Identificación de amebas de vida libre en tanques de almacenamiento de agua de edificios del área metropolitana de Ambato / Identification of free-living amoebas in water storage tanks of buildings in the metropolitan area of Ambato

Naegleria fowleri, Acanthamoeba spp. y Balamuthia mandrillaris, son especies de ameba de vida libre (AVL) que causan enfermedades en el sistema nervioso central grave y puede ser fatal en humanos y otros animales. Todos los géneros de AVL tienen dos etapas: quiste y trofozoíto. Los trofozoítos se dividen por fisión binaria, se alimentan activamente y es la etapa infecciosa del organismo. En el medio ambiente, los acanthopodios permiten que los trofozoítos se adhieran a las superficies de las bacterias, hongos, algas y detritos en los que se encuentran su alimento. Acanthamoeba spp. Parecen mantener una relación endosimbiótica con algunas de las bacterias que consumen. Muchas de estas bacterias, como la Legionella, Pseudomonas, Vibrio y algunas micobacterias parecen adquirir factores de virulencia mientras están viviendo dentro de las amebas, lo que les permite sobrevivir y prosperar dentro de otras células fagocíticas (por ejemplo, macrófagos humanos). La tenacidad de AVL para proliferar en ecosistemas hostiles y sobrevivir a la desecación o desinfección hace de estos organismos una fuente potencial transmitida por el agua, por los alimentos y el aire. Conocidos por su ubicuidad, los AVL han sido aislados de diversas matrices ambientales, como suelo, agua dulce y salobre, aguas residuales, aguas termales, polvo y otros. En función de lo antes comentado, este trabajo tiene como objetivo identificar amebas de vida libre en tanques de almacenamiento de agua de edificios del área metropolitana de la ciudad de Ambato (Ecuador), con el fin de aplicar soluciones correctivas en cualquiera de sus puntos. Según el sitio de muestreo, el género de AVL identificado con mayor frecuencia en la superficie fue Balamuthia sp (70,59%) y Acanthamoeba sp., con un 37,78 %. El fondo estuvo caracterizado por Naegleria sp. con un 44,44%(AU)

Naegleria fowleri, Acanthamoeba spp. and Balamuthia mandrillaris are species of free-living amoeba (FLA) that cause severe central nervous system disease and can be fatal in humans and other animals. All genera of FLA have two stages: cyst and trophozoite. Trophozoites divide by binary fission, actively feed, and is the infective stage of the organism. In the environment, acanthopods allow trophozoites to adhere to the surfaces of bacteria, fungi, algae, and detritus on which their food is found. Acanthamoeba spp. they appear to maintain an endosymbiotic relationship with some of the bacteria they consume. Many of these bacteria, such as Legionella, Pseudomonas, Vibrio, and some mycobacteria appear to acquire virulence factors while living inside amoebas, allowing them to survive and thrive inside other phagocytic cells (eg, human macrophages). FLA's tenacity to proliferate in hostile ecosystems and survive desiccation or disinfection makes these organisms a potential waterborne, foodborne, and airborne source. Known for their ubiquity, FLAs have been isolated from various environmental matrices, such as soil, fresh and brackish water, wastewater, hot springs, dust, and others. Based on the aforementioned, this work aims to identify free-living amoebas in water storage tanks of buildings in the metropolitan area of the city of Ambato (Ecuador), in order to apply corrective solutions at any of its points. According to the sampling site, the FLA genus most frequently identified on the surface was Balamuthia sp (70.59%) and Acanthamoeba sp., with 37.78 %. The background was characterized by Naegleria sp. with 44.44%(AU)

"Among dead and wounded": mapping, characterization and analysis of fires with victims in Recife's metropolitan zone / "Entre mortos e feridos": mapeamento, caracterização e análise dos incêndios com vítimas na região metropolitana do Recife / "Entre muertos y heridos": cartografía, caracterización y análisis de los incendios con víctimas en la zona metropolitana de Recife

This article presents the mapping and analysis of fires with dead and wounded people in the Metropolitan Region of Recife (MRR) served by the Firefighters Department from 2013 to 2016. There was an average rate of 1 death per million inhabitants, similar to countries such as Singapore and Vietnam. The weighted number of fires per wounded or dead person results in rates of 0.5 and 1.7 per 100 recorded fires, respectively. These numbers are concerning, especially when compared to rates from other regions in the world. The victims of fires in MRR were shown to generally not be a perceivable problem in terms of common sense, yet they are real and require accurate analysis and effective measures.

Este artigo apresenta o mapeamento e a análise de incêndios com mortes e feridos na Região Metropolitana do Recife ­ RMR, atendidos pelo Corpo de Bombeiros, no período de 2013 a 2016. Verificou-se uma taxa média de 1 morte por milhão de habitantes, semelhante a países como Singapura e Vietnam. Quando se pondera a quantidade de incêndios para que haja um ferido ou morto, as taxas se apresentam respectivamente em 0,5 e 1,7 por 100 incêndios registrados ­ sendo estes números preocupantes, principalmente quando comparados com taxas de outras regiões no mundo. Conclui-se que as vítimas de incêndios na Região (RMR) são um problema silente ao senso comum, mas real e que exige análise acurada e providências efetivas.

