133 citations · 150 across the 6 of their papers we have counts for
6 papers
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…
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'…
An analysis of the vectorial capacity using moment-generating functions
Daniel A. M. Villela
This paper describes a technique for analyzing the stochastic structure of the vectorial capacity using moment--generating functions. In such formulation, for an infectious disease…
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…