bluuebunny/crossref_metadata_2025_split huggingface dataset:
Oxygen provision to severely ill COVID-19 patients at the peak of the 2020 pandemic in a Swedish district hospital
Authors: Hvarfner Anna , Al-Djaber Ahmed , Ekström Hampus , Enarsson Malin , Castegren Markus , Baker Tim , Schell Carl Otto 
Published: March 2021

AbstractOxygen is a low-cost and life-saving therapy for patients with COVID-19. Yet, it is a limited resource in many hospitals in low income countries and in the 2020 pandemic even hospitals in richer countries reported oxygen shortages. An accurate understanding of oxygen requirements is needed for capacity planning. The World Health Organization estimates the average flow-rate of oxygen to severe COVID-19-patients to be 10 l/min. However, there is a lack of empirical data about the oxygen provision to patients. This study aimed to estimate the oxygen provision to COVID-19 patients with severe disease in a Swedish district hospital.A retrospective, medical records-based cohort study was conducted in March to May 2020 in a Swedish district hospital. All adult patients with severe COVID-19 – those who received oxygen in the ward and had no ICU-admission during their hospital stay – were included. Data were collected on the oxygen flow-rates provided to the patients throughout their hospital stay, and summary measures of oxygen provision calculated.One-hundred and twenty six patients were included, median age was 70 years and 43% were female. On admission, 27% had a peripheral oxygen saturation of ≤91% and 54% had a respiratory rate of ≥25/min. The mean oxygen flow-rate to patients while receiving oxygen therapy was 3.0 l/min (SD 2.9) and the mean total volume of oxygen provided per patient admission was 16,000 l (SD 23,000).In conclusion, the provision of oxygen to severely ill COVID-19-patients was lower than previously estimated. Further research is required before global estimates are adjusted.
Real-time Updating of Dynamic Social Networks for COVID-19 Vaccination Strategies
Authors: Cheng Sibo , Pain Christopher C. , Guo Yi-Ke , Arcucci Rossella 
Published: March 2021

AbstractVaccination strategy is crucial in fighting the COVID-19 pandemic. Since the supply is still limited in many countries, contact network-based interventions can be most powerful to set an efficient strategy by identifying high-risk individuals or communities. However, due to the high dimension, only partial and noisy network information can be available in practice, especially for dynamic systems where contact networks are highly time-variant. Furthermore, the numerous mutations of SARS-CoV-2 have a significant impact on the infectious probability, requiring real-time network updating algorithms. In this study, we propose a sequential network updating approach based on data assimilation techniques to combine different sources of temporal information. We then prioritise the individuals with high-degree or high-centrality, obtained from assimilated networks, for vaccination. The assimilation-based approach is compared with the standard method (based on partially observed networks) and a random selection strategy in terms of vaccination effectiveness in a SIR model. The numerical comparison is first carried out using real-world face-to-face dynamic networks collected in a high school, followed by sequential multi-layer networks generated relying on the Barabasi-Albert model emulating large-scale social networks with several communities.
Acceptability of COVID-19 vaccination among health care workers in Ghana
Authors: Agyekum Martin Wiredu , Afrifa-Anane Grace Frempong , Kyei-Arthur Frank , Addo Bright 
Published: March 2021

