Publications by authors named "Rosana Abrutzky"

Background: The minimum mortality temperature (MMT) or MMT percentile (MMTP) is an indicator of population susceptibility to nonoptimum temperatures. MMT and MMTP change over time; however, the changing directions show region-wide heterogeneity. We examined the heterogeneity of temporal changes in MMT and MMTP across multiple communities and in multiple countries.

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Background: We quantify the mortality burden and economic loss attributable to nonoptimal temperatures for cold and heat in the Central and South American countries in the Multi-City Multi-Country (MCC) Collaborative Research Network.

Methods: We collected data for 66 locations from 13 countries in Central and South America to estimate location-specific temperature-mortality associations using time-series regression with distributed lag nonlinear models. We calculated the attributable deaths for cold and heat as the 2.

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Background: Heterogeneity in temperature-mortality relationships across locations may partly result from differences in the demographic structure of populations and their cause-specific vulnerabilities. Here we conduct the largest epidemiological study to date on the association between ambient temperature and mortality by age and cause using data from 532 cities in 33 countries.

Methods: We collected daily temperature and mortality data from each country.

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Background: Precipitation could affect the transmission of diarrheal diseases. The diverse precipitation patterns across different climates might influence the degree of diarrheal risk from precipitation. This study determined the associations between precipitation and diarrheal mortality in tropical, temperate, and arid climate regions.

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Objectives: This study aims to estimate the short-term preventable mortality and associated economic costs of complying with the World Health Organization (WHO) air quality guidelines (AQGs) limit values for PM and PM in nine major Latin American cities.

Methods: We estimated city-specific PM-mortality associations using time-series regression models and calculated the attributable mortality fraction. Next, we used the value of statistical life to calculate the economic benefits of complying with the WHO AQGs limit values.

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Article Synopsis
  • Temperature variability (TV), both intra-day and inter-day, impacts mortality rates, but this study found intra-day variation poses a higher risk to all-cause, cardiovascular, and respiratory mortality.
  • Analyzing data from 758 locations over nearly 50 years, the researchers discovered that each increase in intra-day TV correlates with a greater increase in mortality risk compared to inter-day TV.
  • The study recommends further evaluations of the impacts of temperature variability on health, particularly focusing on intra-day fluctuations, which accounted for more than four times the mortality risk compared to inter-day variability.
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Objective: To evaluate changes in RSV seasonality in the last 25 years and their correlation with the mean annual temperature.

Methods: Cross-sectional study, based on RSV and temperature data from the City of Buenos Aires (1995-2019). For each year, we describe the beginning, end, and duration of the RSV season and the correlation with the mean annual temperature.

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Introducción: La contaminación del aire incrementaría el riesgo de infección respiratoria aguda (IRA) en pediatría. Objetivo: evaluar el impacto de la contaminación del aire en las consultas por IRA realizadas en efectores del Gobierno de la Ciudad de Buenos Aires. Método: estudio ecológico, de series temporales.

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Introduction. Health care strategies based on information and communication technologies (ICTs) may perpetuate health inequity, especially among vulnerable populations. In our setting, there are few validated tools to assess access to ICTs in pediatrics.

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Introduction: Air pollution would increase the risk of severe infection repiratory in pediatrics. Research Sources: Environmental Protection Agency, National Meteorological. Service and Integral Health History of the Hospital Management System.

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Background: Increased mortality risk is associated with short-term temperature variability. However, to our knowledge, there has been no comprehensive assessment of the temperature variability-related mortality burden worldwide. In this study, using data from the MCC Collaborative Research Network, we first explored the association between temperature variability and mortality across 43 countries or regions.

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Studies have investigated the effects of heat and temperature variability (TV) on mortality. However, few assessed whether TV modifies the heat-mortality association. Data on daily temperature and mortality in the warm season were collected from 717 locations across 36 countries.

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Background: Minimum mortality temperature (MMT) is an important indicator to assess the temperature-mortality association, indicating long-term adaptation to local climate. Limited evidence about the geographical variability of the MMT is available at a global scale.

