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2.
Applications of Advanced Optimization Techniques in Industrial Engineering ; : 181-190, 2022.
Article in English | Scopus | ID: covidwho-2079586

ABSTRACT

The deadly coronavirus disease 2019 (COVID-19) has been spreading vigorously and has led to a global crisis, with its spread to more than 220 countries and territories. About 153, 504, 608 confirmed cases of the coronavirus COVID-19 that originated from Wuhan, China, and a death toll of 3, 216, 577 deaths as on 3 May 2021. At the time of writing, India is the worst affected country by COVID-19 and the death ratio is increasing day by day. To date we have more than four vaccines available, but social distancing has been identified as the best way to overcome and fight against this disease. In order to ensure social distancing protocols in overcrowded places and workplace, this tool can monitor whether or not people are ensuring a safe distancing protocol from each other by analyzing real-time video streams with the help of a constant camera feed. To keep track of people in various workplaces, factories, and shops we can use this tool to their security camera systems and can monitor whether or not people are keeping a secured distance from one another. This chapter proposes a Machine Learning and Python-based framework for monitoring social distancing using surveillance video with the help of a camera. In this proposed framework, we are utilizing the YOLO v3, an object detection model for separating the foreground details from the background details and OpenCV for tracking the humans by using the bounded boxes and assigning IDs to them. © 2022 selection and editorial matter, Abhinav Goel, Anand Chauhan and A.K. Malik.

