Your browser doesn't support javascript.
Show: 20 | 50 | 100
Results 1 - 20 de 36
Filter
Add filters

Journal
Year range
1.
Revista Del Cuerpo Medico Del Hospital Nacional Almanzor Aguinaga Asenjo ; 14(3):410-417, 2021.
Article in Spanish | Web of Science | ID: covidwho-1631722

ABSTRACT

Background: Peru was considered the highest fatality rate due to COVID-19 (9.39%);Lambayeque being in July 2020 it presented the highest seroprevalences reported in the world for SARS-CoV-2 with 29.5%. Objective. To describe the experience of the strategy implemented by Rapid Response and Clinical Follow-up Teams of COVID-19 Cases (ERSC) to reduce COVID-19 lethality, during the first wave in 2020. Strategy description. Operational research was conducted in a retrospective cohort. The population studied was made up of suspected and confirmed COVID-19 cases during the April-December 2020 period, treated at the Lambayeque Healthcare Network. The methodology was carried out under the Implementation and operation of the ERSCs that performed Epidemiological Surveillance, tracking and home clinical follow-up of suspected and confirmed COVID-19 cases. The initial patient recruitment and screening process was carried out through three processes: differentiated screening, "call center" and rumor surveillance. After screening, the patient was categorized based on the care required. Cases were assigned to rapid response teams who went to the patient's home to carry out the activities indicated according to the type of brigade. There were four brigades: home clinical evaluation brigades, home diagnostic or laboratory brigades, clinical follow-up brigades and mole brigades. findings. Case fatality in moderate/severe patients decreased from 60% (Epidemiological Week 19) to 10% (Epidemiological Week 50) (p<0.001). The strategy implemented and executed reduced COVID-19 case-fatality in the population served.

2.
Mindanao Journal of Science and Technology ; 19(2):164-183, 2021.
Article in English | Web of Science | ID: covidwho-1619162

ABSTRACT

Non pharmaceutical interventions (NPIs) were the mainstay to control the spread of COVID-19 at the start of the pandemic. Mathematical modeling has played an important role in determining the effects of these NPIs. An agent-based model and a compartmental model (i.e., extended susceptible-exposed-infectious-recovered) were formulated to simulate the spread of a respiratory infection between two neighboring communities. The study aimed to determine the effects of non pharmaceutical interventions such as social distancing, community lockdowns and the use of protective gears. The chance of traveling to another community and within the community during the lockdown, and an initial percentage of exposed and infected individuals in both communities influenced the increase in the number of newly infected individuals on both models. It was shown through simulations that an increase in exposed individuals increased the number of new infections;hence, the need for amplified testing-isolation efforts. Protection level of 75-100% effectiveness impeded disease transmission. Interor infra-community travels can be an option given that strict preventive measures (e.g., non-pharmaceutical interventions) were observed. The ideal setup for neighboring communities was to implement lockdown when there is a high risk of local transmission while individuals observe social distancing, maximizing protective measures and isolating the exposed. The results of the agent-based and compartmental models showed similar qualitative dynamics;the differences were due to different spatiotemporal heterogeneity and stochasticity. These models can aid decision-makers in designing infectious disease-related policies to protect individuals while continuing population movement.

3.
European Journal of Nuclear Medicine and Molecular Imaging ; 48(SUPPL 1):S407-S407, 2021.
Article in English | Web of Science | ID: covidwho-1610359
4.
International Journal of Morphology ; 39(6):1663-1668, 2021.
Article in Spanish | Web of Science | ID: covidwho-1576236

