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1.
1st International Conference on Advances in Computational Science and Engineering, ICACSE 2020 ; JOUR, 2519.
Article in English | Scopus | ID: covidwho-2096925

ABSTRACT

Social media is a place where vast data is continually generated. These days news first surfaces on micro blogs before it pass to major media outlets. Micro blogging websites are rich sources of information, and Twitter is one of the micro blogging interfaces. Twitter is also much used to share information with other social network users. Event detection systems based on Twitter can get information from a huge number of tweets posted by users. It is among the main reasons Twitter is considered an effective source of data as it can provide substantial near real-time data to identify incidents. However, it also creates a low perception problem;this means that systems fail to identify events correctly if too much false information is included, which is called rumor. Rumor can be characterized as a proclamation whose real or true value is unverifiable or intentionally false. Rumor detection has recently been studied to allow for accurate event detection. Rumors can propagate to millions of users quickly without fact-checking, and it may cause significant harm. More precisely, the current technique detects rumors by identifying and analyzing the content of the tweet, retweets count, sentiment of the tweet, follower count, etc., from the Twitter metadata, which can be useful for classifying it as rumor or non-rumor. A systematic literature review of existing research work on various machine learning techniques for misinformation detection was carried out to arrive at the optimal approach that can be taken for the paper. In this paper, tweets during the Covid-19 situation have been taken into account for misinformation detection. In this research, a two-way approach has been taken to classify Twitter messages (Tweets) as rumor or non-rumor related. The first approach is text-based analysis, while the other is media-based analysis. For the first approach, different machine learning classifiers were performed and evaluated based on the F1-score. In the second approach, tweets containing images are extracted for Web Detection using Robotic Process Automation. In this, Google Cloud Vision is used to match specified images with the images on the web to find their original or multiple sources and, thereby, authenticity. In this way, text-based and media-based messages containing falsified details can be detected. © 2022 Author(s).

2.
Expert Rev Vaccines ; : 1-16, 2022 Nov 11.
Article in English | MEDLINE | ID: covidwho-2097134

ABSTRACT

INTRODUCTION: COVID-19 vaccines have been highly effective in reducing morbidity and mortality during the pandemic. However, the emergence of the Omicron variant and subvariants as the globally dominant strains have raised doubts about the effectiveness of currently available vaccines and prompted debate about potential future vaccination strategies. AREAS COVERED: Using the publicly available IVAC VIEW-hub platform, we reviewed 52 studies on vaccine effectiveness (VE) after booster vaccinations. VE were reported for SARS-CoV-2 symptomatic infection, severe disease and death and stratified by vaccine schedule and age. In addition, a non-systematic literature review of safety was performed to identify single or multi-country studies investigating adverse event rates for at least two of the currently available COVID-19 vaccines. EXPERT OPINION: Booster shots of the current COVID-19 vaccines provide consistently high protection against Omicron-related severe disease and death. Additionally, this protection appears to be conserved for at least 3 months, with a small but significant waning after that. The positive risk-benefit ratio of these vaccines is well established, giving us confidence to administer additional doses as required. Future vaccination strategies will likely include a combination of schedules based on risk profile, as overly frequent boosting may be neither beneficial nor sustainable for the general population.

3.
Lancet Global Health ; 10(4):E579-E584, 2022.
Article in English | Web of Science | ID: covidwho-2068460

ABSTRACT

The COVID-19 pandemic has underscored the need to strengthen national surveillance systems to protect a globally connected world. In low-income and middle-income countries, zoonotic disease surveillance has advanced considerably in the past two decades. However, surveillance efforts often prioritise urban and adjacent rural communities. Communities in remote rural areas have had far less support despite having routine exposure to zoonotic diseases due to frequent contact with domestic and wild animals, and restricted access to health care. Limited disease surveillance in remote rural areas is a crucial gap in global health security. Although this point has been made in the past, practical solutions on how to implement surveillance efficiently in these resource-limited and logistically challenging settings have yet to be discussed. We highlight why investing in disease surveillance in remote rural areas of low-income and middle-income countries will benefit the global community and review current approaches. Using semi-arid regions in Kenya as a case study, we provide a practical approach by which surveillance in remote rural areas can be strengthened and integrated into existing systems. This Viewpoint represents a transition from simply highlighting the need for a more holistic approach to disease surveillance to a solid plan for how this outcome might be achieved.