3.
Tran, K. B.; Lang, J. J.; Compton, K.; Xu, R. X.; Acheson, A. R.; Henrikson, H. J.; Kocarnik, J. M.; Penberthy, L.; Aali, A.; Abbas, Q.; Abbasi, B.; Abbasi-Kangevari, M.; Abbasi-Kangevari, Z.; Abbastabar, H.; Abdelmasseh, M.; Abd-Elsalam, S.; Abdelwahab, A. A.; Abdoli, G.; Abdulkadir, H. A.; Abedi, A.; Abegaz, K. H.; Abidi, H.; Aboagye, R. G.; Abolhassani, H.; Absalan, A.; Abtew, Y. D.; Ali, H. A.; Abu-Gharbieh, E.; Achappa, B.; Acuna, J. M.; Addison, D.; Addo, I. Y.; Adegboye, O. A.; Adesina, M. A.; Adnan, M.; Adnani, Q. E. S.; Advani, S. M.; Afrin, S.; Afzal, M. S.; Aggarwal, M.; Ahinkorah, B. O.; Ahmad, A. R.; Ahmad, R.; Ahmad, S.; Ahmadi, S.; Ahmed, H.; Ahmed, L. A.; Ahmed, M. B.; Rashid, T. A.; Aiman, W.; Ajami, M.; Akalu, G. T.; Akbarzadeh-Khiavi, M.; Aklilu, A.; Akonde, M.; Akunna, C. J.; Al Hamad, H.; Alahdab, F.; Alanezi, F. M.; Alanzi, T. M.; Alessy, S. A.; Algammal, A. M.; Al-Hanawi, M. K.; Alhassan, R. K.; Ali, B. A.; Ali, L.; Ali, S. S.; Alimohamadi, Y.; Alipour, V.; Aljunid, S. M.; Alkhayyat, M.; Al-Maweri, S. A. A.; Almustanyir, S.; Alonso, N.; Alqalyoobi, S.; Al-Raddadi, R. M.; Al-Rifai, R. H. H.; Al-Sabah, S. K.; Al-Tammemi, A. B.; Altawalah, H.; Alvis-Guzman, N.; Amare, F.; Ameyaw, E. K.; Dehkordi, J. J. A.; Amirzade-Iranaq, M. H.; Amu, H.; Amusa, G. A.; Ancuceanu, R.; Anderson, J. A.; Animut, Y. A.; Anoushiravani, A.; Anoushirvani, A. A.; Ansari-Moghaddam, A.; Ansha, M. G.; Antony, B.; Antwi, M. H.; Anwar, S. L.; Anwer, R.; Anyasodor, A. E.; Arabloo, J.; Arab-Zozani, M.; Aremu, O.; Argaw, A. M.; Ariffin, H.; Aripov, T.; Arshad, M.; Al, Artaman, Arulappan, J.; Aruleba, R. T.; Aryannejad, A.; Asaad, M.; Asemahagn, M. A.; Asemi, Z.; Asghari-Jafarabadi, M.; Ashraf, T.; Assadi, R.; Athar, M.; Athari, S. S.; Null, Mmwa, Attia, S.; Aujayeb, A.; Ausloos, M.; Avila-Burgos, L.; Awedew, A. F.; Awoke, M. A.; Awoke, T.; Quintanilla, B. P. A.; Ayana, T. M.; Ayen, S. S.; Azadi, D.; Null, S. A.; Azami-Aghdash, S.; Azanaw, M. M.; Azangou-Khyavy, M.; Jafari, A. A.; Azizi, H.; Azzam, A. Y. Y.; Babajani, A.; Badar, M.; Badiye, A. D.; Baghcheghi, N.; Bagheri, N.; Bagherieh, S.; Bahadory, S.; Baig, A. A.; Baker, J. L.; Bakhtiari, A.; Bakshi, R. K.; Banach, M.; Banerjee, I.; Bardhan, M.; Barone-Adesi, F.; Barra, F.; Barrow, A.; Bashir, N. Z.; Bashiri, A.; Basu, S.; Batiha, A. M. M.; Begum, A.; Bekele, A. B.; Belay, A. S.; Belete, M. A.; Belgaumi, U. I.; Bell, A. W.; Belo, L.; Benzian, H.; Berhie, A. Y.; Bermudez, A. N. C.; Bernabe, E.; Bhagavathula, A. S.; Bhala, N.; Bhandari, B. B.; Bhardwaj, N.; Bhardwaj, P.; Bhattacharyya, K.; Bhojaraja, V. S.; Bhuyan, S. S.; Bibi, S.; Bilchut, A. H.; Bintoro, B. S.; Biondi, A.; Birega, M. G. B.; Birhan, H. E.; Bjorge, T.; Blyuss, O.; Bodicha, B. B. A.; Bolla, S. R.; Boloor, A.; Bosetti, C.; Braithwaite, D.; Brauer, M.; Brenner, H.; Briko, A. N.; Briko, N. I.; Buchanan, C. M.; Bulamu, N. B.; Bustamante-Teixeira, M. T.; Butt, M. H.; Butt, N. S.; Butt, Z. A.; dos Santos, F. L. C.; Camera, L. A.; Cao, C.; Cao, Y.; Carreras, G.; Carvalho, M.; Cembranel, F.; Cerin, E.; Chakraborty, P. A.; Charalampous, P.; Chattu, V. K.; Chimed-Ochir, O.; Chirinos-Caceres, J. L.; Cho, D. Y.; Cho, W. C. S.; Christopher, D. J.; Chu, D. T.; Chukwu, I. S.; Cohen, A. J.; Conde, J.; Cortas, S.; Costa, V. M.; Cruz-Martins, N.; Culbreth, G. T.; Dadras, O.; Dagnaw, F. T.; Dahlawi, S. M. A.; Dai, X. C.; Dandona, L.; Dandona, R.; Daneshpajouhnejad, P.; Danielewicz, A.; Dao, A. T. M.; Soltani, R. D. C.; Darwesh, A. M.; Das, S.; Davitoiu, D. V.; Esmaeili, E. D.; De la Hoz, F. P.; Debela, S. A.; Dehghan, A.; Demisse, B.; Demisse, F. W.; Denova-Gutierrez, E.; Derakhshani, A.; Molla, M. D.; Dereje, D.; Deribe, K. S.; Desai, R.; Desalegn, M. D.; Dessalegn, F. N.; Dessalegni, S. A. A.; Dessie, G.; Desta, A. A.; Dewan, S. M. R.; Dharmaratne, S. D.; Dhimal, M.; Dianatinasab, M.; Diao, N.; Diaz, D.; Digesa, L. E.; Dixit, S. G.; Doaei, S.; Doan, L. P.; Doku, P. N.; Dongarwar, D.; dos