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1.
Computers & Industrial Engineering ; : 108941, 2022.
Article in English | ScienceDirect | ID: covidwho-2165159

ABSTRACT

Smart healthcare is an integral part of a smart city, which provides real time and intelligent remote monitoring and tracking services to patients and elderly persons. In the era of an extraordinary public health crisis due to the spread of the novel coronavirus (2019-nCoV), which caused the deaths of millions and affected a multitude of people worldwide in different ways, the role of smart healthcare has become indispensable. Any modern method that allows for speedy and efficient monitoring of COVID19-affected patients could be highly beneficial to medical staff. Several smart-healthcare systems based on the Internet of Medical Things (IoMT) have attracted worldwide interest in their growing technical assistance in health services, notably in predicting, identifying and preventing, and their remote surveillance of most infectious diseases. In this paper, a real time health monitoring system for COVID19 patients based on edge computing and fuzzy logic technique is proposed. The proposed model makes use of the IoMT architecture to collect real time biological data (or health information) from the patients to monitor and analyze the health conditions of the infected patients and generates alert messages that are transmitted to the concerned parties such as relatives, medical staff and doctors to provide appropriate treatment in a timely fashion. The health data are collected through sensors attached to the patients and transmitted to the edge devices and cloud storage for further processing. The collected data are analyzed through fuzzy logic in edge devices to efficiently identify the risk status (such as low risk, moderate risk and high risk) of the COVID19 patients in real time. The proposed system is also associated with a mobile app that enables the continuous monitoring of the health status of the patients. Moreover, once alerted by the system about the high risk status of a patient, a doctor can fetch all the health records of the patient for a specified period, which can be utilized for a detailed clinical diagnosis.

2.
Applied Soft Computing ; : 109933, 2022.
Article in English | ScienceDirect | ID: covidwho-2165090

ABSTRACT

The growth of the "Internet of Medical Things (IoMT)” allows for the collection and processing of data in healthcare systems. At the same time, it is challenging to study the requirements of public health prevention. Here, mask-wearing is considered an efficient preventive measure for avoiding virus transfer. Hence, it is necessary to implement an automated mask identification model to prevent public epidemics. The main scope of the proposed method is to design a face mask detection model with IoT using a "Single Shot Multi-box Detector (SSD)” and a hybrid deep learning method. The novelty of the proposed model is that the enhancement made in the face detection and face classification with the developed ASMFO by optimizing the parameters like the threshold in SSD, steps per execution in ResNet, and learning rate in MobileNet, which makes it more efficient and to perform better the conventional models. Here, the parameter optimization is carried out using a hybrid optimization algorithm named Adaptive Sailfish Moth Flame Optimization (ASMFO). Then, the detected face images are given to the hybrid approach named Hybrid ResMobileNet (HResMobileNet)-based classification, where the parameters are tuned using the same ASMFO algorithm for achieving accurate mask detection results. However, the suggested mask identification model with IoT based on three standard datasets is compared with the conventional meta-heuristic algorithms and existing classifiers with various measures. Thus, the experimental analysis is conducted to analyze the effectiveness of the proposed framework over different meta-heuristic algorithms and existing classifiers. The implemented ASMFO-HResMobileNet provides 18.57%, 15.67%, 17.56%, 16.24%, and 19.2% elevated accuracy than SVM, CNN, VGG16-LSTM, ResNet 50, MobileNetv2, and ResNet 50-MobileNetv2.

3.
Technological Forecasting and Social Change ; 188:122293, 2023.
Article in English | ScienceDirect | ID: covidwho-2165895

ABSTRACT

In recent years two business practices, namely zero-rating (ZR) and prioritization (PR), have been widely discussed and debated. The debate is mostly built around the idea that these two practices violate the so-called net neutrality (NN) principle, which requires that all Internet data packages are treated equally. There is no unanimous consensus among scholars about NN and the adopted regulations are heterogeneous across countries, variable over time, and often contentious. In any case, the current judgements and regulations do not take into consideration exceptional circumstances, like the Covid-19 pandemic, in which an Internet connection becomes essential to carry on fundamental socio-economic activities. Focusing on the European case, in this paper we claim that, in a context such as a global pandemic, the practices of ZR and PR have to be re-examined. We do so through the perspective of the social contract theory developed by John Rawls. Our main conclusion is that, during a conjunctural crisis, where an Internet connection becomes an essential tool, ZR and PP should both be allowed. Our contribution goes towards the direction of adding a provisio to the standard European Internet regulation, allowing ZR and PR in specific contexts.

