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1.
Revista Gerencia y Politicas de Salud ; 20, 2021.
Article in Spanish | Scopus | ID: covidwho-1716140

ABSTRACT

Objective. To develop a series of polynomial models to track the growth and trend of infection and death curve for COVID-19 in Colombia. Methods. The infected and daily deaths from COVID-19 between March 6 to April 10, 2021, were used. For its prediction analysis, we use polynomial functions in Excel. Results. Of the six polynomial functions evaluated, the polynomial with the highest level of determination is that of degree 6 according to the adjusted R.. Predictions were made taking into account the accumulated polynomial functions of confirmed infected and deceased. Conclusions. Easy-to-build Excel models such as polynomial functions are effective for monitoring public health events, facilitating timely decision-making. © 2021 Pontificia Universidad Javeriana. All rights reserved.

2.
Letras Verdes ; - (30):9-32, 2021.
Article in Spanish | Web of Science | ID: covidwho-1579674

ABSTRACT

The article shows the interaction between historically accumulated socio-spatial inequalities and the spatial dynamic of the risk of contagion of COVID-19 in Mexico City. The objective is to analyze the urban spatial relationship between the location of exposure factors to the virus, identified through literature review (associated with transport, living and employment), and the spatial dynamic of contagion. By using spatial analysis methods and techniques, concepts from political ecology and the theory of social construction of risk arc connected. It is concluded that the conditions of habitability, the commuting time in public transportation and the levels of social development are determining factors of the spatial behaviour of contagion. Due to conditions of exposure, marginalized urban peripheries become disadvantaged places.

3.
2nd International Conference on Applied Science and Advanced Technology, ICASAT 2021 ; 297:181-195, 2022.
Article in English | Scopus | ID: covidwho-1549308

ABSTRACT

The Mechanical Ventilator to support human breathing is a medical device that became essential for the attention of patients with respiration complication due to the Covid19 pandemic disease. The rapid prototyping and development of such devices was encouraged at academic and research institutions around the world. This paper presents a mechatronic design methodology that was redefined and applied for the design and prototype of a Pressure Controlled Mechanical Ventilator. This work is presented as a case of study to show that good design practices such as model based design and “hardware in the loop” simulations, carried out in a methodological way, allows a faster and reliable development of mechatronic products. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

4.
American Journal of Respiratory and Critical Care Medicine ; 203(9):1, 2021.
Article in English | Web of Science | ID: covidwho-1406929
5.
American Journal of Respiratory and Critical Care Medicine ; 203(9):1, 2021.
Article in English | Web of Science | ID: covidwho-1406928
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