Este artículo presenta la cartografía y análisis de incendios con muertes y heridos en la Zona Metropolitana de Recife (ZMR), atendidos por el Cuerpo de Bomberos, en el período de 2013 a 2016. Se ha verificado un promedio de 1 muerte por millón de habitantes, semejante a países como Singapur y Vietnam. Cuando se examina la cantidad de incendios para que haya un herido o muerto, los promedios se presentan respectivamente de 0,5 y 1,7 por 100 incendios registrados, lo cual es preocupante, principalmente en comparación con los promedios de otras regiones del mundo. Se concluye que las víctimas de incendios en la ZMR son un problema silencioso y real, lo que exige un análisis cuidadoso y diligencias efectivas.

Sick building syndrome and associated risk factors among the population of Gondar town, northwest Ethiopia

BACKGROUND@#Sick building syndrome (SBS) consists of a group of mucosal, skin, and general symptoms temporally related to residential and office buildings of unclear causes. These symptoms are common in the general population. However, SBS symptoms and their contributing factors are poorly understood, and the community associates it with bad sprits. This community-based cross-sectional study was, therefore, conducted to assess the prevalence and associated factors of SBS in Gondar town.@*METHODS@#A community-based cross-sectional study was conducted from March to April 2017. A total of 3405 study subjects were included using multistage and systematic random sampling techniques. A structured questionnaire and observational checklists were used to collect data. SBS was assessed by 24 building-related symptoms and confirmed by five SBS confirmation criteria. Multivariable binary logistic regression analysis was used to identify factors associated with SBS on the basis of adjusted odds ratio (AOR) with 95% confidence interval (CI) and p < 0.05. The Hosmer and Lemeshow goodness of fit test was used to check model fitness, and variance inflation factor (VIF) was also used to test interactions between variables.@*RESULTS@#The prevalence of SBS in Gondar town was 21.7% (95% CI = 20.3-23.0%). Of this, the mucosal symptoms account for 64%, the general symptoms account for 54%, and the skin symptoms account for 10%. From study participants who reported SBS symptoms, 44% had more than one symptom. Headache (15.7%), asthma (8.3%), rhinitis (8.0%), and dizziness (7.5%) were the commonest reported symptoms. SBS was significantly associated with fungal growth in the building [AOR = 1.25, 95% CI = (1.05, 1.49)], unclean building [AOR = 1.26, 95% CI = (1.03, 1.55)], houses with no functional windows [AOR = 1.35, 95% CI = (1.12, 1.63)], houses with no fan [AOR = 1.90, 95% CI = (1.22, 2.96)], utilization of charcoal as a cooking energy source [AOR = 1.40, 95% CI = (1.02, 1.91)], cooking inside the living quarters [AOR = 1.31, 95% CI = (1.09, 1.58)], and incensing and joss stick use [AOR = 1.48, 95% CI = (1.23, 1.77)].@*CONCLUSION@#The prevalence of SBS in Gondar town was high, and significant proportion of the population had more than one SBS symptom. Headache, asthma, rhinitis, and dizziness were the commonest reported SBS symptoms. Fungal growth, cleanliness of the building, availability of functional windows, availability of fan in the living quarters, using charcoal as a cooking energy source, cooking inside the quarters, and incensing habit or joss stick use were identified as factors associated with SBS. Improving the sanitation of the living environment and housekeeping practices of the occupants is useful to minimize the prevalence of SBS.

Utilising Time of Use Surveys to Predict Domestic Hot Water Consumption and Heat Demand Profiles of Residential Building Stocks.

Aims: The prediction of water consumption patterns is a challenge, especially when water metering is not available at scale. The use of time-of-use survey (TUS) data offers an alternative to metering in order to track the general patterns of water consumption across large and representative groups of end-users. The paper focuses on the prediction of analytical domestic hot water (DHW) demand profiles for detailed building archetype models, using an occupant focused approach based on TUS data. The paper illustrates and discusses the resulting capability of dwelling archetypes to capture variations in heat demand and energy usage for water heating on a national scale and at high time resolution. Methodology: Five dwelling types are considered over different construction periods, representative of the majority of the Irish residential stock, which is used here as a case study. They are modelled at room level using EnergyPlus and converted into archetype models. A bottom-up approach is utilised to develop the required operational data at high space and time resolution. That methodology applies Markov Chain Monte Carlo techniques to TUS activity data to develop activity-specific profiles for occupancy and domestic equipment electricity use. It is extended to DHW demand profiles by combining the probability distributions for particular TUS activities with average daily DHW consumptions, depending on the household size, day type and season. Results: The archetype models capture variations in DHW consumption, heat demand and energy usage for DHW heating, on a national scale and a fifteen-minute basis. Moreover, they are found to be 90% accurate with the Irish standard dwelling energy assessment procedure in estimating the annual energy requirements for DHW heating. Conclusion: This study demonstrates the potential for utilising time of use surveys to predict domestic water demand profiles on a national scale and at high time resolution.