Integração de sistemas computacionais e modelos logísticos de otimização para prevenção e combate à dengue

Abstract

ResumoO uso do conhecimento da ciência moderna no sentido de aprimorar os esforços de combate a doenças transmitidas por animais, denominadas zoonoses, em regiões tropicais é uma preocupação considerada de grande relevância pelos gestores da OMS. Este trabalho apresenta o desenvolvimento de uma metodologia de planejamento logístico para prevenção e combate à dengue, baseada em sistemas Geográficos de Informação e sistemas de Apoio a Decisão com modelos incorporados de otimização. Apresentamos também, uma ferramenta computacional, baseada na Web, desktops e palms e poquets, capaz de aplicar tal metodologia. Estudos e testes piloto, nas cidades de Sobral e Fortaleza, Ceará foram realizados. Os resultados dessa aplicação computacional forneceram, após os testes, uma melhor visualização da dimensão do problema de coordenação do combate para os gestores da dengue, ou seja, foram plenamente exitosos nesses experimentos pioneiros.Palavras-chave: logística de combate a doenças tropicais; programação inteira; SADE; sistemas para Web. AbstractThe use of modern science knowledge towards improving the efforts to combat zoonoses -, diseases that are communicable by animals -, in tropical regions is a concern taken into account by the World Health Organization (WHO) officials. In this article we intend to present the development of a logistical planning methodology for the prevention and combat of dengue, based on Geographic Information Systems (GIS) and Decision Support Systems with optimization models incorporated. We also present a Web, desktop, palm and pocket-based computational framework tool for use as a support in the application of such methodology, which was tested in a pilot case in the city of Sobral and most recently in the city of Fortaleza, state of Ceará, Brazil, and that has been providing a better view of the dimension of the problems faced by the officials responsible for coordinating the combat of diseases caused by zoonoses, namely dengue.

Sector arc routing-based spatial decision support system for waste collection in Brazil

“…Over the past 30 years, Negreiros, Palhano and others have developed OPILM systems ( Graphvs, 2020 ), including systems for wholesalers, hospital and commercial waste collection (OPILM SisRot ® FULL) ( Negreiros et al, 2013 ), arbovirus disease control (OPILM WebDengue ® ) ( Negreiros et al., 2008 ) and Brazilian regulation implementation in waste collection services (SisRot ® LIX).…”

New trends and opportunities in post-disaster relief optimization problems

“…Another problem very common in Brazil is the propagation of sickness by a mosquito like such as Aedes aegypti. Some studies investigate the population dynamics of the mosquito and propose optimization models to install barriers (chemical, physical, genetic or biologic) (Florentino et al, 2018), or even define control clustering, as in Negreiros et al (2008). The type of barriers will affect the mathematical models and is important to reduce the propagation of disease.…”