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1.
Journal of Information & Optimization Sciences ; 43(6):1431-1441, 2022.
Article in English | Web of Science | ID: covidwho-2160516

ABSTRACT

Leadership is a journey that never stops and has power to evoke the minds of the people in the organisation. Outbreak of COVID-19 left individuals and organizations with many shocks due to unprecedented change. Transformational leadership style evokes the behaviour of employees towards better task. This study aims to establish the relationship between the transformational leadership and its impact on the employee performance in COVID-19 era. An empirical study was conducted by a survey, administered on employees of IT sector. Hypotheses were tested on a sample of 300. Statistical tools such as excel and SPSS were used for analysis. Multiple Regression was applied to study the influence of transformational leadership on employee performance. The results showed there is a significant relationship between transformational leadership and employee performance and the predictive variable traits of transformational leadership contributed significantly.

2.
Patient Experience Journal ; 9(1):19-21, 2022.
Article in English | Scopus | ID: covidwho-2156205

ABSTRACT

It is not uncommon in the American medical community that a personal narrative sparks a conversation about a controversial topic. In 1988 the Journal of American Medical Association published a narrative by a medical doctor which provoked a debate on euthanasia within the readership of the journal and the greater public. The testimony that I am presenting aims to invite a public dialogue on the harmful effects of restrictive visitation policies brought on by the COVID-19 pandemic. The story of my family’s experience during the end-of-life care for my mother, a COVID patient, illustrates how urgent is the need to rethink the restrictive visitation policies so as to protect patients from unnecessary suffering. In order to battle pandemic-related stress and fatigue medical staff and families must work together to improve patient care. © The Author(s), 2022.

3.
Multiple Sclerosis Journal ; 28(3 Supplement):973-974, 2022.
Article in English | EMBASE | ID: covidwho-2138921

ABSTRACT

Introduction: Multiple sclerosis disease-modifying therapies, including sphingosine 1-phosphate receptor modulators, may attenuate the response to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection or vaccination. Objective(s): To describe the serological response and clinical outcomes of SARS-CoV-2 infection and vaccination in ozanimodtreated participants with relapsing multiple sclerosis (RMS) in an open-label extension (OLE) trial. Method(s): Participants with RMS who completed a phase 1-3 ozanimod trial could enter an OLE trial (DAYBREAK-NCT02576717) of ozanimod 0.92 mg/d. This analysis (January 2020-October 2021 [serology] and January 2022 [clinical outcomes]) included DAYBREAK participants who received SARSCoV-2 vaccines (fully vaccinated) and/or had COVID-19 adverse events. Receptor binding domain (RBD) antibody levels and nucleocapsid antibody positivity were analysed using Roche Elecsys assays. Log2 RBD antibody levels were compared between groups using t-tests. Result(s): Among the 148 vaccinated participants with serological data, 39 participants had serologically confirmed SARS-CoV-2 exposure. After full vaccination, RBD seroconversion occurred in 100% (n=39/39) of nucleocapsid antibody positive and most (n=98/109) nucleocapsid antibody negative participants (with 100% seroconversion in nucleocapsid antibody negative participants receiving mRNA vaccines [n=80/80]). Significantly higher RBD antibody levels were observed in the vaccinated nucleocapsid antibody positive vs negative vaccinated participants (median [range], U/mL: 2259 [12.4-44260.0] vs 138 [0.4-4572.0], respectively, P<0.0001). COVID-19 adverse events were reported in 15/148 participants, all nonserious events (confirmed=12, suspected= 3). Ozanimod treatment was continued in 9 participants and interrupted in 5 (1 unknown). Eleven participants recovered by the time of data cut off, and one recovered with sequelae (cough and loss of sense of smell). Conclusion(s): Participants with RMS receiving ozanimod mount a serologic response to SARS-CoV-2 infection and vaccination. COVID-19 events in these fully vaccinated participants were nonserious. A limitation of this research is its retrospective nature and the potential for selection bias towards higher-risk individuals.

