Potential correlates of ACS that may result in benefits for Mexican adolescents are identified. More studies on this relationship are needed to develop interventions aimed at increasing PA through ACS in Mexico.

We conducted a detailed analysis of coronavirus disease in a large population center in southern California, USA (Orange County, population 3.2 million), to determine heterogeneity in risks for infection, test positivity, and death. We used a combination of datasets, including a population-representative seroprevalence survey, to assess the actual burden of disease and testing intensity, test positivity, and mortality. In the first month of the local epidemic (March 2020), case incidence clustered in high-income areas. This pattern quickly shifted, and cases next clustered in much higher rates in the north-central area of the county, which has a lower socioeconomic status. Beginning in April 2020, a concentration of reported cases, test positivity, testing intensity, and seropositivity in a north-central area persisted. At the individual level, several factors (e.g., age, race or ethnicity, and ZIP codes with low educational attainment) strongly affected risk for seropositivity and death.

RESUMENEn la actualidad se observa un desarrollo vigoroso de la ciencia cognitiva, que es un campo multidisciplinario en el que confluyen varias disciplinas, como la psicología cognitiva, la inteligencia artificial, la lingüística, la filosofía, la neurociencia, la antropología cognitiva, entre otras, con la finalidad de estudiar la cognición. El estudio de la cognición y la mente se ha venido realizando desde el punto de vista de la filosofía estrictamente especulativa, desde la perspectiva de la filosofía de la mente y desde el punto de vista científico. Los aportes hipotéticos y/o teóricos de esos estudios de la mente son discutidos y, en la mayoría de los casos, sometidos a un análisis experimental para contrastar su validez científica. En ese sentido, la ciencia cognitiva ha ido estableciendo las propiedades esenciales de la mente y la cognición, tal como el carácter representacional de la mente, la relación causal entre la representación cognitiva y la conducta, el carácter simbólico de la información representada mentalmente, la mente como procesador de la información, la mente como un sistema de mecanismos, la modularidad de la mente, etc. Sin embargo, en la ciencia cognitiva actual es notoria la presencia de diferentes enfoques cognitivos que defienden el modelo simbólico clásico, por un lado, y por otro están aquellos que defienden el modelo conexionista o procesamiento distribuido en paralelo (PDP), y también aquellos que postulan modelos mentales no representacionalistas. En conclusión, se puede decir que hoy en día el estudio de la mente y la cognición es una empresa importante en el que están comprometidas varias disciplinas.Palabras clave: Ciencia cognitiva, Mente, Procesamiento de información, Representación mental, Arquitectura cognitiva, Modelo simbólico clásico, Modelo conexionista, Modelos no representacionalistas. ABSTRACTAt present we observe a vigorous developmental of the cognitive science like a multidisciplinary field that involve several disciplines, such as cognitive psychology, artificial intelligence, linguistics, philosophy, neuroscience, and cognitive anthropology, in order to study the cognition. The study of cognition and mind has been made from a point of view of the speculative philosophy, or from perspective of the philosophy of mind, or from a point of view scientific. The hypothetical and/or theoretical proposals offered from those studies, are discussed and are submitted to experimental analysis, for the purpose to test their scientific

COVID-19 is one of the largest public health emergencies in modern history. Here we present a detailed analysis from a large population center in Southern California (Orange County, population of 3.2 million) to understand heterogeneity in risks of infection, test positivity, and death. We used a combination of datasets, including a population-representative seroprevalence survey, to assess the true burden of disease as well as COVID-19 testing intensity, test positivity, and mortality. In the first month of the local epidemic, case incidence clustered in high income areas. This pattern quickly shifted, with cases next clustering in much higher rates in the north-central area which has a lower socio-economic status. Since April, a concentration of reported cases, test positivity, testing intensity, and seropositivity in a north-central area persisted. At the individual level, several factors (e.g., age, race/ethnicity, zip codes with low educational attainment) strongly affected risk of seropositivity and death.

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