Santos, W. M.; Driscoll, T. R.; Dsouza, H. L.; Durojaiye, O. C.; Edalati, S.; Eghbalian, F.; Ehsani-Chimeh, E.; Eini, E.; Ekholuenetale, M.; Ekundayo, T. C.; Ekwueme, D. U.; El Tantawi, M.; Elbahnasawy, M. A.; Elbarazi, I.; Elghazaly, H.; Elhadi, M.; El-Huneidi, W.; Emamian, M. H.; Bain, L. E.; Enyew, D. B.; Erkhembayar, R.; Eshetu, T.; Eshrati, B.; Eskandarieh, S.; Espinosa-Montero, J.; Etaee, F.; Etemadimanesh, A.; Eyayu, T.; Ezeonwumelu, I. J.; Ezzikouri, S.; Fagbamigbe, A. F.; Fahimi, S.; Fakhradiyev, I. R.; Faraon, E. J. A.; Fares, J.; Farmany, A.; Farooque, U.; Farrokhpour, H.; Fasanmi, A. O.; Fatehizadeh, A.; Fatima, W.; Fattahi, H.; Fekadu, G.; Feleke, B. E.; Ferrari, A. A.; Ferrero, S.; Desideri, L. F.; Filip, I.; Fischer, F.; Foroumadi, R.; Foroutan, M.; Fukumoto, T.; Gaal, P. A.; Gad, M. M.; Gadanya, M. A.; Gaipov, A.; Galehdar, N.; Gallus, S.; Garg, T.; Fonseca, M. G.; Gebremariam, Y. H.; Gebremeskel, T. G.; Gebremichael, M. A.; Geda, Y. F.; Gela, Y. Y.; Gemeda, B. N. B.; Getachew, M.; Getachew, M. E.; Ghaffari, K.; Ghafourifard, M.; Ghamari, S. H.; Nour, M. G.; Ghassemi, F.; Ghimire, A.; Ghith, N.; Gholamalizadeh, M.; Navashenaq, J. G.; Ghozy, S.; Gilani, S. A.; Gill, P. S.; Ginindza, T. G.; Gizaw, A. T. T.; Glasbey, J. C.; Godos, J.; Goel, A.; Golechha, M.; Goleij, P.; Golinelli, D.; Golitaleb, M.; Gorini, G.; Goulart, B. N. G.; Grosso, G.; Guadie, H. A.; Gubari, M. I. M.; Gudayu, T. W.; Guerra, M. R.; Gunawardane, D. A.; Gupta, B.; Gupta, S.; Gupta, V.; Gupta, V. K.; Gurara, M. K.; Guta, A.; Habibzadeh, P.; Avval, A. H.; Hafezi-Nejad, N.; Ali, A. H.; Haj-Mirzaian, A.; Halboub, E. S.; Halimi, A.; Halwani, R.; Hamadeh, R. R.; Hameed, S.; Hamidi, S.; Hanif, A.; Hariri, S.; Harlianto, N. I.; Haro, J. M.; Hartono, R. K.; Hasaballah, A. I.; Hasan, S. M. M.; Hasani, H.; Hashemi, S. M.; Hassan, A. M.; Hassanipour, S.; Hayat, K.; Heidari, G.; Heidari, M.; Heidarymeybodi, Z.; Herrera-Serna, B. Y.; Herteliu, C.; Hezam, K.; Hiraike, Y.; Hlongwa, M. M.; Holla, R.; Holm, M.; Horita, N.; Hoseini, M.; Hossain, M. M.; Hossain, M. B. H.; Hosseini, M. S.; Hosseinzadeh, A.; Hosseinzadeh, M.; Hostiuc, M.; Hostiuc, S.; Househ, M.; Huang, J. J.; Hugo, F. N.; Humayun, A.; Hussain, S.; Hussein, N. R.; Hwang, B. F.; Ibitoye, S. E.; Iftikhar, P. M.; Ikuta, K. S.; Ilesanmi, O. S.; Ilic, I. M.; Ilic, M. D.; Immurana, M.; Innos, K.; Iranpour, P.; Irham, L. M.; Islam, M. S.; Islam, R. M.; Islami, F.; Ismail, N. E.; Isola, G.; Iwagami, M.; Merin, J. L.; Jaiswal, A.; Jakovljevic, M.; Jalili, M.; Jalilian, S.; Jamshidi, E.; Jang, S. I.; Jani, C. T.; Javaheri, T.; Jayarajah, U. U.; Jayaram, S.; Jazayeri, S. B.; Jebai, R.; Jemal, B.; Jeong, W.; Jha, R. P.; Jindal, H. A.; John-Akinola, Y. O.; Jonas, J. B.; Joo, T.; Joseph, N.; Joukar, F.; Jozwiak, J. J.; Jarisson, M.; Kabir, A.; Kacimi, S. E. O.; Kadashetti, V.; Kahe, F.; Kakodkar, P. V.; Kalankesh, L. R.; Kalhor, R.; Kamal, V. K.; Kamangar, F.; Kamath, A.; Kanchan, T.; Kandaswamy, E.; Kandel, H.; Kang, H.; Kanno, G. G.; Kapoor, N.; Kar, S. S.; Karanth, S. D.; Karaye, I. M.; Karch, A.; Karimi, A.; Kassa, B. G.; Katoto, Pdmc, Kauppila, J. H.; Kaur, H.; Kebede, A. G.; Keikavoosi-Arani, L.; Kejela, G. G.; Bohan, P. M. K.; Keramati, M.; Keykhaei, M.; Khajuria, H.; Khan, A.; Khan, A. A. K.; Khan, E. A.; Khan, G.; Khan, M. N.; Ab Khan, M.; Khanali, J.; Khatab, K.; Khatatbeh, M. M.; Khatib, M. N.; Khayamzadeh, M.; Kashani, H. R. K.; Tabari, M. A. K.; et al..
Lancet ; 400(10352):563-591, 2022.
Article in English | Web of Science | ID: covidwho-2068419

