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Introducción. Es un concepto generalizado que las infecciones respiratorias son estacionales, pero pocas veces se precisan localmente estos períodos de alta frecuencia en un país con diversidad de climas. Anticipar la temporada de neumonía a nivel local puede proveer de un mejor uso de recursos críticos. Objetivo. Examinar la variabilidad estacional en defunciones mensuales por neumonía en el Perú. Métodos. Estudio observacional retrospectivo de análisis de serie de tiempo para identificar períodos de alta mortalidad por neumonía en siete ciudades del Perú. Se revisaron registros administrativos del Ministerio de Salud sobre defunciones por neumonía durante los años 2003-2017. Se calcularon estadísticas descriptivas y se analizó mediante una serie de tiempo a escala mensual la frecuencia de defunciones por neumonía, precipitación acumulada, y la temperatura ambiental máxima y mínima. Resultados. El 94,4% de las defunciones por neumonía (N = 166 844) reportaron como causa "organismo no especificado", y el 75,6% eran adultos mayores de 65 años. En Tarma, Arequipa y Cusco la temperatura mínima tiene una correlación negativa con las defunciones por neumonía en todas las edades y al menos uno de los grupos de riesgo. En Iquitos la temperatura mínima tiene una correlación positiva con las defunciones en menores de 5 años. Pucallpa y Cajamarca no tuvieron correlaciones significativas. El clima de Lima es un caso particular. La distribución durante el año de las muertes por neumonía sugiere una secuencia norte-sur, mientras que el análisis espaciotemporal del clima sugiere un patrón que va de sur-norte. Conclusión. Existen diferentes patrones estacionales en diferentes ciudades y grupos de riesgo.

Introduction. It is generally accepted that respiratory infections are seasonal, but high-frequency periods are rarely identified at the local level in a country with diverse climates. Anticipating the pneumonia season locally can provide a better use of critical resources. Objective. The aim of the study was to examine seasonal variability in monthly deaths due to pneumonia in Peru. Methods. Observational retrospective study using time series analysis to identify periods of high pneumonia mortality in seven cities in Peru. We reviewed administrative reports from the Ministry of Health for pneumonia deaths during 2003-2017. Descriptive statistics were calculated and a time series analysis at a monthly scale was performed on the frequency of deaths due to pneumonia, cumulative rainfall, and maximum and minimum environmental temperatures. Results. 94.4% of pneumonia deaths (N = 166,844) were reported as pneumonia due to "unspecified organism", and 75.6% were adults older than 65 years. In the cities of Tarma, Arequipa and Cusco, minimum ambient temperature is negatively correlated to pneumonia deaths in all age groups and at least one risk group. In Iquitos, minimum temperature is positively correlated with deaths among children under 5 years of age. The cities of Pucallpa and Cajamarca reported no statistically significant correlation. The climate in Lima is a peculiar case. The distribution of pneumonia deaths throughout the year suggests a north-south sequence, while the climate space-time analysis suggests a south-north pattern. Conclusion. Results show different seasonal patterns for pneumonia deaths in different cities and risk groups.

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OBJECTIVES: The emergence and spread of carbapenem resistant clones is of major concern for global health. This study aimed to characterize the first detected Klebsiella pneumoniae ST15 harboring the epidemic carbapenemase OXA-48 in South America. METHODS: During a routine colonization screening with carbapenem-resistant bacteria, one K. pneumoniae strain (CGHM01) was isolated from the urine of a hospitalized patient suffering from a neurodegenerative disease in Uruguay. We used long-read whole-genome sequencing and a phylogenomic approach to characterize the emergence of K. pneumoniae CGHM01. RESULTS: K. pneumoniae CGHM01 is a multi-drug resistant strain carrying an IncL/M plasmid that encodes the carbapenemase gene blaOXA-48 within the Tn1999.2 transposon. Also, it carries an IncR plasmid harboring a class I integron with an array of antibiotic resistance genes including the extended-spectrum beta-lactamase blaCTX-M-15. Two copies of blaCTX-M-15 were also inserted in different positions of the chromosome. CGHM01 belongs to a ST15 sublineage that likely originated in continental Spain around 2012. CONCLUSIONS: The asymptomatic carriage of this strain in the urinary tract warns of difficulties for detection and reporting of emerging carbapenem-resistant clones in new geographic areas where these are not endemic.

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Para la elaboración de los mapas climáticos de temperatura del aire y precipitación a nivel mensual, estacional y anual, se generó un modelo estadístico de interpolación (regresión lineal múltiple) que involucra los datos observados e información satelital. La validación del modelo de interpolación consideró supuestos estadísticos que corroboraron la significancia de los resultados. En el proceso de validación, también se tomaron como referencia mapas ambientales nacionales, como el ecológico y el de ecosistemas, producidos por el Ministerio del Ambiente ­ MINAM.

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El Mapa de Clasificación Climática del Perú actualizado, presenta una gama de 38 climas distribuidos en el vasto territorio nacional, con climas extremos como el de muy lluvioso y cálido todo el año, el desierto cálido y el glaciar. Este documento, es el resultado de un minucioso y detallado trabajo de investigación meteorológica y climática, realizado en forma sistemática a nivel nacional desde el año 2017 al 2020, utilizándose una amplia información pertinente, incluyendo la satelital y la proveniente de diferentes mapas temáticos nacionales digitalizados, sobre ecosistemas y recursos naturales. En este período, se contó con la colaboración de instituciones y expertos nacionales versados en el tema.

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The smoke-free legislation implemented in Spain in 2006 imposed a partial ban on smoking in public and work places, but the result did not meet expectations. Therefore, a more restrictive anti-smoking law was passed five years later in 2011 prohibiting smoking in all public places, on public transport, and the workplace. With the objective of assessing the impact of the latter anti-smoking legislation on children's exposure to second-hand smoke (SHS), we assessed parent's smoking habits and children's urine cotinine (UC) concentrations in 118 boys before (2005-2006) and after (2011-2012) the introduction of this law. Repeated cross-sectional follow-ups of the "Environment and Childhood Research Network" (INMA-Granada), a Spanish population-based birth cohort study, at 4-5 years old (2005-2006) and 10-11 years old (2011-2012), were designed. Data were gathered by ad-hoc questionnaire, and median UC levels recorded as an objective indicator of overall SHS exposure. Multivariable logistic regression was used to examine the association between parent's smoking habits at home and SHS exposure, among other potential predictors. An increase was observed in the prevalence of families with at least one smoker (39.0% vs. 50.8%) and in the prevalence of smoking mothers (20.3% vs. 29.7%) and fathers (33.9% vs. 39.0%). Median UC concentration was 8.0ng/mL (interquartile range [IQR]: 2.0-21.8) before legislation onset and 8.7ng/mL (IQR: 2.0-24.3) afterwards. In the multivariable analysis, the smoking status of parents and smoking habits at home were statistically associated with the risk of SHS exposure and with UC concentrations in children. These findings indicate that the recent prohibition of smoking in enclosed public and workplaces in Spain has not been accompanied by a decline in the exposure to SHS among children, who continue to be adversely affected. There is a need to target smoking at home in order to avoid future adverse health effects in a population that has no choice in the acceptance or not of SHS exposure-derived risk.

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