4.
Journal of Pharmaceutical Negative Results ; 13:456-459, 2022.
Article in English | Web of Science | ID: covidwho-2121384

ABSTRACT

Introduction: The recent pandemic outbreak Covid-19 has led to substantial illness and ultimate mortality across the globe and children are highly are in the verge of being in a critical role as vectors in the transmission of SARS-CoV-2 in the community. There are quite a few studies which have observed that the vaccinated individuals who become infected again are on the side fewer side to transmit the virus due to reduced viral load and the duration of virus shedding and as a result, transmission from vaccinated individual to household contacts is significantly lower. This systemic review was thus undertaken with the objective of analysing the literature that were available on the safety, immunogenicity, efficacy and if any adverse effects of covid vaccination in children.Material and Methods: We conducted both a systematic review. This review was solely based on the predefined protocol and it was conducted in concordance with PRISMA guidelines.Conclusion: The available data reports similar efficacy and safety in children as of adults. Therefore, more clinical trials are needed to be conducted and published for evaluation of safety and if any long-term effects of Covid vaccines.

5.
International Conference on Advances and Applications of Artificial Intelligence and Machine Learning, ICAAAIML 2021 ; 925:453-459, 2022.
Article in English | Scopus | ID: covidwho-2075304

ABSTRACT

Even after a year since COVID-19 pandemic originated, there are no concrete signs of slowing down of the virus any day now. The pandemic had an adverse effect on the healthcare system across the globe. It was assumed earlier that the hot summer weather will bring boon by decreasing the caseloads and easing down the stress on health care system worldwide. The purpose of this research is to assess the implications of this pandemic on the healthcare system in India and forecast overall active cases of COVID-19 in India using time series analysis. The data set used in the study spans to the 3 hottest months, from May, 2021 to July, 2021, thereby narrowing down the analysis of the pandemic to extreme summers of India. The popular time series Auto-Regressive Integrated Moving Average (ARIMA) model was then extensively manoeuvred to observe the trend and predict results. It was observed that ARIMA (0, 2, 0) model was pretty pertinent in forecasting the active cases during summers in India. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

6.
Chest ; 162(4):A2283-A2284, 2022.
Article in English | EMBASE | ID: covidwho-2060932

ABSTRACT

SESSION TITLE: Practice Management Beyond Coding and Staffing SESSION TYPE: Rapid Fire Original Inv PRESENTED ON: 10/17/2022 12:15 pm - 1:15 pm PURPOSE: Despite reduced health care utilization and mortality for COPD patients participating in pulmonary rehabilitation (PR) after hospitalization, few enroll in this intervention. Reasons were explored in a post-discharge survey to inform new ways to market or restructure PR. METHODS: IRB-approved, telephone survey and record review of patients with COPD discharged from one hospital over 1-year period. Inclusion criteria for analysis: 1) Principal diagnosis of COPD or respiratory failure;2) Discharge home;3) PR indicated or not contraindicated. Inclusion criteria for survey: 1) Telephone consent;2) Fluency in English. RESULTS: 191 were studied. Of these, 51 (27%) were not in a home setting (26 died, 25 not discharged home), 32 (16%) had no indication for PR (11 had an incorrect diagnosis, 21 not medically indicated). Of the remaining, 62 could not be surveyed (38 not reachable, 8 language barrier, 16 refused consent), leaving 46 (24% of total group) surveyed at 132 ± 89 days following discharge. Of those surveyed, 89% had a primary care provider, 72% had a pulmonologist, 43% had heard of PR, but only 24% ever participated in this intervention. 28% were ever referred to PR. Pulmonologists were the most common referrers. Desirable outcomes and factors that might influence the patient’s decision to participate in PR are in the Table. Table. Survey Results, n = 46 Mean rankings of Importance to Patients: 1 = least important, 5= most important Potential Outcomes of Importance to Patient Reduced Hospitalization Risk 4.80 Improvement in Dyspnea 4.54 Learn More About Lung Disease 4.34 Increase in Ability to do Things 4.26 Fewer Flare-ups of Lung Disease 4.26 Decrease in Tiredness or Fatigue 4.09 Reduced anxiety or nervousness 3.94 Opportunity to Interact with Others 3.49 Factors that Might Positively Influence Decision for PR Likelihood of Beneficial Outcome 4.34 Low Cost 4.23 Short Travel Distance to PR 4.00 Less Concern over Excessive Dyspnea during Exercise 3.54 Convenient Transportation to PR 3.37 Fewer Weather-Related Issues 2.89 Not Having to Get Up in the AM to Go to PR 2.66 No Family Responsibility Conflicts in Attending PR 1.97 Not Too Soon After Hospitalization 1.60 No Employment Conflicts in Attending PR 1.37 CONCLUSIONS: Despite reasonably good access to medical care, uptake of PR was poor. Important factors in under-utilization include non-indication or contraindication or non-referral to PR. CLINICAL IMPLICATIONS: A major limitation of this survey is that it was conducted during the COVID-19 pandemic when PR facilities were closed. Those never participating in PR nevertheless listed desirability of outcomes typically attributed to PR. Although repeating the survey post-pandemic may yield more accurate results, current data indicates the need for improved patient education and referral to PR. This is a potential target for future interventions to increase PR usage. DISCLOSURES: No relevant relationships by Osama Elsankary No relevant relationships by Antarpreet Kaur No relevant relationships by Hnin Hnin Oo No relevant relationships by Jane Reardon No relevant relationships by Ryan Talbert No relevant relationships by Richard ZuWallack