4.
Psychiatry Research ; : 115044, 2022.
Article in English | ScienceDirect | ID: covidwho-2165774

ABSTRACT

Aims: To examine whether the onset of the COVID-19 pandemic led to a change in demand for psychiatric treatment, interest in internet-based therapy, and differences in treatment requests by self-reported diagnoses (e.g., Posttraumatic Stress Disorder, Obsessive Compulsive Disorder, Generalized Anxiety Disorder, and Social Anxiety Disorder). Methods: Using an interrupted time series design, we analyzed intake questionnaires of treatment-seeking patients (N=1,954) at an anxiety treatment center between June 6, 2019 through September 13, 2021. Results: The change in general treatment-seeking from before to immediately after the global pandemic declaration was not statistically significant. However, there was a steady increase in treatment seeking, with a more pronounced increase from 2020 into 2021. Interest in internet-based therapy increased significantly after the onset of COVID-19. The number of treatment-seeking individuals who self-reported "concerns or diagnoses” of PTSD increased significantly. Conclusions: The study supports anecdotal reports from clinics across the country about unprecedented demand for services. It highlights that many patients experienced an immediate impact of the pandemic on their self-reported concerns about trauma and PTSD symptoms, which has important clinical implications. It also highlights a shifting openness to internet-based services during the pandemic.

5.
Nano Energy ; : 108183, 2023.
Article in English | ScienceDirect | ID: covidwho-2165730

ABSTRACT

Earth's plastic pollution has increased due to the COVID-19 pandemic, and the world is on the doorstep of an enormous waste pandemic. The extensive use of mandatory personal protectives like masks, gloves, and PPE kits and the lack of proper waste management systems lead to a rise in the plastic pollution content of the earth. Such disposable and non-biodegradable personal protectives are thrown out to the environment after use. These distributed wastes pollute land, soil, and water bodies and effects their ecosystems. This research work establishes the concept of a waste-to-energy conversion approach to reuse COVID-19 scraps for green and sustainable development. Three-layered surgical masks and nitrile gloves were reused in this work after sterilization for energy harvesting and sensing applications by fabricating a 3D-printed contact-separation-based triboelectric nanogenerator. A piece of three-layered mask and nitrile gloves were placed inside the 3D structure as the top negative and bottom positive triboelectric materials with copper and aluminium as corresponding electrodes (MG-CS TENG). It can convert external mechanical motions into electrical energy. The maximum voltage, current, and power density obtained from the device are 50.7V, 4.8µA, and 6.39µW/cm2, respectively, for a mechanical force of 9N. The harvested energy was sufficient to power small-scale electronic devices like digital tally counters, wristwatches, lumex displays, and series connected 25 LEDs. MG-CS TENG was also performed as a pedal-operated touch sensor to dispense hand sanitizer. MG-CS TENG was pedal pressed to trigger a microcontroller and control the solenoid valve's opening and closing to regulate sanitizer flow. The setup was integrated using the internet of things (IoT) and Blynk cloud services for the remote monitoring and controlling of the sanitizer dispenser using a smartphone. This work contributes a substantial role in disaster management to suppress microplastic environmental pollution by reusing pandemic wastes for energy harvesting and sensing applications and preventing the spread of coronavirus through proper hand sanitization.

6.
Journal of Psychiatric Research ; 158:104-113, 2023.
Article in English | ScienceDirect | ID: covidwho-2165626

ABSTRACT

It is important to understand the relationship between stress and problematic use of social media (PUSM). However, no study to our knowledge has yet investigated the longitudinal relationship between perceived stress and PUSM via positive and negative reinforcement processes. The present study investigated relationships between COVID-19-pandemic-related stress and PUSM and possible moderating effects of motives for using social media (positive and/or negative reinforcement) during and following a COVID-19-pandemic-related lockdown. Six-hundred-and-sixty participants initially completed a survey including self-report measures of PUSM, COVID-19-pandemic-related stress, and motives for using social media (i.e., for negative reinforcement involving coping and conformity or positive reinforcements involving enhancement and social motives). During the COVID-19 outbreak recovery period, 117 participants again completed the survey. Bayesian analyses revealed that PUSM was associated with higher COVID-19-pandemic-related stress levels and use of social media for coping, conformity, and enhancement purposes. Longitudinally, PUSM symptom worsening was associated with increased use of social media for coping motives regardless of levels of perceived stress. Use of social media for conformity and enhancement purposes moderated relationships between stress levels during lockdown and PUSM symptoms worsening after lockdown. Our findings corroborate the hypothesis that negative reinforcement processes may be key factors in PUSM symptom worsening regardless of perceived stress. Concurrently, high levels of stress may worsen PUSM through positive reinforcement processes.

