@InProceedings{LopesSoSoPaFeLo:2017:AvEsCa,
author = "Lopes, Elfany Reis do Nascimento and Souza, Jos{\'e} Carlos and
Sousa, Jocy Ana Paix{\~a}o de and Padovanni, Naia Godoy and
Ferreira, Helio Henrique and Louren{\c{c}}o, Roberto Wagner",
title = "Avalia{\c{c}}{\~a}o espacial dos casos de dengue no
per{\'{\i}}metro urbano de Itu, S{\~a}o Paulo",
booktitle = "Anais...",
year = "2017",
editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz
Eduardo Oliveira e Cruz de",
pages = "197--203",
organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 18. (SBSR)",
publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
address = "S{\~a}o Jos{\'e} dos Campos",
abstract = "In Brazil, cases of dengue increased alarmingly. These numbers
have grown from 40.279 in 1990 to 589.100 in 2014. Currently the
disease is considered a public health problem, especially in the
Southeast. This study aimed to evaluate the spatial distribution
and density of dengue cases in the period 2005-2014, in the urban
space of Itu, S{\~a}o Paulo, Brazil. The confirmed cases were
raised by the Zoonosis Control Center of the city, resulting in
the case rate for each district and its density by kernel
analysis. A georeferenced digital base was Built containing the
geoinformation of the disease, linked to neighborhoods with vector
to the spatial distribution analysis of cases and incidence of
dengue. In the period 2005-2014 were recorded 1379 dengue cases,
with 1214 autochthonous cases and 165 imported cases. The cases
autochthonous registered are related to the precariousness of
urban infrastructure with the absence of adequate sanitation and
garbage collection. The year 2013 obtained the highest
notification and largest registry of autochthonous and imported
cases of dengue. The spatial distribution of cases rate
highlighted the strong occurrence in the central strip with three
main clusters, helping the understanding of the spatial dynamics
of dengue in the city over time.",
conference-location = "Santos",
conference-year = "28-31 maio 2017",
isbn = "978-85-17-00088-1",
label = "59669",
language = "pt",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "8JMKD3MGP6W34M/3PS43HS",
url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PS43HS",
targetfile = "59669.pdf",
type = "Sa{\'u}de",
urlaccessdate = "27 abr. 2024"
}