ABSTRACT

One of the challenges in the use of new methodologies and technologies during the health crisis caused by the SARS-CoV-2 virus has been to keep students motivated in virtual environments. Therefore, the objective of this work was to assess the usefulness of audiovisual materials created with chroma key in the flipped classroom methodology to teach some theoretical concepts in the subject of Developmental Biology in the Degree in Biology at the University of Alicante. For this, the teaching staff of the subject produced videosusing chroma key technology, which were viewed by the students before the online theoretical sessions. During the sesessions, the students put into practice the concepts discussed in the videos by carrying out activities. The students' perception of the methodology used was obtained through an opinion questionnaire, in which 90 % of the respondents stated that the combined use of the flipped classroom with chroma key facilitated learning by adapting to the rhythm and educational needs of each student. They also highlighted that the use of virtual scenery with chroma key made online teaching more enjoyable and attractive. In conclusion, the chroma key is an effective tool for creating educational materials in the flipped classroom that is also attractive and motivating for students

5.
Gaceta Medica De Mexico ; 157(3):246-254, 2021.
Article in Spanish | Web of Science | ID: covidwho-1552051

ABSTRACT

Introduction: COVID-19, caused by the betacoronavirus SARS-CoV-2, has overwhelmed the world's health systems. Objective: To describe the epidemiological characteristics of patients treated in a tertiary care hospital. Methods: A retrospective cohort study of patients diagnosed with or suspected of having COVID-19 from March 23 to July 31, 2020 was conducted. Results: 4,401 patients were hospitalized at the Central Military Hospital, out of which 35 % were beneficiaries, 26 % civilians, 28 % active military, and only 11%, retired military. Male gender predominated, both in hospitalized patients and in those who died, as well as the O+ group and absence of comorbidities;among the observed comorbidities, the main ones were overweight and diabetes. Hospitalized patients' median age was 49 years, while median age of those who died was 62 years;women older than 51 years had a higher risk of dying. Adjusted case fatality rate was 18.5 %;50 % died within the first six days. Conclusions: In this study, the epidemiological characteristics and main comorbidities in Mexican patients with SARS-CoV-2 infection were identified.

6.
Egyptian Journal of Medical Human Genetics ; 22(1):4, 2021.
Article in English | Web of Science | ID: covidwho-1551271

ABSTRACT

Purpose: To determine the relationship between the genotypes of the TaqI polymorphism of VDR gene and the clinical forms of COVID-19 in Cuban patients. Methods: TaqI polymorphism was determined by the PCR in 104 Cuban patients, who suffered different clinical forms of COVID-19. Results: There was a greater possibility of presenting symptomatic forms [OR = 2.081, 95% CI: 0.243-17.842], even severe [OR = 1.200, 95% CI: 0.217-6.638], related to the tt genotype. Conclusion: There are signs of association between the risk of developing COVID-19 and the genotypes of the TaqI polymorphism of the VDR gene in the studied Cuban patients.

7.
33rd International Conference for High Performance Computing, Networking, Storage and Analysis: Science and Beyond, SC 2021 ; 2021.
Article in English | Scopus | ID: covidwho-1551077

ABSTRACT

Structure-based Deep Fusion modelswere recently shown to outperform several physicsand machine learning-based protein-ligand binding affinity prediction methods. As part of a multi-institutional COVID-19 pandemic response, over 500 million small molecules were computationally screened against four protein structures from the novel coronavirus (SARS-CoV-2), which causes COVID-19. Three enhancements to Deep Fusion were made in order to evaluate more than 5 billion docked poses on SARS-CoV-2 protein targets. First, the Deep Fusion concept was refined by formulating the architecture as one, coherently backpropagated model (Coherent Fusion) to improve bindingaffinity prediction accuracy. Secondly, the model was trained using a distributed, genetic hyper-parameter optimization. Finally, a scalable, high-Throughput screening capability was developed to maximize the number of ligands evaluated and expedite the path to experimental evaluation. In this work, we present both the methods developed for machine learning-based high-Throughput screening and results from using our computational pipeline to find SARS-CoV-2 inhibitors. © 2021 IEEE Computer Society. All rights reserved.

