered to participants. The variables studied concerned knowledge, attitudes, and perceptions about colorectal cancer. SPSS software, along with Chi-square and Fisher tests, was used for data entry and analysis. Odds ratios were calculated to determine the strength of the association between variables. Results: The average age of the participants was 33.5 ± 10 years, with a sex ratio of 0.9. There were 231 health workers. The main sources of information were health personnel (78.2%) and the internet (52.6%). The site of the pathology was known to 87% of participants. About 40% identified age, genetic predispositions, and a diet rich in animal fats as risk factors. No signs of the disease were known by 50% of the participants. Colonoscopy was known as a screening method by 40% of participants. Seventy-five percent were willing to participate in a CRC awareness campaign, but only 5% agreed to a screening colonoscopy, although 96% recognized its usefulness. Overall, the level of knowledge was insufficient in 70.4% of cases;attitudes were adapted in 55.7% of cases, and perceptions were adapted in 97.3% of cases. Factors influencing knowledge included young age (p = 0.006), a good level of education, being a healthcare worker, and high socio-economic level. Conclusion: colorectal cancer and its screening are poorly understood by the population. Awareness activities must be organized to improve knowledge and promote screening and early diagnosis of CRC.