Showing papers by "University of Huddersfield published in 2020"

Infection and mortality of healthcare workers worldwide from COVID-19: a systematic review.

Abstract: Objectives To estimate COVID-19 infections and deaths in healthcare workers (HCWs) from a global perspective during the early phases of the pandemic. Design Systematic review. Methods Two parallel searches of academic bibliographic databases and grey literature were undertaken until 8 May 2020. Governments were also contacted for further information where possible. There were no restrictions on language, information sources used, publication status and types of sources of evidence. The AACODS checklist or the National Institutes of Health study quality assessment tools were used to appraise each source of evidence. Outcome measures Publication characteristics, country-specific data points, COVID-19-specific data, demographics of affected HCWs and public health measures employed. Results A total of 152 888 infections and 1413 deaths were reported. Infections were mainly in women (71.6%, n=14 058) and nurses (38.6%, n=10 706), but deaths were mainly in men (70.8%, n=550) and doctors (51.4%, n=525). Limited data suggested that general practitioners and mental health nurses were the highest risk specialities for deaths. There were 37.2 deaths reported per 100 infections for HCWs aged over 70 years. Europe had the highest absolute numbers of reported infections (119 628) and deaths (712), but the Eastern Mediterranean region had the highest number of reported deaths per 100 infections (5.7). Conclusions COVID-19 infections and deaths among HCWs follow that of the general population around the world. The reasons for gender and specialty differences require further exploration, as do the low rates reported in Africa and India. Although physicians working in certain specialities may be considered high risk due to exposure to oronasal secretions, the risk to other specialities must not be underestimated. Elderly HCWs may require assigning to less risky settings such as telemedicine or administrative positions. Our pragmatic approach provides general trends, and highlights the need for universal guidelines for testing and reporting of infections in HCWs. © Author(s) (or their employer(s)) 2020.

Mortality in COVID-19 patients with acute respiratory distress syndrome and corticosteroids use: a systematic review and meta-analysis.

Abstract: The acute respiratory distress syndrome (ARDS) secondary to viral pneumonitis is one of the main causes of high mortality in patients with COVID-19 (novel coronavirus disease 2019). We systematical...

A repeated cross-sectional survey assessing university students' stress, depression, anxiety, and suicidality in the early stages of the COVID-19 pandemic in Poland

Abstract: Background The time of widespread outbreaks of infectious diseases can lead to elevated stress and mental health problems among all persons affected, and in particular those sub-groups of the population that are at an increased risk of mental health problems. One such vulnerable group constitutes university students. The aim of this study is to assess stress, depression, anxiety, and suicidality among different groups of university students (medical, psychology, and other). Methods Using a repeated cross-sectional study design, we collected survey data among a large sample of 7228 university students from Poland (mean age = 22.78, s.d. = 4.40; 81% female). Data were collected in five waves, during the first 2 months of the COVID-19 pandemic in Europe (March and April 2020). Results The results demonstrate a significant increase in depression levels as the pandemic was progressing. We also found that female students scored significantly higher than male students on depression, anxiety, and stress. Psychology students recorded the lowest scores on depression and anxiety. Young adult students (aged 18-24 years) had more symptoms of depression, anxiety, and suicidality than adult students (⩾25 years). Conclusions These results provide insights into stress and mental health among university students during the early stages of the COVID-19 pandemic. Findings can be used for a more effective identification of students who may struggle during next stages of the pandemic and future crises.

A new machine learning model based on induction of rules for autism detection.

