Replies to commentaries on IDC Theory in practice

We thank the seven scholars who have provided commentaries to our paper on the Interest-Driven Creator (IDC) experimental school in Taiwan. We provide replies to their commentaries in the interest of continuing the productive discussions that we hope to see in the further pursuance and refinement of the IDC theories. We also use the opportunity here to provide replies to the commentaries written by Dillenbourg et al. (2019) and Roschelle and Burke (2019), specifically written for the original IDC paper (Chan et al., 2018). © The Author(s). 2023.

An Eventful Rotational Atherectomy Over the Left Main Stem and Left Anterior Descending Artery in an Elderly Male

Clinical Information Patient Initials or Identifier Number: SHS Relevant Clinical History and Physical Exam: Mr. SHS was admitted in August 2022 for acute decompensated heart failure secondary to NSTEMI, complicated with ventricular tachycardia (VT). CPR was performed for6 minutes on the day of admission and was subsequently transferred to the Cardiac Care Unit. His hospital stay was complicated with Covid-19 infection(category 2b) which he recovered well from. During admission, he developed recurrent episodes of angina. Physical examination was otherwise unremarkable. His ejection fraction was 45%. Relevant Catheterization Findings: Cardiac catheterization was performed, which revealed significant calcification of left and right coronary arteries. There was a left main stem bifurcation lesion (Medina 0,1,1) with subtotal occlusion over ostial the LAD, receiving collaterals from RCA and 90% stenosis over ostial LCx. RCA was dominant, heavily calcified with no significant stenosis. He was counselled for CABG (Syntex score26) but refused. As he was symptomatic, he was planned for PCI to the left coronary system. [Formula presented] [Formula presented] [Formula presented] Interventional Management Procedural Step: The left main was engaged with a 7F EBU 3.5guiding catheter via transradial approach. Sion Blue wired into LAD and LCx. IVUS catheter couldn't cross the LAD and LCx lesions, hence we decided for up front rotational atherectomy. Sion blue was exchanged to Rotawire with the assistance of Finecross microcatheter. A 1.5mm burr was used at 180000 rpm. After the first run of rotablation, patient developed chest pain and severe hypotension (BP ranging 50/30). 4 inotropes/vasopressors were commenced. The shock was refractory hence an intraarterial balloon pump was inserted. Symptoms and blood pressure improved. Another 2 runs of atherectomy done (patient developed hypotension after each run). IVUS examination then showed calcification of proximal to mid LAD with an IVUS Calcium score of 3. LAD was further predilated with Scoreflex balloon 3.0/20mm at 8-22ATM. LCx was predilated with Scoreflex balloon 2.0/15mm at 12-14ATM. DCB Sequent Please NEO2.0/30mm was deployed at 7ATM at ostial to proximal LCx. Proximal to mid LAD was stented with Promus ELITE 2.5/32mm at 11ATM, which was then post dilated with stent balloon at 11ATM. Ostial LM to proximal LAD (overlap) was stented with Promus ELITE 4.0/28mm at 11ATM. LMS POT was then done with NC Balloon 4.0/15mm at 24ATM. LCx was rewired and kissing balloon technique with NC balloon 4.0/15mm at 14ATM (LAD) and NC balloon 2.0/10mm at 12ATM (LCx) was done, followed by a final POT with NC balloon 4.0/15mm at 14ATM. Final IVUS showed good MSA. [Formula presented] [Formula presented] [Formula presented] Conclusion(s): This patient developed hemodynamic instability with each rotational atherectomy run, hence we decided not to perform rotablation to the circumflex artery. His hemodynamic condition improved with the use of intra aortic balloon pump. IABP use can reduce procedural event rate and potentially reduce long term mortality in appropriately selected patients who are at high risk of adverse events. He was followed up a month following the procedure and remained asymptomatic. For complex, calcified coronary lesions involving the left main stem, coronary artery bypass graft surgery is an alternative option.Copyright © 2023

How do Three-layer Surgical Masks Prevent SARS-CoV-2 Aerosol Transmission?