8.
16th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO) ; 1401:685-694, 2021.
Article in English | Web of Science | ID: covidwho-1540192

ABSTRACT

Global energy consumption is growing due to multiple reasons, such as the COVID-19 pandemic. In order to improve the efficiency of energy consumption and thus contribute to the protection of the environment, governments are implementing new energy efficiency policies. Prediction of energy consumption is one of the most important objectives in this regard. Forecasting algorithms based on machine learning approaches have proven to be a robust solution to provide predictions based on energy consumption data. In this paper, we present a comparative study of different forecasting approaches on an energy consumption dataset collected from a Paraguayan electricity distribution provider. In the analysis, historical windows, W, of {7, 14, 28, 84} days and a prediction horizon, h of one day were used. Models were evaluated using the coefficient of determination (R-2), the mean absolute error(MAE), the root mean squared error (RMSE), and the mean absolute percentage error (MAPE). The results achieved show that, among the techniques studied, Artificial Neural Networks are the best strategy to capture the complexity of the data. Furthermore, the performance of linear regression is outstanding, taking into account its simplicity.

9.
Research and Practice in Thrombosis and Haemostasis ; 5(SUPPL 2), 2021.
Article in English | EMBASE | ID: covidwho-1509188

ABSTRACT

Background: Limited data exists on the thrombosis risk in pediatric patients hospitalized with COVID-19 or Multisystem Inflammatory Syndrome in Children (MIS-C). Aims: Describe clinical characteristics and risk factors of thrombosis in pediatric patients diagnosed with COVID-19/MIS-C. Methods: Reviewed a single-center IRB approved registry of patients (<21 years) hospitalized for COVID-19/MIS-C during March 1, 2020-March 1, 2021. Results: 276 patients were admitted with COVID -19/MIS-C. Demographic and hemostasis markers for each disease subtype are reported in Table 1. Prolonged prothrombin time was the most common coagulation defect and D-dimer ≥ 5 FEU was more common in MIS-C than COVID-19. There were 13 patients with thrombotic complications (4.71%): 7 deep venous thrombosis (DVT), 4 superficial vein thrombosis, 2 pulmonary embolism (PE), 1 arterial ischemic stroke (AIS), and 1 cerebral sinus vein thrombosis (CSVT). Two patients had >1 type of thrombosis. Four had thrombosis on admission (1 CSVT, 1 AIS, 1 DVT/PE, 1 PE), 8 had central line or ECMO related thrombosis and 1 patient without central line associated thrombosis had sickle cell disease. Clinical descriptors of thrombotic vs. non-thrombotic events were compared (Table 2). MIS-C occurred in 61.54% of patients that developed thrombosis (group also with higher BNP and procalcitonin levels). Prophylactic anticoagulation was given to patients 13 and older or with additional risk factors per our institutional thrombosis risk score. Seven of the 9 patients that developed thrombosis more than 24 hours after hospitalization (77.78%) were receiving prophylaxis. No prophylaxis was given to 185 patients and only 6 of those developed thrombosis (0.03%). (Table Presented) Conclusions: Although a direct comparison can not be made to reported p ediatric thrombosis in hospitalized patients (0.58%) due to inclusion of patients 18-20 years in our study, our prevalence rate of 4.71% suggests COVID-19/MIS-C should be considered an additional risk factor for pediatric thrombosis.

10.
Preprint in English | PUBMED | ID: ppcovidwho-292193

ABSTRACT

The 22nd annual Bioinformatics Open Source Conference (BOSC 2021, open-bio.org/events/bosc-2021/) was held online as a track of the 2021 Intelligent Systems for Molecular Biology / European Conference on Computational Biology (ISMB/ECCB) conference. Launched in 2000 and held every year since, BOSC is the premier meeting covering topics related to open source software and open science in bioinformatics. In 2020, BOSC partnered with the Galaxy Community Conference to form the Bioinformatics Community Conference (BCC2020);that was the first BOSC to be held online. This year, BOSC returned to its roots as part of ISMB/ECCB 2021. As in 2020, the Covid-19 pandemic made it impossible to hold the conference in person, so ISMB/ECCB 2021 took place as an online meeting attended by over 2000 people from 79 countries. Nearly 200 people participated in BOSC sessions, which included 27 talks reviewed and selected from submitted abstracts, and three invited keynote talks representing a range of global perspectives on the role of open science and open source in driving research and inclusivity in the biosciences, one of which was presented in French with English subtitles.