7.
Chest ; 162(4):A911-A912, 2022.
Article in English | EMBASE | ID: covidwho-2060726

ABSTRACT

SESSION TITLE: Critical Care Management of COVID-19 SESSION TYPE: Original Investigations PRESENTED ON: 10/17/2022 01:30 pm - 02:30 pm PURPOSE: Superimposed bacterial co-infection is common among patients with Coronavirus disease-19 (COVID-19) pneumonia. Incidence of any superimposed infection ranges from 0% to 40%. Up to 50% of COVID-19 patients who died, had concomitant bacterial or fungal infection. Steroids are recommended for the treatment of acute hypoxemic respiratory failure (AHRF) due to COVID-19 and are thought to mitigate inflammatory organ injury. This retrospective study explores a subset of COVID-19 patients receiving Epoprostenol (iEPO) for AHRF and compared two different steroid treatment strategies and the impact on patient outcomes. METHODS: This is a retrospective study of 101 COVID-19 patients with AHRF receiving iEPO and systemic steroids. Patients in the high dose steroid group (n=59) received a minimum of dexamethasone 20mg daily or solumedrol 100mg daily while the standard dose steroid group (n=52) were those who received any lower dose. Patients that were DNR/I were excluded from the study. The primary outcome of the study was the rate of bacterial co-infection defined by positive cultures. Secondary outcome was mortality. RESULTS: Results showed that patients treated with high dose steroids were older (66.77±11.17 vs 60.33±14.49, p0.006) and received a longer treatment course (18 days (12-25) vs 12.5 days (10-17), p 0.004). Univariate and Multivariate analysis showed that higher dose steroids were not associated with increased risk of superimposed bacterial infection (OR 0.96, CI (0.34-2.66), p0.93). The duration of steroids, regardless of the dose, was associated with increased risk of superimposed bacterial infection (OR 1.06, CI (1.01-1.13), p0.033). When adjusted for comorbidities and inflammatory state, there was no significant difference in mortality between patients treated with high dose compared to standard dose steroids (OR 3.60, CI (0.65-19.93), p0.14). A longer duration of steroids was associated with a trend towards improved mortality (OR 0.93, CI (0.87-1.00), p0.072). CONCLUSIONS: Our study suggests that the duration of steroids, rather than dosage, had an effect on patient outcomes. There was no difference in bacterial co-infection rates between the two groups, but infection rates were increased among those who received a longer course of steroid treatment. There was a trend towards lower mortality with increased steroid duration, however, this did not reach statistical significance. Given this trend towards lower mortality, future prospective studies should investigate steroid duration to determine if a longer course of treatment leads to better outcomes in patients with COVID-19 pneumonia and refractory AHRF. CLINICAL IMPLICATIONS: Based on our study, patients should not receive a higher dose or longer duration of steroid treatment given the increased risk of bacterial infection with no definitive improvement in mortality. DISCLOSURES: No relevant relationships by Natasha Garg No relevant relationships by Abhinav Hoskote No relevant relationships by Raymonde Jean No relevant relationships by Arpanjeet Kaur No relevant relationships by Sara Luby No relevant relationships by Omar Mahmoud No relevant relationships by Maria Athena Riego No relevant relationships by Edith Robin No relevant relationships by James Salonia No relevant relationships by DISHANT SHAH No relevant relationships by Venus Sharma No relevant relationships by Elizabeth Zipf

