bluuebunny/crossref_metadata_2025_split huggingface dataset:
Households at Higher Risk of Losing at Least One Individual in India: if COVID-19 is a new normal
Authors: Singh Rajeev Ranjan , Sharma Palak , Maurya Priya 
Published: June 2020

AbstractAfter the outbreak of COVID-19 and the passing of a few months with this pandemic; the world has started to adopt strategies to live with the virus. The WHO has also accepted that the pandemic caused by the novel coronavirus is going to last longer, and suggested that one needs to learn to live with this virus. Accepting this bitter truth that this pandemic is going to be a new normal and people of all ages can be infected by the new coronavirus; however, older people and those with chronic diseases are more vulnerable to the virus. The study tries to access the household with at least one patient with few selected chronic diseases in India, which are presumed to be at a higher risk of losing at least one individual if this pandemic scenario is going to last long and spread is wider. The study used nationally representative data (NSSO) for information on morbidity and other health-related issues. Data from the official website of the Ministry of Health and Family Welfare dedicated to COVID-19 reports have been used to look into the recent happenings caused by COVID-19 pandemic in India. Bivariate analysis has been used to calculate household at risk, and binary logistic regression has been used for the likelihood of household at risk. The case-fatality ratio is calculated using the number of confirmed cases and the number deceased due to the same. The study found that about 9.4% of Indian households are at a higher risk of losing at least one individual. Older people (60+), males and households with better economic status are at a higher risk. The chronic condition varies by states and social-economic and demographic status. The share of households at higher risk was highest in Kerala (33.19%), followed by Andhra Pradesh (19.85%) and Chandigarh (19.05%).
Controlling the Spread of COVID-19: Optimal Control Analysis
Authors: Madubueze Chinwendu E. , Dachollom Sambo , Onwubuya Isaac Obiajulu 
Published: June 2020

AbstractCoronavirus disease 2019 (COVID-19) is a disease caused by Severe acute respiratory syndrome coronavirus 2 (SARS CoV-2). It was declared on March 11, 2020, by the World Health Organization as pandemic disease. The disease has neither approved medicine nor vaccine and has made government and scholars search for drastic measures in combating the pandemic. Regrettably, the spread of the virus and mortality due to COVID-19 has continued to increase daily. Hence, it is imperative to control the spread of the disease particularly using non-pharmacological strategies such as quarantine, isolation and public health education. This work studied the effect of these different control strategies as time-dependent interventions using mathematical modeling and optimal control approach to ascertain their contributions in the dynamic transmission of COVID-19. The model was proven to have an invariant region and was well-posed. The basic reproduction number was computed with and without interventions and was used to carry out the sensitivity analysis that identified the critical parameters contributing to the spread of COVID-19. The optimal control analysis was carried out using the Pontryagin’s maximum principle to figure out the optimal strategy necessary to curtail the disease. The findings of the optimal control analysis and numerical simulations revealed that time-dependent interventions reduced the number of exposed and infected individuals compared to time-independent interventions. These interventions were time-bound and best implemented within the first 100 days of the outbreak. Again, the combined implementation of only two of these interventions produced a good result in reducing infection in the population, while the combined implementation of all three interventions performed better, even though zero infection was not achieved in the population. This implied that multiple interventions need to be deployed early in order to the virus to the barest minimum.
Indian Publications on SARS-CoV-2: A Bibliometric Study of WHO COVID-19 Database
Authors: Vasantha Raju N. , Patil S.B. 
Published: June 2020