12.
Annals of Hepatology ; 19:26-27, 2020.
Article in English | PMC | ID: covidwho-1384988

ABSTRACT

Background and aim: Recent studies on SARS-CoV-2 have shown that the incidence of liver injury varies between 14.8% and 53%, mainly demonstrable by abnormal ALT / AST levels accompanied by slightly elevated bilirubin levels. Reports of autopsies around the word of patients that death from COVID-19 shows severe liver damage ranging from 58.06% to 78% of the cases. There is evidence that the elevation of transaminases (ALT / AST) translates into a more serious clinical profile. Besides, the elevation of AST is related with a high risk of mortality, so it must be monitored during hospitalization. Thus, it is important to know the behavior of liver injury and mortality in our population. Aim(s): To determine transaminase levels in patients with SARS-Cov-2 and its relationship with mortality. Methods. All the patients admitted with a positive SARS-Cov-2 PCR test were analyzed, the mean and standard deviation of AST, ALT, and other variables of the liver biochemistry, hemoglobin, leukocyte, fibrinogen, and TP were obtained. A Kapplan Meier curve was made for survival to compare patients with and without transaminases elevation. Result(s): We studied a total of 92 patients: 79 (86%) were male, age 56.62 +/- 13.70 years, weight 72.5 +/- 14.30 kg, height 1.63 +/- 0.10 m, BMI 27.09 +/- 5.04 kg / m2. Of the 92 patients, 68 (73%) had an elevation of transaminases at admission. Patient's whit elevation of transaminases (68): 63 (93%) were males, the mean values at admission of AST and ALT were 74.91 +/- 5.83 and 72.75 +/- 5.74, respectively. The average hospital stay was 6.1 +/- 4.1 days in de group with no elevation of transaminases and 7.25 +/- 5.3 days for the group with elevation. Other variables of liver biochemistry, hemoglobin, leukocyte, fibrinogen, and TP are presented in Table 1. The data referring to the probability of requiring ICU income. And probability of requiring mechanical ventilation are presented in Table 2. The group without and with elevated transaminases were compared to observe if elevation of transaminases could influence mortality, obtaining a non-statistically significant p. (x2 = 0.087, p = 0.782). Conclusion(s): In the studied population, the predominant gender was male, the population with elevated transaminases had a 3.82 risk of entering the ICU and 2.02 times more of requiring mechanical ventilation. The elevation of transaminases does not influence survival. The analysis of the entire database will have to be done, since this is a preliminary study (Fig. 1). Conflicts of interest: The authors have no conflicts of interest to declare. Copyright © 2020

13.
AHFE Conference on Human Factors and Ergonomics in Healthcare and Medical Devices, 2021 ; 263:746-752, 2021.
Article in English | Scopus | ID: covidwho-1359916

