Community Medicine Clerkship amidst COVID-19 Pandemic: Re-designing, Implementation, and Evaluation

Clerkship on primary care and family medicine is multi-elemental and was very challenging during the COVID-19 pandemic. Some medical students postponed their graduation because the clerkship at the health center could not be carried out in a pandemic situation. This article aims to describe the community medicine clerkship (CMC) module and its implementation amidst the COVID-19 pandemic. This module was delivered by online and offline activities from 10th August to 13th September 2020. A total of forty students, twelve faculty mentors, and fifteen Primary Health Care (PHC) preceptors from ten PHCs in the Tangerang District, Indonesia were involved. Students could carry out activities and fulfil assignments given in the midst of a pandemic with a re-designing of the CMC module. The one-sample t-tests were employed to compare the difference between the study values and the values before the COVID-19 pandemic. The study showed that the scores of students participating in CMC module during the COVID-19 pandemic were significantly different from the scores before the pandemic in terms of both individual and group scores. The findings of the study clearly indicated that all clinical clerkship modules must be redesigned to suit the current conditions. Modifications and variations of various learning methods, guidance techniques, monitoring and coordination are all factors that must be considered in implementing changes to these modules. © 2023 Dwi Tyastuti, Risahmawati Risahmawati, Marita Fadhillah, Fika Ekayanti, Sity Kunarisasia & Ahmad A. Habibi.

Visual analysis of mask sales data based on crawler

The outbreak of COVID-19 makes people feel distant from each other, and masks have become one of the indispensable articles in People's Daily life. At present, there are many brands of masks with various types and uneven quality. In order to understand the current market of masks and the sales of different brands, users can choose masks with perfect quality. This paper uses Python web crawler technology, based on the input of the word "mask", crawl JD website sales data, through data visualization technology drawing histogram, pie chart, the word cloud, etc., for goods compared with the relationship between price, average price of all brands, brands, average distribution of analysis and evaluation of user information, In this way, the sales situation, price distribution and quality evaluation of each store of the product can be visually displayed. At the same time, it also provides some reference for other users who need to buy the product. © The Authors. Published under a Creative Commons Attribution CC-BY 3.0 License.

OPEES: Online Proctored Entrance Examination System with Degree Program Recommender for Colleges and Universities

The college entrance examination is vital for program admission. Typically, entrance examinations are conducted onsite using paper and pens. When the COVID-19 pandemic hit, the entrance examination was lifted and physical gatherings were prohibited. Since many schools cannot offer an online admissions exam, they rely on grades and interviews to admit and qualify students for degree programs. However, academic standards differ between schools, and grades may not be enough to assess students' capacity. Thus, this study aims to develop an Online Proctored Entrance Examination System (OPEES) with Degree Program Recommender for colleges and universities to help institutions administer onsite or online entrance tests and generate course suggestions using a rulebased algorithm. The study employed the scrum methodology in software development. OPEES allows applicants to submit applications online, and institutions can manage user accounts, tailor exams and degree programs' criteria, manage exam dates, and assign proctors. Online proctoring using Jitsi, an opensource multiplatform voice, video, and instant messaging tool with end-to-end encryption, ensures exam integrity. The system's features were evaluated by 102 respondents, comprised of end-users (students and school personnel) and IT professionals, using the FURPS (Functionality, Usability, Reliability, Performance, and Supportability) software quality model. In the software evaluation, the overall system proved to be functional as perceived by the respondents, as manifested by the mean rating of 4.61. In conclusion, the system's architecture was deemed feasible and offers a better way to streamline admission examinations and determine a student's applicable degree program by enabling institutions to customize their exams and degree program requirements. It will be beneficial to look into recommendation system algorithms and historical enrollment data to improve the system's use case. © 2022 IEEE.

Towards Augmented Reality Guiding Systems: An Engineering Design of an Immersive System for Complex 3D Printing Repair Process

Over the past decade, additive manufacturing (AM) has become widely adopted for both prototyping and, more recently, end-use products. In particular, fused deposition modeling (FDM) is the most widespread form of additive manufacturing due to its low cost, ease of use, and versatility. While additive processes are relatively automated, many steps in their operation and repair require trained human operators. Finding such operators can be difficult, as highlighted during the recent COVID-19 pandemic. Augmented reality (AR) systems could significantly help address this challenge by automating the training for 3D printer operators. Given multidimensional design choices, however, a research gap exists in the system requirements for such immersive guidance. To address this need, we explore the applicability of AR to guide users through a repair process. In that context, we report on the system design as well as the results of the AR system assessment in a qualitative study with experts. © 2023 IEEE.

