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Data-based analysis, modelling and forecasting of the COVID-19 outbreak
TLDR
Based on the publicly available epidemiological data for Hubei, China from January 11 to February 10, 2020, estimates of the main epidemiological parameters are provided, including an estimation of the case fatality and case recovery ratios, along with their 90% confidence intervals as the outbreak evolves.
Data-Based Analysis, Modelling and Forecasting of the COVID-19 outbreak
TLDR
Based on the publicly available epidemiological data for Hubei, China from January 11 to February 10, 2020, estimates of the main epidemiological parameters are provided, including an estimation of the case fatality and case recovery ratios, along with their 90% confidence intervals as the outbreak evolves.
Mathematical modeling of infectious disease dynamics
TLDR
The main approaches that are used for the surveillance and modeling of infectious disease dynamics are discussed and the basic concepts underpinning their implementation and practice are presented.
Wildland fire spread modelling using cellular automata: evolution in large-scale spatially heterogeneous environments under fire suppression tactics
We show how microscopic modelling techniques such as Cellular Automata linked with detailed geographical information systems (GIS) and meteorological data can be used to efficiently predict the
Coarse-scale PDEs from fine-scale observations via machine learning
TLDR
A data-driven framework for the identification of unavailable coarse-scale PDEs from microscopic observations via machine-learning algorithms using Gaussian processes, artificial neural networks, and/or diffusion maps is introduced.
Correlation of Opioid Mortality with Prescriptions and Social Determinants: A Cross-sectional Study of Medicare Enrollees
TLDR
The prescription opioid rate, and especially that by certain categories of prescribers, correlated with opioid-related mortality, and interventions should prioritize providers that have a disproportionate impact and those that care for populations with socioeconomic factors that place them at higher risk.
Judging the judges' performance in rhythmic gymnastics.
TLDR
The fact that international-level judges outperformed both other groups, while not relying on visual fixation to detect errors, suggests that these experienced judges probably make use of other cognitive strategies, increasing their overall error detection efficiency, which was, however, still far below optimum.
Foreshocks and short-term hazard assessment of large earthquakes usingcomplex networks: the case of the 2009 L'Aquila earthquake
Abstract. The monitoring of statistical network properties could be useful for the short-term hazard assessment of the occurrence of mainshocks in the presence of foreshocks. Using successive
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