Impact of climate and land use/land cover changes on malaria incidence in the Ecuadorian Amazon.

Malaria transmission is influenced by climate and land use/land cover change (LULC). This study examines the impact of climate and LULC on malaria risk in the Ecuadorian Amazon. Weekly malaria surveillance data between 2008 and 2019 from Ecuador's Ministry of Public Health were combined with hydrometeorological and LULC data. Cross-correlation analyses identified time lags. Bayesian spatiotemporal models estimated annual LULC rates of change (ARC) by census area and assessed the effects on Plasmodium vivax and Plasmodium falciparum incidence. ARC for the five land cover classes (forest, agriculture, urban, shrub vegetation, water) ranged from -1 to 4% with agriculture increasing across areas. Forest and shrub vegetation ARC were significantly associated with both Plasmodium vivax and Plasmodium falciparum. Temperature and terrestrial water content showed consistent negative relationships with both species. Precipitation had varying effects on Plasmodium vivax (null) and Plasmodium falciparum (increase) incidence. Shrubs and forest expansion, increased temperature, and terrestrial water content reduced malaria incidence, while increased precipitation had varying effects. Relationships between malaria, LULC, and climate are complex, influencing risk profiles. These findings aid decision-making and guide further research in the region.

Anthropogenic emission inventory and spatial analysis of greenhouse gases and primary pollutants for the Galapagos Islands.

Climate change and air pollution are critical challenges that humanity is currently facing. Understanding the sources of emissions released into the atmosphere is of great importance to evaluate the local footprint, the impacts of human activities, and the opportunities to develop and implement solutions to mitigate emissions and adapt to climate change particularly in vulnerable places like the Galapagos Islands. In this study, we present an anthropogenic emissions inventory for Santa Cruz, San Cristobal, and Isabela Islands in which emissions were spatially mapped for greenhouse gasses (GHGs) and primary pollutants (PP). Emissions were estimated for the energy stationary sources, energy mobile sources, waste, and other sectors, and emissions for 2019 were spatially distributed along with an uncertainty assessment. Results demonstrated that energy mobile sources which are aerial, terrestrial, and maritime transportation generated the most significant emissions in the Galapagos Islands in terms of PP and GHGs. In fact, maritime transportation was the highest one in 2019, at 41% of total CO2 emissions for Galapagos, with the most predominant PP being NOx and CO. The aerial transportation made up 36% of emissions, and the electricity generation contributed 15%. Emissions from waste and other sectors comprise a smaller percentage relative to the rest of the emission sectors. These results highlight the strong dependency of the islands on fossil fuels for transportation and electricity generation. Alternatives to mitigate and reduce emissions from the islands are discussed. This spatially mapped emissions inventory for the Galapagos Islands represents a powerful tool to make informed decisions to contribute to the long-term sustainability of the archipelago.

Tecnologías para la Evaluación, Diagnóstico y Tratamiento del Trastorno por Déficit de Atención e Hiperactividad: Una Revisión Preliminar e Integradora / Technologies for the Evaluation, Diagnosis and Treatment of Attention Deficit Hyperactivity Disorder: A Preliminary and Integrative Review

El trastorno por déficit de atención e hiperactividad (TDAH) es uno de los trastornos del neurodesarrollo con más alta prevalencia, estimada en 5%, en la población infantil. El objetivo de esta revisión fue sintetizar las tecnologías existentes que sirven para evaluar, diagnosticar y tratar síntomas de TDAH en población pediátrica. Esta es una revisión preliminar, de tipo integradora, que incluyó artículos publicados en 3 bases de datos especializadas, PsycINFO, Eric y Web of Science, entre los años 2005 y 2021. Se encontró que las pruebas diagnósticas clásicas se dividen en pruebas psicométricas, evaluación por biomarcadores y movimientos oculares. Por su parte, las pruebas que utilizan la tecnología son aquellas a evaluación y diagnóstico (DIDE, MOXO, AULA, AQUIARUM y BRAINGAZE) y aquellas que se utilizan en la terapéutica (SINCROLAB, PSIOUS, SISTEMA eTNS y varias basadas en neurofeedback). Las modernas tecnologías ofrecen cierto porcentaje de sensibilidad con baja inversión, tampoco requieren de equipos costosos y la preparación del profesional psicólogo o médico para su aplicación, es relativamente sencilla y accesible, ya que viene como complemento en la compra de la mayoría de los programas. Con el fin de continuar examinando su efectividad, se recomienda seguir evaluando estas herramientas con metodologías más robustas, en poblaciones clínicas grandes, debiendo ser esto una prioridad para futuras investigaciones.