7.
Disease Surveillance ; 37(2):151-153, 2022.
Article in Chinese | GIM | ID: covidwho-1849846

ABSTRACT

Objective: To assess the risk of public health emergencies, both the indigenous ones and the imported ones, which might occur in the mainland of China in February 2022.

8.
BMC Public Health ; 22(1): 1445, 2022 Jul 29.
Article in English | MEDLINE | ID: covidwho-1965762

ABSTRACT

BACKGROUND: Internet search volume reflects the level of Internet users' risk perception during public health events. The Internet search volume index model, an algorithm of concentration of Internet users, and statistical analysis of popular topics on Weibo are used to analyze the effects of time, space, and space-time interaction. We conducted in-depth research on the characteristics of the spatial and temporal distribution of Internet users' risk perceptions of public health events and the associated influential factors. METHODS: We analyzed the spatiotemporal distribution characteristics of Internet users' risk perception after the Wuhan "city closing" order during the coronavirus disease 2019 (COVID-19) pandemic. We established five linear regression models according to different time periods and analyzed factors influencing Internet users' risk perception by employing a Poisson and spatial distribution and topic modeling analysis. RESULTS: Economy, education, health, and the degree of information disclosure affect Internet users' risk perception significantly. Internet users' risk perception conforms to the exponential distribution law in time and has periodic characteristics and stability trends. Additionally, Internet users' average arrival rate dropped from week 1 to week 8 after the "city closing." Internet users' risk perception has a uniform distribution in space, economic and social development level distribution consistency, spatial agglomeration, and other characteristics. The results of the time-space interaction show that after 8 weeks of COVID-19, Internet search hot topics have become more stable, and Internet users' information demand structure has become more rational. CONCLUSIONS: The Internet search cycle of the COVID-19 event is synchronized with the evolution cycle of the epidemic. The physical risk of Internet users is at the top of the risk structure, focusing on the strong concern about the government's ability to control COVID-19 and its future trend. The government should strengthen network management; seize the risk control focus of key time nodes, regional locations, and information content of online communication; actively adjust the information content supply; effectively control the rebound of Internet users' risk perception; establish a data-driven, risk-aware intelligence system for internet users; and guide people to actively face and overcome the potential risks and threats of COVID-19.

9.
Appl Energy ; 313: 118848, 2022 May 01.
Article in English | MEDLINE | ID: covidwho-2158437

ABSTRACT

This paper proposes a time-series stochastic socioeconomic model for analyzing the impact of the pandemic on the regulated distribution electricity market. The proposed methodology combines the optimized tariff model (socioeconomic market model) and the random walk concept (risk assessment technique) to ensure robustness/accuracy. The model enables both a past and future analysis of the impact of the pandemic, which is essential to prepare regulatory agencies beforehand and allow enough time for the development of efficient public policies. By applying it to six Brazilian concession areas, results demonstrate that consumers have been/will be heavily affected in general, mainly due to the high electricity tariffs that took place with the pandemic, overcoming the natural trend of the market. In contrast, the model demonstrates that the pandemic did not/will not significantly harm power distribution companies in general, mainly due to the loan granted by the regulator agency, named COVID-account. Socioeconomic welfare losses averaging 500 (MR$/month) are estimated for the equivalent concession area, i.e., the sum of the six analyzed concession areas. Furthermore, this paper proposes a stochastic optimization problem to mitigate the impact of the pandemic on the electricity market over time, considering the interests of consumers, power distribution companies, and the government. Results demonstrate that it is successful as the tariffs provided by the algorithm compensate for the reduction in demand while increasing the socioeconomic welfare of the market.