AbstractThe acceptance or otherwise of the COVID-19 vaccine by health care workers can influence the uptake of COVID-19 vaccines among the general population as they are a reliable source of health information. In this study, we sought to determine the acceptability of COVID-19 vaccines among health care workers in Ghana. Using a cross-sectional design, we collected data from 234 health care workers through a self-administered online survey from 16 January to 15 February 2021. Descriptive, bivariate and multivariate analyses using binary logistic regression were performed using STATA version 15. The results showed that 39.3% of health care workers had the intention of receiving the COVID-19 vaccine. Factors such as sex, category of health care workers, relative being diagnosed with COVID-19, and trust in the accuracy of the measures taken by the government in the fight against COVID-19 proved to be significant predictors of the acceptability of the COVID-19 vaccine. Concerns about the safety of vaccines and the adverse side effects of the vaccine were identified as the main reasons why health care workers would decline uptake of the COVID-19 vaccine in Ghana. The self-reported low intention of health care workers to accept the COVID-19 vaccine in Ghana requires the urgent call of the Government of Ghana and other stakeholders to critically address health care workers’ concerns about the safety and adverse side effects of COVID-19 vaccines, as this would increase vaccine uptake. Interventions must also take into consideration sex and the category of health care workers to achieve the desired results.
Comprehensive evaluation of the impact of sociodemographic inequalities on adverse outcomes and excess mortality during the COVID-19 pandemic in Mexico City
Authors: Antonio-Villa Neftali Eduardo , Fernandez-Chirino Luisa , Pisanty-Alatorre Julio , Mancilla-Galindo Javier , Kammar-García Ashuin , Vargas-Vázquez Arsenio , González-Díaz Armando , Fermín-Martínez Carlos A. , Márquez-Salinas Alejandro , Cañedo-Guerra Enrique , Bahena-López Jessica Paola , Villanueva-Reza Marco , Márquez-Sánchez Jessica , Jaramillo-Molina Máximo Ernesto , Gutiérrez-Robledo Luis Miguel , Bello-Chavolla Omar Yaxmehen 
Published: March 2021

ABSTRACTThe impact of the COVID-19 pandemic in Mexico City has been sharp, as several social inequalities coexist with chronic comorbidities. Here, we conducted an in-depth evaluation of the impact of social, municipal, and individual factors on the COVID-19 pandemic in working-age population living in Mexico City. To this end, we used data from the National Epidemiological Surveillance System; furthermore, we used a multidimensional metric, the social lag index (DISLI), to evaluate its interaction with mean urban population density (MUPD) and its impact on COVID-19 rates. Influence DISLI and MUPD on the effect of vehicular mobility policies on COVID-19 rates were also tested. Finally, we assessed the influence of MUPD and DISLI on discrepancies of COVID-19 and non-COVID-19 excess mortality compared with death certificates from the General Civil Registry. We detected vulnerable groups who belonged to economically active sectors and who experienced increased risk of adverse COVID-19 outcomes. The impact of social inequalities transcends individuals and has significant effects at a municipality level, with and interaction between DISLI and MUPD. Marginalized municipalities with high population density experienced an accentuated risk for adverse COVID-19 outcomes. Additionally, policies to reduce vehicular mobility had differential impacts across marginalized municipalities. Finally, we report an under-registry of COVID-19 deaths and significant excess mortality associated with non-COVID-19 deaths closely related to MUPD/DISLI in an ambulatory setting, which could be a negative externality of hospital reconversion. In conclusion, social, individual, and municipality-wide factors played a significant role in shaping the course of the COVID-19 pandemic in Mexico City.
Mendelian Randomization for causal inference accounting for pleiotropy and sample structure using genome-wide summary statistics
Authors: Hu Xianghong , Zhao Jia , Lin Zhixiang , Wang Yang , Peng Heng , Zhao Hongyu , Wan Xiang , Yang Can 
Published: March 2021