Attention deficit hyperactivity disorder (ADHD) is one of the neurodevelopmental disorders with the highest prevalence, estimated at 5%, in the pediatric population. The objective of this review was to synthesize the existing technologies used to evaluate, diagnose, and treat ADHD symptoms in the pediatric population. This is a preliminary, integrative review, which included articles published in 3 specialized databases, PsycINFO, Eric and Web of Science, between 2005 and 2021. It was found that classical diagnostic tests are divided into psychometric tests, biomarker assessment and eye movements. On the other hand, the tests that use technology are those for evaluation and diagnosis (DIDE, MOXO, AULA, AQUIARUM and BRAINGAZE) and those used in therapy (SINCROLAB, PSIOUS, SISTEMA eTNS and several based-on neurofeedback). The modern technologies offer a certain percentage of sensitivity with low investment, they do not require expensive equipment and the preparation of the psychologist or medical professional for their application is relatively simple and accessible, since it comes as a complement in the purchase of most of the programs. To continue examining their effectiveness, it is recommended to continue assessing these tools with more robust methodologies, in large clinical populations, and this should be a priority for future research.

Tecnologías para la Evaluación, Diagnóstico y Tratamiento del Trastorno por Déficit de Atención e Hiperactividad: Una Revisión Preliminar e Integradora

El trastorno por déficit de atención e hiperactividad (TDAH) es uno de los trastornos del neurodesarrollo con más alta prevalencia, estimada en 5%, en la población infantil. El objetivo de esta revisión fue sintetizar las tecnologías existentes que sirven para evaluar, diagnosticar y tratar síntomas de TDAH en población pediátrica. Esta es una revisión preliminar, de tipo integradora, que incluyó artículos publicados en 3 bases de datos especializadas, PsycINFO, Eric y Web of Science, entre los años 2005 y 2021. Se encontró que las pruebas diagnósticas clásicas se dividen en pruebas psicométricas, evaluación por biomarcadores y movimientos oculares. Por su parte, las pruebas que utilizan la tecnología son aquellas a evaluación y diagnóstico (DIDE, MOXO, AULA, AQUIARUM y BRAINGAZE) y aquellas que se utilizan en la terapéutica (SINCROLAB, PSIOUS, SISTEMA eTNS y varias basadas en neurofeedback). Las modernas tecnologías ofrecen cierto porcentaje de sensibilidad con baja inversión, tampoco requieren de equipos costosos y la preparación del profesional psicólogo o médico para su aplicación, es relativamente sencilla y accesible, ya que viene como complemento en la compra de la mayoría de los programas. Con el fin de continuar examinando su efectividad, se recomienda seguir evaluando estas herramientas con metodologías más robustas, en poblaciones clínicas grandes, debiendo ser esto una prioridad para futuras investigaciones.

Attention deficit hyperactivity disorder (ADHD) is one of the neurodevelopmental disorders with the highest prevalence, estimated at 5%, in the pediatric population. The objective of this review was to synthesize the existing technologies used to evaluate, diagnose, and treat ADHD symptoms in the pediatric population. This is a preliminary, integrative review, which included articles published in 3 specialized databases, PsycINFO, Eric and Web of Science, between 2005 and 2021. It was found that classical diagnostic tests are divided into psychometric tests, biomarker assessment and eye movements. On the other hand, the tests that use technology are those for evaluation and diagnosis (DIDE, MOXO, AULA, AQUIARUM and BRAINGAZE) and those used in therapy (SINCROLAB, PSIOUS, SISTEMA eTNS and several based-on neurofeedback). The modern technologies offer a certain percentage of sensitivity with low investment, they do not require expensive equipment and the preparation of the psychologist or medical professional for their application is relatively simple and accessible, since it comes as a complement in the purchase of most of the programs. To continue examining their effectiveness, it is recommended to continue assessing these tools with more robust methodologies, in large clinical populations, and this should be a priority for future research.