ABSTRACT

Background Understanding the magnitude of cancer burden attributable to potentially modifiable risk factors is crucial for development of effective prevention and mitigation strategies. We analysed results from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 to inform cancer control planning efforts globally. Methods The GBD 2019 comparative risk assessment framework was used to estimate cancer burden attributable to behavioural, environmental and occupational, and metabolic risk factors. A total of 82 risk-outcome pairs were included on the basis of the World Cancer Research Fund criteria. Estimated cancer deaths and disability-adjusted life-years (DALYs) in 2019 and change in these measures between 2010 and 2019 are presented. Findings Globally, in 2019, the risk factors included in this analysis accounted for 4.45 million (95% uncertainty interval 4.01-4.94) deaths and 105 million (95.0-116) DALYs for both sexes combined, representing 44.4% (41.3-48.4) of all cancer deaths and 42.0% (39.1-45.6) of all DALYs. There were 2.88 million (2.60-3.18) risk-attributable cancer deaths in males (50.6% [47.8-54.1] of all male cancer deaths) and 1.58 million (1.36-1.84) risk-attributable cancer deaths in females (36.3% [32.5-41.3] of all female cancer deaths). The leading risk factors at the most detailed level globally for risk-attributable cancer deaths and DALYs in 2019 for both sexes combined were smoking, followed by alcohol use and high BMI. Risk-attributable cancer burden varied by world region and Socio-demographic Index (SDI), with smoking, unsafe sex, and alcohol use being the three leading risk factors for risk-attributable cancer DALYs in low SDI locations in 2019, whereas DALYs in high SDI locations mirrored the top three global risk factor rankings. From 2010 to 2019, global risk-attributable cancer deaths increased by 20.4% (12.6-28.4) and DALYs by 16.8% (8.8-25.0), with the greatest percentage increase in metabolic risks (34.7% [27.9-42.8] and 33.3% [25.8-42.0]). Interpretation The leading risk factors contributing to global cancer burden in 2019 were behavioural, whereas metabolic risk factors saw the largest increases between 2010 and 2019. Reducing exposure to these modifiable risk factors would decrease cancer mortality and DALY rates worldwide, and policies should be tailored appropriately to local cancer risk factor burden. Copyright (C) 2022 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license.

4.
Otolaryngology - Head and Neck Surgery ; 167(1 Supplement):P20, 2022.
Article in English | EMBASE | ID: covidwho-2064504

ABSTRACT

Introduction: Due to the upper respiratory nature of COVID- 19 infection, otolaryngologic manifestations of acute disease have become well documented within the literature. However, the long-term sequelae of COVID-19 infection have yet to be completely understood. This study aims to explore ear, nose, and throat complaints of patients who experienced COVID-19 at least 3 months prior and are still symptomatic. Method(s): A retrospective review of previous COVID-19- positive patients who followed up in otolaryngology clinic between March 2020 and January 2022 was performed. Demographics, preexisting comorbidities, date of initial COVID-19 infection, long-haul symptoms, and intubation status were recorded. Result(s): A total 170 patients, 93 male and 77 female, with an average age of 57.2+/-15.0 years (range 23-89) were included in this study. Most of these patients originally contracted COVID-19 from March to May of 2020;therefore, this patient cohort represents a predominately unvaccinated group. Patients followed up in otolaryngology clinic ranging between 3 and 10 months after initial infection. The most common long-haul complaint was dysphonia and dyspnea, followed by voice changes, anosmia and dysgeusia, and reflux. Conclusion(s): This study is the first of its kind to examine long-haul otolaryngologic complaints in previously COVID- 19-positive patients. As millions of people around the world have passed this virus, it is important to identify possible longterm sequelae and encourage specialized follow-up when appropriate. Further studies examining course and management of these symptoms are needed.