AbstractMendelian Randomization (MR) is a valuable tool for inferring causal relationships among a wide range of traits using summary statistics from genome-wide association studies (GWASs). Existing summary-level MR methods often rely on strong assumptions, resulting in many false positive findings. To relax MR assumptions, ongoing research has been primarily focused on accounting for confounding due to pleiotropy. Here we show that sample structure is another major confounding factor, including population stratification, cryptic relatedness, and sample overlap. We propose a unified MR approach, MR-APSS, which (i) accounts for pleiotropy and sample structure simultaneously by leveraging genome-wide information; and (ii) allows to include more genetic variants with moderate effects as instrument variables (IVs) to improve statistical power without inflating type I errors. We first evaluated MR-APSS using comprehensive simulations and negative controls, and then applied MR-APSS to study the causal relationships among a collection of diverse complex traits. The results suggest that MR-APSS can better identify plausible causal relationships with high reliability. In particular, MR-APSS can perform well for highly polygenic traits, where the IV strengths tend to be relatively weak and existing summary-level MR methods for causal inference are vulnerable to confounding effects.
Prevalence of COVID-19 in Iran: Results of the first survey of the Iranian COVID-19 Serological Surveillance program
Authors: Khalagi Kazem , Gharibzadeh Safoora , Khalili Davood , Mansournia Mohammad Ali , Samiee Siamak Mirab , Aghamohamadi Saeide , Mir-Mohammad-Ali Roodaki Maryam , Hashemi Seyed Mahmoud , Tayeri Katayoun , Tabar Hengameh Namdari , Azadmanesh Kayhan , Tabrizi Jafar Sadegh , Mohammad Kazem , Hajipour Firoozeh , Namaki Saeid , Raeisi Alireza , Ostovar Afshin 
Published: March 2021

AbstractBackgroundThis study aims to estimate the prevalence of COVID-19 in the general population of Iran.MethodsThe target population was all Iranian people aged six years and older in the country. A stratified random sampling design was used to select 28,314 subjects from among the individuals registered in the electronic health record systems used in primary health care in Iran. Venous blood was taken from each participant and tested for the IgG antibody against COVID-19. The prevalence of COVID-19 was estimated at provincial and national levels after adjusting for the measurement error of the laboratory test, non-response bias, and sampling design.ResultsOf the 28,314 Iranians selected, 11,256 (39.75%) participated in the study. Of these, 5406 (48.0%) were male, and 6851 (60.9%) lived in urban areas. The mean (standard deviation) participant age was 35.89 (18.61) years. The adjusted prevalence of COVID-19 until August 20, 2020 was estimated as 14.2% (95% uncertainty interval: 13.3%, 15.2%), which was equal to 11,958,346 (95% confidence interval: 11,211,011–12,746,776) individuals. The prevalence of infection was 14.6%, 13.8%, 16.6%, 11.7%, and 19.4% among men, women, urban population, rural population, and individuals ≥60 years of age, respectively. Ardabil, Golestan, and Khuzestan provinces had the highest prevalence, and Alborz, Hormozgan, and Kerman provinces had the lowest.ConclusionsBased on the study results, a large proportion of the Iranian population had not yet been infected by COVID-19. The observance of hygienic principles and social restrictions should therefore continue until the majority of the population has been vaccinated.
Remove the negatives or highlight the positives? The effect of negativity bias in food preferences
Authors: Salnikova Ekaterina , Stanton John L. 
Published: March 2021

PurposeThe interest of food consumers in improved quality, healthiness, freshness, and authenticity results in a growing introduction of new food products featuring a variety of “positive” (e.g. “Enriched with Vitamin D”) and “negative” (e.g. “Low in Fat”) label claims. It's the goal of this paper to uncover how the presence of positive and absence of negative benefits or attributes balance in the minds of consumers, determine which label claims would have the greatest impact on consumers' intention to buy milk, and understand the role of stating these in either a positive or a negative frame.Design/methodology/approachTo achieve the objectives of this paper, we utilize (1) descriptive study to identify which claims are currently used by the dairy marketing practitioners, (2) focus group to identify the importance of positive and negative product claims, and (3) online survey including discrete choice experiment (DCE) to determine the effect of positive and negative claims on consumer food choices.FindingsWe provide evidence of negative bias in consumers facing the choice between foods with enriched positive ingredients vs foods that are free-from negative ingredients. Specifically, we find that consumers have a general tendency toward giving negative attributes more weight than positive ones.Research limitations/implicationsThe research was conducted in one food category.Practical implicationsThis research should encourage food marketers to include more positive statements about their products rather than the current focus on negatives such as no GMOs or no hormones. the authors understand these negative attributes need to be made but there should also be positive attributes.Social implicationsConsumers will get a total picture of the product values and not skewed to one point.Originality/valueThe concept of negative bias has not be adequately explored in the food category on product labels.
Benchmarking entrepreneurial intentions of women in the United Arab Emirates
Authors: Sandhu Maqsood Ahmad , Farooq Omer , Khalid Saba , Farooq Mariam 
Published: March 2021

