ABSTRACT
Introduction: Seroepidemiological studies can help to understand the dynamics of the infection by the type 2 severe acute respiratory syndrome virus (SARS-CoV-2) in the community. Objective(s): To determine the seroprevalence of COVID-19 Ciudad del Este district of Alto Parana department in Paraguay. Method(s): Descriptive cross-sectional study based on population. A rapid immunochromatographic test was used for the detection of anti-SARS-CoV-2 IgG/IgM antibodies. 1043 households were surveyed between October 27 and November 21, 2020. Result(s): Of the 1978 participants, women prevailed (60.3 %), 39.6 % had secondary education, 32.9 % were engaged in commerce. The most frequent risk factors were hypertension (13.7%), overweight or obesity (16.4%) and diabetes mellitus (6.1%). A total of 415 people (21%) had symptoms compatible with COVID-19, with headache being the most frequent (10.8%), followed by anosmia (10.4%) and sore throat (10.1%). 15.4% of respondents said they had been in contact with a COVID-19 case. 10.8% of participants had undergone a laboratory test for the diagnosis of COVID-19, of them, 72 people (33.6%) reported a positive result. Seroprevalence was high, with one in five reporting symptoms compatible with COVID-19. Conclusion(s): Despite the high anti-COVID-19 seroprevalence, most residents had mild infection, the proportion of hospitalized patients was low, and no fatal cases were reported.Copyright © 2023, Editorial Ciencias Medicas. All rights reserved.
ABSTRACT
The article aims to investigate the influence of risk exposure factors on the frequency of road crashes from January to August 2020 in Ciudad Juarez, Mexico. It is a longitudinal study with four data sets: road crashes, population and housing census, location of economic activities, and road network information. Specifically, this study investigates the relationship between exposure factors - demographics, main roads and land use - and road crashes. A mixed method analysis was employed, (1) spatial analysis using GIS techniques; and (2) a negative binomial spatial regression model. The results showed a strong spatial dependence (0.274; p-value 0.00) of road crashes in the census tracts, and this effect was statistically significant (0.007) in the spatial regression model. In the model, a high probability (<0.05) of road crashes in the census tracts was found with the population aged 15 to 65 years, the length of main roads and the level of road coverage (Engel index), land uses with economic activities of an industrial and commercial character. The findings of this study successfully capture the social, economic, and urban conditions during the January-August 2020 period in the context of the COVID-19 pandemic. This new knowledge could help create preventive plans and policies to address the frequency of road crashes.
ABSTRACT
Los días 15 y 16 de octubre del año 2020, en el marco de los proyectos de investigación del Plan Nacional I+D+I "Atracción del talento, innovación y creatividad para el desarrollo inteligente de la ciudad-región de Madrid” y "Sostenibilidad social, conectividad global y economía creativa como estrategias de desarrollo en el Área Metropolitana de Valencia”, se celebró el seminario de investigación "Estrategias, espacios y redes para la innovación urbana”. Unas jornadas organizadas por la Universidad de Complutense de Madrid y el espacio de innovación ‘La Nave' del Ayuntamiento de esta ciudad. La oportunidad del evento merece, sin lugar a dudas, la edición de un libro resumen de carácter colectivo. Reúne la contribución de diversos especialistas en torno al pasado reciente, presente y sobre todo el futuro que seguramente le espera a la innovación en las regiones y ciudades del siglo XXI. En realidad, se trata de una edición de bolsillo que recopila de forma sintética, la imposibilidad de desligar el macroconcepto de la innovación y la inteligencia, de otros factores espaciales y que normalmente se concretan en áreas metropolitanas y ahora también en el corazón de las ciudades. La obra se estructura a partir de una introducción inicial y un capítulo final de conclusiones, para dejar en su nudo una selección de casos focalizados en distintas ciudades que están planteando sus estrategias innovadoras. La publicación tampoco olvida seleccionar una colección de temáticas que son entendidas como clave, para la mejor comprensión del mundo y de la innovación en un contexto de crisis casi permanente. No hay que olvidar, según los autores, que la innovación surge con más facilidad en tiempos o coyunturas de máxima dificultad como es el actual. Una publicación que contextualiza los riesgos de no apostar, o de no contar con los necesarios procesos de innovación que marcan las oportunidades en una liga de ciudades mundial que pugnan por ser más sostenibles, competitivas y socialmente justas.Palabras clave: innovación social, creatividad, startup, gobernanza, participación, solidaridad, ciudad, región, smart city, tecnología, inversión, capital humano, empresas, calidad de vida, clúster, economía, solución, creatividad, crisis, COVID.
ABSTRACT
This article's objective was to determine the impact of the hardening of the Mexico-United States border, particularly by the partial closure of the border due to Covid-19 -the migrant's conglomeration in the city and the limitation of cross-border mobility- in the reception of remittances in Ciudad Juarez. Applying linear regression model with ordinary least squares method and the Pearson and Spearman correlation analysis, we estimated the relationship between remittances with the number of border crossings and immigrant's concentration in the city. The results show that the only statistically significant variable was the partial closure of the border, through a decrease in the number of crossings, which has a negative relationship with the receipt of remittances in the locality, i.e., the fewer the number of crossings, the greater the receipt of remittances.