6.
13th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics, BCB 2022 ; 2022.
Article in English | Scopus | ID: covidwho-2029544

ABSTRACT

Bio-marker identification for COVID-19 remains a vital research area to improve current and future pandemic responses. Innovative artificial intelligence and machine learning-based systems may leverage the large quantity and complexity of single cell sequencing data to quickly identify disease with high sensitivity. In this study, we developed a novel approach to classify patient COVID-19 infection severity using single-cell sequencing data derived from patient BronchoAlveolar Lavage Fluid (BALF) samples. We also identified key genetic biomarkers associated with COVID-19 infection severity. Feature importance scores from high performing COVID-19 classifiers were used to identify a set of novel genetic biomarkers that are predictive of COVID-19 infection severity. Treatment development and pandemic reaction may be greatly improved using our novel big-data approach. Our implementation is available on https://github.com/aekanshgoel/COVID-19-scRNAseq. © 2022 Owner/Author.

7.
World Journal of Laparoscopic Surgery ; 15(2):145-148, 2022.
Article in English | EMBASE | ID: covidwho-2006311

ABSTRACT

Background: SARS-CoV-2 virus infection was detected and discovered in Wuhan, China, in December 2019, and it was declared a pandemic by WHO in March 2020. Since then a lot of changes were noticed in surgical practice. Various recommendations were released by eminent surgical associations all over the world. This study was designed to study and analyze the findings and experience after resuming elective minimal invasive surgery during the pandemic. Materials and methods: This observational study was conducted at St Joseph’s Hospital, Ghaziabad, from May 2020 to May 2021. Various preoperative and postoperative findings were noticed and analyzed. The presence of SARS-CoV-2 virus was also analyzed in endotracheal aspirate and surgical smoke. Observation and results: A total of 287 cases underwent surgery. Most commonly performed surgery was laparoscopic cholecystectomy. The positivity rate for SARS-CoV-2 during preoperative work-up was 2.87%. Slightly more than 5% of cases in postoperative period had COVID-19-like symptoms. None of those patients were found positive on RT-PCR, and X-ray/CT findings were also suggestive of early postoperative changes only. Presence of SARS-CoV-2 virus was not detected in either endotracheal aspirate or surgical smoke. Neither surgery team nor OT staff had infection during this period. There was no mortality, and only 1 patient was found to be infected 2 weeks after discharge. Conclusion: Minimal invasive surgery for elective cases can be safely performed by taking precautions like PPE and smoke evacuation system during the COVID-19 pandemic. There is no evidence of transmission of infection through endotracheal aspirate or surgical smoke.

8.
Specialusis Ugdymas ; 1(43):1568-1580, 2022.
Article in English | Scopus | ID: covidwho-1970595

ABSTRACT

India is on the path of Digital India, FII and DII’s in the country boost the country’s economy. Both FII and DII have dominant role in capital formation which assists in assets formation along with investments in the stock market form of trading of various securities. FII funds a capital sources in India from foreign countries, affect the financial system and boost the economical growth. During pandemic, covid -19 the Indian economy has faced severe changes which affected the DII and FDI funds too. The research paper points on the changes in the FII and DII funds due to pandemic with reference to increase in covid cases. Design/Methodology/Approach-The paper employs quantitative approach have exploratory research design. The secondary has been collected from authorized government sites i.e. www.moneycontrol.com & www.statista.com for infusion of FII and DII funds in India and data sheet of COVID-19 cases in India( January 2020 to December 2020). Furthermore, for analyze of data SPSS version 20 has been used. Correlation & regression and ANOVA;Statistical techniques have been applied to reach the findings. The findings exhibits that there has been a significant changes in FII and DII during the COVID first wave period as compared to the pre COVID. Being FII and DII are very important for any countries economy, therefore studying the same and especially for the COVID period is highly essential from the Future perspective. This paper is original as till date no study has been conducted in detail to study the pattern and impact of FII and DII during the COVID times. © 2022. Specialusis Ugdymas. All Rights Reserved.

