@InProceedings{LimaCSLCRMSMM:2015:FrMoSi,
               author = "Lima, Tiago and Carneiro, Tiago and Silva, Leandro and Lana, 
                         Raquel and Code{\c{c}}o, Cl{\'a}udia and Reis, Izabel and 
                         Maretto, Raian Vargas and Santos, Leonardo and Monteiro, 
                         Ant{\^o}nio Miguel Vieira and Medeiros, Liliam",
          affiliation = "{Universidade Federal de Ouro Preto (UFOP)} and {Universidade 
                         Federal de Ouro Preto (UFOP)} and {Universidade Federal de Ouro 
                         Preto (UFOP)} and {Funda{\c{c}}{\~a}o Oswaldo Cruz (Fiocruz)} 
                         and {Funda{\c{c}}{\~a}o Oswaldo Cruz (Fiocruz)} and 
                         {Funda{\c{c}}{\~a}o Oswaldo Cruz (Fiocruz)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)}",
                title = "A framework for modeling and simulating Aedes aegypti and dengue 
                         fever dynamics",
            booktitle = "Proceedings...",
                 year = "2015",
               editor = "Tolk, A. and Diallo, S. Y. and Ryzhov, I. O. and Yilmaz, L.",
         organization = "Winter Simulation Conference",
            publisher = "Institute of Electrical and Electronics Engineers Inc.",
             abstract = "Dengue fever represents a great challenge for many countries, and 
                         methodologies to prevent and/or control its transmission have been 
                         largely discussed by the research community. Modeling is a 
                         powerful tool to understand epidemic dynamics and to evaluate 
                         costs, benefits and effectiveness of control strategies. In order 
                         to assist decision-makers and researchers in the evaluation of 
                         different methodologies, we developed DengueME, a collaborative 
                         open source platform to simulate dengue disease and its vector's 
                         dynamics. DengueME provides a series of compartmental and 
                         individual-based models, implemented over a GIS database, that 
                         represents the Aedes aegypti's life cycle, human demography, human 
                         mobility, urban landscape and dengue transmission. The platform is 
                         designed to allow easy simulation of intervention scenarios. A GUI 
                         was developed to facilitate model configuration and data input.",
      conference-year = "7 -10 Dec. 2014",
                  doi = "10.1109/WSC.2014.702000",
                  url = "http://dx.doi.org/10.1109/WSC.2014.702000",
                 isbn = "978-147997486-3",
                 issn = "08917736",
             language = "en",
           targetfile = "lima_framework.pdf",
        urlaccessdate = "27 abr. 2024"
}