Insights from India's Encounters with COVID-19

The uncertainties relating to the COVID-19 pandemic continue to pose extraordinary challenges to policymakers worldwide. The recent lifting of restrictions in China raised the spectre of another wave of infections beyond its borders, which has thankfully not occurred, so far. Now, three years after the pandemic emerged, policy assumptions and responses are being re-evaluated-from whether the virus emerged as a laboratory leak, to whether vaccines have efficacy, to whether Sweden's laissez-faire approach was superior to other countries' ambitious interventions. We examine India's experience with COVID-19-impressionistically-to draw larger lessons for policymakers. India's responses were a mix of hits and misses. Some measures helped contain the pandemic and assisted those in need. Other measures seemed performative-geared towards garnering glory on the global stage. Together, they throw light on the challenges of coping with a crisis in real time.

Participatory Monitoring and Evaluation of the COVID-19 Response in the Africa Region.

As the COVID-19 pandemic swept throughout the world, it created a demand for information to help understand the public health response and its effects. Limited capacity to see and interpret data-"sensemaking" with measures of progress-affects the use of data for quality improvement. The World Health Organization Regional Office for Africa (WHO AFRO) supported partners from the Member States in using a participatory monitoring and evaluation system to document and systematically reflect on the COVID-19 response at the country level. The WHO AFRO's COVID-19 Response Monitoring and Evaluation (M&E) team captured and communicated response activities based on available reports from 35 of the 47 member countries. By reviewing reports and communications, the M&E team documented nearly 8,000 COVID-19 response activities during the study period (January 2020 through July 2021). A "sensemaking" protocol was used to support country partners in identifying factors associated with increases or decreases in both new cases and response activities. This report describes this participatory M&E approach and process of shared sensemaking. We illustrate with a country-level case study of the COVID-19 response in the Africa Region.

MMSports'22: 5th International ACM Workshop on Multimedia Content Analysis in Sports

The fifth ACM International Workshop on Multimedia Content Analysis in Sports (ACM MMSports'22) is part of the ACM International Conference on Multimedia 2022 (ACM Multimedia 2022). After two years of pure virtual MMSports workshops due to COVID-19, MMSports'22 is held on-site again. The goal of this workshop is to bring together researchers and practitioners from academia and industry to address challenges and report progress in mining, analyzing, understanding, and visualizing multimedia/multimodal data in sports, sports broadcasts, sports games and sports medicine. The combination of sports and modern technology offers a novel and intriguing field of research with promising approaches for visual broadcast augmentation and understanding, for statistical analysis and evaluation, and for sensor fusion during workouts as well as competitions. There is a lack of research communities focusing on the fusion of multiple modalities. We are helping to close this research gap with this workshop series on multimedia content analysis in sports. Related Workshop Proceedings are available in the ACM DL at: https://dl.acm.org/doi/proceedings/10.1145/3552437. © 2022 Owner/Author.

Post-COVID-19 strategic sourcing decisions for escorting stakeholders' expectations and supplier performance in construction project works

