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1.
Orphan Crops for Sustainable Food and Nutrition Security: Promoting Neglected and Underutilized Species ; : 43-57, 2021.
Article in English | Scopus | ID: covidwho-2100095

ABSTRACT

Bioversity International and the International Fund for Agricultural Development (IFAD) have recently published an operational framework to guide practitioners on ways to mainstream neglected and underutilized species (NUS) into projects and investment programs with the aim of supporting nutrition-sensitive agriculture and resilient food production systems. This chapter presents the key elements of this framework and offers reflections on its implementation following Bioversity International’s innovative holistic value-chain approach, which, through interdisciplinary, bottom-up and gender-sensitive interventions, aims at strengthening the resilience of livelihoods as a whole, with special attention given to women, youth, Indigenous Peoples and other marginalized members of society. Actions meant to increase the use of NUS to strengthen the resilience of communities in the face of the recent COVID-19 pandemic are also proposed. © 2022 selection and editorial matter, Stefano Padulosi, E.D. Israel Oliver King, Danny Hunter and M.S. Swaminathan.

2.
Navigating Students' Mental Health in the Wake of COVID-19: Using Public Health Crises to Inform Research and Practice ; : 75-97, 2022.
Article in English | Scopus | ID: covidwho-2066976
3.
1st International Conference on Computing, Communication and Green Engineering, CCGE 2021 ; 2021.
Article in English | Scopus | ID: covidwho-1901429

ABSTRACT

One of the most remarkable changes in the academic Diaspora is the international creation of virtual platforms, which has given rise to a new edge system of learning. Covid-19 presents a unique and severe problem on every front. The nationwide shutdown by the administration aims to control the diffusion of Covid-19 at education institutions across the country. Many (local, national, and worldwide) institutions have implemented a reliable and beneficial contactless atmosphere for students and faculties to maintain the continuity of learning. As a result, teachers and students are greatly influenced by the new-age virtual teaching method adopted and implemented. The survey respondents were picked by a combination of online surveys and personality tests, and then the questionnaire they were given included both closed- and open-ended items. The numbers of university and secondary school portals have recently seen an upward trend. So, to better investigate the abilities of teachers and learners to identify the efficiency of dominating content delivery methods, a hybrid approach of the exploratory study was employed. Students and faculty, 140 each who have taken web-based learning at 25 Indian institutions, are sampled using a snowball sampling methodology. The results of the t-test demonstrated a considerable divergence in teaching-learning impressions between faculty and students on three manifests ($\mathrm{p} < 0.005$). Learners' responses differed from faculty responses, and statistically significant differences were found, such as scientific material can be taught effectively online, improved technocratic pedagogy is the core part of e-learning, reliance on computers/connectivity. © 2021 IEEE.

4.
1st International Conference on Technologies for Smart Green Connected Society 2021, ICTSGS 2021 ; 107:4327-4335, 2022.
Article in English | Scopus | ID: covidwho-1874779

ABSTRACT

This research paper is based on a fieldwork project, undertaken by the group of volunteer students in collaboration with Indian Development for Human Care (IDHC society), India. Slums are a global phenomenon that may be witnessed in nearly any city on the planet. Children from low-income families who live in slums are deprived of numerous essential facilities that non-slum children enjoy in general, therefore they require special attention. We as a team started the research by understanding the work and establishing good relationships with the staff and students to comprehend the way of their working in a better way. We were introduced to the youngsters with whom we will be working for their better future. We started by teaching them basic English, mathematics, basic habits, personal hygiene;we decided to plant trees as a good environment is necessary for our well-being, in this research work we spread awareness in our neighborhood regarding planting trees and keeping the surroundings clean. Also, spread awareness regarding Covid-19 to underprivileged children. © The Electrochemical Society

5.
Journal of Allergy and Clinical Immunology ; 149(2):AB97-AB97, 2022.
Article in English | Web of Science | ID: covidwho-1798303
6.
3rd International Conference on Advances in Computing, Communication Control and Networking, ICAC3N 2021 ; : 2047-2051, 2021.
Article in English | Scopus | ID: covidwho-1774601

ABSTRACT

Coronavirus, a lung infection disease 2019 (COVID-19), is a sickness that is happening because of a virus, which is now also known as SARS-CoV-2 (Acute Respiratory Syndrome Coronavirus-2 COVID) was initially found in the city of China, named Wuhan. WHO was reported about COVID-19 disease on December 31st, year 2019.On January 30th, 2020, the WHO declared this outbreak a health emergency on a global level. On March 11th, 2020, it was announced as a worldwide pandemic by the World Health Organization. Coronavirus can trigger a tract infection. It affects a human being's respiratory tract-both lower or upper or both. In this research, we have proposed a rapid detection system for noticing COVID 19 disease in its early stages by using images of radiography(chest). Our model differentiates between two types of images, standard (non-COVID) and COVID infected. Since the images used for the training part for COVID infection are limited, we have used the Data Augmentation technique. Data Augmentation is a phenomenon that expands the dimensions of a dataset by producing altered versions of these images. This approach has proved to increase the efficiency of the model. © 2021 IEEE.

