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1.
Cancer Research ; 82(12), 2022.
Article in English | EMBASE | ID: covidwho-1986476

ABSTRACT

Objectives: To conduct the first international cohort study to ascertain the short-term outcome for pediatric oncology patients who underwent treatment across 16 high-income countries (HICs) and 23 low-and-middle-income countries (LMICs) during the COVID-19 pandemic. The hypotheses being tested was that the COVID-19 pandemic had affected paediatric cancer care, and that the outcomes of children were worse in LMICs. Design: A multicenter, international, collaborative cohort study. Setting: 91 hospitals and cancer centers in 39 countries providing cancer treatment to pediatric patients between March and December 2020. Participants: Patients were included if they were under the age of 18 years, and newly diagnosed with or undergoing active cancer treatment for Acute lymphoblastic leukemia, Non-Hodgkin lymphoma, Hodgkin lymphoma, Wilms Tumor, Sarcoma, Retinoblastoma, Gliomas, Medulloblastomas or Neuroblastomas, in keeping with the World Health Organization Global Initiative for Childhood Cancer. Main outcome measure: All-cause mortality at 30 days and 90 days Results: 1660 patients were recruited. Over 30 days, 45 LMIC patients (4.3%;95% CI: 3.1 to 5.5) and 2 HIC patients (0.4%;95% CI: -0.1 to 0.9) died. 219 children had their treatments delayed, interrupted, or modified. LMIC patients had 11.7 (95% CI: 10.3 to 13.1) and 7.4 (95% CI: 6.5 to 8.3) times the risk of death at 30 days and 90 days respectively (p < 0.001). After adjusting for confounders, pediatric cancer patients in LMICs had 35.7 times the odds of death at 30 days (p < 0.001). Conclusions: The COVID-19 pandemic has affected pediatric oncology service provision. It has disproportionately affected patients in LMICs, highlighting and compounding existing disparities in healthcare systems globally that need addressing urgently. However, most pediatric cancer patients continued to receive their normal standard of care. This speaks to the adaptability and resilience of health-care systems and healthcare workers globally.

3.
Journal of Scientometric Research ; 11(1):47-54, 2022.
Article in English | Web of Science | ID: covidwho-1897066

ABSTRACT

This study aims to analyze the dynamics of the published articles and preprints of Covid-19 related literature from different scientific databases and sharing platforms. The PubMed, ScienceDirect, and ResearchGate (RG) databases were under consideration in this study over a specific time. Analyses were carried out on the number of publications as (a) function of time (day), (b) journals and (c) authors. Doubling time of the number of publications was analyzed for PubMed "all articles" and ScienceDirect published articles. Analyzed databases were (1A) PubMed (01/12/2019-12/06/2020) "all_articles" (16) PubMed Review articles) and (1C) PubMed Clinical Trials (2) ScienceDirect all publications (01/12/2019- 25/05/2020) (3) RG (Article, Pre Print, Technical Report) (15/04/2020 - 30/4/2020). Total publications in the observation period for PubMed, ScienceDirect, and RG were 23000, 5898 and 5393 respectively. The average number of publications/day for PubMed, ScienceDirect and RG were 70.0 +/- 128.6, 77.6 +/- 125.3 and 255.6 +/- 205.8 respectively. PubMed shows an avalanche in the number of publications around May 10, the number of publications jumped from 6.0 +/- 8.4/day to 282.5 +/- 110.3/ day. The average doubling time for PubMed, ScienceDirect, and RG was 10.3 +/- 4 days, 20.6 days, and 2.3 +/- 2.0 days respectively. The average number of publications per author for PubMed, ScienceDirect, and RG was 1.2 +/- 1.4, 1.3 +/- 0.9, and 1.1 +/- 0.4 respectively. Subgroup analysis, PubMed review articles mean review <0 vertical bar 17 +/- 17 vertical bar 77> days: and reducing at a rate of -0.21 days (count)/day. The number of publications related to the COVID-19 until now is huge and growing very fast with time. It is essential to rationalize and limit the publications.