Graphical The three-layer surgical mask was recognized by the World Health Organization as an effective-protection tool for reducing SARS-CoV-2 transmission during the COVID-19 pandemic;however, the contribution of each layer of this mask to the particle size–dependent filtration performance resistance remains unclear. Here, both experimental work and numerical simulation were conducted to study the role of each mask layer in particle size–dependent filtration and respiratory resistance. By using scanning electron microscopy images of a commercial three-layer mask, composed of two spun-bond and one melt-blown nonwoven polypropylene fabric layers, four representative models were constructed, in which the computational fluid dynamics of multiphase flow were performed. The pressure drop of all models under different flow conditions was measured next. Numerical simulation was then verified by comparing the experimental results in the present study and other theoretical works. The filtration efficiency of the spun-bond polypropylene nonwoven fabric layer was much lower than that of the melt-blown nonwoven polypropylene fabric layer for the particle diameter in the range of 0.1–2.0 μm. Both the spun-bond and melt-blown nonwoven polypropylene fabric layers demonstrated extremely low filtration efficiency for particles was less than 0.3 μm in diameter, with the maximum filtration efficiency being only 30%. The present results may facilitate rational design of mask products in terms of layer number and structural design.

Online Conversations for Equity, Action, and Networking: A Pilot Project Highlighting Diversity in the Ocean Sciences

The onset of the COVID-19 pandemic and the Black Lives Matter movement urged institutions to redress shortcomings in their diversity, equity, and inclusion goals and initiatives. The School for the Environment (SFE) at the University of Massachusetts Boston (UMass Boston), a public research minority serving university in the United States of America, responded to this call through launching the Online Conversations for Equity, Action, and Networking (OCEAN) program. This pilot project funded by Woods Hole Sea Grant aimed to amplify the voices of Black, Indigenous, and People of Color (BIPOC) in the marine sciences. A collective of SFE undergraduate and graduate students hosted virtual department seminars, undergraduate meet and greets, and podcast interviews for invited BIPOC speakers. Pre- and post-surveys were developed to evaluate the efficacy and reach of the OCEAN programming and the results indicate that the program had an overall positive effect on the UMass Boston community. Ultimately, the OCEAN program provides an example for launching and evaluating virtual BIPOC science engagement and outreach initiatives. © 2023 Association for the Sciences of Limnology and Oceangraphy.

Comparing the performance between static and dynamic populations in COVID-19 hotspot prediction

Objectives: This study aimed to set up the prediction model of COVID-19 hotspot areas by using the census data and human mobility from telecommunication data in Taipei and New Taipei City. The comparison between their accuracy and limitations can provide the relevant insights for future epidemic control. Methods: The spatio-temporal resolution is fixed at the village level in two cities in May 2021. The static and dynamic data are used to construct the mobility network. The former applies gravity model to mimic human flow, and the latter uses telecommunication data as the measure of mobility. We propose the footprints similarity by structural equivalence of spatial networks and integrate it with the number of confirmed cases for computing the risk level of the villages. The performance of the models is evaluated using ROC curves and logistic regression under different thresholds for the confirmed cases. Results: The mobility derived from the telecommunication data provided better prediction performance than that from the census data;they have an average AUC of 0.75 and 0.69, respectively. Besides, the telecommunication data had a tendency to identify a further village as high-risk zone compared to the gravity model. According to the results of logistic regression, the odds ratio (OR) of exceeding the cases' threshold estimated from the telecommunication data is 1.45 on average, while the one estimated from the census data is 1.10. Conclusions: Telecommunication data can be beneficial in identifying the potential high-risk areas and enhancing situational awareness in advance. © 2022, Taiwan Public Health Association. All rights reserved.

P12 Commissioning for Quality and Innovation (CQUIN) schemes—revisiting urinary tract infection (UTI) management. What worked? What lasted? What next?