9.
Journal of Hepatology ; 77:S49-S50, 2022.
Article in English | EMBASE | ID: covidwho-1967493

ABSTRACT

Background and aims: A global study with equitable participation for cirrhosis and chronic liver disease (CLD) outcomes is needed. We initiated the Chronic Liver disease Evolution And Registry for Events and Decompensation (CLEARED) study to provide this global perspective. Aim to evaluate determinants of inpatient mortality and organ dysfunction in a multi-center worldwide study. Method: We prospectively enrolled pts with CLD/Cirrhosis >18 years without organ transplant or COVID-19 who were admitted non-electively. To maintain equity in outcome analysis, a maximum of 50 pts/site were allowed. Data for admission variables, hospital course, and inpatient outcomes (ICU, death, organ dysfunction [ODF]) were recorded. This was analyzed for death and ODs using significant variables on admission and including World Bank classification of low/middle-income countries (LMIC). A model for in-hospital mortality for all variables during the hospital course, including ODs) was analyzed. Results: 1383 pts (55 ± 13 yrs, 64% men, 39% White, 30% Asian, 10% Hispanic, 9% Black, 12% other) were enrolled from 49 centers (Fig A). 39% were from high-income while the rest were from LMICs. Admission MELDNa 23 (6–40) with history in past 6 months of hospitalizations 51%, infections 25%, HE 32%, AKI 23%, prior LVP 15%, hydrothorax 8% and HCC 4%. Leading etiologies were Alcohol 46% then NASH 23%, HCV 11% and HBV 13%. Most were on lactulose 52%, diuretics 53%, PPI 49% and statins 11%, SBP prophylaxis 16%, beta-blockers 35% and rifaximin 31%. 90% were admitted for liver-related reasons;GI bleed 30%, HE 34%, AKI 33%, electrolyte issues 30%, anasarca 24% and 25% admission infections. In-hospital course: Median LOS was 7 (1–140) days with 25% needing ICU. 15% died in hospital, 3% were transplanted, 46% developed AKI,15% grade 3–4 HE, 14% shock, 13% nosocomial infections and 13% needed ventilation. Logistic Regression: Fig B shows that liver-related/unrelated factors on admission which predicted in-hospital mortality and development of organ dysfunction with MELDNa and Infections being common among all models. Nosocomial infections and organ dysfunctions predicted mortality when all variables were considered. High-income countries had better mortality outcomes likely due to transplant and ICU availability. AUCs were >0.75 (Figure Presented) Conclusion: In this worldwide equitable experience, admission cirrhosis severity and infections are associated with inpatient outcomes, which are greater in low-income settings. Liver-related and unrelated factors and regional variations are important in defining critical care goals and outcome models in inpatients with cirrhosis.

10.
Engineering, Construction and Architectural Management ; 2022.
Article in English | Scopus | ID: covidwho-1861040

ABSTRACT

Purpose: Access to unbiased self-reported (primary) data for a normative concept like social sustainability has been a challenge for construction project management (CPM) scholars, and this difficulty has been further amplified by the ongoing COVID-19 pandemic. This paper aims to address this issue by asserting the suitability of secondary data as a methodologically sound but underutilized alternative and providing directions for secondary data-based research on social sustainability in a project setting. Design/methodology/approach: By drawing on a framework for social sustainability and using “project-as-practice” approach as its point of departure, this conceptual paper identifies possibilities for utilizing multiple secondary sources in CPM research. Findings: The paper provides a roadmap for identification of secondary sources, access to data, potential research designs and methods, limitations of and cautions in using secondary sources, and points to many novel lines of empirical enquiries to stimulate secondary data-based research on social sustainability in CPM. Social implications: Indicated secondary sources and empirical opportunities can support research efforts that aim to promote societal welfare through construction projects. Originality/value: The presented guidance will assist researchers in identifying, accessing and utilizing naturalistic, secondary data for designing and conducting empirical research that cuts across social sustainability and CPM. This, in turn, will facilitate methodological pluralism and “practice turn” in such research endeavors. © 2022, Emerald Publishing Limited.

11.
National Journal of Maxillofacial Surgery ; 13(1):20-26, 2022.
Article in English | Scopus | ID: covidwho-1847495

ABSTRACT

The first case of pneumonia of unknown origin was identified in Wuhan, the capital city of Hubei province situated in the Republic of China. The pathogenic organism that has been identified as a causative organism is a novel enveloped RNA betacoronavirus which has been designated as’ severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2). This virus has been found to have a similar phylogeny to SARS-CoV. The novel Coronavirus or COVID-19 can be symptomized through clinical manifestations like-Pyrexia or fever, Cough, Dyspnea/ difficulty in breathing, Myalgia/muscle pain, and constant fatigue. In the later stages, these symptoms worsen leading to severe pneumonia, acute respiratory distress syndrome, sepsis, and multiple organ failure. These days, this pandemic is emerging as a major threat for dental health-care professionals. The dental surgeons are at greater risk of novel coronavirus infections due to direct contact with infected patients and exposure to contaminated blood, saliva, and other body fluids. This article deals with viral structure, clinical symptoms, and modes of transmission, recommended measures to prevent its spread in dental operatories. © 2022 National Journal of Maxillofacial Surgery.

