关键词： COVID-19 pandemic   Electricity demand   Electricity consumption   Lockdown   Impact   Difference-in-differences   ENERGY  

摘要： Lockdowns were one of the main preventive measures adopted by governments against the COVID-19 spread. Lockdowns changed people's routines and affected the activities of economic sectors in every country. Electric power sectors were also affected. The aim of this research is to determine the impact of preventive measures adopted by the Colombian government on the electric power demand of the main economic activities, using the difference-in-differences method and two-stage least squares estimation. In addition, a comparative analysis of the behaviour of the National Interconnected System total demand and disaggregated demand by markets in 2020, compared to previous years, was carried out. We evidence the recomposition of electricity consumption related to mandatory preventive isolation during the pandemic. The day with a more significant percentage difference compared with 2019 was April 10th, showing a decrease of 21.28 %. Therefore, this study contributes to improving the predictive models of the country's demand, optimizing the needs of future generations. Likewise, this study provides resources to optimize supplier portfolios and energy contracts for high-demand consumers.

关键词： Pandemic   Research fronts   SARS-CoV-2   Scientific knowledge  

摘要： Background: The COVID-19 pandemic paralyzed the world for over three years, generating unprecedented social changes in recent human history. Aims: We aimed to scientometrically summarize a global and temporal overview of publications on COVID-19 in the two worst years of the pandemic and its progression in early 2022, after the start of vaccination. Methods: : Using the Web of Science database, this review covered the period from late 2019 to March 2022 and included all publications identified using the following terms: "SARS-CoV-2", "COVID-19", "Coronavirus Disease 19", and "2019-nCoV". We retrieved 268,904 publications, with evident global spreading, demonstrating that the pandemic triggered worldwide scientific research efforts. Results: Within the dataset, 195 countries have published about Covid-19. In initial publications, a solid trend in genotyping, sequencing, and detection of the virus was evident; however, in the development of the pandemic, new knowledge and research focus gained relevance, with continental solid trends, revealed by the keywords sustainability (eastern Europe); material sciences (Asia); public and mental health (Africa); information sciences (western Europe); education (Latin America). It identified high-impact research, mainly on diagnosis and vaccines, but also equally essential topics for returning life to the new normal, such as mental health, education, and remote work. The world experienced a highly transmissible infection that proved how fragile we are regarding organization and society. Conclusions: It is necessary to learn from such an event and establish a protocol of actions and measures to be taken and avoided in a health emergency, aiming to act differently from the chaos experienced during the pandemic. Following the One Health approach, humanity must be aware of the need for more sustainable attitudes, given the inseparability of human beings from the environment.

关键词： COVID-19   Nutritional risk   Lymphocyte neutrophil ratio   Urea creatinine ratio   LYMPHOCYTE RATIO   NEUTROPHIL   SEVERITY   MARKER  

摘要： Background: COVID-19 is a systemic infection with a significant impact on nutrition risk and the hematopoietic system. The neutrophil-lymphocyte ratio (NLR) may have prognostic value in determining severe cases of COVID-19 and the urea-creatinine ratio (UCR) is currently being studied as a potential biomarker of catabolism associated with critical illness. The aim was to assess the association between the NLR, UCR and C-reactive protein (CRP) with nutritional risk in hospitalized patients with COVID-19. Methods: This is a retrospective cross-sectional study that assessed 589 hospitalized patients with COVID-19, 18 years of age or older, of both sexes. Nutritional risk was assessed by Nutritional Risk Screening (NRS, 2002) and NLR by neutrophils divided by lymphocyte count. The UCR was calculated by the ratio between urea and creatinine and quantified by the calorimetric biochemical method and CRP by the immunoturbidimetric method. Differences between groups were applied by the Mann-Whitney U test and the automated binary regression test. Results: Of the 589 patients, 87.4% were at nutritional risk. When evaluating patients admitted to the ICU, 91.9% were at nutritional risk. Patients with NRS >= 3 are older, with lower body mass and BMI, higher NLR and UCR and lower CRP values. However, 73% of patients admitted to the ward were at nutritional risk, and only age differed between groups, being higher in patients with NRS >= 3. Logistic regression showed a weak association between nutritional risk in NRS and UCR (Model 1) (OR = 0.96, 95%CI: 0.94-0.99, p = 0.003) and NRS with CRP (Model 1) (OR =1.01, 95%CI: 1.00-1.02, p < 0.001) in patients in the ICU. On the other hand, the logistic regression in ward patients found association only for CRP in both models (Model 1, OR = 1.01, 95%CI: 1.00-1.01, p = 0.041) and (Model 2, OR = 1.01, 95%CI: 1.00-1.01, p = 0.031). Conclusion: We found a weak association between nutritional risk and UCR and CRP levels in patients admitted to