Background: UK CQUIN schemes encourage an improvement focus on a specific area of care. In 2019, CQUIN CCG1a: Improving the management of lower UTI in older people1 was adopted at the RUH resulting in increased alignment with UK guidance on diagnosis and treatment.2 Our aim was to investigate whether this improvement was sustained two years later. This would help inform quality improvement interventions prior to adoption of the 2022 CQUIN, CCG2: Appropriate antibiotic prescribing for UTI in adults aged 16+.3 Objectives: Service evaluation of the UTI pathway including compliance with two of the CQUIN care processes for UTI diagnosis in patients age 65+ presenting to ED (not admitted): (i) diagnosis excludes use of urine dipstick in people aged 65+;and (ii) urine sample sent to microbiology as per UK guidance.2 Methods: A search of the electronic patient record for key terms (Table 1) identified 6076 ED attendances for patients age 65+ between 1 August and 31 October 2021 of which 40 were identified with a primary diagnosis of UTI not requiring hospital admission. Paramedic, ED and Urgent Treatment Centre notes (paper and electronic) were reviewed in detail and information gathered regarding presence/absence of UTI symptoms aligned to diagnostic guidelines;2 presence/absence of urine dipstick test;and presence/absence of urine sample for culture and susceptibility testing. Findings were compared with identical trust data for patients (admitted and non-admitted) obtained during the 2019 CQUIN: Q1 April–June;Q2 July–September;Q3 October–December. During this period improvement interventions were implemented. Results: See Table 2. Conclusions: Following intensive staff education improved practice regarding urine dipstick testing and appropriate urine sampling in elderly patients with possible UTI was observed during the 2019 CQUIN period. Two years later this improvement had not been sustained. When planning interventions during the 2022 CQUIN,3 consideration should be given to a bundle of interventions including education, data feedback and systems improvement, for example, computerized decision support systems (CDSS) to embed sustained change.Table 1.Key terms used to search electronic patient record when identifying eligible patientsSearch termsSearch fieldsUrin, UTI, pyelonephritis, cystitis, urosepsis, CAUTI, AKI, Acute Kidney Injury, Flank painReason for visit, Chief Complaint, Presenting Complaint, ECDSTable 2.Percentage compliance with CQUIN care processes for UTI diagnosis in patients age 65+Data collection periodNo. of patientsPatients with urine dipstick, % (target 0%)Patients with documented symptoms and urine sample, % (target 100%)Patients with no documented symptoms and urine sample, % (target 0%)Urine sampling decision aligned with UK guideline,2%2019 CQUIN Q1100208995722019 CQUIN Q210039379832019 CQUIN Q31006936090COVID pandemicȃPre 2022 CQUIN4068604758

COVID-19 Pandemic and the Malaysian Tourism

This chapter analyses the impacts of the coronavirus pandemic on the Malaysian tourism industry. The discussion starts with general development of global tourism, followed by the drastic changes in Malaysian tourism and the economic conditions before and during the pandemic. With support of updated statistics, this chapter further presents the disastrous strikes on domestic tourism value chain, hotel lines, and the aviation industry. The relevant policy responses and post-pandemic tourism recovery are also discussed for better understanding of the vulnerable ecosystem. This chapter concludes that the recovery is progressive along UNWTO's Scenario 1 (before or by 2023) but subjected to domestic policy efficacy and global responses, especially the availability and affordability of vaccines. This chapter recommends proactive short-term policy initiatives in preparing the sector and its value chain to be COVID secure, and then launching marketing campaigns. For long-term strategic planning, the government should look into initiating and building capacity of digitalisation in the sector. © 2022 by World Scientific Publishing Co. Pte. Ltd.

Assessing research collaboration networks and social media use among venous thromboembolism researchers during the COVID-19 pandemic

Background: The ways in which research collaborations are formed and strengthened have evolved during the COVID-19 pandemic due to restrictions limiting in-person meetings. Given the need to rapidly adapt to online communication, and to accelerate COVID-19 venous thromboembolism (VTE) research, social media has played an important role in all aspects of these interactions. Aim(s): (1) Assess the size and geographic breadth of VTE researchers' project collaborations before and during the early stages of the COVID-19 pandemic;(2) Characterize how social media platforms are used by VTE researchers. Method(s): An online survey about research collaborations and social media use was distributed in June 2020 to VTE researchers via Twitter, CanVECTOR (n = 59) and INVENT (n = 389) research network websites and email lists. Research collaboration data were analyzed using ego-centred social network analytic techniques to assess the size and composition of researchers' VTE-and COVID-related collaboration networks. Result(s): Over half of respondents (23/45, 51%) reported leading at least one collaborative VTE research project in the past 2 years, with 16 (36%) currently leading COVID-related VTE research. Eighteen (78%) respondents who led VTE research projects also contributed as a collaborator to VTE research projects over the past 2 years, with 17 (74%) contributing to COVID-related VTE research. Research in the VTE field is inter-institutional and international, but early COVID-related collaborations tended to be more local (Table 1). Social media platforms were used primarily by VTE researchers to collect and disseminate COVID-19 VTE research information. Conclusion(s): Research in the VTE field is inter-institutional and international, but early COVID-related VTE research collaborations tended to be more local. Social media platforms may be useful in strengthening international collaborations between VTE researchers with similar interests. (Table Presented).