Abstract: Autism spectrum disorder is a developmental disorder that describes certain challenges associated with communication (verbal and non-verbal), social skills, and repetitive behaviors. Typically, autism spectrum disorder is diagnosed in a clinical environment by licensed specialists using procedures which can be lengthy and cost-ineffective. Therefore, scholars in the medical, psychology, and applied behavioral science fields have in recent decades developed screening methods such as the Autism Spectrum Quotient and Modified Checklist for Autism in Toddlers for diagnosing autism and other pervasive developmental disorders. The accuracy and efficiency of these screening methods rely primarily on the experience and knowledge of the user, as well as the items designed in the screening method. One promising direction to improve the accuracy and efficiency of autism spectrum disorder detection is to build classification systems using intelligent technologies such as machine learning. Machine learning offers advanced techniques that construct automated classifiers that can be exploited by users and clinicians to significantly improve sensitivity, specificity, accuracy, and efficiency in diagnostic discovery. This article proposes a new machine learning method called Rules-Machine Learning that not only detects autistic traits of cases and controls but also offers users knowledge bases (rules) that can be utilized by domain experts in understanding the reasons behind the classification. Empirical results on three data sets related to children, adolescents, and adults show that Rules-Machine Learning offers classifiers with higher predictive accuracy, sensitivity, harmonic mean, and specificity than those of other machine learning approaches such as Boosting, Bagging, decision trees, and rule induction.

Artificial Intelligence, Transport and the Smart City: Definitions and Dimensions of a New Mobility Era

Abstract: Artificial intelligence (AI) is a powerful concept still in its infancy that has the potential, if utilised responsibly, to provide a vehicle for positive change that could promote sustainable transitions to a more resource-efficient livability paradigm. AI with its deep learning functions and capabilities can be employed as a tool which empowers machines to solve problems that could reform urban landscapes as we have known them for decades now and help with establishing a new era; the era of the “smart city”. One of the key areas that AI can redefine is transport. Mobility provision and its impact on urban development can be significantly improved by the employment of intelligent transport systems in general and automated transport in particular. This new breed of AI-based mobility, despite its machine-orientation, has to be a user-centred technology that “understands” and “satisfies” the human user, the markets and the society as a whole. Trust should be built, and risks should be eliminated, for this transition to take off. This paper provides a novel conceptual contribution that thoroughly discusses the scarcely studied nexus of AI, transportation and the smart city and how this will affect urban futures. It specifically covers key smart mobility initiatives referring to Connected and Autonomous Vehicles (CAVs), autonomous Personal and Unmanned Aerial Vehicles (PAVs and UAVs) and Mobility-as-a-Service (MaaS), but also interventions that may work as enabling technologies for transport, such as the Internet of Things (IoT) and Physical Internet (PI) or reflect broader transformations like Industry 4.0. This work is ultimately a reference tool for researchers and city planners that provides clear and systematic definitions of the ambiguous smart mobility terms of tomorrow and describes their individual and collective roles underpinning the nexus in scope.

Rethinking Financial Contagion: Information Transmission Mechanism During the COVID-19 Pandemic.

Abstract: Rapidly growing numbers of empirical papers assessing the financial effects of COVID-19 pandemic triggered an urgent need for a study summarising the existing knowledge of contagion phenomenon. This paper provides a review of conceptual approaches to studying financial contagion at four levels of information transmission: (i) Catalyst of contagion; (ii) Media Attention; (iii) Spillover effect at financial markets; (iv) Macroeconomic fundamentals. We discuss the unique characteristics of COVID-19 crisis and demonstrate how this shock differs from previous crises and to what extent the COVID-19 pandemic can be considered a ‘black swan’ event. We also review the main concepts, definitions and methodologies that are frequently, but inconsistently, used in contagion literature to unveil the existing problems and ambiguities in this popular area of research. This paper will help researchers to conduct coherent and methodologically rigorous research on the impact of COVID-19 on financial markets during the pandemic and its aftermath.