8.
International Conference on Cyber-Technologies and Emerging Sciences, ICCTES 2021 ; 467:283-291, 2023.
Article in English | Scopus | ID: covidwho-2048172

ABSTRACT

In 1947, when India gets its freedom, India was one of the least developed countries in technology and innovations. Indian scientific community and our leaders as determined to achieve mastered in technology and innovation with least funding in sectors like space technology, nuclear energy and agriculture. Many Indian organizations like ISRO and DRDO give their contribution to achieve these goals. Latest research suggests that with start of twentieth century which is also called as age of artificial intelligence, India and world facing new challenges in health care like COVID-19. In this research article, the analytical study demonstrates the research challenges an Indian scientific community and government of India examine in health care system and get to know that is the Indian scientific community ready to use the artificial intelligence techniques to tackle challenges in pandemic (COVID-19) like situations in future. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

9.
International Journal of Emerging Markets ; 2022.
Article in English | Scopus | ID: covidwho-2018473

ABSTRACT

Purpose: Due to the financial disturbances created by the COVID-19 pandemic and the burden on the government exchequer, it is expected to see a rise in the knowledge base of the research corpus so far as the government's fiscal sustainability is concerned. Therefore, the present research examines a systematic quantitative analysis of public debt sustainability research by applying a bibliometric approach. Research also analyzes journals, institutions, countries and authors contributing to public debt sustainability. Design/methodology/approach: This paper scrutinizes the published scientific research on public debt sustainability based on the dataset of 535 articles from 1991 to 2021 obtained from the Scopus database. Biblioshiny (R-based application) and VoSviewer software were used to perform bibliometric analysis through Performance analysis and science mapping techniques. The authors combined co-citation analysis (CCA), bibliometric analysis, keyword co-occurrence analysis (KCA) and a conceptual thematic map of the most cited articles to find the intellectual structure. Findings: The research identified three dominating clusters, e.g. fiscal sustainability and policy rules, empirical sustainability testing and debt and growth dynamics. Another finding was that most articles were analytical and empirical and few descriptive articles were found. Owing to the empirical nature of the domain, the issues concerning public debt sustainability have continued to change over the past decades for different economies, reflecting the complexity and diversity of economic structures of different economies at different times. Originality/value: The insight of this article provides academicians and researchers with a more refined comprehension of the conceptual and intellectual structure of the research corpus. The present research complements the existing literature review studies by pushing the research towards emerging or less developed issues such as financial and debt crises. © 2022, Emerald Publishing Limited.

10.
International Journal of System Assurance Engineering and Management ; 2022.
Article in English | Web of Science | ID: covidwho-2003763

ABSTRACT

COVID-19 has spread around the world since it begun in December 2019. The pandemic has created an unprecedented global health emergency since World War II. This paper studies the impact of pandemic and predicts the anticipated casualty rise in India. The data has been extracted from the API provided by https.//www.covidl9ind ia.org/ and covers up the time period from 30th January 2020 when the first case occurred in India till 13th January 2021. The paper provides a comparative study of six machine learning algorithms namely SMOreg, Random Forest, 1Bk, Gaussian Process, Linear Regression, and Autoregressive Integrated Moving Average (ARIMA) in forecasting deceased COVID 19 cases, via the data mining tool such as Weka and R. The major findings show that the best predictor model for anticipating the frequency of deceased cases in India is ARIMA (5,2,0). Utilizing this model, we estimated the propagation rate of deceased cases for the next month. The findings reveal that the fatal cases in India could rise from 151,174 to 157,179 within one month with an average of 190 death reports every day. This study will be helpful for the Indian Government and Medical Practitioners in assessing the spread of pandemic in India and devising a combat plan to mitigate the pandemic.