Climate and sea surface trends in the Galapagos Islands.

The Galapagos Islands are a global hotspot of environmental change. However, despite their potentially major repercussions, little is known about current and expected changes in regional terrestrial climate variables and sea surface temperatures (SST). Here, by analysing existing meteorological observations and secondary datasets, we find that the Islands have warmed by about 0.6 °C since the early 1980s, while at the same time becoming drier. In fact, the onset of the wet season is currently delayed 20 days. This drying trend may reverse, however, given that future climate projections for the region suggest mean annual precipitation may increase between 20 and 70%. This would also be accompanied by more extreme wet and hot conditions. Further, we find that regional SST has increased by 1.2 °C over the last two decades. These changes will, in turn, translate into deterioration of marine ecosystems and coral, proliferation of invasive species, and damages to human water, food, and infrastructure systems. Future projections, however, may be overestimated due to the poor capacity of climatic models to capture Eastern-Pacific ENSO dynamics. Our findings emphasize the need to design resilient climate adaptation policies that will remain robust in the face of a wide range of uncertain and changing climatic futures.

Evaluation of geostatistical techniques to estimate the spatial distribution of aboveground biomass in the Amazon rainforest using high-resolution remote sensing data / Avaliação de técnicas geoestatísticas na estimativa da distribuição espacial da biomassa acima do solo na Amazônia utilizando sensoriamento remoto de alta resolução espacial

The spatial distribution of forest biomass in the Amazon is heterogeneous with a temporal and spatial variation, especially in relation to the different vegetation types of this biome. Biomass estimated in this region varies significantly depending on the applied approach and the data set used for modeling it. In this context, this study aimed to evaluate three different geostatistical techniques to estimate the spatial distribution of aboveground biomass (AGB). The selected techniques were: 1) ordinary least-squares regression (OLS), 2) geographically weighted regression (GWR) and, 3) geographically weighted regression - kriging (GWR-K). These techniques were applied to the same field dataset, using the same environmental variables derived from cartographic information and high-resolution remote sensing data (RapidEye). This study was developed in the Amazon rainforest from Sucumbíos - Ecuador. The results of this study showed that the GWR-K, a hybrid technique, provided statistically satisfactory estimates with the lowest prediction error compared to the other two techniques. Furthermore, we observed that 75% of the AGB was explained by the combination of remote sensing data and environmental variables, where the forest types are the most important variable for estimating AGB. It should be noted that while the use of high-resolution images significantly improves the estimation of the spatial distribution of AGB, the processing of this information requires high computational demand.

A distribuição espacial da biomassa na Amazônia é heterogênea, variando temporalmente e espacialmente em relação aos diferentes tipos de formações vegetais abrangidas por este bioma. Estimativas de biomassa nesta região variam significativamente dependendo da abordagem aplicada e do conjunto de dados utilizados para sua modelagem. Assim, este estudo teve como objetivo avaliar três diferentes técnicas geoestatísticas na estimativa da distribuição espacial da biomassa acima do solo (BAS). As técnicas escolhidas foram: 1) regressão por mínimos quadrados ordinários (OLS), 2) regressão geograficamente ponderada (RGP) e, 3) regressão geograficamente ponderada - krigagem (RGP-K). Estas técnicas foram aplicadas sobre um mesmo conjunto de dados de campo, utilizando as mesmas variáveis ambientais decorrentes de dados cartográficos e de sensoriamento remoto de alta resolução espacial (RapidEye). Este trabalho foi desenvolvido na floresta amazônica da província de Sucumbíos no Equador. Os resultados deste estudo mostraram que a RGP-K, sendo uma técnica híbrida, forneceu estimativas estatisticamente satisfatórias com menor erro de predição em comparação com as outras duas técnicas. Além disso, observou-se que 75% da BAS foi explicada pela combinação de dados de sensoriamento remoto e variáveis ambientais, sendo os tipos de formações vegetais a variável de maior importância para estimar BAS. Cabe ressaltar que, embora o uso de imagens de alta resolução espacial melhora significativamente a estimativa da distribuição espacial da BAS, o processamento desta informação requer alta demanda computacional.