ABSTRACT

This research presents a statistics analysis of the morbidity and mortality of occupational risks as a result of companies and workers affiliated to the General System of Occupational Risks in Colombia during the 2019 and 2020 period, also framed in the events generated due to the pandemic caused by the COVID-19 disease. For this purpose, a quantitative study with descriptive scope was carried out, based on statistical data from the Federation of Colombian Insurers - FASECOLDA, obtained from the different Occupational Risks Administrators. According to the above, a decrease in the number of companies affiliated to the General System of Occupational Risks was observed in November 2019, where a total of 882.283 affiliated companies were registered, while for this same month in 2020, only 826.950 were evidenced. In the same way, this brought with it a decrease in the number of affiliated workers, from 11.032.433 to 10.408.531 workers in the same period, representing a decrease of 6%. On the other hand, it was established that qualified as work-related illnesses increased exponentially from 8.202 illnesses in the year 2019 to a total of 49.788 in 2020, where the most representative increase was evidenced in the Health and Social Services Sector, which increased from 481 cases per year to 34.750, a value corresponding to 70% of the total diseases classified as work-related in 2020. In second place, the Real Estate Sector stands out, which presented an increase from 979 to 5.288 diseases, followed by the Transport, Storage and Communications sector with an increase from 381 to 1.489 cases. Regarding qualified as work related accidents in 2019 and 2020, a decrease of 172.139 cases was established, representing a variation of 28% less. In the same way, the mortality generated by work accidents ranged from 488 to 375, consolidating a 23% of decrease in deaths compared to the previous year, a situation that differs from deaths caused by occupational diseases, which increased from 4 to 76 cases. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.

14.
Perspectivas Online: Biologicas e Saude ; 11(37):62-70, 2021.
Article in Portuguese | CAB Abstracts | ID: covidwho-1353045

ABSTRACT

The exacerbated consumption of ultraprocessed foods is associated with an increase in obesity rates, favoring the prevalence of chronic non-communicable diseases. In this sense, the objective of the study was to investigate the prevalence of consumption of ultra-processed foods among professionals working in Primary Care during the COVID-19 pandemic in Montes Claros, Minas Gerais. This is a descriptive study, with health professionals working in primary care in Montes Claros. Data collection occurred through a questionnaire addressing the consumption of ultra-processed foods, in addition to the sociodemographic variables, behavioral habits and anthropometric profile, available on google forms from September to October 2020. Descriptive analysis was used to estimate the prevalence of the outcome variable and association verified by bivariate analysis considering p <0.05. 210 health professionals were interviewed, most of them were female (75.7%), were partners (71.4%), were non-white (57.6%), had residency in the health area (50, 5%), worked for more than 5 years (95.7%) and had another type of contractual modality (61.4%). The prevalence of consumption of ultra-processed foods in this period was considered high (41%). The prevalence of consumption of ultra-processed foods points to the need for health promotion actions for professionals.

17.
Revista Chilena De Derecho Y Tecnologia ; 10(1):309-327, 2021.
Article in Spanish | Web of Science | ID: covidwho-1323398

ABSTRACT

The crisis product of Covid-19 in Colombia has affected a broad range of human rights, including the ability of people to access justice in a timely and effective manner. This paper aims to analyze the impact that Covid-19 has had on human rights, specifically, the right to access to justice, and the influence of new technological environments that have contributed to guaranteeing and protecting these rights. It will describe how the Colombian State adopts measures to prevent human rights and fundamental freedoms from being limited, and, in this way, the State must continue to uphold and protect international human rights standards.

18.
Rev Esp Quimioter ; 34(4): 337-341, 2021 Aug.
Article in English | MEDLINE | ID: covidwho-1317435

ABSTRACT

OBJECTIVE: The study aims to describe characteristics and clinical outcome of patients with SARS-CoV-2 infection that received siltuximab according to a protocol that aimed to early block the activity of IL-6 to avoid the progression of the inflammatory flare. METHODS: Retrospective review of the first 31 patients with SARS-CoV-2 treated with siltuximab, in Hospital Clinic of Barcelona or Hospital Universitario Salamanca, from March to April 2020 with positive polymerase-chain reaction (PCR) from a nasopharyngeal swab. RESULTS: The cohort included 31 cases that received siltuximab with a median (IQR) age of 62 (56-71) and 71% were males. The most frequent comorbidity was hypertension (48%). The median dose of siltuximab was 800 mg ranging between 785 and 900 mg. 7 patients received siltuximab as a salvage therapy after one dose of tocilizumab. At the end of the study, a total of 26 (83.9) patients had been discharged alive and the mortality rate was 16.1% but only 1 out of 24 that received siltuximab as a first line option (4%). CONCLUSIONS: Siltuximab is a well-tolerated alternative to tocilizumab when administered as a first line option in patients with COVID-19 pneumonia within the first 10 days from symptoms onset and high C-reactive protein.