12.
2021 International Conference on Computational Performance Evaluation, ComPE 2021 ; : 598-603, 2021.
Article in English | Scopus | ID: covidwho-1831736

ABSTRACT

This COVID-19 pandemic has overburdened the government and the healthcare system of many countries around the world. It has brought up the need for a fast and accurate diagnosing method. Artificial intelligence (AI) is having a notable role in different aspects of the pandemic- contact tracing, epidemiology, medical diagnosis and prognosis, and drug development. Deep learning has found its application in the diagnosis of COVID-19 chest X-rays (CXR) using convolution neural nets. Many architectures have been used and transfer learning is the most preferred approach. These models have proven to be fast and accurate in COVID-19 diagnosis. However, one key element that has prevented the use of AI in clinical practice is its lack of transparency and explainability. In this paper, we use the ResNet-50 pre-trained model for classifying the CXR of COVID-19 patients from pneumonia and normal patients. We then use explainability algorithms to visualize the model features and verify the explainability of the model. © 2021 IEEE.

13.
5th International Conference on Information Systems and Computer Networks, ISCON 2021 ; 2021.
Article in English | Scopus | ID: covidwho-1759106

ABSTRACT

Artificial Intelligence in medical sciences is a boon assisting the practitioners while channelizing treatments at faster rates. It has a great impact on various organization in human medicine and completely modifies the traditional model of diagnosis and treatment. It is a promising technique, and its application in the creation of a diagnosis system for various diseases has been widely used in the contemporary world. AI-based image analyzers and decision-making systems are two examples of AI's contributions to contactless diagnosis in suspected patients. The AI is time-saving and accuracy helps in getting things done before the situation gets worsen especially in times where the world is fighting with a pandemic in face of COVID-19. In COVID-19 telemedicine has also played a crucial role in reducing the comorbid situations of the patients. Medical artificial intelligence has made much significant advances to serve humankind and is referred to as science for the future. © 2021 IEEE.

14.
9th International Conference on Strategic Innovative Marketing and Tourism, ICSIMAT 2020 ; : 211-221, 2021.
Article in English | Scopus | ID: covidwho-1750463

ABSTRACT

The unprecedented COVID-19 pandemic has set a massive impact on the tourism industry through border closures, lockdowns and collapse of air travel. This conceptual research focuses on how tourism destinations strive to manage the health crisis and promote tourism amidst COVID-19. To achieve this, it analyses health crisis management in previous pandemic like situations, through the measures and problems that were dealt with as lessons learnt;highlights the impacts of COVID-19;identifies current practices and challenges of selected countries such as USA, Italy, Singapore, Japan, Greece, China, and Spain. Countries chosen for this research are either reliant on tourism or have dealt with the pandemic in many ways resulting in altered numbers of cases and deaths. The study adopts a qualitative approach, in analysing data derived from different sources such as official websites, social media campaigns, news and destination press releases on governmental actions of different countries and literature related to crisis management. Firstly, by identifying responses and measures taken to plan, support and promote tourism amidst COVID-19. Followed by thematically analysis using pre-decided themes of ‘good practices and challenges’ for tourism. The findings indicate the different good practices adopted by governments in assisting to manage this crisis and promoting the destinations through several campaigns to revive. It highlights challenges in planning, development and promotion amidst COVID-19 and proposes an integrated strategy for better crisis management. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.

16.
Acta Phlebologica ; 22(3):105-108, 2021.
Article in English | Web of Science | ID: covidwho-1687744

ABSTRACT

Coagulation abnormalities are common sequelae of the novel severe acute respiratory syndrome Coronavirus 2 (SARS-CoV-2), frequently associated with an increased incidence of thrombotic cardiovascular complications. Herein, we describe the case of a 46-year-old man who presented with COVID-19 pneumonia, and later developed extensive deep vein thrombosis (DVT) of left lower limb despite of prophylactic antithrombotic treatment, which was managed successfully with endovenous intervention.