关键词： Colorimetric RT-LAMP   Multiplex RT-LAMP   SARS-CoV-2   AI   Deep learning   Machine learning   Rapid detection   AMPLIFICATION  

摘要： COVID-19 has afflicted millions of lives worldwide. Although there are many rapid methods to detect it based on colorimetric loop-mediated isothermal amplification, there remains room for improvement. This study aims to 1) integrate multiple primers into a singleplex assay to enhance the diagnostic sensitivity, and 2) utilize a high- throughput smartphone-operatable AI-driven color reading tool to enable a rapid result analysis. This setup can improve the sensitivity by 10-100 times and can analyze approximately 6700 samples per minute. The assay is simpler than RT-qPCR, with a turnaround time of less than 75 min. It can detect various types of SARS-CoV-2 by targeting 3 genes, increasing the likelihood that it will remain effective even if the virus undergoes mutations in any single target gene. In summary, it affords potential for adaptation to detection of new/re-emerging diseases with the visual readout for maximum assay simplicity and AI-operated mode for large-scale testing.

关键词： Medical student   Neurosurgery match   COVID-19   Residency program   TRENDS   IMPACT  

摘要： Objective: Limitations to medical student clinical rotation opportunities brought on by the pandemic has the potential to exacerbate differences in access to clinical experience between medical schools, and thus impact the distribution of graduates matching into neurosurgical programs nationwide. The utilization of virtual interviews that started after the pandemic are likely here to stay. In this study we seek to evaluate match rates for American (AMGs) and international medical graduates (IMGs) across the 6 most recent academic years, examining specifically the rate of home-institution matching before, during, and after the COVID-19 pandemic. Methods: All neurological surgery residents for the years 2018-2024 were included in this analysis, with basic information about each resident being collected using publicly available online resources. For any remaining programs where information was not publicly available, program directors were contacted. Statistical analysis was performed using SPSS version 26.0 with a level of significance p<0.05. Results: Of the total of 1271 AMGs, 1005 (79.1 %) matched away from their home institution. When dividing the 6 academic years into 3 subgroups (pre, intra, and post COVID-19), there was no significant variation between the rates of home institution matching (pre=21.0 %, during=20.4 %, post=21.3 %, p=0.740). Similar results were found while assessing IMGs (pre=28.6 %, during=30.8 %, post=32.3 %, p=0.777). Our analysis found no variation in match rates when isolating for gender across the 6 years studied either for AMGs or IMGs. However, overall institute-specific variations were found where some programs showed increased likelihood of home program match (p<0.001). Conclusion: Preliminary data analysis suggests that contrary to the broader trends seen in other specialties, neurosurgery applicants do not exhibit a significant shift towards matching in closer proximity to their home institutions post COVID-19 pandemic and during th

关键词： Mathematical modeling   COVID-19   Malaria   Co-dynamics   Self-medication   Stigmatization   Nigeria   SENSITIVITY-ANALYSIS   UNCERTAINTY  