Subject(s)
Antibodies, Monoclonal/therapeutic use , COVID-19/drug therapy , Aged , Antibodies, Monoclonal, Humanized/therapeutic use , C-Reactive Protein/analysis , COVID-19/mortality , Cytokine Release Syndrome/drug therapy , Cytokine Release Syndrome/etiology , Disease Progression , Female , Humans , Hypertension/complications , Interleukin-6/antagonists & inhibitors , Interleukin-6/blood , Male , Middle Aged , Retrospective Studies , Salvage Therapy , Treatment Outcome
19.
Revista De Nefrologia Dialisis Y Trasplante ; 41(2):119-124, 2021.
Article in Spanish | Web of Science | ID: covidwho-1292516

ABSTRACT

Objectives: Assess frequency of swabbing, positive and lethality rate cases of SARS-CoV-2 in transplant patients on the waiting list or evaluation in a Public Hospital of Argentina. Methods: A retrospective analysis was carried out of the patients in the unit (transplanted, on the waiting list or under evaluation for transplantation) until September 30, 2020. Each patient was searched individually in the SINTRA, in databases of patients of a transplant unit and in the SISA system, to find: swabbing, percentage of tests positivity, general mortality and that related to SARS-CoV-2. Age, sex, time on dialysis, diabetic condition, hypertension and chronic obstructive pulmonary disease were considered. Statistical analysis was performed using Student, Mann Whitney and Chi square as appropriate. Results: During 2020, a total of 1,513 patients were under follow-up in the Kidney Transplant Unit, including kidney transplants under follow-up (n=515), patients on the renal waiting list (n=413) and patients under evaluation for transplantation (n=585). A total of 103 positive cases of COVID-19 were registered, out of 477 swabs performed (positivity of 32.51%). The overall case fatality rate was of the 21.88%, varying according to the patient was on the waiting list (22.73%) in transplant evaluation (30%) or transplanted (35.48%). These differences did not reach statistical significance. Conclusions: A descriptive analysis of the effects of the pandemic on our population is presented. It is important to note that our center cares for a high percentage of low-income patients and a large geographic area, so the results may have been biased by these characteristics. In our transplanted population, a 10-fold increase in mortality observed in the general population was observed. The presence of a higher degree of immunosuppression and risk factors (diabetes, age, hypertension) could explain what was observed.

20.
Archivos Latinoamericanos de Nutricion ; 70(3):215-234, 2020.
Article in Spanish | Scopus | ID: covidwho-1267072

ABSTRACT

The impact of the pandemic caused by COVID-19 may deepen the situations of malnutrition, where it will be necessary to adapt food programs to this new context. The objective of this work was to present the methodology and the main results of the process of formulating a federal guide based on scientific evidence and adapted to the reality of the child and adolescent population that attend school canteens in the 24 jurisdictions of Argentina. It was observed that the modalities for the implementation of SC during the pandemic were: food modules (the most frequent);food modules delivered at school with regular SC support and, food and/or snacks delivered daily. There was little evidence at the global and regional level on specific recommendations applied to the implementation of SC, although recommendations on hygiene and food handling were found. Based on a participatory process among key actors, specific recommendations were obtained according to the dimensions of food and nutrition security (FNS). It is concluded that it is necessary to increase participatory experiences in the design of recommendations based on evidence, adapted to the territory and that assume a comprehensive approach from the dimensions of FNS. Arch Latinoam Nutr 2020;70(3): 215-234. © 2020 Archivos Latinoamericanos Nutricion. All rights reserved.

SELECTION OF CITATIONS
SEARCH DETAIL
...