Assessment of COVID-19 aerosol transmission in a university campus food environment a numerical method

With the prevalence of COVID-19, the phenomenon of viruses spreading through aerosols has become a focus of attention. Diners in university dining halls have a high risk of exposure to respiratory droplets from others without the protection of face masks, which greatly increases the risk of COVID-19 transmis-sion. Therefore, the transmission mechanism of respiratory droplets in extremely crowded dining envi-ronments should be investigated. In this study, a numerical simulation of coughing at dining tables under two conditions was performed, namely the presence and absence of protective partitions, and the evaporation and condensation of aerosol droplets in the air were examined. By using the numerical method, we analyzed and verified the isolation effect of dining table partitions in the propagation of aero-sol droplets. The effect of changes in room temperature on the diffusion of coughed aerosols when par-titions were present was analyzed. We demonstrated how respiratory droplets spread through coughing and how these droplets affect others. Finally, we proposed a design for a dining table partition that min-imizes the transmission of COVID-19.(c) 2021 China University of Geosciences (Beijing) and Peking University. Production and hosting by

LIBKDV: A Versatile Kernel Density Visualization Library for Geospatial Analytics

Kernel density visualization (KDV) has been widely used in many geospatial analysis tasks, including traffic accident hotspot detection, crime hotspot detection, and disease outbreak detection. Although KDV can be supported by many scientific, geographical, and visualization software tools, none of these tools can support high-resolution KDV with large-scale datasets. Therefore, we develop the first versatile programming library, called LIBKDV, based on the set of our complexity-optimized algorithms. Given the high efficiency of these algorithms, LIBKDV not only accelerates the KDV computation but also enriches KDV-based geospatial analytics, including bandwidth-tuning analysis and spatiotemporal analysis, which cannot be natively and feasibly supported by existing software tools. In this demonstration, participants will be invited to use our programming library to explore interesting hotspot patterns on large-scale traffic accident, crime, and COVID-19 datasets. © 2022, VLDB Endowment. All rights reserved.

IMPACT OF COVID-19 ON THE CLINICAL OUTCOMES AND MANAGEMENT OF IGG4 RELATED DISEASE PATIENTS WITH PANCREATOBILIARY INVOLVEMENT: A MULTICENTER RETROSPECTIVE STUDY

Background: Coronavirus disease 2019 (COVID-19) has affected more than 249 million people worldwide as of November 2021. Patients with chronic immune-mediated inflammatory diseases are at risk of viral infections either related to their underlying immune dysfunction or the immunosuppressive therapy, but little is known about the impact of COVID19 on outcomes and management of pancreatobiliary IgG4 related disease (IgG4 RD) patients. Methods: This was a multicenter retrospective cohort study aiming to investigate the impact of COVID-19 on the clinical outcomes and management of pancreatobiliary IgG4 RD patients in different geographic areas with COVID-19 outbreak. Pancreatobiliary IgG4 RD patients aged 18 years or older from 7 referral centers in Hong Kong, Japan, Thailand, Singapore, the United States and Italy were included. Case definition of IgG4 RD: elevated serum IgG4 serology with typical features of pancreatobiliary involvement on imaging, EUS, ERCP and/ or typical histopathologic features of IgG4 RD. Medical records were reviewed for IgG4 RD status (organ involvement, disease activity, treatment status), COVID-19 infection and outcome. Outcome measures were incidence and severity of COVID-19 in pancreatobiliary IgG4 RD patients, medical treatment for the IgG4 disease during COVID-19 and incidence of postponement or discontinuation of indicated medical treatment for IgG4 RD during COVID-19. Results: 101 pancreatobiliary IgG4 RD patients (mean age 66.4 +/- 12.1 years, male 74.3%) from 7 referral centers were included from January 2020 to November 2020. Major comorbidities of patients: none in 21.8%, diabetes in 45.5%, hypertension in 49.5%, ischemic heart disease in 8.9%, chronic liver disease in 8.9%, chronic kidney disease in 9.9% and cancer in 5.0% of patients. IgG4 RD organ involvement: pancreas only in 36.6%, pancreas and bile duct in 16.8%, bile duct only in 14.9%, pancreatobiliary and other organs in 26.7% of patients. The mean serum IgG4 serology level was 4.72+/-7.31 g/L. In 2020, 27.7% of patients had active IgG4 disease while 72.3% of patients were in remission. In 2020, 65.3% of patients received treatment (steroid in 48.5%, thiopurines in 22.7%, steroid and thiopurines in 25.8%, rituximab in 1.5%), while 30.7% of patients were not on treatment. 2 patients (2.0%) had COVID-19 infection, with 1 patient requiring ICU admission. All infected patients recovered from COVID-19 without flare up of IgG4 RD. In 2020, 6.9% of patients had postponement or discontinuation of indicated medical treatment for IgG4 RD during COVID-19 outbreak due to concern of COVID-19 infection while on immunosuppressive therapy. Conclusion: In this study, low incidence of COVID-19 infection and low rates of postponement or discontinuation of indicated medical treatment were observed in pancreatobiliary IgG4 RD patients during COVID-19 outbreak in 2020. (Table Presented)