7.
Educational Practices during the COVID-19 Viral Outbreak: International Perspectives ; : 181-198, 2020.
Article in English | Scopus | ID: covidwho-1755907
8.
10th IEEE International Conference on Communication Systems and Network Technologies, CSNT 2021 ; : 136-140, 2021.
Article in English | Scopus | ID: covidwho-1700084

ABSTRACT

Aim of this paper is to identify the key issues discussed among the people on Twitter using machine learning and NLP techniques regarding COVID-19. One of the most important way to produce these insights is Automatic Keyword Extraction. It is a method to obtain the most important words from the text by summarizing thus providing an insight into the whole context. Text Summarization is the process to condense the content without the loss of significant data. This paper applies a hybrid model of graph-based and topic modeling approaches to extract keywords from a large dataset of approximately 1 million tweets. © 2021 IEEE.

9.
Journal of Applied Biotechnology Reports ; 8(3):242-253, 2021.
Article in English | Scopus | ID: covidwho-1498357

ABSTRACT

Introduction: Coronaviruses are significant pathogens of both human and animals and are globally distributed. Out of seven CoVs strains, the most lethal coronavirus strains being portrayed is SARS-CoV-2. It can cause bronchial asthma, and severe pneumonia and acute respiratory disease. Due to its contagion in infants, adults, and immunocompromised patients which further results in making this a deadly disease, thus there is an urgent need to develop effective and safe therapeutics against it. Materials and Methods: Meta-analysis of publicly available gene expression datasets belonging to SARS-CoV-2, SARS-CoV, MERS-CoV and HCoV-229E were carried out to identify the potential differentially expressed genes exclusively associated with SARS-CoV-2 and then a network model was developed to decipher significant drug targets, associated pathways and drug candidates which can be repurposed for this infection. Results: The COVID-19 infection mainly targets immune responses and regulatory processes. A novel role of Relaxin signaling pathway was identified in SARS-CoV-2 infection. Anti-inflammatory, anti-tumor, nutraceutical and anthelmintic agents were found to be good prospective candidates for repurposing against COVID-19. Conclusions: This theoretical study resulted in the identification of approved drug targets that may have the potential to be repurposed for COVID 19 treatment. © 2021 The Author(s).

10.
Journal of Indian Association for Child and Adolescent Mental Health ; 17(4):85-99, 2021.
Article in English | EMBASE | ID: covidwho-1456754

ABSTRACT

Background: In the year 2020, the COVID-19 pandemic created havoc in people's lives across the entire world. The pandemic created fear and uncertainty, and Lockdowns were enforced for containment of the disease, impacting the general population's mental well-being as well. The dearth of studies on the subject, particularly on Children and adolescents, creates a vacuum of information which hinders the strategy formulation for effective handling of such issues. Aim: The research aimed to study the psychological impact of Lockdown on children & adolescents in tier 2 city of India. Methods: The study was conducted through online surveys in the city of Jaipur in Rajasthan state of India using the Snowball sampling technique. The Study group included children between the age of 6 to 16 years and assessment of the mental well-being of the participants were done using Short Mood &Feeling Questionnaire (SMFQ). Result: A total of 301 valid responses were received, from which 38 (12.22%) children scored high on SMFQ wherein female adolescents scored higher than males. A total of 10 out 21 children with a history of medical illness scored high on SMFQ and a total of 2 out of 4 children with a past history of psychiatric illness scored high on SMFQ. The data analysis revealed that most of the children struggled with feelings of restlessness, fatigue, unhappiness, and difficulty in concentration. Conclusion: Lockdown has affected mental well-being of both children and adolescents. The impact was observed equally in both groups wherein those with psychiatric history were affected more than others in the 6-11 years age group (Children) and those with medical history were affected more than others in the 11-16 years age group (Adolescents). Immediate attention is needed for alleviation of mental burnout in children and adolescents considering already inadequate interventions in the matter and the ongoing nature of the pandemic.