Pharmacists at the frontline beating the COVID-19 pandemic

Abstract: As the lockdowns are being observed all over the globe and the national level pharmacy professionals are performing frontline roles, this editorial highlights the role of pharmacists in the COVID − 19 pandemic. Pharmacists globally are providing services amidst pandemic, including TRIAGE services, seeing patients and reducing the patients’ burden on health care facilities such as hospitals and GP practices. Pharmacists are also working to providing home deliveries, as well as dealing with the increasing number of patients coming through to pharmacies with the other ailments. Pharmacy associations have issued their guidelines and in this editorial, several global examples of pharmacists’ role in the COVID 19 are being discussed. Pakistan is used as a country case study in this editorial. The editorial also elaborates how pharmacists in the UK and Pakistan have teamed up together to compile 10-steps protection guidelines for the pharmacy teams in Pakistan in English and Urdu language. This 10-point guidance educates community pharmacies for safety and standard operation as the number of patients in the country continues to rise. These guidelines are endorsed by the government and private bodies. These can be adopted and adapted by any country; keeping in view their laws and regulations.

Can the COVID-19 pandemic and oil prices drive the US Partisan Conflict Index?

Abstract: This paper investigates the effect of the COVID-19 and oil prices on the US partisan conflict Using daily data on world COVID-19 and oil prices, monthly data on the US Partisan Conflict index, and the MIDAS method, the finding suggests that both COVID-19 and oil prices mitigate US political polarization The finding implies that political leaders aim low for partisan gains during stressful times

Update to device-related pressure ulcers: SECURE prevention. COVID-19, face masks and skin damage.

Abstract: The 2019 novel coronavirus disease (COVID-19) pandemic has brought the effects of device-related pressure ulcers (DRPU) into sharp focus. With the increased use of personal protective equipment (PPE), including face masks, continuous positive airway pressure (CAPP) masks and other devices, the incidence of DRPUs among health professionals and patients alike has risen starkly. As such, the Journal of Wound Care (JWC) consensus document, Device-related pressure ulcers: SECURE prevention, published in February 2020, is more relevant than ever. To help support patients and frontline health professionals, JWC is republishing the consensus in a digital format, along with a new introductory article outlining the DRPU risks posed by PPE and other medical devices used by patients and health professionals during the pandemic, and how the skin damage can be avoided. The aim is to provide frontline staff with a clear, simple strategy on how to prevent the risk of personal skin damage and/or DRPU during the pandemic, as well as point them in the direction of more indepth guidance on long-term strategies for prevention, for both themselves and patients.

State-of-the-art active optical techniques for three-dimensional surface metrology: a review [Invited].

Abstract: This paper reviews recent developments of non-contact three-dimensional (3D) surface metrology using an active structured optical probe. We focus primarily on those active non-contact 3D surface measurement techniques that could be applicable to the manufacturing industry. We discuss principles of each technology, and its advantageous characteristics as well as limitations. Towards the end, we discuss our perspectives on the current technological challenges in designing and implementing these methods in practical applications.

Time-Varying Impact of Geopolitical Risks on Oil Prices

Abstract: This paper analyses the dynamic impact of geopolitical risks (GPRs) on real oil returns for the period February 1974 to August 2017, using a time-varying parameter structural vector autoregressive ...

Learning opportunities from COVID-19 and future effects on health care system.

Abstract: Background and aims COVID-19 has had a crippling effect on the health care systems around the world with cancellation of elective medical services and disruption of daily life We would like to highlight the learning opportunities offered by the current pandemic and their implication for a better future health care system Methods We have undertaken a comprehensive review of the current literature to analyse the consequences of COVID-19 on health care system Using suitable keywords like ‘COVID-19’, ‘telemedicine’, ‘health care’ and ‘remote consultations’ on the search engines of PubMed, SCOPUS, Google Scholar and Research Gate in the first week of May we gathered information on various aspects of effect of COVID-19 Results There has been a shared drive worldwide to devise strategies to protect people against viral transmission with reinforcement of hand hygiene and infection control principles but also to provide continuity of health care Virtual and remote technologies have been increasingly used in health care management Conclusion COVID-19 has offered unique learning opportunities for the health care sector Rationalizing and optimizing available resources with resilience shown on the coronavirus frontline during the crisis are some of most important lessons learnt during the crisis Importance of personal hygiene and re-enforcement of infection control measures have been acknowledged Telemedicine revolution will be a vital factor in delivering health care in the future

LoAdaBoost: Loss-based AdaBoost federated machine learning with reduced computational complexity on IID and non-IID intensive care data.