Simulation training on donning personal protective equipment and performing cardiopulmonary resuscitation for nurses in a geriatric step-down hospital during COVID-19

Background. Donning personal protective equipment (PPE) and performing cardiopulmonary resuscitation (CPR) are stressful tasks for healthcare professionals, particularly during the COVID-19 pandemic. This study aimed to assess the effectiveness of simulation training on donning PPE and performing CPR with PPE put on for nurses at a geriatric step-down hospital. Methods. A lecture and simulation training on donning PPE and performing CPR were provided for nurses. Confidence in donning PPE and performing CPR, knowledge of CPR, and satisfaction of participants were assessed before training (baseline), after the lecture, and after the simulation training. Results. 50 nurses (33 women and 17 men) attended both the lecture and simulation training, accounting for 90% of nurses in the department. Self-rated confidence in donning PPE and performing CPR improved significantly after the lecture (both p<0.001) and again after the simulation training (both p<0.001). Knowledge of CPR improved significantly after the lecture (p<0.001). Self-rated satisfaction of participants was high (9.3±0.3). Conclusion. Simulation training on donning PPE and performing CPR with PPE put on significantly improves the knowledge and confidence of nurses in a geriatric step-down hospital. This may contribute to improved patient outcomes, particularly during the COVID-19 pandemic. © 2022 The Hong Kong Geriatrics Society and Hong Kong Association of Gerontology.

KDV-Explorer: A Near Real-Time Kernel Density Visualization System for Spatial Analysis

Kernel density visualization (KDV) is a commonly used visualization tool for many spatial analysis tasks, including disease outbreak detection, crime hotspot detection, and traffic accident hotspot detection. Although the most popular geographical information systems, e.g., QGIS, and ArcGIS, can also support this operation, these solutions are not scalable to generate a single KDV for datasets with million-scale data points, let alone to support exploratory operations (e.g., zoom in, zoom out, and panning operations) with KDV in near real-time (< 5 sec). In this demonstration, we develop a near real-time visualization system, called KDV-Explorer, that is built on top of our prior study on the efficient kernel density computation. Participants will be invited to conduct some kernel density analysis on three large-scale datasets (up to 1.3 million data points), including the traffic accident dataset, crime dataset and COVID-19 dataset. We will also compare the performance of our solution and the solutions in QGIS and ArcGIS.

Assessment of COVID-19 aerosol transmission in a university campus food environment using a numerical method

Graphical With the prevalence of COVID-19, the phenomenon of viruses spreading through aerosols has become a focus of attention. Diners in university dining halls have a high risk of exposure to respiratory droplets from others without the protection of face masks, which greatly increases the risk of COVID-19 transmission. Therefore, the transmission mechanism of respiratory droplets in extremely crowded dining environments should be investigated. In this study, a numerical simulation of coughing at dining tables under two conditions was performed, namely the presence and absence of protective partitions, and the evaporation and condensation of aerosol droplets in the air were examined. By using the numerical method, we analyzed and verified the isolation effect of dining table partitions in the propagation of aerosol droplets. The effect of changes in room temperature on the diffusion of coughed aerosols when partitions were present was analyzed. We demonstrated how respiratory droplets spread through coughing and how these droplets affect others. Finally, we proposed a design for a dining table partition that minimizes the transmission of COVID-19.

[SARS-CoV-2 infections in cats, dogs, and other animal species: Findings on infection and data from Switzerland]. / SARS-CoV-2 Infektionen bei Katzen, Hunden und anderen Tieren: Erkenntnisse zur Infektion und Daten aus der Schweiz.