4.
Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology ; 2022.
Article in English | EuropePMC | ID: covidwho-2057585

ABSTRACT

Objective SARS‐CoV‐2 infection in pregnancy is associated with increased risk of adverse maternal and perinatal outcomes including preterm birth, pre‐eclampsia, stillbirth, admission to intensive care unit and death. Vaccines are highly effective in preventing severe COVID‐19, however there are limited data on COVID‐19 vaccines in pregnancy. This study aimed to investigate the reactogenicity and immunogenicity of the COVID‐19 vaccine in pregnant women when given using the UK's extended 12‐week interval schedule. Methods This was a cohort study of pregnant women receiving COVID‐19 vaccination between January and September 2021. The primary outcome was immunogenicity and reactogenicity after COVID‐19 vaccination in pregnant women. Pregnant women were recruited by phone, email and text. They were vaccinated according to vaccine availability at their local vaccination hub and blood samples were taken at specific time points after each vaccine for nucleoprotein (N) and spike protein (S) antibodies. The comparator group comprised non‐pregnant female healthcare workers in the same age‐group who were vaccinated as part of the national immunization programme in a contemporaneous longitudinal cohort study. Association of variables with antibody levels was assessed using linear regression analysis after log‐transforming antibody levels. Reactogenicity assessment in pregnant women was undertaken using an online questionnaire. The comparator group comprised non‐pregnant women aged 18‐49 years who had received two vaccine doses in primary care. The association of pregnancy status with reactogenicity was assessed using logistic regression analysis. Results Overall 67 pregnant women including 66 who had received an mRNA vaccine and 50 non‐pregnant women were included in the immunogenicity study. Most pregnant women (61.2%) received the vaccine in the third trimester, while 3.0% received it in their first and 35.8% in the second trimesters. SARS‐CoV‐2 S‐antibody GMCs after mRNA vaccination were not significantly different at 2‐6 weeks after the first dose but were significantly lower at 2‐6 weeks after the second dose of vaccine in infection‐naïve pregnant compared to non‐pregnant women. In pregnant women, prior infection was associated with higher antibody levels compared to infection‐naïve women at 2‐6 weeks after both vaccine doses. The reactogenicity analysis included 108 pregnant women and 116 non‐pregnant women. After the first dose, tiredness and chills were reported less commonly in pregnant women when compared to non‐pregnant women (P=0.043 and P=0.029, respectively). After the second dose feeling generally unwell was reported less commonly (P=0.046) in pregnant women when compared to non‐pregnant women. Conclusions Using an extended 12‐week interval between vaccine doses, antibody responses after 2 doses of mRNA vaccine were found to be lower in pregnant women than in non‐pregnant women. However, Antibody responses to mRNA vaccination were lower in pregnant women when compared to non‐pregnant women. High antibody responses were achieved after one dose in previously infected women, regardless of pregnancy status. Pregnant women had fewer adverse effects after both the first and the second dose of the vaccine. These findings should now be addressed in larger controlled studies. This article is protected by copyright. All rights reserved.

5.
Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology ; 60(Suppl 1):224-224, 2022.
Article in English | EuropePMC | ID: covidwho-2058329
8.
Annals of Phytomedicine-an International Journal ; 10:S77-S85, 2021.
Article in English | Web of Science | ID: covidwho-2026890

ABSTRACT

Viral mutations can become more common as a result of natural selection, random genetic drift or recent epidemiological trends. Even more difficult is to determine whether a single mutation will affect the fate of an illness or a pandemic. World Health Organization designated the latest strain of SARS-CoV-2, the Omicron, as a "variant of concern" as more countries are reporting cases, and it contains a unique mix of mutations that might help it spread faster. Mutations in the SARS-CoV-2 strains at the high rates lead to the in effectiveness of vaccines and developed drugs. As the mutations occur only on the spike proteins of the viral particles, targeting other vital enzymes, i.e., proteases for drug discovery paves way for potential drug candidate irrespective of the mutations. So, the present study focuses on identifying the phytocompounds from Datura metal L. inhibiting the SARS-CoV-2 proteases. The druglikeness, PASS predictions and ADMET properties of the selected compounds were performed. 31 compounds were identified from the KNApSAck database and subjected to molecular docking studies. From the analysis, 7 compounds. Withametelin I, Withametelin J, Withametelin K, Withametelin L, Withametelin M, Withametelin N and Withametelin O showed significant binding energies and ADMET values. Therefore, these compounds can be further utilized for development of novel drugs for treatment of SARS-CoV-2 infections.

