Advanced search


Knowledge area




4 results, page 1 of 1

Risk, Covid-19 and hospital care in Mexico City: Are we moving toward a new medical practice?

Rubén Muñoz (2023)

Covid-19 pandemic has entailed new challenges for health care in the Mexican public health sector, producing changes in clinical practices that are now handling patients infected with covid-19 and also outpatient consultations at tertiary-level care hospitals. Some of these challenges are related to the perception of risk held by physicians regarding the possibility of contracting or transmitting covid-19 during their work,and to the management of risk from the standpoint of biomedical organizational culture linked to the material and symbolic conditions of public health services predating the pandemic. We analyze these issues from a anthropological research based on in-depth interviews to physicians that work with covid-19 patients at “Covid-19 hospitals” or “hybrid hospitals” in Mexico City. Covid-19 has arrived in social relations and perceptions of risk in the arena of health care and involves knowing and transforming some structural and symbolic conditions, resignified with the pandemic, for proper medical care.

Article

Artículo

Covid-19 percepción de riesgo personal de salud atención médica hospitalaria cultura organizacional biomédica CIENCIAS SOCIALES CIENCIAS SOCIALES risk perception health care workers hospital care biomedical organizational culture

DEPRESSIVE SYMPTOMS (DS) AND CITIES: A SOCIOECONOMIC PERSPECTIVE FOR THE MEXICAN CASE

Jorge López Martínez Déborah Féber González (2023)

This article presents an analysis of the proportion of the population that lives in the 20 top cities of Mexico. Population that suffers from moderate to severe Depressive Symptoms (DS) in relation to urban and socioeconomic factors typical of urban territories and comparing them with people living in rural or non-urban environments that suffers DS. To check this, we generated the Complex Index of Socioeconomic and Urban Conditions (CISUC), based on the Mind the GAPS framework, a model that relates the susceptibility or prevention of mental illness in cities based on urban factors, we also used socioeconomic indicators that exist in Mexican cities. For the construction of the ICCSU database, we used data from the National Health and Nutrition Survey in the years 2006, 2012 and 2018-19 and the data of the Mexican Institute for Competitiveness, A.C. and National Institute of Statistics and Geography in the same years. The results obtained from CISUC were reinforced with the use of a panel data model. The findings that we obtained reveal that there is a more important correlation between cities and people who suffer from moderate to severe DS than in rural areas, a condition that intensifies with the socioeconomic conditions of the population, for example, their socioeconomic stratum, their gender, and present urban marginalization. This allows to generate future discussions about other types of diseases such as anxiety, depression, stress, loneliness, and schizophrenia for large population groups. The panel model yields a lower goodness of adjustment, due to the lack of more time points, however, it points out that improvements in socioeconomic and urban conditions slightly reduce depressive symptoms.

Article

Artículo

mental health depressive symptoms (DS) urban marginalization socioeconomic factors cities salud mental sintomatología depresiva (SD) ciudades marginación urbana factores socioeconómicos CIENCIAS SOCIALESCIENCIAS SOCIALES CIENCIAS SOCIALES

Diseño de una red de dispositivos inalámbricos para monitorear la calidad del aire en interiores

FRIDA JENNY DE LA ROSA ANDRADE (2023)

No cabe duda de que la contaminación ambiental siempre a existido, y es una consecuencia

producida por las diferentes actividades que el ser humano ha realizado a lo largo de su

desarrollo y evolución tecnológica, por lo que conlleva a muchas repercusiones en la

integridad física del ambiente. Las actividades de desarrollo, como la construcción, el

transporte y la fabricación, no solo agotan los recursos naturales, sino que también producen

una gran cantidad de desechos que conducen a la contaminación del aire, el agua, el suelo y

los océanos, dando pie a los problemas más preocupantes del ser humano, tal es el caso del

calentamiento global, las lluvias acidas. Hoy en día la contaminación del aire se considera

un tema de gran importancia puesto que, es uno de los principales problemas en las zonas

más urbanizadas del mundo, y se encuentra presente tanto en los países desarrollados como

en los no desarrollados, por ello surge la necesidad de conocer que tan contaminado se

encuentra el aire que se respira.

El estándar de calidad del aire es una táctica para establecer las condiciones del aire desde un

grado de pureza, hasta una calidad critica perjudicial para el deterioro de la salud humana,

haciendo referencia a la cantidad de contaminación presente en el aire, definiéndola ya sea

de alta calidad con un nivel bajo de contaminación o una mala calidad con un nivel elevado

de concentración de contaminación en el aire.

