699 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Universidade Federal da BahiaBR4 papers
- Fundação Getulio VargasBR2 papers
- Laboratório Nacional de Computação CientíficaBR2 papers
- Universidade Federal do Rio de JaneiroBR2 papers
- University of WashingtonUS2 papers
- Aalto UniversityFI1 paper
- AcrobatiqUS1 paper
- Advanced Micro Devices (United States)US1 paper
- AgroParisTechFR1 paper
- Ames National LaboratoryUS1 paper
- Argonne National LaboratoryUS1 paper
- Artificial Intelligence in Medicine (Canada)CA1 paper
20 papers
The Open Syndrome Definition
Ana Paula Gomes Ferreira, Aleksandar Anžel, Izabel Oliva Marcilio de Souza +6
Case definitions are essential for effectively communicating public health threats. However, the absence of a standardized, machine-readable format poses significant challenges to…
Clinical characteristics, complications and outcomes of critically ill patients with Dengue in Brazil, 2012-2024: a nationwide, multicentre cohort study
Igor Tona Peres, Otavio T. Ranzani, Leonardo S. L. Bastos +4
Background. Dengue outbreaks are a major public health issue, with Brazil reporting 71% of global cases in 2024. Purpose. This study aims to describe the profile of severe dengue p…
Markov switching zero-inflated space-time multinomial models for comparing multiple infectious diseases
Dirk Douwes-Schultz, Alexandra M. Schmidt, Laís Picinini Freitas +1
Univariate zero-inflated models are increasingly being used to account for excess zeros in spatio-temporal infectious disease counts. However, the multivariate case is challenging…
Neural complexity -- Statistical-mechanical approach of human electroencephalograms
Dimitri Marques Abramov, Constantino Tsallis, Henrique Santos Lima
The brain is a complex system whose understanding enables potentially deeper approaches to mental phenomena. Dynamics of wide classes of complex systems have been satisfactorily de…
Modeling nonlocal behavior in epidemics via a reaction-diffusion system incorporating population movement along a network
Malú Grave, Alex Viguerie, Gabriel F. Barros +3
The outbreak of COVID-19, beginning in 2019 and continuing through the time of writing, has led to renewed interest in the mathematical modeling of infectious disease. Recent works…
Evaluation of Logistic Regression Applied to Respondent-Driven Samples: Simulated and Real Data
Sandro Sperandei, Leonardo S. Bastos, Marcelo Ribeiro-Alves +2
Objective: To investigate the impact of different logistic regression estimators applied to RDS samples obtained by simulation and real data. Methods: Four simulated populations we…
Estimation of COVID-19 under-reporting in Brazilian States through SARI
Balthazar Paixão, Lais Baroni, Rebecca Salles +7
Due to its impact, COVID-19 has been stressing the academy to search for curing, mitigating, or controlling it. However, when it comes to controlling, there are still few studies f…
NWChem: Past, Present, and Future
E. Aprà, E. J. Bylaska, W. A. de Jong +111
Specialized computational chemistry packages have permanently reshaped the landscape of chemical and materials science by providing tools to support and guide experimental efforts…
Prime stars multiplexes
Alfonso Allen-Perkins, Roberto F. S. Andrade
This work investigates the class of prime star multiplexes, in which each of its layers , , consists of a regular cycle graph where any node has neighbor…
Fractional dynamics on circulant multiplex networks: optimal coupling and long-range navigation for continuous-time random walks
Alfonso Allen-Perkins, Roberto F. S. Andrade
This work analyzes fractional continuous-time random walks on two-layer multiplexes. A node-centric dynamics is used, in which it is assumed a Poisson distribution of a walker to b…
Estimating effective population size changes from preferentially sampled genetic sequences
Michael D. Karcher, Marc A. Suchard, Gytis Dudas +1
Coalescent theory combined with statistical modeling allows us to estimate effective population size fluctuations from molecular sequences of individuals sampled from a population…
A survey of biodiversity informatics: Concepts, practices, and challenges
Luiz M. R. Gadelha, Pedro C. de Siracusa, Artur Ziviani +10
The unprecedented size of the human population, along with its associated economic activities, have an ever increasing impact on global environments. Across the world, countries ar…
Fast approaches for Bayesian estimation of size of hard-to-reach populations using Network Scale-up
Leonardo S Bastos, Natalia S Paiva, Francisco I Bastos +1
The Network scale-up method is commonly used to overcome difficulties in estimating the size of hard-to-reach populations. The method uses indirect information based on social netw…
Oscillatory regimes in a mosquito population model with larval feedback on egg hatching
Martin Strugarek, Laetitia Dufour, Nicolas Vauchelet +3
Understanding mosquitoes life cycle is of great interest presently because of the increasing impact of vector borne diseases in several countries. There is evidence of oscillations…
Modelling reporting delays for disease surveillance data
Leonardo Bastos, Theodoros Economou, Marcelo Gomes +6
One difficulty for real-time tracking of epidemics is related to reporting delay. The reporting delay may be due to laboratory confirmation, logistic problems, infrastructure diffi…
Boosting Docking-based Virtual Screening with Deep Learning
Janaina Cruz Pereira, Ernesto Raul Caffarena, Cicero dos Santos
In this work, we propose a deep learning approach to improve docking-based virtual screening. The introduced deep neural network, DeepVS, uses the output of a docking program and l…
Imperfect Testing of Individuals for Infectious Diseases: Mathematical Model and Analysis
Daniel A. M. Villela
Testing symptomatic individuals for a disease can deliver treatment resources, if tests' results turn positive, which speeds up their treatment and might also decrease individuals'…
Combining probability distributions: Extending the logarithmic pooling approach
Luiz Max de Carvalho, Daniel A. M. Villela, Flavio Codeco Coelho +1
Combining distributions is an important issue in decision theory and Bayesian inference. Logarithmic pooling is a popular method to aggregate expert opinions by using a set of weig…
Obtaining adjusted prevalence ratios from logistic regression model in cross-sectional studies
Leonardo Soares Bastos, Raquel de Vasconcellos Carvalhaes de Oliveira, Luciane de Souza Velasque
In the last decades, it has been discussed the use of epidemiological prevalence ratio (PR) rather than odds ratio as a measure of association to be estimated in cross-sectional st…
Estimation of genetic diversity in viral populations from next generation sequencing data with extremely deep coverage
Jean P. Zukurov, Sieberth do Nascimento-Brito, Angela C. Volpini +3
In this paper we propose a method and discuss its computational implementation as an integrated tool for the analysis of viral genetic diversity on data generated by high-throughpu…