4.
International Journal of Disaster Resilience in the Built Environment ; : 18, 2022.
Article in English | Web of Science | ID: covidwho-1799401

ABSTRACT

Purpose The purpose of this paper is to develop a replicable model that ensures Household Water Treatment and Safe Storage as well as water treatment facilities at the community level by providing total service coverage at community scale. An intervention was implemented in one of the low-lying areas of Basirhat Municipality (West Bengal, India) that included a number of action programs in order to address household- and community-level water-induced challenges. Design/methodology/approach A research study was undertaken to identify the root causes of the problems that are generally spawned from geomorphological, hydro-fluvial, climatic factors and processes and the situation becomes complicated when many other cumulative problem-contexts layovers the existing ones. A number of social and technological innovations were tested in the field and this paper critically examined the intervention processes and outcomes. It was implemented through participatory process by involving related stakeholders working at that scale so that necessary public acceptance is received for scaling up, at least, in the similar physical, social, economic and institutional contexts. Findings The problem conceptualization process, spatial assessment for contextualizing the problem, design of interventions for different scales, development of project deployment strategies from field-based learnings contributed in developing a total solution based on fusing of household-level technical solutions, social innovations and actions for community engagements towards sustainability. Mobilized community members in addressing local inundation and waterlogging crisis. Satellite image-based maps shown to make them understand the upper-lower connection of drainage. People also developed their own action plans and engaged themselves in resuscitation of an old canal, removed the garbage that resulted in improved drainage conditions in the area. Research limitations/implications Pandemic due to COVID 19 and its related prolonged lock down, West Bengal State Assembly Election, closure of municipal governance system due to the forthcoming municipal election, closure of educational institutions, closure of Anganwadi Centre in the field area were the limitations. Due to the lock down, it was difficult for the team to maintain the time frame as well as the budget. As per the Election's Code of Conduct gets released no public meeting was allowed without permission, people in the vicinity became suspicious, hence movement of the team members got restricted. Practical implications Due to the COVID protocols, the team could not organise mass training programs. It was difficult for the team members to commute in public/private transport, hence filed work got impacted. As the team could not access data from the health department, they developed a strategy of generation data on body mass index, mid-upper arm circumferences and waist-to-hip ratios to understand the status of health and nutrition of the community. It was difficult to access the Public Health Engineering Department's laboratory situated in the municipality for water sample test. Cost escalated due to extension of the project time. Social implications During the second phase (wave) when people lost access to health facilities they requested the team to stop field visit. Women's empowerment through acquiring knowledge and skill on treatment and safe storage of drinking water at home. Men appreciated and recognized this, which improved the status of women in the society. Children after expressing their willingness to learn the new technology of water purification were given handholding training by their mothers and knowledge transfer has taken place in the next generation. Mobilized community members in addressing local inundation and waterlogging crisis. Satellite image-based maps to understand the upper-lower connection of drainage helped them develop their own action plans and engaged themselves in resuscitation of an old canal, removed the garbage that resulted in improved drainage conditions in the area. Originality/value Household-level solutions include supply of low cost, easy operable, sustainable water purifiers, community-level solution focused on securing water-related challenges at social/public gathering places and wider catchment area level solutions include the engagement of local communities to drain out stagnant waters by clearing drains, creating/digging small canals through collective actions. Geo-spatial techniques (topographical mapping, spatial survey, water quality tests) along with social methods such as participatory appraisals for gathering information on human health, public awareness campaigns and partnership development with local government agencies were the major activities performed as part of the implementation of interventions. It is imperative to mention that water-related challenges in the low-lying settlement areas of Basirhat Municipality have effectively been addressed by relying on necessary theoretical underpinnings (Disaster risk reduction/humanitarian principles) transmitted through application of scientific techniques and mediated through local people and their agencies.

5.
Journal of the Indian Medical Association ; 118(7):28-33, 2020.
Article in English | Scopus | ID: covidwho-1787055

ABSTRACT

COVID 19 pandemic has a significant impact on global public health and economies. Scientists and researchers all over the world are endeavouring in search of specific drug against COVID19 virus. For a novel emerging virus, specific antiviral drug takes time before its approval for clinical use as RCTs are expensive and time consuming. In Indian perspective, many drugs which are currently under clinical trial are unavailable. Reviewing available published and unpublished papers, we intend to throw light on the drugs that can be used in the interim in India till further evidence come. Pending sufficient evidence remdesivir, favipirvair,tocilizumab,lopinavir-ritonavir with or without ribavirin;hydroxychloroquine or convalescent plasma can be considered. © 2020 Indian Medical Association. All rights reserved.