11.
Indian Journal of Psychiatry ; 64, 2022.
Article in English | Web of Science | ID: covidwho-2003429
12.
2nd International Conference on Advance Computing and Innovative Technologies in Engineering, ICACITE 2022 ; : 442-447, 2022.
Article in English | Scopus | ID: covidwho-1992619

ABSTRACT

With COVID-19, more than millions of people from all over the world got infected due to this pandemic disease, has wrought havoc. Due to delay in detection of presence of COVID-19 in human body, it infected large number of people all around the globe. Besides all the available manual methods, Artificial Intelligence (AI) and Machine Learning (ML) can help in detecting, treating and monitoring the sternness of COVID-19. This paper intends to provide a complete overview of the role of AI and ML as one important tool for COVID-19 and associated epidemic screening, prediction, forecasting, contact tracing, and therapeutic development. AI is a game-changer in terms of disease diagnosis speed and accuracy. It's a promising technique for a fully transparent and autonomous monitoring system that can follow and cure patients remotely without transmitting the infection to others. AI Application areas in the field of health care are also identified. This paper examines the role of AI in combating the COVID-19 epidemic. We attempt to present a medical network architecture based on AI. The architecture employs artificial intelligence (AI) to efficiently and effectively carry out patient monitoring, diagnosis, and their cure. © 2022 IEEE.

13.
International Conference on Computing and Communication Networks, ICCCN 2021 ; 394:467-479, 2022.
Article in English | Scopus | ID: covidwho-1971597

ABSTRACT

The world is fighting against the novel coronavirus, and a lot of people have lost their lives with the scenario getting bad to worse and worst. This infection is communicated from one individual to another while wheezing or talking as drops. To prevent Covid-19, wearing masks is very beneficial. In this paper, an existing model, ‘DenseNet201’, is being modified to efficiently track the persons who are wearing a mask or not. This system uses a convolutional neural network (CNN) and computer vision to limit the risk of Covid-19 and make sure nobody violates the rule. The dataset used in the process contains two classes, namely 'with mask' and 'without a mask'. Data pre-processing and splitting take place before the model training;then comparative analysis has been made in between the modified versions of the three transfer learning models, viz. DenseNet201, InceptionResnetV2, and ResNet101V2 to validate the modified model's efficiency. Results suggest that the revised version of DenseNet201 is very effective and can detect the events where face masks are not used at all or in an improper manner, with an accuracy of 98.90%. Various other metrics for performance are also being evaluated and reported in the paper. This model can work with images and videos/CCTV cameras using the help of OpenCV, TensorFlow, and Keras. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

14.
Asian Journal of Pharmaceutical and Clinical Research ; 15(7):1-2, 2022.
Article in English | EMBASE | ID: covidwho-1957632

ABSTRACT

Bell’s palsy, also known as acute peripheral facial palsy of unidentified reason, is caused by the acute onset of problems with the facial nerve’s lower motor neuron. Several case reports and series have described peripheral facial nerve palsy associated with COVID-19. In addition, since the US food and drug administration’s (FDA) emergency use authorization of several COVID-19 vaccines, there have been media reports of Bell’s palsy associated with vaccination. This case concerns a 26-year-old female with Bell’s palsy (confirmed by clinical diagnosis – an acute unilateral facial nerve paresis or paralysis with onset in >72 h) after receiving second dose of Covishield vaccine (ChAdOx1 nCoV-19). She experienced decreased sleep, dizziness, and left side eye watering post-vaccination. Next day after vaccination, she noticed muscle weakness on the left side of the face, preventing her from close left eye, drinking fluids, and facial droop accompanied by reduced mobility. The patient was treated with methylprednisolone and eye drops (lubricants).

15.
International Journal of Early Childhood Special Education ; 14:16-23, 2022.
Article in English | Web of Science | ID: covidwho-1928882

ABSTRACT

Hygiene status of the people along with other measures of environmental sanitization promotes health of the community by providing clean environment and breaking the cycle of disease. Establishing routine hygiene behavior and adopting hygiene norms by the community at large and in particular the bottom of pyramid segment is of critical importance for long term welfare and health benefits. This study aims to firstly assess the hygiene behavior adopted by bottom of pyramid segment across several aspects of hygiene behavior. Secondly, to employ various demographic and behavioral factors to predict, model and classify hygiene behavior and thirdly to explore the differences across various aspects of hygiene behavior in the identified groups. This study surveyed the hygiene behavior across 272 respondents from the bottom of pyramid segment. Descriptive data analysis, CHAID analysis and one way ANOVA was employed to address the research objectives. The findings indicate an evident gap in adoption of hygiene (score less than 2.5 on a four point scale) across all aspects such as hand hygiene food hygiene etc. Pre covid hand hygiene behavior, positive influence of family on adopting hygiene behavior and residential status (native or migrant) emerged as key predictors of hygiene behavior. Five heterogeneous groups emerged as an outcome of CHAID analysis and significant differences were found across several aspects of hygiene behavior in these groups. The study provides a typology of citizens from bottom of pyramid that will facilitate policy makers and local authorities and agencies to design campaigns and intervention programs that promote long term adoption of hygiene effectively.