10.
Front Psychiatry ; 13: 947360, 2022.
Article in English | MEDLINE | ID: covidwho-2154828

ABSTRACT

Background: The outbreak of COVID-19 has affected the mental health of adolescents. To describe the Internet behavior-changing patterns of adolescents and to understand the impact of clinical features on changing patterns during the COVID-19 pandemic. Materials and methods: We conducted a cross-sectional cohort study using data collected through online investigation in China. A total of 625 adolescents completed the online survey from May 15 to June 7, 2020. The adolescents were asked to retrospect to the Internet behaviors and game behaviors of three time periods as follows: before the COVID-19 outbreak in China, during the COVID-19 outbreak in China, and back to school. The clinical variables of the demographic data, family functionality, and emotional and behavioral symptoms were also collected. According to the Internet behaviors and game behaviors patterns across the three time periods, the subjects will be sub-grouped. Results: Four Internet behavior-changing patterns during the COVID-19 was identified: (1) Continuous Normal Group (55.52%); (2) Normal to Internet Addiction Group (5.28%); (3) Internet Addiction to Normal Group (14.56%); and (4) Continuous Internet Addiction Group (24.64%). Years of education, academic score ranking, family functionality, and emotional and behavioral symptoms were different across the four groups. Proportions of game behaviors, scores of Strengths and Difficulties Questionnaire (SDQ), and SDQ subscale during the period before the COVID-19 outbreak were significant in predicting changing patterns. Conclusion: The Internet behavior patterns of adolescents during the COVID-19 period were various. Clinical features before the COVID-19 pandemic may predict changing patterns. The heterogeneity in characteristics between different changing patterns should be considered when intervening in adolescents' problematic Internet behavior.

11.
Front Pharmacol ; 13: 1027808, 2022.
Article in English | MEDLINE | ID: covidwho-2154782

ABSTRACT

Background: Recently, internet hospitals have been emerging in China, saving patients time and money during the COVID-19 pandemic. In addition, pharmacy services that link doctors and patients are becoming essential in improving patient satisfaction. However, the existing internet hospital pharmacy service mode relies primarily on manual operations, making it cumbersome, inefficient, and high-risk. Objective: To establish an internet hospital pharmacy service mode based on artificial intelligence (AI) and provide new insights into pharmacy services in internet hospitals during the COVID-19 pandemic. Methods: An AI-based internet hospital pharmacy service mode was established. Initially, prescription rules were formulated and embedded into the internet hospital system to review the prescriptions using AI. Then, the "medicine pick-up code," which is a Quick Response (QR) code that represents a specific offline self-pick-up order, was created. Patients or volunteers could pick up medications at an offline hospital or drugstore by scanning the QR code through the window and wait for the dispensing machine or pharmacist to dispense the drugs. Moreover, the medication consultation function was also operational. Results: The established internet pharmacy service mode had four major functional segments: online drug catalog search, prescription preview by AI, drug dispensing and distribution, and AI-based medication consultation response. The qualified rate of AI preview was 83.65%. Among the 16.35% inappropriate prescriptions, 49% were accepted and modified by physicians proactively and 51.00% were passed after pharmacists intervened. The "offline self-pick-up" mode was preferred by 86% of the patients for collecting their medication in the internet hospital, which made the QR code to be fully applied. A total of 426 medication consultants were served, and 48.83% of them consulted outside working hours. The most frequently asked questions during consultations were about the internet hospital dispensing process, followed by disease diagnosis, and patient education. Therefore, an AI-based medication consultation was proposed to respond immediately when pharmacists were unavailable. Conclusion: The established AI-based internet hospital pharmacy service mode could provide references for pharmacy departments during the COVID-19 pandemic. The significance of this study lies in ensuring safe/rational use of medicines and raising pharmacists' working efficiency.

12.
Procedia Comput Sci ; 204: 844-853, 2022.
Article in English | MEDLINE | ID: covidwho-2150436

ABSTRACT

Covid-19 pandemic has severely affected the human lives and businesses around the world. Globally, the demand for hospitality services is at an all-time low due to borders closing and restricted movement in various countries. This article highlights the impact of Covid-19 on the hospitality industry, mainly hotels and restaurants. It further discusses ICT (Information and Communication Technology) and machine learning-based solutions for the current and future pandemics. The study has used the exploratory research method. It has referred to the existing theoretical and empirical findings in the hospitality establishment with regard to the Covid-19 impact.

