SAIFR:2137

Spatial-temporal dengue outbreaks: studies toward a warning system

(2020). Spatial-temporal dengue outbreaks: studies toward a warning system. ICTP South American Institute for Fundamental Research. https://scivideos.org/index.php/ictp-saifr/2137

Spatial-temporal dengue outbreaks: studies toward a warning system. ICTP South American Institute for Fundamental Research, Mar. 02, 2020, https://scivideos.org/index.php/ictp-saifr/2137 

          @misc{ scivideos_SAIFR:2137,
            doi = {},
            url = {https://scivideos.org/index.php/ictp-saifr/2137},
            author = {},
            keywords = {ICTP-SAIFR, IFT, UNESP},
            language = {en},
            title = {Spatial-temporal dengue outbreaks: studies toward a warning system},
            publisher = { ICTP South American Institute for Fundamental Research},
            year = {2020},
            month = {mar},
            note = {SAIFR:2137 see, \url{https://scivideos.org/index.php/ictp-saifr/2137}}
          }
Sergio Oliva
Talk numberSAIFR:2137
Source RepositoryICTP – SAIFR
Collection
Talk Type Conference
Subject

Abstract

The prediction of dengue outbreaks based on disease surveillance is  a very hard problem and a lot of work  had been done in this direction. In this talk, we present two studies with different techniques to partially address the problem. First, with the data for the state of São Paulo, we propose a time-scale separation to adjust the parameters and explore some cell phone data. In the second, using the incidence data for the state of Rio de Janeiro, inspired by the work of Saba, Vale, Moret and Miranda, we propose a way to identify a correlation network that would capture the space connections between the outbreaks.

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