11.
PLoS ONE ; 16(2), 2021.
Article in English | CAB Abstracts | ID: covidwho-1410575

ABSTRACT

The rapid emergence of coronavirus disease 2019 (COVID-19) as a global pandemic affecting millions of individuals globally has necessitated sensitive and high-throughput approaches for the diagnosis, surveillance, and determining the genetic epidemiology of SARS-CoV-2. In the present study, we used the COVIDSeq protocol, which involves multiplex-PCR, barcoding, and sequencing of samples for high-throughput detection and deciphering the genetic epidemiology of SARS-CoV-2. We used the approach on 752 clinical samples in duplicates, amounting to a total of 1536 samples which could be sequenced on a single S4 sequencing flow cell on NovaSeq 6000. Our analysis suggests a high concordance between technical duplicates and a high concordance of detection of SARS-CoV-2 between the COVIDSeq as well as RT-PCR approaches. An in-depth analysis revealed a total of six samples in which COVIDSeq detected SARS-CoV-2 in high confidence which were negative in RT-PCR. Additionally, the assay could detect SARS-CoV-2 in 21 samples and 16 samples which were classified inconclusive and pan-sarbeco positive respectively suggesting that COVIDSeq could be used as a confirmatory test. The sequencing approach also enabled insights into the evolution and genetic epidemiology of the SARS-CoV-2 samples. The samples were classified into a total of 3 clades. This study reports two lineages B.1.112 and B.1.99 for the first time in India. This study also revealed 1,143 unique single nucleotide variants and added a total of 73 novel variants identified for the first time. To the best of our knowledge, this is the first report of the COVIDSeq approach for detection and genetic epidemiology of SARS-CoV-2. Our analysis suggests that COVIDSeq could be a potential high sensitivity assay for the detection of SARS-CoV-2, with an additional advantage of enabling the genetic epidemiology of SARS-CoV-2.

12.
Indian Journal of Community Health ; 33(2):368-372, 2021.
Article in English | Scopus | ID: covidwho-1395864

ABSTRACT

Introduction: COVID-19 has prevented many patients from accessing health care through traditional face-to-face clinic visits. Consequently, online consultations have gained popularity. Aim: To explore patient perceptions regarding virtual consultations. Methods: A voluntary online survey using a mix of quantitative and qualitative questions was administered to patients across selected cities in India using a social media platform. Responses were used to explore the characteristics of users, perceived advantages and disadvantages of online consultations and patient satisfaction. Results: There were 679 respondents (M 52.4%: F 47.6%) that had consulted doctors online;91.8% were from 8 major metro cities. Interestingly, over 80% had never sought online consultation before the COVID-19 pandemic. 46% consultations were via videocalls, 26% through WhatsApp and 21% via telephone calls. The main advantages of online consultations cited by patients included a lower risk of infection (78.8%), reduced waiting time (56.8%) and travel time (58.3%). The main disadvantages included a lack of physical examination (73.4%), a perception that this was not as satisfying as a face-to face consultation (37.9%) and difficulty in communication (24.5%). 78.6% patients rated their online consultations as either good or very good. However, given the choice, almost two-thirds felt they would still prefer face-face consultations. Conclusion: High levels of satisfaction from this survey suggests that teleconsultation has the potential to become a complementary method to access clinical care even after restrictions from the pandemic cease. The disadvantages of online consultations could be mitigated through evolving technologies such as digital stethoscopes and improvement in communication tools. © 2021, Indian Association of Preventive and Social Medicine. All rights reserved.

13.
Annals of the Academy of Medicine, Singapore ; 50(3):264-266, 2021.
Article in English | MEDLINE | ID: covidwho-1184234
14.
Indian Journal of Medical Specialities ; 11(4):180-184, 2020.
Article in English | Web of Science | ID: covidwho-1024734

ABSTRACT

Background: The coronavirus disease-2019 (COVID-19) outbreak, first detected in Wuhan, China, has turned into a rapidly spreading pandemic ailing the human race throughout the world. Health-care workers (HCWs) are under immense physical and psychological pressure, adversely affecting their efficiency and decision making. Aim: We hereby intend to study the impact of COVID-19 pandemic in HCWs in reference with a variety of factors. Materials and Methods: A nationwide cross-sectional online study using semi-structured pro forma along with the Adjustment Disorder New Module and the Depression, Anxiety, and Stress Scale-21 was conducted among 200 respondents. Results and Discussion: Of the 200 respondents, 174 (87%) were doctors and 26 nursing staff, with a mean age of 42.1 +/- 12.2 years, 62% were male, and 63% were working in the government sector. A significant number of respondents were found to be suffering from acute stress (9.5%), depression (17%), and anxiety (19.5%) which they attributed to the negative professional and personal influence of this ongoing pandemic scenario. HCWs on the front lines of this pandemic are facing compounding stressors and need robust psychiatric help to adequately take care of this need.

15.
American Journal of Clinical Pathology ; 154(3):425-426, 2020.
Article in English | Web of Science | ID: covidwho-964185
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