PurposeBased on the extensive literature review and the research published in the context of Western countries, this study proposes that the entrepreneurship education, participation in entrepreneurial seminars at the universities and their involvement in the activities of innovation and incubation center of the universities may foster entrepreneurial intentions (EIs) among Emirati female graduating students.Design/methodology/approachTo test the study’s hypothesized model, survey data are collected from 283 female graduating students of 19 public and private universities in the United Arab Emirates (UAE). The analysis of the data relies upon multiple hierarchical regression and moderation analysis in SPSS.FindingsThe results suggest that all three types of educational activities positively influence the women's EIs in the UAE. However, formal entrepreneurship courses are more effective than the participation in seminars and involvement in the activities of innovation/incubation center. The authors also found that perceived social support does not moderate the impact of education on EIs, which means that entrepreneurship education is equally effective in fostering EIs, no matter female students perceive low or high social support. On the other hand, results demonstrate that the level of gender stereotypes negatively moderates the impact of education on it. This implies that if a female student believes in a high gender stereotype, the impact of education on her EIs will be low and vice versa.Research limitations/implicationsThis study specifically focuses on women entrepreneurship and for the UAE only. However, the results can be generalized for female entrepreneurship, specifically for countries where governments are taking initiatives to foster female entrepreneurship. The study provides specific implications for the UAE public policy government.Practical implicationsAs the Government of the UAE is keenly interested to boost up the women entrepreneurial behavior, the findings of the study support that in addition to entrepreneurship education, the government should also encourage the universities to arrange entrepreneurship seminars as these seminars also increase the EIs of women. In addition, the government and the universities should also focus on the involvement of women in the incubation centers/innovation park because the incubation centers can provide the practical exposure to the women in the new business start-ups.Originality/valueThis research is among the first, which benchmarks women EIs in the UAE.
Trait gratitude and job search: the mediating role of perceived employability
Authors: Harrison Jennifer A. , Budworth Marie-Hélène , Halinski Michael 
Published: March 2021

PurposeThe purpose of this paper is to examine the influence of trait gratitude on job search behaviour (preparatory and active) for job seekers approaching graduation. The mediating role of perceived employability is examined.Design/methodology/approachData were collected from job seekers (n = 143) in their final month of study in two waves with a one-month time lag between first and second data collection.FindingsStructural equation modelling analyses revealed that trait gratitude was significantly and positively associated with perceived employability. Perceived employability mediated the relationship between trait gratitude and preparatory job search, but not active job search.Research limitations/implicationsThis study extends research on job search by highlighting the applicability of trait gratitude to the job search process.Practical implicationsCareer counsellors should consider trait gratitude as relevant for program development to address the self-regulation of personal resources during job search.Originality/valueThis study is the first step towards connecting trait gratitude to the job search literature. The study identifies trait gratitude as a distal personal resource important for self-regulation of a proximal personal resource (i.e. perceived employability) and subsequent job search behaviour.
Relating mindfulness to financial well-being through materialism: evidence from India
Authors: Sinha Nishit Kumar , Kumar Pankaj , Priyadarshi Pushpendra 
Published: March 2021