7.
BJS Open ; 5(SUPPL 1):i22, 2021.
Article in English | EMBASE | ID: covidwho-1493720

ABSTRACT

Background: Currently, we can only speculate on what the effects of the COVID-19 pandemic have been on medical students and interim foundation year doctors. In order to support them appropriately both now and, in the future, it is imperative that we understand the impact it has had upon them. This study assessed the effects of the COVID-19 pandemic on medical students and interim foundation year doctors across the United Kingdom (UK), and the support that they received and sought. Methods: A prospective, observational, multicentre study was conducted. All medical students and interim foundation year doctors were eligible to participate. The data analysis was carried out as detailed a priori in the protocol. Findings: A total of 2075 individuals participated in the SPICE-19 survey from 33 medical schools. There was a significant (p<0.0001) decrease in participants' mood when comparing their mood before the pandemic to during the pandemic. Social distancing and more time at home/with family were the factors that negatively and positively respectively impacted the mood of the greatest number of participants. All areas of life included in the survey were found to have been significantly more negatively impacted than positively impacted (p<0.0001). 931 participants wanted more support from their university. Participants were mainly seeking support with exam preparation, course material, and financial guidance. Discussion: Medical and foundation schools need to prepare adequate and effective support. If no action is taken, there may be a knock-on effect on workforce planning and the health of our future workforce. When medical students return to their universities, there is likely to be need for enhanced wellbeing support, adaptations in the short-term and long-term strategies for medical education, and provision of financial guidance.

8.
BJS Open ; 5(SUPPL 1):i11, 2021.
Article in English | EMBASE | ID: covidwho-1493706

ABSTRACT

Introduction: COVID-19 led to global disruption of healthcare and many students volunteered to provide clinical support. Volunteering to work was a unique medical education opportunity;however, it is unknown whether this was a positive learning experience. Methods: The COVID Ready 2 study is a national cross-sectional study of all medical students at UK medical schools. We will compare opinions of those who did and did not volunteer to determine the educational benefit and issues they faced. We will use thematic analysis to identify themes in qualitative responses, in addition to quantitative analysis. Results: The primary objective is to explore the effect of volunteering during the pandemic on medical education in comparison to those who did not volunteer. Our secondary objectives are to identify: whether students would be willing to assume similar roles in a non-pandemic setting;if students found the experience more or less beneficial than traditional hospital placements and reasons for this;what the perceived benefits and disadvantages of volunteering were;the difference in perceived preparedness between students who did and did not volunteer for foundation training year one and the next academic year;training received by volunteers;and to explore issues associated with volunteering, including safety issues and issues with role and competence. Conclusions: We anticipate this study will help identify volunteer structures that have been beneficial for students, so that similar infrastructures can be used in the future;and help determine whether formal voluntary roles should be introduced into the non-pandemic medical curriculum.

9.
BJS Open ; 5(SUPPL 1):i3, 2021.
Article in English | EMBASE | ID: covidwho-1493689

ABSTRACT

Introduction: Childhood cancers are a leading cause of non-communicable disease deaths for paediatric patients around the world. The COVID-19 pandemic may have impacted on global children's cancer services, which can have consequences for childhood cancer outcomes. The Global Health Research Group on Children's Non-Communicable Diseases (Global Children's NCDs) is currently undertaking the first international study to determine the variation in paediatric cancer management during the COVID-19 pandemic, and the short to medium term impacts on childhood cancer outcomes. Methods and analysis: This is a multicentre, international, cohort study that will use routinely collected hospital data in a de-identified and anonymised form. Patients will be recruited consecutively into the study, with a 12-month follow-up period. Patients will be included if they are below the age of 18 years and undergoing anti-cancer treatment for the following cancers: Acute lymphoblastic leukaemia, Burkitt's Lymphoma, Hodgkin's lymphoma, Wilms Tumour, Sarcoma, Retinoblastoma, Gliomas, Medulloblastomas and Neuroblastomas. Patients must be newly presented or be undergoing active anti-cancer treatment from the 12th March 2020 to the 12th December 2020. The primary objective of the study is to determine 30-and 90-day all-cause mortality rates. This study will examine the factors that influenced these outcomes. Chi-squared analysis will be used to compare mortality between low and middle-income countries and high-income countries. Multilevel, multivariate logistic regression analysis will be undertaken to identify patient-level and hospital-level factors affecting outcomes with adjustment for confounding factors. Ethics and dissemination: At the host centre, this study was deemed to be exempt from ethical committee approval due to the use of anonymised registry data. At other centres, participating collaborators have gained local approvals in accordance with their institutional ethical regulations. Collaborators will be encouraged to present the results locally, nationally, and internationally. The results will be submitted for publication in a peer reviewed journal.