AbstractNowadays, the whole World is under threat of Coronavirus disease (COVID-19). The ongoing COVID-19 pandemic has resulted in many fatalities and forced scientific communities to foster their Research and Development (R & D) activities. As a result, there is an enormous growth of scholarly literature on the subject. In order to combat this novel coronavirus, the open access to scientific literature is essential. On this line, many reputed academic institutions and publication firms have made their literature on COVID-19 accessible to all. By maintaining the database of updated information on global literature on Coronavirus disease, the World Health Organization (WHO) is playing a pivotal role. The present study analyzed 89 Indian publications on SARS-CoV-2 accessible through WHO COVID-19 database. The research data was restricted for the period of 2/3/2020 to 12/5/2020. The analysis was carried out in light of the objectives of the study. The study found the considerable and constant growth of Indian publications on COVID-19 from mid-April. It is interesting to note that the prolific authors belong to either AIIMS or ICMR institutes. Majority of the COVID-19 articles were found to be collaborative publications. The study noticed that no research publications on COVID-19 have appeared from North Eastern region. Regarding the research output on COVID-19, the performance of largest states like Uttar Pradesh, Madhya Pradesh and Bihar was found to be poor. Delhi state contributed highest publications on COVID-19. The All India Institute of Medical Sciences (AIIMS), New Delhi was the most productive institution in terms of publications. It is also important to note that the central government undertakings like AIIMS and ICMR, New Delhi and its affiliated institutions shared largest proportion of publications on COVID-19. The Indian Journal of Medical Research has emerged as the productive journal contributing highest number of the publications. The highest contribution in COVID-19 research takes the form of journal articles. In terms of research area, the majority of the publications were related to Epidemiology. The study reported covid, coronavirus, India, pandemic, sars etc. as the frequently occurred keywords in the COVID-19 publications. The highly cited publications were of evidenced based studies. It is observed that the studies pertaining to virology, diagnosis and treatment, clinical features etc. have received highest citations than general studies on epidemiology or pandemic.
Operationalizing genomic epidemiology during the Nord-Kivu Ebola outbreak, Democratic Republic of the Congo
Authors: Kinganda-Lusamaki Eddy , Black Allison , Mukadi Daniel , Hadfield James , Mbala-Kingebeni Placide , Pratt Catherine B , Aziza Amuri , Diagne Moussa M , White Bailey , Bisento Nella , Nsunda Bibiche , Akonga Marceline , Faye Martin , Faye Ousmane , Edidi-Atani Francois , Matondo Meris , Mambu Fabrice , Bulabula Junior , Paola Nicholas Di , Palacios Gustavo , Delaporte Eric , Sall Amadou Alpha , Peeters Martine , Wiley Michael R. , Ahuka-Mundeke Steve , Bedford Trevor , Muyembe Tamfum Jean-Jacques 
Published: June 2020

AbstractThe Democratic Republic of the Congo declared its tenth Ebola virus disease outbreak in July 2018, which has circulated primarily in the Nord Kivu province. In addition to standard epidemiologic surveillance and response efforts, the Institut National de Recherche Biomédicale implemented an end-to-end genomic surveillance system, including sequencing, bioinformatic analysis, and dissemination of genomic epidemiologic results to frontline public health workers. Here we report 538 new genomes from this outbreak; together with previously available sequence data (n = 48 genomes), this represents an unprecedented 17% of all laboratory-confirmed infections. To support outbreak response efforts, we reconstructed spatiotemporal transmission dynamics at broad and at fine scales as new data were available and disseminated the results via an interactive narrative-based platform. Our innovative system enables actionable information sharing between scientists and epidemiologists coordinating the day-to-day response on the time scales necessary to guide response efforts. The development of this genomic surveillance pipeline, within a resource-limited setting, represents significant technological and scientific progress in genomic epidemiology. Here we present a phylodynamic analysis of the outbreak as of February 2020, and describe the types of epidemiologic dynamics that we monitor the genomic data for, including resolution of co-circulating transmission chains, detection of superspreading events, inference of regions that act as transmission sources and sinks, and differentiation of closely linked cases versus propagated transmission. These findings have ameliorated the current outbreak response and are directly applicable to future outbreaks.
An optimal lockdown relaxation strategy for minimizing the economic effects of covid–19 outbreak
Authors: Mahasinghe A.C. , Erandi K.K.W.H. , Perera S.S.N. 
Published: June 2020

AbstractIn order to recover the damage to the economy by the ongoing covid–19 pandemic, many countries consider the transition from strict lockdowns to partial lockdowns through relaxation of preventive measures. In this work, we propose an optimal lockdown relaxation strategy, which is aimed at minimizing the damage to the economy, while confining the covid–19 incidence to a level endurable by the available healthcare facilities in the country. In order to capture the transmission dynamics, we adopt the compartment models and develop the relevant optimization model, which turns out to be non–linear. We generate approximate solutions to the problem, whereas our experimentation is based on the data on the covid–19 outbreak in Sri Lanka.
A web survey to assess the use efficacy of personnel protective materials among allied health care workers during COVID-19 pandemic at North-East India
Authors: Kotian Rahul P , Debnath Manna , Zosangliani  , D’souza Brayal , Faujdar Disha 
Published: June 2020

AbstractThe rising pandemic is resulting in increased usage of personnel protective equipment in the hospital and community. The efficient and effective use of appropriate personal protective equipment will help assure its availability and healthcare provider safety. The purpose of this study was to assess the use efficacy of PPE among health care workers through a web based survey during the pandemic. the response rate of the survey was 66.75%. 35.2% gave a full rating on a point of 5 regarding the control measures taken by the hospital, 39% of respondents did not use the PPE, 90.6% used a surgical mask while 65.9% wore the disposable gloves and only 47.6% wore the goggles/face shield More than half the respondents did not wear the shoe-cover. 97.4% used the hand sanitizer and around 97% maintained hand hygiene practice.
ProkSeq for complete analysis of RNA-seq data from prokaryotes
Authors: Mahmud A K M Firoj , Nandi Soumyadeep , Fällman Maria 
Published: June 2020