PurposeThe occurrence of COVID-19 has impacted the wide-reaching dimensions of manufacturing, materials, procurement, management, etc., and has loaded disruptions in the wide range of supply chain (SC) activities. The impact of COVID-19 has twisted supplier performance and influenced stakeholders' thinking towards selecting supplier sources and making strategic sourcing decision for convinced arrangement of construction management (CM) resources. Nowadays, suppliers are intently evaluated by stakeholders in post-COVID-19 phase to induce agile availability of CM resources. Accordingly, this paper aims to demonstrate competent CM dimensions under post COVID-19 scenario for ease managing construction projects by the stakeholders.Design/methodology/approachThe authors have implicated Grey Sets Theory along with decision-making trial and evaluation laboratory (DEMATEL) technique for understanding significant outcomes. Varieties of diverse decision aspects responsible for strategically influencing supplier sourcing decision is projected under post COVID-19 scenario for handling construction projects by the stakeholders.FindingsThis study investigated sustainable construction management dimensions (SCMD) at the stage of resource deliveries and client aspirations under post COVID-19 situation. The study demonstrated "Lead time” as the most crucial, "Product Range” as the second and "Customers dealings and relationship” as the third crucial aspect considering by the stakeholders for selecting supplier sources based on the attainment of performance score of 0.1338, 0.1273 and 0.1268, respectively. It is found that high lead time stimulates the stakeholders to divert their orders to other competent supplier sources holding a low degree of lead time as compared.Research limitations/implicationsThe present study rollovers its existence by serving critical thinking, conceptual modelling, criteria identification and evaluation under CM domain for drafting effectual strategies by the suppliers. The study investigated the impact of COVID-19 on stakeholders' decision-making and enlisted SCMD that strategically stimulated them in choosing supplier sourcing decision.Originality/valueThe present study realizes the insights of stakeholders in the post COVID-19 scenario related to the supplier sources based on performance score. The study quantified sustainable supplier attribute for construction work and practices. The study analysed the expectations of the stakeholders purchasing different varieties of construction materials from supplier sources for civil works in the post COVID-19 scenario.

SAFER framework for moving forward on the medical device right to repair

Across various industries, the right to repair (RTR) movement has gained momentum as more than 20 states have proposed RTR laws to expand access to repair of consumer products. Medical device equipment shortages during the COVID-19 pandemic demonstrated that stronger repair mechanisms are necessary for the US health system to become more efficient, affordable and sustainable. We propose a 5-point SAFER framework including safety and security, adaptability, fiscal, environmental and regulatory factors for consideration in implementing medical device RTR. The healthcare community can help advance RTR legislation in a manner that serves our patients and healthcare system best.Copyright © 2023 BMJ Publishing Group. All rights reserved.

Molnupiravir provides little benefit in vaccinated adults with COVID-19.

Overview of: Butler CC, Hobbs FDR, Gbinigie OA, et al Molnupiravir plus usual care versus usual care alone as early treatment for adults with COVID-19 at increased risk of adverse outcomes (PANORAMIC): an open-label, platform-adaptive randomised controlled trial. Lancet 2023;401:281-93.

The migration from forced remote work to hybrid work and its impacts on software quality: The case of a multinational company

Context: many tech companies have had to adapt their software development processes to the reality of forced remote work due to COVID-19. Later, many of these companies transitioned to hybrid work, interspersing remote work with face-to-face work. Goal: this article aims to understand the challenges and impacts of this transition to software quality and to create hybrid software development teams. Method: an empirical study was carried out in the technology department of a Brazilian multinational company, using a multivocal literature review combined with a field study with semi-structured interviews and discursive textual analysis. Results: this study identified three main dimensions of the impact of the transition from remote to hybrid model: people, processes, and organization. In each of them, specific items were identified and will be detailed in this article. Conclusions: permanent or hybrid remote work models have enormous challenges and require studies in the specific scenarios of each company. It is necessary to understand these challenges to propose solutions that simultaneously facilitate the work of teams and guarantee the quality of the projects. © 2022 ACM.

School's Out? Simulating Schooling Strategies During COVID-19

Multi-agent based systems offer the possibility to examine the effects of policies down to specific target groups while also considering the effects on a population-level scale. To examine the impact of different schooling strategies, an agent-based model is used in the context of the COVID-19 pandemic using a German city as an example. The simulation experiments show that reducing the class size by rotating weekly between in-person classes and online schooling is effective at preventing infections while driving up the detection rate among children through testing during weeks of in-person attendance. While open schools lead to higher infection rates, a surprising result of this study is that school rotation is almost as effective at lowering infections among both the student population and the general population as closing schools. Due to the continued testing of attending students, the overall infections in the general population are even lower in a school rotation scenario, showcasing the potential for emergent behaviors in agent-based models. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

A study on usability and design parameters in face mask: Concept design of UVW face mask for COVID-19 protection.

