Sistema Gerenciador de Ambiente Laboratorial - GAL: Avaliação de uma ferramenta para a vigilância sentinela de síndrome gripal, Brasil, 2011-2012*

Abstract

the system is useful in meeting the goals of SSILI; however, there are some recommendations for adjustments and for encouraging the adherence by the states that do not use the system yet.

Administrative Data Linkage in Brazil: Potentials for Health Technology Assessment

“…In 2008, the MoH, aiming to improve laboratory information through the General Coordination of Public Health Laboratories (CGLAB) and DATASUS, elaborated the Laboratory Environment Management System [Gerenciador de Ambiente Laboratorial (GAL)]. GAL is a free software with its own communication patterns, distributed, robust and flexible architecture, and multi-platforms (Jesus et al, 2013; Júnior et al, 2017). The national module of the GAL manages, monitors, and concentrates the results of the laboratory tests informed by the State Modules of the following six areas: Medical Biology, Environmental and Worker Health, Animal, Quality Control, Management, and Quality and Biotechnology.…”

Avaliação da implantação do Sistema de Informação de Agravos de Notificação em Pernambuco, 2014*

“…This Daniely Aleixo Barbosa Maia et al fact arose from irregular periodicity and reflected on the promptness of the surveillance system and on the taking of measures for the prevention and control of health events. 5,[26][27][28] These monitoring indicator results may indicate low acceptance of the surveillance system by the health workers involved. Usually, acceptance is greater when the usefulness of the information produced is recognized.…”

“…19,29 The degree of data processing implantation was coherent with the result indicators, probably because this is an essential routine for the system and which has been improved in the face of criticism as to coherence between variables, correction of mistakes and enhanced quality of information. 1,[27][28][29][30] Notwithstanding, the state-level SINAN system should not be restricted only to these activities.…”

Estudo da Estabilidade do Modelo Compartimental SIRC Fracionário

“…No PVI fracionário (3), o parâmetro µ > 0é a taxa de mortalidade e natalidade, α > 0, δ > 0, γ > 0 são o inverso do tempo em que os indivíduos ficam no compartimentos I, R e C, respectivamente, σ > 0é a probabilidade média de reinfecção e β > 0é o contato entre os compartimentos S e I. Ainda, as quantidades S(0) = S 0 , I(0) = I 0 , R(0) = R 0 e C(0) = C 0 são as condições iniciais para o PVI fracionário (3). Já N = S + I + R + C, 3 representando o total da população, e θ ∈]0, 1]é a ordem da derivada.…”

“…Segundo a revista do SistemaÚnico de Saúde do Brasil, Epidemiologia e Serviços de Saúde, vários panoramas tem se mostrado preocupantes como potenciais epidemias, o vírus Zika, a Dengue e a Febre Amarela são alguns exemplos. Sazonalmente, diversas formas de influenzas também têm chamado a atenção das autoridades de saúde [3].…”