PurposeThe purpose of this study is to examine the relationship between dispositional mindfulness and financial well-being (FWB) and the mediating role of materialism on this relationship.Design/methodology/approachA conceptual framework is provided to support the research hypotheses. A survey with 311 working professionals from India allowed the hypothesized relationship to be tested through regression-based models.FindingsThe findings reveal that the three dimensions of FWB – financial anxiety, current money management stress and perceived financial security – are predicted by mindfulness and materialism even after controlling for several demographic variables. Materialism mediates the relationship between mindfulness and FWB.Research limitations/implicationsThe findings are subject to the usual cautions associated with self-reported cross-sectional data. Future research may incorporate mindfulness interventions to establish causal relationships.Practical implicationsThe study provides theoretical guidance to the policymakers and the financial institutions, including banks, which may focus on malleable factors beyond merely income to enhance FWB. Mindfulness is not only a trait but also could be cultivated by various physical and online-based mindfulness practices. Banks may integrate tools promoting mindfulness within their interactive web framework in order to stimulate customers' control over their daily spending through enhancing mindful awareness of present financial actions and their impact on the financial future. Thus, organizations may institutionalize such programs within their framework to help their employees cultivate greater FWB. Mindfulness promotes less anxiety related to financial decisions, which may develop customers' value as well as business opportunities for banks.Originality/valueUnlike other FWB dispositional antecedents, which become relatively stable at the formative stage, mindfulness levels can be enhanced in different age-groups. To our knowledge, this is the first study to empirically establish that mindfulness exerts its beneficial effects on FWB directly, and, through reducing materialistic motives.
Force attenuation capacity of weft-knitted spacer fabric in low-velocity impact
Authors: Rudy Ryan , Wardiningsih Wiah 
Published: March 2021

PurposeThis study aimed to determine the peak impact force and force attenuation capacity of weft-knitted spacer fabrics intended for padding that can be used for human body protection against impact.Design/methodology/approachA total of five weft-knitted spacer fabrics were fabricated with four different diameters of nylon monofilament yarns and one doubled monofilament yarns, respectively. The impact performances of the weft-knitted spacer fabrics were tested using a drop test method with a customized test rig to simulate falling. Impact tests were conducted on single- and multilayered experimental spacer fabrics to investigate the peak impact force and force attenuation capacity.FindingsIt was found that weft-knitted spacer fabric with a coarser or larger diameter of monofilament spacer yarn generated lower impact force and higher force attenuation capacity, thus resulting in better impact performance. Greater force attenuation can be achieved by utilizing a higher number of spacer fabric layers. However, the increase in thickness must be considered with the spacer fabric end use.Originality/valueThis study employed relatively coarse nylon monofilament yarn as spacer yarns to gain knowledge on the impact performance of weft-knitted spacer fabrics compared to warp-knitted spacer fabrics which are more common. The results showed that the diameter of spacer yarn significantly influenced the impact performance of the experimental weft-knitted spacer fabrics. These results could be useful for designing and engineering textile-based impact protectors.
Detecting faking responses during empirical research: a study in a developing country environment
Authors: Tetteh Godson A. , Amoako-Gyampah Kwasi , Kwarteng Amoako 
Published: March 2021

Purpose
Several research studies on Lean Six Sigma (LSS) have been done using the survey methodology. However, the use of surveys often relies on the measurement of variables, which cannot be directly observed, with attendant measurement errors. The purpose of this study is to develop a methodological framework consisting of a combination of four tools for identifying and assessing measurement error during survey research.

Design/methodology/approach
This paper evaluated the viability of the framework through an experimental study on the assessment of project management success in a developing country environment. The research design combined a control group, pretest and post-test measurements with structural equation modeling that enabled the assessment of differences between honest and fake survey responses. This paper tested for common method variance (CMV) using the chi-square test for the difference between unconstrained and fully constrained models.

Findings
The CMV results confirmed that there was significant shared variance among the different measures allowing us to distinguish between trait and faking responses and ascertain how much of the observed process measurement is because of measurement system variation as opposed to variation arising from the study’s constructs.

Research limitations/implications
The study was conducted in one country, and hence, the results may not be generalizable.

Originality/value
Measurement error during survey research, if not properly addressed, can lead to incorrect conclusions that can harm theory development. It can also lead to inappropriate recommendations for practicing managers. This study provides findings from a framework developed and assessed in a LSS project environment for identifying faking responses. This paper provides a robust framework consisting of four tools that provide guidelines on distinguishing between fake and trait responses. This tool should be of great value to researchers.