The aim of this study is to investigate the usability of conventional masks to prevent the transmission of coronavirus 2019 (COVID-19) and subsequently design the proposed concept of the mask to reduce leakage and increase efficiency. Acute respiratory syndrome COVID-19 is spreading around the world and can be transmitted from one person with COVID-19 to another through personal contact and breathing. Improper design of current masks can lead to virus transmission. One hundred fifteen users participated in the study using a simple random sampling method in which N95-FFP2 face mask and surgery face mask usability tests were chosen as the most widely used face masks in Iranian people with an online usability questionnaire. Data were analyzed by SPSS. The results showed that the usability of the N95-FFP2 face mask with a total average of 4.46 and a surgical mask with a total average of 3.35 cannot be considered acceptable. Anthropometric and formal changes in people's faces and improper design of the face masks used make it necessary to review the mask redesign measures to increase the prevention of pathogens. In this study, new parameters for face mask design are proposed. Thirty different types of jaws have been considered with the help of CorelDRAW software, along with ideas for optimal mask design with UVW mask concept to be accessed by manufacturers around the world.

Key Factors for Enhancing Home Care Workers' Intention to Stay by Multiple-Criteria Decision Analysis.

The ageing population is increasing rapidly in Taiwan, where the ageing rate exceeds even that of Japan, the United States and France. The increase in the disabled population and the impact of the COVID-19 pandemic have resulted in an increase in the demand for long-term professional care, and the shortage of home care workers is one of the most important issues in the development of such care. This study explores the key factors that promote the retention of home care workers through multiple-criteria decision making (MCDM) to help managers of long-term care institutions retain home care talent. A hybrid model of multiple-criteria decision analysis (MCDA) combining Decision-Making Trial and Evaluation Laboratory (DEMATEL) and the analytic network process (ANP) was employed for relative analysis. Through literature discussion and interviews with experts, all factors that promote the retention and desire of home care workers were collected, and a hierarchical MCDM structure was constructed. Then, the hybrid MCDM model of DEMATEL and the ANP was used to analyze the questionnaire data of seven experts to evaluate the factor weights. According to the study results, the key direct factors are improving job satisfaction, supervisor leadership ability and respect, while salary and benefits are the indirect factor. This study uses the MCDA research method and establishes a framework by analyzing the facets and criteria of different factors to promote the retention of home care workers. The results will enable institutions to formulate relevant approaches to the key factors that promote the retention of domestic service personnel and to strengthen the intention of Taiwan's home care workers to stay in the long-term care industry.

Decision makers perceptions and experiences of developing population-level interventions targeting risk factors for hypertension and diabetes in South Africa: a qualitative study.

BACKGROUND: People in low- and middle-income countries are disproportionately affected by Noncommunicable diseases (NCDs). NCD's such as heart disease, cancer, chronic respiratory disease, and diabetes, are the leading cause of premature death worldwide and represent an emerging global health threat. The purpose of this qualitative study was to explore decision makers perceptions of developing population-level interventions (policies and programmes), targeting risk factors for hypertension and diabetes, in South Africa. METHODS: Using purposive sampling we recruited fifteen participants, who were well informed about the policies, programs or supportive environment for prevention and management of diabetes and hypertension in South Africa. We conducted 12 individual interviews and 1 group interview (consisting of 3 participants). Data was analysed thematically in NVivo. The results were shared and discussed in two consultative stakeholder workshops, with participants, as part of a member validation process in qualitative research. All communication with participants was done virtually using MS Teams or ZOOM. RESULTS: For development of population-level interventions, key enablers included, stakeholders' engagement and collaboration, contextualization of policies and programs, and evaluation and organic growth. Challenges for supportive policy and program formulation, and to enable supportive environments, included the lack of time and resources, lack of consultation with stakeholders, regulations and competing priorities, and ineffective monitoring and evaluation. The main drivers of population-level interventions for diabetes and hypertension were perceived as the current contextual realities, costs, organizational reasons, and communication between various stakeholders. CONCLUSION: To address the risk factors for hypertension and diabetes in South Africa, policies and programs must account for the needs of the public and the historical and socio-economic climate. Feasibility and sustainability of programs can only be ensured when the resources are provided, and environments enabled to promote behavior change on a population-level. A holistic public health approach, which is contextually relevant, and evidence informed, is considered best practice in the formulation of population-level interventions.

Lessons from the implementation of a trauma center-based program to support primary care providers in managing opioids and pain after trauma hospitalization.