17.
Med Intensiva ; 46(11): 648-650, 2022 Nov.
Article in English | MEDLINE | ID: covidwho-1611915
18.
British Journal of Surgery ; 108(SUPPL 6):vi176, 2021.
Article in English | EMBASE | ID: covidwho-1569610

ABSTRACT

Aim: Leeds Neurosurgery receives referrals as a tertiary centre from a cohort covering 3 million people, receiving over 9000 referrals in the last year via its online system, Patientpass. This audit aims to identify factors which leads to delays in surgery, especially in light of the COVID-19 pandemic. Method: We looked at 760 patients who were included in the study and used the electronic clinical notes system, PPM+ and also the electronic referral system Patientpass and looked at weekday and date of admission, cranial/spinal admission, diagnosis, age, referring hospital, time taken in theatre, theatre used, intraoperative timings, length of stay and date of discharge. Results: The majority of the cases were either vascular or trauma related. 77.2% of surgeries were either same day or within 24 hours. The average length of stay was 17 days. The average time in theatre, 2h11m. The designated acute theatres were used approximately 75% of the time. Conclusions: Interestingly, the mean time from admission to theatre was 1.25 days. 225 cases were investigated as a sample randomly selected. It is identified that 30 cases were delayed. 20% were delayed due to imaging requested for surgical management. 6% were due to patients awaiting consultant review. 10% due to awaiting other investigation results (i.e., COVID swab.) There were other identifiable factors such as awaiting 'hot' theatres, reversing coagulopathies and medically deteriorating patients. We have provisionally identified factors and will re-audit this in the next cycle in order to maximise efficiency.

19.
British Journal of Surgery ; 108:172-172, 2021.
Article in English | Web of Science | ID: covidwho-1539546
20.
Hepatology ; 74(SUPPL 1):319A-320A, 2021.
Article in English | EMBASE | ID: covidwho-1508699

ABSTRACT

Background: Liver Transplant recipients have an increased susceptibility to SARS CoV2 infection with a possible more severe disease course. There is paucity of data of SARSCoV2 infection in this cohort from Asia. We report on the data of an on-going APCOLIS-1 (APASL Liver Injury Spectrum, APCOLIS) registry with the aim to define the profile, risk factors for severity and predictors of survival among the liver transplant recipients. Methods: In a multinational study, data was recorded between April 2020 to May 2021 across 13 countries in Asia. The data was compiled on a survey monkey under the APASL COVID-19 study task force [NCT04345640]. We performed multivariate logistic regression to identify independent predictors of severity and all cause mortality among the liver transplant (LT) recipients suffering from COVID-19. Results: Altogether, 130 LT recipients were enrolled [mean age 53 ± 12 years, median post-transplant period, 54 months (range 2-77 months)]. Majority (92, 71% ) of the patients had undergone live-donor transplant. Severe COVID was seen in 21/130 (16%) and 17/130 (13%) required ICU care. COVID related organ failures (OF) were seen in 17 patients (13%), predominantly as respiratory (16/21, 76.2%) followed by renal (9/21, 42.8%) and circulatory (5/21, 23.8%) with ventilatory requirement in 12/21 (57.1%) of the severe cases. Among the baseline parameters age [HR=1.08, 95CI 1.01-1.16, p=0.03], presentation with dyspnea [HR=6.34, 95CI 1.78-22.9, p=0.004] and Neutrophil to Lymphocyte ratio (NLR) [HR=1.08, 95CI 1.01-1.17, p=0.04] independently predicted a severe course of the COVID-19 among LT recipients. The baseline NLR of 8.47 ± 1.45 peaked to 17.94 ± 3.68 in median of 15 days (range 1-37) among severe cases [p<0.001] indicating rapid progression of disease. Age above 55 years increased the disease severity with AUROC of 0.78, sensitivity of 72.7% and specificity of 74.8%. Time from LT, immunosuppression dosage or presence of co-morbidities did not influence the outcome. Graft dysfunction was seen in 21/130 (16%);predominantly as acute cellular rejection in 13/130 (10%) and graft failure 7/130 (5%). The all cause mortality was 8% (11/130). Among non-survivors, the baseline NLR of 4.88 ± 1.63 increased to a peak value of 25.14 ± 5.49 [p<0.001] i.e 5 folds. The baseline NLR [HR=1.17, 95CI 1.03-1.34, p=0.02], development of graft injury [HR=27.21, 95CI 2.55-290., p=0.006] and COVID related OF [ HR=21.87, 95CI 2.39-203.85, p=0.007] independently predicted mortality due to SARSCoV2 infection. Conclusion: COVID-19 infection precipitates a severe disease course in one fifth of the liver transplant recipients, leading to graft dysfunction and early mortality. LT recipients above 55 years of age, presenting with dyspnea and high NLR need to be specifically watched for a progressive disease course. Dynamic NLR determination can help in early stratification and referral to a specialized liver unit to improve outcomes.

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