INTRODUCTION: The pandemic with the novel coronavirus (SARS-CoV-2) has led to infections and deaths worldwide. Apart from humans, certain animal species are susceptible to the viral infection. Spillover between humans and animals is favored by close contact; thus, surveillance of animals is an important component to fight the pandemic from a One Health perspective. The Clinical Laboratory of the Vetsuisse Faculty Zurich has been investigating SARS-CoV-2 infections in animals since the beginning of the pandemic. In November 2020, the first SARS-CoV-2 positive Swiss cat was reported to the World Organisation for Animal Health (OIE-WAHIS). The cat showed respiratory signs and lived in a COVID-19 affected household. By now, over 500 natural SARS-CoV-2 infections have been recorded in animals worldwide. A prevalence study on SARS-CoV-2 infections in dogs and cats was carried out together with clinics from Germany and Italy during the first wave of the pandemic (March-July 2020). Among the tested 1137 animals, only one cat and one dog were positive. The prevalence of infection in dogs and cats presented to veterinary clinics was low, even in pandemic hotspot regions. However, recent studies that focused on animals in COVID-19 households found a higher prevalence of infection. A study is currently underway that specifically collects samples from pets from Swiss COVID-19 affected household and collects data on human-animal interaction.

INTRODUCTION: La pandémie à nouveau coronavirus (SARS-CoV-2) a entraîné des infections et des décès dans le monde entier. En dehors de l'homme, certaines espèces animales sont sensibles à cette infection virale. Le passage entre les humains et les animaux est favorisé par un contact étroit, la surveillance des animaux est donc un élément important pour lutter contre la pandémie dans une perspective One Health. Depuis le début de la pandémie, le laboratoire clinique de la faculté Vetsuisse de Zurich étudie les infections par le SRAS-CoV-2 chez les animaux. En novembre 2020, le premier chat suisse positif au SARS-CoV-2 a été signalé à l'Organisation mondiale de la santé animale (OIE-WAHIS). Le chat a montré des signes respiratoires et vivait dans un ménage touché par le COVID-19. À l'heure actuelle, plus de 500 infections naturelles au SRAS-CoV-2 ont été enregistrées chez des animaux dans le monde. Une étude de prévalence sur les infections par le SRAS-CoV-2 chez les chiens et les chats a été réalisée avec des cliniques d'Allemagne et d'Italie pendant la première vague de la pandémie (mars-juillet 2020). Parmi les 1137 animaux testés, seuls un chat et un chien étaient positifs. La prévalence de l'infection chez les chiens et les chats présentés aux cliniques vétérinaires était faible, même dans les régions fortement touchées par la pandémie. Cependant des études récentes, qui se sont concentrées sur les animaux dans les ménages COVID-19, ont révélé une prévalence d'infection plus élevée. Une étude est actuellement en cours qui collecte spécifiquement des échantillons d'animaux de compagnie des ménages suisses touchés par le COVID-19 et enregistre des données sur l'interaction homme-animal.

An Infrared Thermography Model Enabling Remote Body Temperature Screening Up to 10 Meters

During the COVID-19 pandemic, temperature screening has emerged as a common practice in the infection control pipeline. In particular, thermal imaging systems have risen in popularity for preliminary screening of individuals with elevated temperatures, especially in high throughput areas. However, remote temperature measurement is intrinsically complex and susceptible to unavoidable influences from the measuring environment. We study the effects of sensor-subject distance on remote temperature readings and present an infrared-based system for rapid temperature screening over long distances (2 m to 10 m). The system applies a state-of-the-art pose estimation algorithm to extract the face box locations, sensor-subject distances, and facial temperatures within a scene. For the use of infrared thermography in humans, we propose a thermal compensation model to correct the temperature of subjects measured at different distances and perform analyses to evaluate the trade-off between missing rate (elevated temperature does not trigger an alarm) and false alarm rate (normal temperature triggers an alarm). The experimental results show our system's promise to identify subjects with elevated temperatures and the potential to improve temperature screening protocols in different environments.