Background: Decreasing exposure to prescription opioids is critical to lowering risk of opioid misuse, overdose and opioid use disorder. This study reports a secondary analysis of a randomized controlled trial implementing an opioid taper support program directed to primary care providers (PCPs) of patients discharged from a level I trauma center to their homes distant from the center, and shares lessons for trauma centers in supporting these patients. Methods: This longitudinal descriptive mixed-methods study uses quantitative/qualitative data from trial intervention arm patients to examine implementation challenges and outcomes: adoption, acceptability, appropriateness, feasibility, fidelity. In the intervention, a physician assistant (PA) contacted patients after discharge to review their discharge instructions and pain management plan, confirm their PCP's identity and encourage PCP follow-up. The PA reached out to the PCP to review the discharge instructions and offer ongoing opioid taper and pain management support. Results: The PA reached 32 of 37 patients randomized to the program. Of these 32, 81% discussed topics not targeted by the intervention (eg, social/financial). The PA identified and reached a PCP's office for only 51% of patients. Of these, all PCP offices (100% adoption) received one to four consults (mean 1.9) per patient (fidelity). Few consults were with PCPs (22%); most were with medical assistants (56%) or nurses (22%). The PA reported that it was not routinely clear to patients or PCPs who was responsible for post-trauma care and opioid taper, and what the taper instructions were. Conclusions: This level I trauma center successfully implemented a telephonic opioid taper support program during COVID-19 but adapted the program to allow nurses and medical assistants to receive it. This study demonstrates a critical need to improve care transition from hospitalization to home for patients discharged after trauma. Level of evidence: Level IV.

A Fuzzy Hybrid MCDM Approach for Assessing the Emergency Department Performance during the COVID-19 Outbreak.

The use of emergency departments (EDs) has increased during the COVID-19 outbreak, thereby evidencing the key role of these units in the overall response of healthcare systems to the current pandemic scenario. Nevertheless, several disruptions have emerged in the practical scenario including low throughput, overcrowding, and extended waiting times. Therefore, there is a need to develop strategies for upgrading the response of these units against the current pandemic. Given the above, this paper presents a hybrid fuzzy multicriteria decision-making model (MCDM) to evaluate the performance of EDs and create focused improvement interventions. First, the intuitionistic fuzzy analytic hierarchy process (IF-AHP) technique is used to estimate the relative priorities of criteria and sub-criteria considering uncertainty. Then, the intuitionistic fuzzy decision making trial and evaluation laboratory (IF-DEMATEL) is employed to calculate the interdependence and feedback between criteria and sub-criteria under uncertainty, Finally, the combined compromise solution (CoCoSo) is implemented to rank the EDs and detect their weaknesses to device suitable improvement plans. The aforementioned methodology was validated in three emergency centers in Turkey. The results revealed that the most important criterion in ED performance was ER facilities (14.4%), while Procedures and protocols evidenced the highest positive D + R value (18.239) among the dispatchers and is therefore deemed as the main generator within the performance network.

Blockchain technology and vaccine supply chain: Exploration and analysis of the adoption barriers in the Indian context

The vaccine distribution system, being a bio-pharmaceutical cold chain, is a complicated and sensitive system that must be effectively managed and maintained due to its direct impact on public health. However, vaccine supply chains continue to be affected by concerns, including vaccine expiry, inclusion of counterfeit vaccines, and vaccine record fraud. The blockchain technology integrated with the Internet of Things (IoT) can create a solution for global vaccine distributions with improved trust, transparency, traceability, and data management, which will help monitor the cold chain, tackle counterfeit drugs, surveillance, and waste management. Several theoretical models for vaccine management with blockchain have recently been published, and a few pilot studies for COVID-19 vaccine management using blockchain have been started in India. Still, full-scale adoption of blockchain technology in vaccine distribution and management has yet to be achieved due to underlying barriers. This study explores the adoption barriers utilizing Technology-Organization-Environment (TOE) framework with the help of extant literature and inputs from administrators, academics, immunization, and blockchain experts and then analyzed using the Delphi and fuzzy Decision-Making Trial and Evaluation Laboratory (DEMATEL) techniques. The finding shows that the requirement of change in organizational structure and policies is the most prominent barrier, and the barrier related to requirement of large-scale IoT infrastructure and lack of technical expertise are the most impactful barriers. The theoretical contribution of this study lies in the identification and analysis of barriers that should be addressed to achieve blockchain technology adoption in the vaccine supply chain. © 2022 Elsevier B.V.