En este proyecto se diseñará una Red de dispositivos inalámbricos para el análisis y

monitoreo de la calidad del aire en interiores, con la finalidad de fungir como un medidor de

contaminación que le permita a las personas darse cuenta de que tan contaminados están sus

hogares. Por tal motivo en el desarrollo de este proyecto se hará uso de un microcontrolador

Arduino IDE, un Node-red y un phpMyadmin para el análisis y monotoreo constante de

diversos gases como CO, CO2, metano, nitrógeno y O2. Cabe mencionar que este escrito se

ha dividido en 4 capítulos en los cuales se explica detalladamente todos y cada uno de los

procesos llevado a cabo para la elaboración y el desarrollo de este proyecto.

There is no doubt that environmental pollution has always existed, and is a consequence

produced by the different activities that human beings have carried out throughout their

development and technological evolution, which leads to many repercussions on the physical

integrity of the environment. Development activities such as construction, transportation and

manufacturing not only deplete natural resources but also produce a large amount of waste

leading to pollution of air, water, soil and oceans, giving rise to to the most worrying problems

of human beings, such as global warming and acid rain. Nowadays, air pollution is considered

an issue of great importance since it is one of the main problems in the most urbanized areas

of the world, and is present in both developed and undeveloped countries, which is why the

need to know how contaminated the air you breathe is.

The air quality standard is a tactic to establish air conditions from a degree of purity to a

critical quality harmful to the deterioration of human health, referring to the amount of

pollution present in the air, defining it either high quality with a low level of contamination

or poor quality with a high level of concentration of contamination in the air.

In this project, a network of wireless devices will be designed for the analysis and monitoring

of indoor air quality, with the purpose of serving as a pollution meter that allows people to

realize how polluted their homes are. For this reason, in the development of this project, an

Arduino IDE microcontroller, a Node-red and a phpMyadmin will be used for the analysis

and constant monitoring of various gases such as CO, CO2, methane, nitrogen and O2. It is

worth mentioning that this writing has been divided into 4 chapters in which each and every

one of the processes carried out for the preparation and development of this project is

explained in detail.

Master thesis

BIOLOGÍA Y QUÍMICA QUÍMICA Red de dispositivos inalámbricos, análisis monitoreo, calidad, riesgo, contaminación. Network of wireless devices, monitoring analysis, quality, risk, contamination.

Offshore wind energy climate projection using UPSCALE climate data under the RCP8.5 emission scenario

MARKUS SEBASTIAN GROSS (2016)

In previous work, the authors demonstrated how data from climate simulations can be utilized to estimate regional wind power densities. In particular, it was shown that the quality of wind power densities, estimated from the UPSCALE global dataset in offshore regions of Mexico, compared well with regional high resolution studies. Additionally, a link between surface temperature and moist air density in the estimates was presented. UPSCALE is an acronym for UK on PRACE (the Partnership for Advanced Computing in Europe)-weather-resolving Simulations of Climate for globAL Environmental risk. The UPSCALE experiment was performed in 2012 by NCAS (National Centre for Atmospheric Science)- Climate, at the University of Reading and the UK Met Office Hadley Centre. The study included a 25.6-year, five-member ensemble simulation of the HadGEM3 global atmosphere, at 25km resolution for present climate conditions. The initial conditions for the ensemble runs were taken from consecutive days of a test configuration. In the present paper, the emphasis is placed on the single climate run for a potential future climate scenario in the UPSCALE experiment dataset, using the Representation Concentrations Pathways (RCP) 8.5 climate change scenario. Firstly, some tests were performed to ensure that the results using only one instantiation of the current climate dataset are as robust as possible within the constraints of the available data. In order to achieve this, an artificial time series over a longer sampling period was created. Then, it was shown that these longer time series provided almost the same results than the short ones, thus leading to the argument that the short time series is sufficient to capture the climate. Finally, with the confidence that one instantiation is sufficient, the future climate dataset was analysed to provide, for the first time, a projection of future changes in wind power resources using the UPSCALE dataset. It is hoped that this, in turn, will provide some guidance for wind power developers and policy makers to prepare and adapt for climate change impacts on wind energy production. Although offshore locations around Mexico were used as a case study, the dataset is global and hence the methodology presented can be readily applied at any desired location. © Copyright 2016 Gross, Magar. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reprod

Article

atmosphere, climate change, Europe, Mexico, sampling, time series analysis, university, weather, wind power, climate, risk, theoretical model, wind, Climate, Models, Theoretical, Risk, Wind CIENCIAS FÍSICO MATEMÁTICAS Y CIENCIAS DE LA TIERRA CIENCIAS DE LA TIERRA Y DEL ESPACIO OCEANOGRAFÍA OCEANOGRAFÍA