AbstractSummarySince its introduction, RNA-seq technology has been used extensively in studies of pathogenic bacteria to identify and quantify differences in gene expression across multiple samples from bacteria exposed to different conditions. With some exceptions, the current tools for assessing gene expression have been designed around the structures of eukaryotic genes. There are a few stand-alone tools designed for prokaryotes, and they require improvement. A well-defined pipeline for prokaryotes that includes all the necessary tools for quality control, determination of differential gene expression, downstream pathway analysis, and normalization of data collected in extreme biological conditions is still lacking. Here we describe ProkSeq, a user-friendly, fully automated RNA-seq data analysis pipeline designed for prokaryotes. ProkSeq provides a wide variety of options for analysing differential expression, normalizing expression data, and visualizing data and results, and it produces publication-quality figures.Availability and implementationProkSeq is implemented in Python and is published under the ISC open source license. The tool and a detailed user manual are hosted at Docker:https://hub.docker.com/repository/docker/snandids/prokseq-v2.1, Anaconda:https://anaconda.org/snandiDS/prokseq; Github:https://github.com/snandiDS/prokseq.
Resolving phenotypic and prognostic differences in interstitial lung disease related to systemic sclerosis by computed tomography-based radiomics
Authors: Schniering J. , Maciukiewicz M. , Gabrys H. S. , Brunner M. , Blüthgen C. , Meier C. , Braga-Lagache S. , Uldry A. , Heller M. , Distler O. , Guckenberger M. , Fretheim H. , Hoffmann-Vold A. , Nakas C. T. , Frauenfelder T. , Tanadini-Lang S. , Maurer B. 
Published: June 2020

AbstractRadiomic features are quantitative data calculated from routine medical images and have shown great potential for disease phenotyping and risk stratification in cancer. Patients with systemic sclerosis (SSc), a multi-organ autoimmune disorder, have a similarly poor prognosis (10-year survival of 66%), due to interstitial lung disease (ILD) as the primary cause of death. Here, we present the analysis of 1,355 stable radiomic features extracted from computed tomography scans from 156 SSc-ILD patients, which describe distinct disease phenotypes and show prognostic power in two independent cohorts. We derive and externally validate a first quantitative radiomic risk score, qRISSc that accurately predicts progression-free survival in SSc-ILD and outperforms current clinical stratification measures. Correlation analysis with lung proteomics, histology and gene expression data in a cross-species approach demonstrates that qRISSc reverse translates into mice and captures the fibrotic remodeling process in experimental ILD.
Consequences of post-disaster policies and relocation approaches: two communities from rural China
Authors: Chen Yong , He Lulu , Zhou Dan 
Published: June 2020

PurposePost-disaster population resettlement is a complicated process, during which the restoration of livelihood and lifestyle plays a critical role in achieving a successful resettlement outcome. This paper attempts to examine how recovery policies and relocation approaches influence people's livelihood recovery and perception of wellbeing. It specifically investigates the role of farmland in producing a livelihood and maintaining a rural lifestyle among displaced people.Design/methodology/approachThrough face-to-face questionnaire surveys and in-depth interviews with rural residents displaced from their villages after the Wenchuan earthquake in Sichuan, China, this study presents both quantitative and qualitative evidence to investigate how post-disaster policies and particularly the availability of farmland influence people's recovery and their satisfaction with the post-resettlement life.FindingsData suggest that availability of farmland, in spite of the size, makes big differences in post-disaster recovery because farmland provides resettled people with not only a livelihood to secure basic living but also a guarantee to maintain a rural lifestyle.Research limitations/implicationsMore samples are needed for analyzing factors that significantly influence disaster-displaced farmers' recovery and wellbeing post resettlement.Practical implicationsThis study can be used as an important reference for making plans for post-disaster recovery and population resettlement programs in other disaster-prone countries across the world.Originality/valueLand-based relocation is proposed as a desirable approach to addressing challenges of livelihood restoration amongst the resettled population in rural areas of developing countries.
Distributed pool mining and digital inequalities, From cryptocurrency to scientific research
Authors: Kreitem Hanna M. , Ragnedda Massimo 
Published: June 2020

Purpose
This paper aims to look at shifts in internet-related content and services economies, from audience labour economies to Web 2.0 user-generated content, and the emerging model of user computing power utilisation, powered by blockchain technologies. The authors look at and test three models of user computing power utilisation based on distributed computing (Coinhive, Cryptotab and Gridcoin) two of which use cryptocurrency mining through distributed pool mining techniques, while the third is based on distributed computing of calculations for scientific research. The three models promise benefits to their users, which the authors discuss throughout the paper, studying how they interplay with the three levels of the digital divide.

