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Traducción: Matematicas aplicadas en escenarios de crisis (Covid-19)

Authors: Milagros Del Valle Morales Rangel;

Traducción: Matematicas aplicadas en escenarios de crisis (Covid-19)

Abstract

Las matemáticas aplicadas forman parte de la formación universitaria en pregrado y posgrado. Desde esta perspectiva, en este ensayo se hará uso de las matemáticas aplicadas con el objetivo de estudiar los efectos psicológicos, económicos y educativos ocasionados sobre la población por un escenario de crisis como el COVID-19. Las teorías matemáticas desarrolladas en este ensayo son: Teoría del Caos, Cadenas de Markov y Teoría de Nash. El COVID-19 se ha extendido a través del mundo, afectando poblaciones y países, sin distinción de raza, posición económica, política o sociocultural. El impacto que el COVID-19 ha causado en la población mundial se podrá medir, a mediano y largo plazo, a través de cambios en el comportamiento psicológico, hábitos sociales, de salud, económicos y educativos. Este impacto dejará profundas huellas y dilemas morales, como priorizar que áreas deben atenderse y cuál será el esfuerzo político dirigido a cada una de ellas.

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Keywords

Social sciences (General), H1-99, covid-19, economía, matemáticas aplicadas, escenario educativo, TA1-2040, Engineering (General). Civil engineering (General)

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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