10.
Journal of Pharmaceutical Research International ; 33(43A):15-23, 2021.
Article in English | Web of Science | ID: covidwho-1411870

ABSTRACT

In today's world face detection is the most important task. Due to the chromosomes disorder sometimes a human face suffers from different abnormalities. In the recent scenario, the entire globe is facing enormous health risks occurred due to Covid-19. To fight against this deadly disease, consumption of drugs is essential. Consumption of drugs may provide some abnormalities to human face. For example, one eye is bigger than the other, cliff face, different chin-length, variation of nose length, length or width of lips are different, etc. To assess these human face abnormalities, the application of computer vision is favoured in this study. This work analyses an input image of human's frontal face and performs a segregation method to separate the abnormal faces. In this research work, a method has been proposed that can detect normal or abnormal faces from a frontal input image due to COVID-19. This method has used Fast Fourier Transformation (FFT) and Discrete Cosine Transformation offrequency domain and spatialdomain analysis to detect those faces.

11.
Lecture Notes on Data Engineering and Communications Technologies ; 70:367-381, 2021.
Article in English | Scopus | ID: covidwho-1366337

ABSTRACT

Now a days, E-health or electronic health monitoring system is one of the major applications of wireless body area network (WBAN). Body area network or body sensor network (BSN) is an evolving technology in computer sphere and performs exceedingly effective responsibility in the civilization, primarily in health service industries. BAN eases in examining crucial symptoms of a patient/elderly and can monitor his/her activities in routine life to deliver him/her a precise care. Owing to the epidemic of COVID-19, we are struggling through an unexpected adverse pandemic situation and now healthy lifestyle and disease preclusion are a socio-economic issue. Therefore, it is required to stay healthy and take balanced diet which can help us to gain immunity and protect us from severe ailments. In this paper, we are proposing a body area network for an automatic dietary monitoring system that can gather food intake information through image, audio, accelerometer sensors, and by analyzing these data, the system can measure the food type/volume, nutritional benefit of consumed food, and also the eating behavior of a person. The system is low-cost, scalable, and energy aware. We have implemented a prototype of our proposed BSN, named ‘DietSN.’ © 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

12.
Journal of the Indian Medical Association ; 119(5):47-49, 2021.
Article in English | EMBASE | ID: covidwho-1357801

ABSTRACT

Patients on Dual Antiplatelet therapy often suffer from surgical problems that necessitate urgent surgery. Platelet dysfunction induced by the medications exposes them to the risk of major perioperative haemorrhage. Cessation of antiplatelet agents on the other hand increases the risk of adverse outcome due to their concomitant medical illnesses. We report our experience of performing major surgeries in two patients receiving dual antiplatelet therapy whose medications had to be continued perioperatively. The multidisciplinary care involved in optimisation and monitoring of the patients ensured a successful immediate recovery. We lost one of the patients who contracted COVID-19 later and succumbed from his medical problems but could discharge the other patient successfully.

13.
British Journal of Medical Practitioners ; 14(1), 2021.
Article in English | EMBASE | ID: covidwho-1353309

ABSTRACT

Aim-The mortality from Coronavirus Disease 2019 (COVID-19) has remained a significant medical challenge. Internationally, patient demographics and pre-existing co-morbidities are significant determinants of mortality from COVID-19. The mortality-risk in a local population is difficult to determine. The objective of our study is to examine the risk posed by epidemiological and demographic variables, and co-morbidities in our local population. Method-A retrospective, observational study was conducted on confirmed COVID-19 patients, identified from the local microbiology database. A search of the electronic patient records was performed to collect demographic details and co-morbidities. Chi-square test and logistic regression analysis of the demographic variables and co-morbidities were utilised to calculate the predictive-risk for in-hospital mortality of adult COVID-19 patients. Results-Final analysis included 263 samples. Univariate logistic regression analysis was performed using age as an independent categorical predictor with two cohorts – those <60 and those ≥60 years old. Age (2 =17.12, p<0.001) was found to be an independent predictor of mortality – this was independent of sex (2 =1.784, p<0.182). Charlson Comorbidity Index (CCI) score was found to be a significant predictor of adverse outcome. The odds of death for patients with CCI scores 0-4 was less than half (44.8%) of those with CCI scores ≥5 (p=0.005). Patients with no pre-existing medical conditions had a lower mortality-risk (OR=0.181, p=0.022) than those with known medical conditions. Pre-existing renal disease predicted a poor outcome (OR=1.996, p=0.027). The odds of death for the patients coming from their own-home was only 26% of the odds for those from a long-term care-home. Long-term care facility, advanced age (OR=1.058, p <0.001), and long-term oral steroid (OR=3.412, p=0.016) use were all associated with a poor prognosis. Conclusion-People aged ≥60 years, residence in a long-term care-home, pre-existing renal diseases, a high CCI score and long-term oral steroids use were associated with an increased mortality-risk.