Abstract: Intensive care data are valuable for improvement of health care, policy making and many other purposes. Vast amount of such data are stored in different locations, on many different devices and in different data silos. Sharing data among different sources is a big challenge due to regulatory, operational and security reasons. One potential solution is federated machine learning, which is a method that sends machine learning algorithms simultaneously to all data sources, trains models in each source and aggregates the learned models. This strategy allows utilization of valuable data without moving them. One challenge in applying federated machine learning is the possibly different distributions of data from diverse sources. To tackle this problem, we proposed an adaptive boosting method named LoAdaBoost that increases the efficiency of federated machine learning. Using intensive care unit data from hospitals, we investigated the performance of learning in IID and non-IID data distribution scenarios, and showed that the proposed LoAdaBoost method achieved higher predictive accuracy with lower computational complexity than the baseline method.

Venous thromboembolism in critically ill COVID-19 patients receiving prophylactic or therapeutic anticoagulation: a systematic review and meta-analysis.

Abstract: Many aspects of care such as management of hypercoagulable state in COVID-19 patients, especially those admitted to intensive care units is challenging in the rapidly evolving pandemic of novel coronavirus disease 2019 (COVID-19). We seek to systematically review the available evidence regarding the anticoagulation approach to prevent venous thromboembolism (VTE) among COVID-19 patients admitted to intensive care units. Electronic databases were searched for studies reporting venous thromboembolic events in patients admitted to the intensive care unit receiving any type of anticoagulation (prophylactic or therapeutic). The pooled prevalence (and 95% confidence interval [CI]) of VTE among patients receiving anticoagulant were calculated using the random-effects model. Subgroup pooled analyses were performed with studies reported prophylactic anticoagulation alone and with studies reported mixed prophylactic and therapeutic anticoagulation. We included twelve studies (8 Europe; 2 UK; 1 each from the US and China) in our systematic review and meta-analysis. All studies utilized LMWH or unfractionated heparin as their pharmacologic thromboprophylaxis, either prophylactic doses or therapeutic doses. Seven studies reported on the proportion of patients with the previous history of VTE (range 0–10%). The pooled prevalence of VTE among ICU patients receiving prophylactic or therapeutic anticoagulation across all studies was 31% (95% CI 20–43%). Subgroup pooled analysis limited to studies reported prophylactic anticoagulation alone and mixed (therapeutic and prophylactic anticoagulation) reported pooled prevalences of VTE of 38% (95% CI 10–70%) and 27% (95% CI 17–40%) respectively. With a high prevalence of thromboprophylaxis failure among COVID-19 patients admitted to intensive care units, individualised rather than protocolised VTE thromboprophylaxis would appear prudent at interim.

Methods for Rapid Pore Classification in Metal Additive Manufacturing

Abstract: The additive manufacturing of metals requires optimisation to find the melting conditions that give the desired material properties. A key aspect of the optimisation is minimising the porosity that forms during the melting process. A corresponding analysis of pores of different types (e.g. lack of fusion or keyholes) is therefore desirable. Knowing that pores form under different thermal conditions allows greater insight into the optimisation process. In this work, two pore classification methods were trialled: unsupervised machine learning and defined limits. These methods were applied to 3D pore data from X-ray computed tomography and 2D pore data from micrographs. Data were collected from multiple alloys (Ti-6Al-4V, Inconel 718, Ti-5553 and Haynes 282). Machine learning was found to be the most useful for 3D pore data and defined limits for the 2D pore data; the latter worked by optimising the limits using energy densities.