Methods: We collected data from 658 communities in 43 countries under different climates.

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Background: Due to ambiguities in terminology, acute lower respiratory infections (ALRI) in childhood are frequently not properly recorded, especially during outpatient visits. A tool that accurately identifies them, would assess the impact on respiratory health of massive harms, and design policies to prevent or mitigate their effects. We aimed to design an algorithm that allows identifying children with ALRI based on data from the electronic clinical record (ECR) of the Government of the City of Buenos Aires (GCBA).

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Background: Many regions of the world are now facing more frequent and unprecedentedly large wildfires. However, the association between wildfire-related PM and mortality has not been well characterised. We aimed to comprehensively assess the association between short-term exposure to wildfire-related PM and mortality across various regions of the world.

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Background: Collective risk factors such as climate and pollution impact on the risk of acute cardiovascular events, including ST-elevation myocardial infarction (STEMI). There is limited data however on the precise temporal and independent association between these factors and STEMI, and the potentially interacting role of government policies against Coronavirus disease 2019 (COVID-19), especially for Latin America.

Methods: We retrospectively collected aggregate data on daily STEMI admissions at 10 tertiary care centers in the Buenos Aires metropolitan area, Argentina, from January 1, 2017 to November 30, 2020.

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Background: Exposure to cold or hot temperatures is associated with premature deaths. We aimed to evaluate the global, regional, and national mortality burden associated with non-optimal ambient temperatures.

Methods: In this modelling study, we collected time-series data on mortality and ambient temperatures from 750 locations in 43 countries and five meta-predictors at a grid size of 0·5° × 0·5° across the globe.

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Background: Various retrospective studies have reported on the increase of mortality risk due to higher diurnal temperature range (DTR). This study projects the effect of DTR on future mortality across 445 communities in 20 countries and regions.

Methods: DTR-related mortality risk was estimated on the basis of the historical daily time-series of mortality and weather factors from Jan 1, 1985, to Dec 31, 2015, with data for 445 communities across 20 countries and regions, from the Multi-Country Multi-City Collaborative Research Network.

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Introduction: Pollution and climate have an impact on pediatric respiratory diseases; few studies have assessed this in the Autonomous City of Buenos Aires.

Objective: To assess the impact of the interaction between air pollutants and climate on the Emergency Department visits for acute lower respiratory tract infection (ALRTI) in a children's hospital.

Methods: Ecological, time-series study with generalized additive models that included total visits and visits for ALRTI to the Emergency Department between 2012 and 2016.

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Background: There is strong experimental evidence that physiologic stress from high temperatures is greater if humidity is higher. However, heat indices developed to allow for this have not consistently predicted mortality better than dry-bulb temperature.

Objectives: We aimed to clarify the potential contribution of humidity an addition to temperature in predicting daily mortality in summer by using a large multicountry dataset.

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This study aimed to analyze mortality during heat waves in the city of Buenos Aires, Argentina, in 2005-2015. We used a time series design with generalized additive models, linking mortality to days of heat waves throughout the period, and to days of the heat wave in 2013, the longest wave since 1906, controlling for time variables, mean temperature, and humidity. Risk of death from natural causes increased by 14% (RR = 1.

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An increase in the global health burden of temperature was projected for 459 locations in 28 countries worldwide under four representative concentration pathway scenarios until 2099. We determined that the amount of temperature increase for each 100 ppm increase in global CO concentrations is nearly constant, regardless of climate scenarios. The overall average temperature increase during 2010-2099 is largest in Canada (1.

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Objective: to evaluate the impact of air pollution and weather changes on the number of visits to a pediatric emergency department in Buenos Aires, Argentina.

Materials And Methods: we designed an ecological time-series study using generalized additive models (GAM) for the period 2012-2014. The outcome variable was the number of daily visits to a pediatric emergency department taking into account daily consultations.

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Introduction: Global climate change circulation pattern respiratory syncytial virus (RSV). We assessed whether RSV season has changed over the past 20 years and its correlation with mean annual temperature.

Methods: Cross-sectional study that included records of RSV and temperatures from Buenos Aires (1995-2014).

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