14.
Journal of Pharmaceutical Research International ; 33(38A):202-217, 2021.
Article in English | Web of Science | ID: covidwho-1339719

ABSTRACT

The novel coronavirus disease (COVID-19) has created immense threats to public health on various levels around the globe. The unpredictable outbreak of this disease and the pandemic situation are causing severe depression, anxiety and other mental as physical health related problems among the human beings. This deadly disease has put social, economic condition of the entire world into an enormous challenge. To combat against this disease, vaccination is essential as it will boost the immune system of human beings while being in the contact with the infected people. The vaccination process is thus necessary to confront the outbreak of COVID-19. The worldwide vaccination progress should be tracked to identify how fast the entire economic as well as social life will be stabilized. The monitor of the vaccination progress, a machine learning based Regressor model is approached in this study. This vaccination tracking process has been applied on the data starting from 14th December, 2020 to 24th April, 2021. A couple of ensemble based machine learning Regressor models such as Random Forest, Extra Trees, Gradient Boosting, AdaBoost and Extreme Gradient Boosting are implemented and their predictive performance are compared. The comparative study reveals that the Extra trees Regressor outperforms with minimized mean absolute error (MAE) of 6.465 and root mean squared error (RMSE) of 8.127. The uniqueness of this study relies on assessing as well as predicting vaccination intake progress by utilizing automated process offered by machine learning techniques. The innovative idea of the method is that the vaccination process and their priority are considered in the paper. Among several existing machine learning approaches, the ensemble based learning paradigms are employed in this study so that improved prediction efficiency can be delivered.

15.
Frontiers in Marine Science ; 8:11, 2021.
Article in English | Web of Science | ID: covidwho-1262608

ABSTRACT

The impact of the coronavirus disease 2019 (COVID-19) lockdown in the Hooghly estuarine region, India is assessed using the total suspended matter (TSM) concentration. The estimation of TSM is performed using Landsat-8/operational land imager (OLI), and an intercomparison of TSM load during the pre-lockdown and lockdown periods is done. It is observed that during the lockdown period, TSM reduced by 30-50%. This is a significant observation considering the ecological balance of the region and the fact that it is home to the largest mangroves in the world. This change in suspended matter presumably reflects the influence of reduction in anthropogenic activities owing to the COVID-19 lockdowns, such as industries, closure of shipping activities (through less dredging), and brick kilns (through less sediment removal), which are generally the primary contributors in this region. Even though these observed changes are representative of the positive influence of the COVID-19 lockdown, its implications in estuarine biogeochemistry still remain poorly quantified. The decrease in TSM content may increase light penetration, thereby increasing the primary productivity. In addition, low sediment load reaching the Bay of Bengal could influence the carbon export due to reduction in ballasting effect as reported from this region. In summary, the influence of the COVID-19 lockdown on the biogeochemistry of the aquatic ecosystem appears rather complex than thought earlier and may vary regionally based on local hydrodynamics. The analysis elucidates the complex interplay of regional lockdown and its implication in modulation of local biogeochemistry. However, the relative importance of each process in the Hooghly estuary remains to be fully evaluated.