Global Prevalence and Risk Factors of Gastro-oesophageal Reflux Disease (GORD): Systematic Review with Meta-analysis

Abstract: Although gastro-oesophageal reflux disease (GORD) is a common medical complaint, there is currently no consensus on the global prevalence of GORD. The aim of this study was to conduct a systematic review and meta-analysis on GORD prevalence and risk factors at a global level. MEDLINE, EMBASE, CINAHL, Scopus, Cochrane library, and Google Scholar were systematically searched, without language restrictions, for studies on the prevalence and risk factors of GORD. Data were pooled using a random effects model (95% confidence interval), and the odds ratio and relative risk for each risk factor were calculated. Out of 34,355 search results, 96 records reporting the results from 102 studies fulfilled the inclusion criteria, representing 37 countries and all regions of the UN geoscheme. The global pooled prevalence of GORD was 13.98% and varied greatly according to region (12.88% in Latin America and the Caribbean to 19.55% in North America) and country (4.16% in China to 22.40% in Turkey). Using the United Nations 2017 Revision of World Population Prospects, the estimated number of individuals suffering from GORD globally is 1.03 billion. Multiple risk factors associated with a significant increase in the risk of GORD were also identified. This systematic review and meta-analysis revealed that although a substantial proportion (13.98%) of the global population suffers from GORD, there are significant variations between regions and countries. Risk factors for GORD were also identified which may allow clinicians to recognise individuals most at risk.

Why the Patient-Made Term 'Long Covid' is needed

Abstract: The patient-made term ‘Long Covid’ is, we argue, a helpful and capacious term that is needed to address key medical, epidemiological and socio-political challenges posed by diverse symptoms persisting beyond four weeks after symptom onset suggestive of coronavirus disease 2019 (COVID-19). An international movement of patients (which includes all six authors) brought the persistence and heterogeneity of long-term symptoms to widespread visibility. The same grassroots movement introduced the term ‘Long Covid’ (and the cognate term ‘long-haulers’) to intervene in relation to widespread assumptions about disease severity and duration. Persistent symptoms following severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection are now one of the most pressing clinical and public health phenomena to address: their cause(s) is/are unknown, their effects can be debilitating, and the percentage of patients affected is unclear, though likely significant. The term ‘Long Covid’ is now used in scientific literature, the media, and in interactions with the WHO. Uncertainty regarding its value and meaning, however, remains. In this Open Letter, we explain the advantages of the term ‘Long Covid’ and bring clarity to some pressing issues of use and definition. We also point to the importance of centring patient experience and expertise in relation to ‘Long Covid’ research, as well as the provision of care and rehabilitation.

Decolonising Global (Public) Health: from Western universalism to Global pluriversalities

Abstract: ### Summary box > ‘The struggle of our times, one that has hitherto had no name, is the struggle against this overrepresentation of the western bourgeois Man’ > > —Sylvia Wynter1 > ‘They(We) are in effect still trapped in a history which they(we) do not understand and until they(we) understand it, they(we) cannot be released from it’ > > —James Baldwin2A quick Google search using the keywords ‘Ebola deaths’ produces a series of images showing people in various stages of death and suffering Two, which appear towards the top, are particularly striking In one, a woman crawls towards a body, in the other, a man lays motionless on the ground Both are clearly identifiable A similar search, this time, using the keywords ‘COVID-19 deaths’ does not produce comparable results, even though we scrolled much further down …

Preparing construction supply chains for blockchain technology: An investigation of its potential and future directions

Abstract: Blockchain, a peer-to-peer, controlled, distributed database structure, has the potential to profoundly affect current business transactions in the construction industry through smart contracts, cryptocurrencies, and reliable asset tracking. The construction industry is often criticized for being slow in embracing emerging technologies and not effectively diffusing them through its supply chains. Often, the extensive fragmentation, traditional procurement structures, destructive competition, lack of collaboration and transparency, low-profit margins, and human resources are shown as the main culprits for this. As blockchain technology makes its presence felt strongly in many other industries like finance and banking, this study investigates the preparation of construction supply chains for blockchain technology through an explorative analysis. Empirical data for the study were collected through semi-structured interviews with 17 subject experts. Alongside presenting a strengths, weaknesses, opportunities, and threats analysis (SWOT), the study exhibits the requirements for and steps toward a construction supply structure facilitated by blockchain technology.