13.
Trends Psychiatry Psychother ; 2021 May 12.
Article in English | MEDLINE | ID: covidwho-2156290

ABSTRACT

BACKGROUND: Given the social distancing adopted during the COVID-19 pandemic, the internet has been transformed from a convenience into a necessity. The behavioral changes caused by isolation have ranged from adaptation of consumption, work, and teaching routines to leisure options to occupy idle time at home. Such transformations can be positive by expanding the use of digital technologies, but they can also have serious future physical and emotional consequences if there is no conscious use of technological devices. OBJECTIVE: The study aimed to validate the BCSDTSD instrument for assessing behavioral changes related to the use of digital technologies during social distancing. METHOD: Validation of the BCSDTSD in 5 phases: 1. construction of an initial scale with 10 questions; 2. evaluation of the questions by a panel of experts; 3. application to 1,012 volunteers via the internet; 4. statistical analysis of the results; and 5. preparation of the validated final version of the BCSDTSD. Data analysis used the dplyr, psy, and paran packages and the REdaS statistical program. Three statistical criteria were used in the factor analysis (FA). RESULTS: FA confirmed the maintenance of the 10 questions in the questionnaire, confirming its robust construction, and Cronbach's alpha reinforced the internal consistency with a value of 0.725, which is satisfactory for first-application questionnaires. CONCLUSION: The BCSDTSD instrument was validated to assess behavioral changes related to the use of digital technologies during social distancing.

14.
NeuroQuantology ; 20(16):3930-3942, 2022.
Article in English | EMBASE | ID: covidwho-2164842

ABSTRACT

An appropriate mask protects individuals from infectious illness and greatly minimises the spread of COVID-2019 in public spaces like institutions and temples. This needs surveillance technology capable of detecting persons wearing correctly fitted masks. However, this is not the purpose of the face detection algorithms that are currently in use.The researchers suggest a two-stage technique for identifying mask wear using hybrid machine learning algorithms in this paper. The first step involves identifying as many possible candidate locations for wearing masks as possible employing Faster RCNN and ResNet V2 structures.In comparison, the second step entails employing a massive learning system to validate the real face masks. It is achieved by the training of a model with two classes. Additionally, this article describes a data collection conducted during the Market, Malls and contains 2804 realistic images. The suggested method exceeds all other techniques that are already in use, with an accuracy rate of 99.2 percent for straightforward circumstances. Copyright © 2022, Anka Publishers. All rights reserved.

15.
20th International Conference on Modeling and Applied Simulation, MAS 2021 ; : 127-135, 2021.
Article in English | Scopus | ID: covidwho-2164746

ABSTRACT

In this research paper, we propose a hybrid agent-based and discrete-event simulation model coupled with a RFID/IoT infrastructure for improving COVID19 test centers located in Montreal region. This study is important, since defining an optimal capacity for healthcare operations is always a challenge, especially in a pandemic mode. Indeed, in such situations, all managers are more concerned by the effectiveness of daily operations regardless their efficiency. Even though, this can be meaningful and largely acceptable, it could lead to critical situations depending on how the current situation may evolve. To improve the performance of COVID19 test centers, it requires a good understanding of logistics flows and a visibility on daily patient inflows and different resource utilization. We propose a RFID/IoT infrastructure that captures test centers real time data and make them available to be used by our hybrid simulation model. The model uses real time data to continuously adjust test centers capacity. This study is part of a bigger project conducted in Montreal region where we design and develop Digital Twins modules to assist different healthcare units such as emergency departments, COVID19 vaccination centers as well as COVID19 test centers. © 2021 The Authors.

16.
Global Media Journal ; 20(54):1-6, 2022.
Article in English | ProQuest Central | ID: covidwho-2164720

ABSTRACT

Internet memes can be shared from one virtual social networking site to another. The natural selection of behavior and operant conditioning is a joint product in the evolutionary system of learning. The unique feature of Internet memes is that they are 'half-baked joke', internet users need to understand with their conscious (person's awareness). Internet memes are highly visual and intersexual;they are not only still images, but they also consist videos, GIF (Graphic Interchange Format), editorial cartoons, animated image or songs clip with image or punch line or aphorism quotes, catchphrases of movies or statement without added text [3, 4].