Building resilient supply chains for construction small and medium sized enterprises

Along with global economic growth and the prevalence of global trade, uncertain and turbulent markets can lead to construction supply chain vulnerabilities and disruptions. Within this environment, small and medium enterprises (SMEs) in the construction industry are booming, despite being considered one of the most vulnerable sectors in the economy. Therefore, construction SMEs need to implement fundamental changes and adopt agile methods of coping with supply chain uncertainties to withstand the effects of unpredicted events, such as the COVID-19 crisis. In Australia, SMEs account for more than 99% of all Australian enterprises and deliver up to 60% of the total value of the construction industry. This research aims to identify resilience factors to optimize the supply chains of the SMEs in construction industry. Through a systematic review of literature, this research firstly identifies the resilience factors under the general supply chain environment. Subsequently, it systematically identifies the resilience factors for construction supply chains and SMEs supply chains with an objective to characterise the similarities and difference in these factors. Finally, this research demonstrates and applied these resilience factors in a small Australian building company. This research will contribute to the body of literature of resilient supply chains and to qualitative and quantitative research into building of resilient supply chains in the construction sector SMEs. © 2021 Proceedings of the 37th Annual ARCOM Conference, ARCOM 2021. All Rights Reserved.

Factors influencing the intention to use mysejahtera application among malaysian citizens during covid-19

Many countries in the globe have experienced COVID-19 pandemic in the year 2020, and this has caused government to come out with various tracking applications to trace the individuals who get infected with the virus. However, with the implementation of the tracking application by the government, there always be issues related to the personal information and data privacy store in the system, which will make the citizens intent to use the technology or vice-versa. Hence, this study aims to examine the factors influencing the intention to use MySejahtera application among Malaysian citizens. The study utilized Unified Theory of Acceptance and Use of Technology (UTAUT2) Theory to guide the study, where the determinants were performance expectancy, effort expectancy, social influence, facilitating conditions, habit, and perceived privacy credibility. Purposive sampling was employed in this study, where a quantitative (survey) method was used, in which online questionnaires were distributed to the Malaysian citizens who know or have heard about the MySejahtera tracking application which ultimately with generated 401 valid responses. The data were then analysed using Partial Least Squares Structural Equation Modelling through Smart-PLS 3.0. The results revealed that four (4) determinants (social influence, facilitating conditions, habit, and perceived privacy credibility) have a positive and significant relationship with intention to use MySejahtera application. However, performance expectancy and effort expectancy were found not to be significantly related to intention to use the particular tracking application. The study contributes to the media information technology scholarship by incorporated perceived privacy credibility as an important construct to further expand the UTAUT2 Theory in relation to the Internet of Things (IoT), which provide relevant strategies for government agencies, medical and healthcare practitioners to track on the suspected patients. Conclusion, implications, and suggestions for future study were also discussed. © 2021 Journal of Applied Structural Equation Modeling.

COVID-19 and older adults: experience in Hong Kong

Coronavirus disease 2019 (COVID-19) disproportionately affects older people in Hong Kong. In Hong Kong, as of 17 July 2020, of the 10 recorded mortalities, seven involved patients aged >70 years. Social distancing as a strategy to limit the spread of COVID-19 has restricted the access to health and community services and has induced social isolation for older people. Hospital practice became less elderly friendly when infection control took priority over humanistic considerations. In 2004, The Hong Kong Geriatrics Society published a position statement on management of older patients with severe acute respiratory syndrome. Those guidelines were also followed during the current COVID-19 pandemic. Herein, we report our experience of caring for older people in Hong Kong during the COVID-19 pandemic, including the effect on older people of restricted access to health and community services, infection control measures in residential care homes for the elderly, treatment of older patients after admission to hospitals, end-of-life care, and the emergence of telecare.

OxCOVID19 Database, a multimodal data repository for better understanding the global impact of COVID-19

Oxford COVID-19 Database (OxCOVID19 Database) is a comprehensive source of information related to the COVID-19 pandemic. This relational database contains time-series data on epidemiology, government responses, mobility, weather and more across time and space for all countries at the national level, and for more than 50 countries at the regional level. It is curated from a variety of (wherever available) official sources. Its purpose is to facilitate the analysis of the spread of SARS-CoV-2 virus and to assess the effects of non-pharmaceutical interventions to reduce the impact of the pandemic. Our database is a freely available, daily updated tool that provides unified and granular information across geographical regions. Design type Data integration objective Measurement(s) Coronavirus infectious disease, viral epidemiology Technology type(s) Digital curation Factor types(s) Sample characteristic(s) Homo sapiens.