A5078879975- Soil Geostatistics and Mapping
- Spatial and Panel Data Analysis
- COVID-19 epidemiological studies
- Data-Driven Disease Surveillance
- SARS-CoV-2 detection and testing
- Statistical Methods and Inference
- Atmospheric and Environmental Gas Dynamics
- SARS-CoV-2 and COVID-19 Research
- Mosquito-borne diseases and control
- Marine and fisheries research
- Air Quality Monitoring and Forecasting
- Land Use and Ecosystem Services
- Geochemistry and Geologic Mapping
- COVID-19 diagnosis using AI
- Remote Sensing and LiDAR Applications
- Economic and Environmental Valuation
- Geography and Environmental Studies
- Peer-to-Peer Network Technologies
- Genetic and phenotypic traits in livestock
- Neuroscience and Music Perception
- COVID-19 Clinical Research Studies
- COVID-19 Digital Contact Tracing
- Air Quality and Health Impacts
- Distributed and Parallel Computing Systems
- Bayesian Methods and Mixture Models
University of Minho
2013-2025
Southwest Bahia State University
2025
Institute of Mathematics
2022
Doho University
2014
Summary Geostatistics involves the fitting of spatially continuous models to discrete data. Preferential sampling arises when process that determines data locations and being modelled are stochastically dependent. Conventional geostatistical methods assume, if only implicitly, is non-preferential. However, these often used in situations where likely be preferential. For example, mineral exploration, samples may concentrated areas thought yield high grade ore. We give a general expression for...
RESUMOO traumatismo craniano (LCT) é uma das principais causas de morbimortalidade global, afetando predominantemente jovens e idosos, com implicações significativas na saúde pública. Este estudo aborda a fisiopatologia, avaliação clínica intervenções terapêuticas, destacando estratégias para otimizar o manejo os desfechos em pacientes LCT. Foi realizada revisão sistemática seguindo diretrizes reconhecidas, buscas abrangentes nas bases PubMed, Scopus Web of Science, abrangendo publicações...
A osteoporose é uma doença metabólica óssea multifatorial caracterizada pela redução progressiva da densidade mineral e pelo aumento do risco de fraturas, especialmente em mulheres pós-menopausa homens idosos. Este estudo apresenta revisão literatura abrangente sobre os avanços no diagnóstico, tratamento manejo doença, abordando fatores risco, métodos diagnósticos intervenções terapêuticas. pesquisa foi conduzida bases dados como PubMed Scopus, considerando publicações entre 2014 2024,...
A Atenção Primária à Saúde (APS) busca um cuidado integral, considerando determinantes sociais e promovendo ações preventivas de promoção da saúde. Estratégia Família (ESF) é modelo fundamental nesse contexto, estruturado para fortalecer a participação comunitária aprimorar assistência. abordagem envolve planejamento, implementação avaliação que integram população no processo cuidado, garantindo maior resolutividade efetividade. Esta revisão sistemática analisou esses processos na ESF,...
Purpose Digital transformation (DT) is connected to how information technologies (IT) can be harnessed address organizational needs and leverage business opportunities. DT projects are complex endeavors, IT just one aspect manage. Other crucial elements include people, information, processes, capability culture. Embedding into an organization over poorly established processes or without the correct initiatives first step toward failure in projects. Based on processing theory, this research...
Aggregation of data values plays an important role on distributed computations, in particular, over peer-to-peer and sensor networks, as it can provide a summary some global system property direct the actions self-adaptive algorithms. Examples include using estimates network size to dimension hash tables or average load balancing. Distributed aggregation nonidempotent functions, like sums, is not trivial easy prevent given value from being accounted for multiple times; this especially case...
During the initial phases of COVID-19 pandemic, accurate tracking has proven unfeasible. Initial estimation methods pointed toward case numbers that were much higher than officially reported. In CoronaSurveys project, we have been addressing this issue using open online surveys with indirect reporting. We compare our estimates results a serology study for Spain, obtaining high correlations (R squared 0.89). view, these strongly support idea reporting as method to broadly sense progress pandemic.
Abstract Symptoms-based detection of SARS-CoV-2 infection is not a substitute for precise diagnostic tests but can provide insight into the likely level in given population. This study uses symptoms data collected Global COVID-19 Trends and Impact Surveys (UMD CTIS), on variants sequencing from GISAID. work, conducted January 2022 during emergence Omicron variant (subvariant BA.1), aims to improve quality available use resulting estimates levels assess changes vaccine efficacy change...
Aggregation of data values plays an important role on distributed computations, in particular over peer-to-peer and sensor networks, as it can provide a summary some global system property direct the actions self-adaptive algorithms. Examples include using estimates network size to dimension hash tables or average load load-balancing. Distributed aggregation non-idempotent functions, like sums, is not trivial easy prevent given value from being accounted for multiple times; this especially...
Abstract In this work, the nonparametric kernel prediction will be considered for spatial stochastic processes when a sampling design is assumed selection of locations. We prove that under rather general conditions, mean-squared error tends to negligible as sample size increases. However, use optimal bandwidth demands estimation unknown quantities, whose accurate approximation can often difficult in practice. Hence, alternative cross-validation approaches provided both local and global...
Abstract Understanding the key factors influencing population dynamics of fish stocks requires knowledge their spatial distribution and seasonal habitat selection, but these spatio‐temporal are often not explicitly included in ecological studies stock assessment models. This study standardized data sardine fishery‐dependent catch‐per‐unit‐ effort (CPUE) from west coast Portugal using Bayesian hierarchical models (BHSTM) with integrated nested Laplace approximation (INLA). Sardine CPUE was...
Abstract. The variogram provides an important method for measuring the dependence of attribute values between spatial locations. Suppose that nature sampling process leads to presence clustered data; it would be advisable use a estimator aims adjust clustering samples. In this setting, non‐parametric weighted estimator, obtained by considering inverse weight given neighbourhood density combined with kernel method, seems have satisfactory behaviour in practice. This paper pursues theoretical...
The distribution function of a spatial random process provides the probability that variable involved does not exceed given threshold. Estimation this can be addressed in parametric way, although available data do always support model assumption. Additional options for approximation are based on applying indicator kriging technique or sill estimation, which demand assuming stationary conditions from and also estimation variogram. In paper, latter approaches will redesigned, by previously...
Abstract Data collected in the Global COVID-19 Trends and Impact Surveys (UMD CTIS), data on variants sequencing from GISAID, are used to evaluate impact of Omicron variant (in South Africa other countries) prevalence among unvaccinated vaccinated population, general discriminating by number doses. In Africa, we observe that December (with strong presence Omicron) population is comparable during previous wave August-September), which Delta was with largest presence. However, vaccinated, much...
Abstract Having accurate and timely data on active COVID-19 cases is challenging, since it depends the availability of an appropriate infrastructure to perform tests aggregate their results. In this paper, we consider a case be if infectious, propose methods estimate number infectious from official (of confirmed fatalities) public survey data. We show that latter viable option in countries with reduced testing capacity or infrastructures.
Abstract Scientific tools capable of identifying distribution patterns species are important as they contribute to improve knowledge about biodiversity and dynamics. The present study aims estimate the spatiotemporal sardine ( Sardina pilchardus , Walbaum 1792) in Portuguese continental waters, relating variability biomass index with environmental conditions. Acoustic data was collected during spring acoustic surveys (PELAGO) over a total 16,370 hauls from 2000 2020 (gap 2012). We propose...