17.
Signo Y Sena-Revista Del Instituto De Linguistica ; 41, 2022.
Article in Portuguese | Web of Science | ID: covidwho-2164691

ABSTRACT

It is notorious that the word live, originally English, has been used in Brazilian Portuguese. Based on that assumption, in this paper, we aim to observe if this lexical unit has assumed distinct uses and meanings in relation to the English language, especially during the period in which the Brazilians were in quarantine due to the COVID-19 pandemic. Thus, we sought to investigate them guided by the following questions: how is the word live being incorporated in Brazilian Portuguese from a linguistic and cultural viewpoint? Is it a foreignism or is it already possible to recognize it as a neologism? To answer these questions, we are founded on the theoretical assumptions of the lexical studies regarding foreignisms and neologisms, as well as on some considerations about the linguistic and cultural exchange in the virtual environment. Also, methodologically, we use the web as a corpus to carry out and support our analysis.

18.
Journal of the Society of Thoracic Carido-Vascular Anaesthesia & Intensive Care ; 28(4):345-356, 2022.
Article in Turkish | Academic Search Complete | ID: covidwho-2164317

ABSTRACT

Objectives: This study was planned to evaluate the perspectives, experiences, and methods followed by physicians on the treatment and management of COVID-19 infection, which affects the whole world. Methods: In this study, in which physicians were included in the study, a questionnaire consisting of 21 questions was conducted in the electronic environment. The questionnaire questions included the treatment methods applied by the physicians during the COVID-19 pandemic, the guidelines they followed and their own clinical experiences. Results: Our study was conducted with a total of 200 physicians, 72 (36.0%) men and 128 (64.0%) women. The mean age of the physicians was 36.54±7.40 years. In the management and treatment of COVID-19 patients, 78.5% of the participants preferred to use the Ministry of Health's COVID-19 Outbreak Management and Study Guide (MHCOMSG) and 60.5% preferred to use the current international guidelines. In the oxygen support management of hypoxemic patients, 53.5% of the participants preferred to follow their personal experience and experience, 52.5% of them preferred to follow the MHCOMSG, 51% of them preferred to follow the current international guidelines. There is a statistically significant relationship between the duration of professional experience, the institution where the employee is working and treatment management preferences. Conclusion: During the COVID-19 pandemic process, physicians preferred to follow the MHCOMSG in treatment and patient management. It is important for health-care professionals to follow new developments closely and to make updates on COVID-19 published online by official government health officials in terms of health workers' preferences in accessing information. (English) [ FROM AUTHOR]

19.
Journal of Public Health in Africa ; 13(s2) (no pagination), 2022.
Article in English | EMBASE | ID: covidwho-2163857

ABSTRACT

The prevalence of teen smokers has increased during the Covid-19 pandemic. Smoking behavior occurs due to exposure to advertising and the promotion of cigarettes. This quantitative research was conducted using cross-sectional approach. The purpose of the study was to analyze the relationship between advertising exposure and cigarette promotion on adolescent smoking behavior in Malang Regency during the pandemic using the chi-square test. Random sampling on students from several high schools or equal degree in the Kepanjen District was done with a total of 145 respondents. The results showed that there was no significant relationship between age, types of cigarette advertising media at the point of sale, outdoor media, social media, internet, and newspapers or magazines by adolescent smoking behavior during the Covid-19 pandemic (p-value > 0.05). Exposure to cigarette advertisements on television, total exposure to cigarette advertisements, cigarette promotion, and gender had a significant relationship with adolescent smoking behavior during the pandemic (p value < 0.05). Adolescents are quite highly exposed to the various types of advertisements and promotions of cigarettes that can influence increased smoking behavior during the pandemic. Copyright © the Author(s),2022.

20.
Sustainability ; 14(23):16075, 2022.
Article in English | ProQuest Central | ID: covidwho-2163578

ABSTRACT

This article is aimed at identifying the potential of various ethno-cultural practices in the Sasak community with a view of developing them as ethno-cultural attractions to sustain tourists to stay longer in Lombok. Various ethno-cultural practices in relation to folklore, festivals, sports, music, food, beverage, and cultural events were identified, and the tourism potentials were also measured. Data were collected by directly observing and video-recoding the ethno-cultural events, interviewing cultural leaders, religious clerics, community leaders, tourism practitioners, tourism experts, tourism workers' organizations, entrepreneurs, and governments. With content analysis, the study has identified ethno-cultural practices with the potential to be an alternative to Lombok's tourist attractions. These practices are not only essential for Indonesian multiculturalism but are also a resource for improving the economic quality of Sasak families and communities. The article also recommends strategies for this development.

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