Publications by authors named "Perla Velasco-Elizondo"

Article Synopsis
  • The study investigates how certain gene variants influence the severity of COVID-19 symptoms and outcomes in patients infected with SARS-CoV-2.
  • It analyzes a cohort of 104 patients, distinguishing between asymptomatic and symptomatic cases, while focusing on specific gene variants linked to the immune response.
  • Results suggest that individuals carrying specific gene alleles (C allele of rs1293767 and T allele of rs2285932) are less likely to experience symptomatic COVID-19, indicating a potential genetic protective effect and highlighting the variants as possible markers for disease severity.
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Background: The social distancing policies implemented by the health authorities during the COVID-19 pandemic in Mexico and elsewhere led to major changes in teaching strategies for college undergraduates. So far, there is limited data regarding the impact of the lockdown on the academic stress and mental health of these students.

Objective: To assess the occurrence of academic difficulties, anxiety, depression, and academic stressors resulting in somatization with subsequent coping strategies linked to the pandemic.

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The amniotic membrane (AM) is the inner part of the placenta. It has been used therapeutically for the last century. The biological proprieties of AM include immunomodulatory, anti-scarring, anti-microbial, pro or anti-angiogenic (surface dependent), and tissue growth promotion.

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The current COVID-19 pandemic has completely changed people's daily routines. This has had a big impact on mental health. In Mexico, medical school authorities are interested in understanding the mental health status of the student population to be able to provide support to students who may need help from a mental health specialist.

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The impact of the COVID-19 health crisis on the mental health of the population requires the implementation of new primary screening strategies of mental health disorders to intervene in a timelier manner, and technology may provide solutions. We aimed to evaluate the usefulness of the mobile app Mentali (version 1.1.

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The increase of insecurity levels in Mexico, as well as the fact that violence is a frequent experience among health personnel, motivated this study whose purpose was to evaluate the perception of security and violence that social service medical interns (SSMI) had on the institutions and localities where they carried out their social work and make visible the main types of violence to which they were exposed. This was a cross-sectional study, based on a perception survey self-administered to 157 SSMI from Zacatecas, in Mexico. A high proportion of the participants (75.

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: Sentinel surveillance in the early stage of the COVID-19 pandemic in Mexico represented a significant cost reduction and was useful in estimating the population infected with SARS-CoV-2. However, it also implied that many patients were not screened and therefore had no accurate diagnosis. In this study, we carried out a population-based SARS-CoV-2 screening in Mexico to evaluate the COVID-19-related symptoms and their weighting in predicting SARS-CoV-2 infection.

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Human Activity Recognition (HAR) is one of the main subjects of study in the areas of computer vision and machine learning due to the great benefits that can be achieved. Examples of the study areas are: health prevention, security and surveillance, automotive research, and many others. The proposed approaches are carried out using machine learning techniques and present good results.

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