16.
Neurology ; 98(18 SUPPL), 2022.
Article in English | EMBASE | ID: covidwho-1925519

ABSTRACT

Objective: Assess patient satisfaction of telemedicine implementation during the COVID-19 pandemic Background: We aimed to learn neurology clinic patient opinions of a new telemedicine clinic during the COVID-19 pandemic in an urban academic center. Design/Methods: We conducted surveys on neurology clinic patients or caregivers with consent who had ≥ 1 telemedicine visit during the COVID-19 pandemic. The patient survey was adapted, with permission, on the Massachusetts General Hospital TeleHealth Virtual Visit Patient survey and responses were managed using REDCap database. Results: Forty-one patient surveys were completed, of which 52.6% of responders were Black, and 65.8% were women. Over 55% of patients were 18-45 years old. Fifty-eight percent of patients had education beyond a high-school diploma. Sixty-five percent of patients had their first telemedicine visit during the pandemic and most of them were at home (97%). Fifty-nine percent used smart phones, 25.6% had a cell phone without video capacity, and 92.1% used their own device. Wi-Fi was used by 67.6% and 27% used cellular network data. Twenty-five percent of patients experienced some technical issues and over 50% was specifically with joining a video visit. Despite the technical issues, more than 75% of patients reported that they still received the care they needed. Overall positive rating was 67.5%. Four patients strongly disliked telemedicine. Eighty-seven percent reported their virtual visit is as effective as a traditional office visit in communicating their needs. Compared to virtual visit, 49% of patients felt more confident that an office visit would address their health concern better. Fifty percent of patients reported that an office visit had better overall quality. Eighty-three percent would recommend a virtual visit to their family and friends. Conclusions: Our study demonstrated telemedicine has received high overall patient satisfaction in an urban-based neurology clinic. More surveys need to be completed to determine clinical significance.

17.
2021 International Conference on Computational Performance Evaluation, ComPE 2021 ; : 662-666, 2021.
Article in English | Scopus | ID: covidwho-1831740

ABSTRACT

With the sudden outbreak of COVID-19 pandemic all over the world, the education sector has experienced a tremendous transformation from its tradition way of providing lectures to the online mode of lectures. The online meeting platforms play a significant role in enhancing the online learning experience of the students. There are many online meeting platforms available, which offer several similar features yet provide different experiences to the users. It is important to evaluate the most preferable online meeting platform for the education sector to improve the overall education quality especially in the online learning era. This study, therefore, evaluates the preference of higher education students' preferences for online meeting platforms. For this study, three most commonly used online platforms i.e., Google Meet, MS Teams, and Zoom are considered. The evaluation process is done using cross-tabulation analysis and Chi-Square analysis. The results obtained in this study suggests that Google Meet is the most preferred online meeting platform by the students. This study provides an insight about the platform that can be used by the educators to improve the overall learning experiences of the students. © 2021 IEEE.

18.
International Political Economy Series ; : 17-50, 2022.
Article in English | Scopus | ID: covidwho-1767440

ABSTRACT

COVID-19 is a health pandemic which has afflicted 216 regions of the world and caused more than 3.3 million deaths till date. Simultaneously, the countrywide lockdowns and quarantine measures implemented to control the spread of the virus have resulted in a host of negative socio-economic repercussions including heightened economic vulnerability, business closures and increased health risks for the most marginalised groups in society. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

19.
Osteoporosis International ; 32(SUPPL 1):S372-S372, 2021.
Article in English | Web of Science | ID: covidwho-1710703
20.
Osteoporosis International ; 32(SUPPL 1):S275-S276, 2021.
Article in English | Web of Science | ID: covidwho-1710702
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