17.
Adv. Intell. Sys. Comput. ; 1270:535-542, 2021.
Article in English | Scopus | ID: covidwho-1002038

ABSTRACT

Now, the world is struggling through an unexpected adverse situation due to the COVID-19 pandemic. Governments are spending significant resources so that people can get rid of the disease and develop and maintain their health. Healthy lifestyle and disease preclusion are a socio-economic issue now. According to WHO [1], diet is an important factor to gain immunity and protect people from severe ailments. Therefore, it is required to stay acquainted with the equation between a balanced diet and a healthy life. Unfortunately, in the developing countries like India, there is no proper dietary assessment system specially for the rural people. The popular traditional manual approaches are biased, subjective and inaccurate. Our aim is to develop a low-cost, power-aware novel framework for an automated dietary monitoring system using wearable sensors that can monitor eating habits, food intake, nutritional content of the food and calorie intake along with a feedback to the user. The system is potentially applicable in Indian scenario and effective to analyse versatile Indian foods. © 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

18.
IEEE Int. Conf. Comput. Commun. Autom., ICCCA ; : 611-616, 2020.
Article in English | Scopus | ID: covidwho-991070

ABSTRACT

A graph consists of a set of nodes representing some objects and a set of edges representing the interactions between those objects. An edge can be weighted, unweighted, directed or undirected depending on the problem. Generally, a node represents an object associated with a single feature. For example, in the historical 'Königsberg Bridge' problem, a node represents a piece of land, and an edge is a connecting bridge between two pieces of lands. In a complex network, a node may represent much more than a singular concept. 'Graph Embedding' is an approach to map an object of a graph into a fixed-length vector that captures many key features represented by the graph. In this article, we introduce a novel concept called 'Cross-Vertex Embedding' which is the reverse of graph embedding;it is a way to associate feature vectors of objects as nodes in a graph or a network, and then use graph-theoretic approaches for solving the problem at hand. We have applied this method for analysing geographical variations of Sars-CoV-2 strains, by mapping the kmer distribution of a virus sample as nodes and their similarities as edges. It is a generic computational method which may have many applications beyond the analysis of sars-CoV-2 data. © 2020 IEEE.

19.
J Laryngol Otol ; 134(8): 696-702, 2020 Aug.
Article in English | MEDLINE | ID: covidwho-690268

ABSTRACT

BACKGROUND: The coronavirus disease 2019 pandemic has resulted in various changes in knowledge, attitude and practice among doctors. A survey was conducted of otolaryngologists in India regarding these aspects in relation to the coronavirus disease 2019 pandemic. METHOD: Otolaryngologists from West Bengal (India) were invited to participate in an online self-administered survey. Data were collected and analysed using appropriate methods. RESULTS: Responses from 133 participants, grouped into 4 groups by their career stage, were collected and analysed. Of the participants, 36.8 per cent were directly involved in treating a known or suspected coronavirus disease 2019 patient, although 66.2 per cent considered the personal protective equipment inadequate. Ninety-four per cent indicated that their willingness to perform procedures depended on personal protective equipment availability. Of the respondents, 83.5 per cent revealed additional mental stress due to the pandemic. Of the participants, 41.4 per cent took hydroxychloroquine as coronavirus disease 2019 prophylaxis. CONCLUSION: This study provides an insight into which issues may need attention, to help ENT surgeons tackle the coronavirus disease 2019 pandemic more effectively based on analysis of responses in the survey.


Subject(s)
Coronavirus Infections/epidemiology , Otolaryngologists/psychology , Pneumonia, Viral/epidemiology , Surveys and Questionnaires/standards , Attitude of Health Personnel , Awareness , Betacoronavirus/isolation & purification , COVID-19 , Career Choice , Clinical Decision-Making/ethics , Coronavirus Infections/virology , Humans , India/epidemiology , Knowledge , Mental Health/statistics & numerical data , Otolaryngologists/education , Otorhinolaryngologic Surgical Procedures/methods , Pandemics , Personal Protective Equipment/statistics & numerical data , Personal Protective Equipment/supply & distribution , Pneumonia, Viral/virology , Practice Patterns, Physicians'/trends , Risk Assessment , SARS-CoV-2 , Surgeons/education , Surgeons/statistics & numerical data
20.
Journal of the Indian Medical Association ; 118(6):51-54, 2020.
Article in English | EMBASE | ID: covidwho-678606

ABSTRACT

The ongoing novel coronavirus pandemic poses significant challenge to mankind in terms of healthcare resources and economic slowdown. Though mainly manifested as pneumonia, the virus can affect the digestive system producing a gamut of symptoms. The main clinical issues related to gastroenterology include possibility of faeco-oral route of transmission, occurrence of isolated digestive symptoms, abnormalities in liver function tests that correlate with disease severity, and effective infection control measures for endoscopy procedures.

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