Design/methodology/approach
The goal of this article is twofold as follows: first to discuss how using the mining hype may reduce digital inequalities, and secondly to demonstrate how these services offer a new business model based on value rewarding in exchange for computational power, which would allow more online opportunities for people, and thus reduce digital inequalities. Finally, this contribution discusses and proposes a method for a fair revenue model for content and online service providers that uses user device computing resources or computational power, rather than their data and attention. The method is represented by a model that allows for consensual use of user computing resources in exchange for accessing content and using software tools and services, acting essentially as an alternative online business model.

Findings
Allowing users to convert their devices’ computational power into value, whether through access to services or content or receiving cryptocurrency and payments in return for providing services or content or direct computational powers, contributes to bridging digital divides, even at fairly small levels. Secondly, the advent of blockchain technologies is shifting power relations between end-users and content developers and service providers and is a necessity for the decentralisation of internet and internet services.

Originality/value
The article studies the effect of services that rely on distributed computing and mining on digital inequalities, by looking at three different case studies – Coinhive, Gridcoin and Cryptotab – that promise to provide value in return for using computing resources. The article discusses how these services may reduce digital inequalities by affecting the three levels of the digital divide, namely, access to information and communication technologies (ICTs) (first level), skills and motivations in using ICTs (second level) and capacities in using ICTs to get concrete benefits (third level).
Intrapreneurial behavior, big five personality and individual performance
Authors: Mahmoud Mahmoud Ahmad , Ahmad Shuhymee , Poespowidjojo Donny Abdul Latief 
Published: June 2020

PurposeThe purpose of this paper is to extend the prevailing literature on the relationship between personality and individual performance (IP) through the mediation of intrapreneurial behavior (IB). This study, therefore, integrated the traits theory and the psychological entrepreneurship theory to improve the IP of medium enterprise (ME) managers by examining the mediating role of IB on the relationship between big five personality traits five factor model (FFM) and IP.Design/methodology/approachThe paper used the survey method of data collection, through self-administered questionnaire. Partial least square structural equation modeling method was used to analyze the result of the sample of 355 production/operations managers.FindingsThe result study shows that three big five personality traits (conscientiousness, disagreeableness and emotional stability) have a direct relationship with IB. However, IB positively mediates the relationship between conscientiousness, disagreeableness and emotional stability on IP of production/operation managers.Practical implicationsThe result implies that positive relationship between personality traits (conscientiousness, disagreeableness and emotional stability) and work performance will manifest better, only when the IB is encouraged among managers.Originality/valueTo the best knowledge of the authors, this paper is the first to examine the mediating effect of individual IB on FFM – IP relationship. Studies on IB were also limited especially in developing countries, Africa and specifically Nigeria. As such, individual IB requires the attention of researchers and managers in MEs against the assumption that entrepreneurial orientation is a firm-level activity only.
The effect of experience quality on customer perceived value and customer satisfaction and its impact on customer loyalty
Authors: Kusumawati Andriani , Rahayu Karisma Sri 
Published: June 2020

PurposeTo test the effect of experience quality on customer perceived value and customer satisfaction and its impact on customer loyalty to the visitors of natural nuanced outdoor cafés in the hilly areas of Joyo Agung, Malang.Design/methodology/approachThis study uses four variables, namely experience quality, customer perceived value, customer satisfaction, and customer loyalty. The population used in this research was all customers or visitors who buy and enjoy the products and services provided by the natural outdoor cafés in Malang. This study used structural equation modeling (SEM) as inferential statistical technique.Findings1) Quality experience has a significant effect on customer perceived value, customer satisfaction, and customer loyalty; 2) customer perceived value has a significant effect on customer satisfaction and customer loyalty; and 3) customer satisfaction has a significant effect on customer loyalty.Originality/valueBased on the results of previous research and the phenomenon that has been described previously, the research gaps found in this study are: (1) the relationship between experience quality and customers’ perceived values. (2) There are differences in the relationship between experience quality and customer satisfaction found in the research, which examines the effect of experience quality on customer loyalty. (3) Experience quality and customer loyalty variables still differ in the research concerning the effect of experience quality on customer loyalty. (4) The influence of customer satisfaction and customer loyalty is still different in the research results regarding the effect of customer satisfaction on customer loyalty.