10 research outputs found
Characterising droughts in Central America with uncertain hydro-meteorological data
Central America is frequently affected by droughts that cause significant socio-economic and environmental problems. Drought characterisation, monitoring and forecasting are potentially useful to support water resource management. Drought indices are designed for these purposes, but their ability to characterise droughts depends on the characteristics of the regional climate and the quality of the available data. Local comprehensive and high-quality observational networks of meteorological and hydrological data are not available, which limits the choice of drought indices and makes it important to assess available datasets. This study evaluated which combinations of drought index and meteorological dataset were most suitable for characterising droughts in the region. We evaluated the standardised precipitation index (SPI), a modified version of the deciles index (DI), the standardised precipitation evapotranspiration index (SPEI) and the effective drought index (EDI). These were calculated using precipitation data from the Climate Hazards Group Infra-Red Precipitation with Station (CHIRPS), the CRN073 dataset, the Climate Research Unit (CRU), ECMWF Reanalysis (ERA-Interim) and a regional station dataset, and temperature from the CRU and ERA-Interim datasets. The gridded meteorological precipitation datasets were compared to assess how well they captured key features of the regional climate. The performance of all the drought indices calculated with all the meteorological datasets was then evaluated against a drought index calculated using river discharge data. Results showed that the selection of database was more important than the selection of drought index and that the best combinations were the EDI and DI calculated with CHIRPS and CRN073. Results also highlighted the importance of including indices like SPEI for drought assessment in Central America.Universidad de Costa Rica/[805-B0-810]/UCR/Costa RicaUniversidad de Costa Rica/[805-A9-532]/UCR/Costa RicaUniversidad de Costa Rica/[805-B3-600]/UCR/Costa RicaUniversidad de Costa Rica/[805-B0-065]/UCR/Costa RicaUniversidad de Costa Rica/[805-B3-413]/UCR/Costa RicaUniversidad de Costa Rica/[805-B4-227]/UCR/Costa RicaUniversidad de Costa Rica/[805-B4-228]/UCR/Costa RicaUniversidad de Costa Rica/[805-B5-295]/UCR/Costa RicaUppsala University/[54100006]//SueciaMarie Curie Intra-European Fellowship/[No.329762]//EuropaUCR::Vicerrectoría de Investigación::Unidades de Investigación::Ciencias Básicas::Centro de Investigaciones Geofísicas (CIGEFI)UCR::Vicerrectoría de Docencia::Ciencias Básicas::Facultad de Ciencias::Escuela de Físic
Student Perceptions of the Use of a Laser Pointer for Intra-Operative Guidance in Feline Castration
Cosmetic outcomes following head and neck melanoma reconstruction: The patient's perspective
From a theoretical model to a predictive simulation model of operator interaction with support systems: designing experiments to build the numerical simulation
Fear of cancer recurrence: a theoretical review and novel cognitive processing formulation
Conquer fear: protocol of a randomised controlled trial of a psychological intervention to reduce fear of cancer recurrence
Background: Up to 70% of cancer survivors report clinically significant levels of fear of cancer recurrence (FCR). Despite the known negative impact of FCR on psychological wellbeing and quality of life, little research has investigated interventions for high FCR. Our team has developed and piloted a novel intervention (Conquer Fear) based on the Self-Regulatory Executive Function Model and Relational Frame Theory and is evaluating Conquer Fear in a randomised controlled trial (RCT). We aim to compare the efficacy and cost-efficacy of the Conquer Fear Intervention and relaxation training in reducing the impact of FCR.Methods/design: This study is a multi-centre RCT with 260 participants randomised either to the Conquer Fear Intervention or relaxation training. Both interventions will be delivered in five sessions over 10 weeks by trained psychologists, psychiatrists and social workers with five or more years experience in oncology. Conquer Fear sessions use attentional training, detached mindfulness, meta-cognitive therapy, values clarification and psycho-education to help patients change the way they regulate and respond to thoughts about cancer recurrence. Relaxation training includes training in progressive and passive muscle relaxation, meditative relaxation, visualisation and " quick relaxation" techniques. Relaxation was chosen to control for therapist time and attention and has good face-validity as an intervention. The primary outcome is fear of cancer recurrence. Secondary outcomes include distress, quality of life, unmet needs, and health care utilisation. Participants complete questionnaires prior to starting the intervention, immediately after completing the intervention, 3 and 6 months later. Eligible participants are early-stage breast or colorectal cancer survivors who have completed hospital-based treatment between 2 months and 5 years prior to study entry and report a score in the clinical range on the Fear of Cancer Recurrence Inventory. The biostatistician is blinded to group allocation and participants are blinded to which intervention is being evaluated. Randomisation is computer generated, stratified by therapist, and uses sequentially numbered sealed envelopes.Discussion: If successful, the study will provide an evidence-based intervention to reduce psychological morbidity in cancer survivors, and reduce overall health care costs due to more appropriate use of follow-up care and other health services in this very large population.Trial registration: Trial registration: ACTRN12612000404820