10.
International Journal of Early Childhood Special Education ; 14(5):1427-1433, 2022.
Article in English | Web of Science | ID: covidwho-2006514

ABSTRACT

The medical profession as a hole is in disarray, which has redounded in the deaths of a number of people. Due to a lack of vacuity, people began taking drug without consulting a croaker, causing their health to deteriorate faster than usual. Machine literacy has lately proven useful in a variety of operations, and there has been an increase in new work for robotization. Since the coronavirus emerged, it has become increasingly difficult to access licit clinical funding because to shortages of experts and healthcare personnel, appropriate attire and medication, etc. The whole medical community is tortured, which leads to the deaths of numerous beings. Due to attainability, people began taking drugs alone without necessary discussion, which made the health situation worse than normal. Recent times have seen an upsurge in inventive work for robotization, making machine literacy valuable in several procedures. Using colourful vectorization techniques like Bow, TF-IDF, Word2Vec, and Manual Feature Analysis, we create a drug recommendation system in this investigation that uses patient reviews to prognosticate the sentiment and can recommend the best medication for a given complaint by using various bracket algorithms.

11.
Journal of Clinical Oncology ; 40(16), 2022.
Article in English | EMBASE | ID: covidwho-2005680

ABSTRACT

Background: In the face of the COVID 19 pandemic, goal-concordant care has been gaining further significance. Discussions about the care goals are best when they are exploratory, conversational, and longitudinal. Complex information processing is best done outside of a crisis. Ideally, these conversations should start with the primary care clinician who has a longitudinal clinical relationship with the patient. Methods: A quality initiative project was conducted at the Internal Medicine Residency Clinic located in Northwestern Medicine Woodstock Hospital. Review of order entry in electronic medical records and charts for code status was assessed for data gathering. Patients above the age of 65 years presenting for their annual physical visit were included in the study. Various interventions were done, including educating residents through didactic lectures, sending electronic reminders to the residents and formatting a template note including code status documentation. Pre and post-intervention data was gathered. Results: A total of 104 patients were in the pre-intervention group and 94 patients in the post-intervention group. Pre-intervention, code status was addressed in 33% of total patients interviewed during their annual physical visit. Post intervention, code status was addressed in 48% of the patients. Conclusions: This project was undertaken to increase awareness on a crucial aspect of the addressing code status in outpatient setting. Post intervention studies showed that addressing code status significantly increased. In order to fill the gap, we propose that addressing code status be a mandatory process or a reminder be generated in electronic health records.

12.
Journal of Investigative Dermatology ; 142(8, Supplement):S29, 2022.
Article in English | ScienceDirect | ID: covidwho-1936803
13.
Journal of Investigative Dermatology ; 142(8, Supplement):S29, 2022.
Article in English | ScienceDirect | ID: covidwho-1936802
14.
Journal of Investigative Dermatology ; 142(8, Supplement):S25, 2022.
Article in English | ScienceDirect | ID: covidwho-1936799
15.
Drugs Aging ; 39(8): 657-669, 2022 08.
Article in English | MEDLINE | ID: covidwho-1930610

ABSTRACT

BACKGROUND: Psychotropic medicine utilisation in older adults continues to be of interest because of overuse and concerns surrounding its safety and efficacy. OBJECTIVE: This study aimed to characterise the utilisation of psychotropic medicines in older people in New Zealand. METHODS: We conducted a repeated cross-sectional analysis of national dispensing data from 1 January, 2005 to 31 December, 2019. We defined utilisation using the Anatomical Therapeutic Chemical classification defined daily dose system. Utilisation was measured in terms of the defined daily dose (DDD) per 1000 older people per day (TOPD). RESULTS: Overall, the utilisation of psychotropic medicines increased marginally by 0.42% between 2005 and 2019. The utilisation increased for antidepressants (72.42 to 75.21 DDD/TOPD) and antipsychotics (6.06-19.04 DDD/TOPD). In contrast, the utilisation of hypnotics and sedatives (53.74-38.90 DDD/TOPD) and anxiolytics decreased (10.20-9.87 DDD/TOPD). The utilisation of atypical antipsychotics increased (4.06-18.72 DDD/TOPD), with the highest percentage change in DDD/TOPD contributed by olanzapine (520.6 %). In comparison, utilisation of typical antipsychotics was relatively stable (2.00-2.06 DDD/TOPD). The utilisation of venlafaxine increased remarkably by 5.7 times between 2005 and 2019. The utilisation of zopiclone was far greater than that of other hypnotics in 2019. CONCLUSIONS: There was only a marginal increase in psychotropic medicines utilisation from 2005 to 2019 in older adults in New Zealand. There was a five-fold increase in the utilisation of antipsychotic medicines. Continued monitoring of psychotropic medicine utilisation will be of interest to understand the utilisation of antidepressants and antipsychotic medicines during the coronavirus disease 2019 pandemic year.


