Domingos Alves

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We extend the deterministic population genetics formulation of the quasispecies model [Phys. Rev. E 54, 4048 (1996)] to finite populations in order to investigate analytically the dependence of the error threshold on the population size. In particular, we find that for large populations the replication accuracy at the threshold increases linearly with the(More)
The proposal of new analytical techniques has guided innovative methodological developments in public health interventions. The goal of this work is show advances in the development of a large scale system for space-time visualization, monitoring, modeling and analysis of epidemic data using a Grid platform. The resulting virtual laboratory, dubbed(More)
This work presents the architecture of a data access and integration service dedicated to epidemic monitoring and execution of epidemic simulations dubbed grid integration service (GISE). GISE is a flexible service built on Globus 4 grid infrastructure. Its architecture uses mediators, wrappers and canonic data models to perform queries on geographically(More)
BACKGROUND The partograph is currently the main tool available to support decision-making of health professionals during labour. However, the rate of appropriate use of the partograph is disappointingly low. Apart from limitations that are associated with partograph use, evidence of positive impact on labour-related health outcomes is lacking. The main goal(More)
This paper presents a service related to epidemiologic monitoring providing a database of maps, synthetics graphs, and spatial-temporal information of a particular disease enriched with demographic data and urban georeferenced structure. The proposed service is to be used for Brazilian health agencies and the involved metropolitan authorities which will(More)
The translation or mapping between terminologies in healthcare is one of the ways to achieve semantic interoperability between information systems. Accordingly, we propose a method to assist the translation of terminologies based on the association rules mining in integrated databases containing data encoded with two different terminologies. This method(More)