摘要： The continual social and economic impact of infectious diseases on nations has maintained sustained attention on their control and treatment, of which self-medication has been one of the means employed by some individuals. Self-medication complicates the attempt of their control and treatment as it conflicts with some of the measures implemented by health authorities. Added to these complications is the stigmatization of individuals with some diseases in some jurisdictions. This study investigates the co-infection of COVID-19 and malaria and its related deaths and further highlights how self-medication and stigmatization add to the complexities of the fight against these two diseases using Nigeria as a study case. Using a mathematical model on COVID-19 and malaria co-infection, we address the question: to what degree does the impact of the interaction between COVID-19 and malaria amplify infections and deaths induced by both diseases via self- medication and stigmatization? We demonstrate that COVID-19 related self-medication due to misdiagnoses contributes substantially to the prevalence of disease. The control reproduction numbers for these diseases and quantification of model parameters uncertainties and sensitivities are presented.

关键词： Family SES   Academic achievement   Parental involvement   Student engagement   Primary school children   COVID-19   MEDIATING ROLE   UNITED-STATES   SCHOOL   SUPPORT   ADOLESCENTS   CONCEPTUALIZATION   PERFORMANCE   ELEMENTARY   PREDICTORS   ADJUSTMENT  

摘要： With a three-wave longitudinal design, the current study examined the impact of family socioeconomic status (SES) on parental involvement and student engagement in promoting children's academic achievement during the coronavirus disease 2019 (COVID19) pandemic. We recruited data from 246 mother-primary school student dyads, and the mean age of children at Wave 1 was 10.5 7 +/- 0.97 years (range = 9-13 years). The academic achievement of these children was measured both before and after school closures. Family SES, parental involvement, and student engagement were assessed during the school closures. The results indicated that family SES could predict children's later academic achievement after accounting for their prior academic achievement and other demographics (i.e., the significant total effect in the model). Moreover, parental involvement and student engagement played chain-mediating roles in the effect of family SES on children's later academic achievement. Neither parent involvement nor student involvement alone mediated the relationships between family SES and subsequent academic achievement. Suggestions are provided to minimize the negative impact of low family SES on children's academic achievement during pandemics. (c) 2024 Elsevier Inc. All rights are reserved, including those for text and data mining, AI training, and similar technologies.

关键词： COVID-19   immunizations   reactive arthritis   transient synovitis   SEPTIC ARTHRITIS   HIP   VACCINE  

摘要： Transient synovitis of the hip is a common medical emergency in children. Although reactive arthritis in adults may occur 1-4 weeks after COVID-19 infection or post-vaccination, few reports of transient synovitis in children associated with acute COVID-19 infection have been made. Transient synovitis of the hip occurs most frequently in children 3-8 years of age with a recent upper respiratory infection, bacterial infection, or trauma. This case report presents a unique case of an otherwise healthy 15-month-old girl with right hip pain and the refusal to ambulate associated with COVID-19 infection.

关键词： Data Mining   Consumer Behavior Analysis   E-commerce   Covid-19   Clustering   BRAND EXPERIENCE   EQUITY  

摘要： The Covid-19 pandemic has caused changes in the field of business activities. The fear of the pandemic has increased consumer awareness of the economic benefits of e-commerce platforms and the desire of people to absentee shopping, resulting in the growth of e-commerce in the world. Iran is not an exception to this rule. In this article, in order to analyze the behavior of e-commerce consumers, before and during covid-19, Iran's largest online retail site has been studied. In the analysis of consumers' behavior, parameters such as spatial distribution, gender and age range of consumers, product groups, payment method for orders according to the amount of use of information and communication technology in the country before and during covid-19 and the death rate due to corona, were considered. In this research, data mining method has been used to analyze the behavior of e-commerce consumers. In the procedure, first the required data is collected and then in the next step, the data has been refined with the KNIME Analytics platform, and then consumer behavior has been analyzed using k-means and Fuzzy c-means algorithms. The results of the analysis showed that the spread of covid-19 has made the amount of shopping at the country level more uniform, leading older people to shop online and increasing their share of the total e-commerce consumers and the desire to pay for orders online. Also, the examination of product groups showed that the sales growth of health product groups was higher than other groups.