Subject(s)
Antipsychotic Agents , COVID-19 , Aged , Antidepressive Agents/therapeutic use , Antipsychotic Agents/therapeutic use , Cross-Sectional Studies , Humans , Hypnotics and Sedatives , New Zealand , Psychotropic Drugs/therapeutic use
16.
Ann Surg ; 2022 Jul 04.
Article in English | MEDLINE | ID: covidwho-1922441

ABSTRACT

OBJECTIVE: The objective is to determine how the COVID-19 pandemic affected care for patients undergoing thoracic surgery for cancer. BACKGROUND: The COVID-19 pandemic accelerated the adoption of telemedicine. METHODS: Characteristics and outcomes of new patients seen between March 1 and June 30, 2019, and the same period in 2020 were compared. Patients who did not undergo surgery were excluded. Patients who had a telemedicine visit (new and established) in the 2020 period were asked to complete a survey. RESULTS: In total, 624 new patients were seen in 2019 versus 299 in 2020 (52% reduction); 45% of patients (n=136) in 2020 were seen via telemedicine. There was no statistically significant difference in time to surgery, pathological upstaging, or postsurgical complications between 2019 and 2020. In total, 1085 patients (new and established) had a telemedicine visit in 2020; 239 (22%) completed the survey. A majority replied that telemedicine was equivalent to in-person care (77%), did not impair care quality (84%), resulted in less stress (69%) and shorter waits (86%), was more convenient (92%), saved money and commuting time (93%), and expanded who could attend visits (91%). Some patients regretted the loss of human interaction (71%). Most would opt for telemedicine after the pandemic (60%), although some would prefer in-person format for initial visits (55%) and visits with complex discussions (49%). Only 21% were uncomfortable with the telemedicine technology. CONCLUSIONS: Telemedicine enabled cancer care to continue during the COVID-19 pandemic without delays in surgery, cancer progression, or worsened postoperative morbidity and was generally well received.

17.
Expert Rev Vaccines ; 21(9): 1255-1268, 2022 09.
Article in English | MEDLINE | ID: covidwho-1908600

ABSTRACT

INTRODUCTION: COVID-19 vaccines have been highly effective in reducing morbidity and mortality during the pandemic. While primary series vaccination rates are generally high in Southeast Asian (SEA) countries, various factors have limited the rollout and impact of booster doses. AREAS COVERED: We reviewed 79 studies in the International Vaccine Access Center (IVAC) VIEW-hub platform on vaccine effectiveness (VE) after primary immunizations with two-dose schedules. VE data were reported for SARS-CoV-2 infection, COVID-19-related hospitalizations and deaths, and stratified across variants of concern, age, study design and prior SARS-CoV-2 infection for mRNA vaccines (BNT162b2, mRNA-1273, and combinations of both), vector vaccines (AstraZeneca, AZD1222 [ChAdOx1 nCoV-19] 'Vaxzevria'), and inactivated virus vaccines (CoronaVac). EXPERT OPINION: The most-studied COVID-19 vaccines provide consistently high (>90%) protection against serious clinical outcomes like hospitalizations and deaths, regardless of variant. Additionally, this protection appears equivalent for mRNA vaccines and vector vaccines like AZD1222, as supported by our analysis of Asian and relevant international data, and by insights from SEA experts. Given the continued impact of COVID-19 hospitalizations and deaths on health-care systems worldwide, encouraging vaccination strategies that reduce this burden is more relevant than attempting to prevent broader but milder infections with specific variants, including Omicron.


Subject(s)
COVID-19 , SARS-CoV-2 , BNT162 Vaccine , COVID-19/prevention & control , COVID-19 Vaccines , ChAdOx1 nCoV-19 , Humans , Vaccine Efficacy , Vaccines, Inactivated
19.
BJOG-AN INTERNATIONAL JOURNAL OF OBSTETRICS AND GYNAECOLOGY ; 129:142-142, 2022.
Article in English | Web of Science | ID: covidwho-1904490
20.
1st International Conference on Technologies for Smart Green Connected Society 2021, ICTSGS 2021 ; 107:9103-9117, 2022.
Article in English | Scopus | ID: covidwho-1874826

ABSTRACT

COVID - 19 has changed the way of management education. Blended Learning (BL) has become an integral part of management education and the way ahead in our new normal. Sustainable management education is coalescing around 2030 agenda and the Sustainable Development Goals (SDGs) as introduced in new mission statement UN PRME's (2016). As the pandemic developed, academia needs to be trained in new forms of operation to meet SDGs (Goal 4) of quality education which can be done through sustainable management education in the context of MBA programs.. The study employs Community of Inquiry (CoI) paradigm to ascertain the effectiveness of BL;the study also brings about the co-dependency of the elements of CoI framework. Numerous research propositions are addressed during the study. The study also reflects on the perception of MBA educators and their behavioral intention towards BL. This research provides a comprehensive review of the best practices for designing academic programs in management education using of BL. © The Electrochemical Society

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