Determinação de áreas prioritárias para ações de controle da dengue

Abstract

OBJECTIVE:To identify areas at risk of dengue transmission by means of cluster analysis. METHODS:A cluster analysis in which the primary analysis units were the 48 districts of the municipality of Niterói, Southeastern Brazil, was conducted. The districts were grouped into six strata according to sociodemographic conditions, using the k-means cluster analysis method. After defi ning the strata, the incidence of dengue was calculated for each stratum in relation to four different periods : 1998 -2000; 2001; 2002; 2003 -2006. RESULTS:The analysis on the incidence showed that the rates for the last three study periods were greatest in the stratum 2.1, which had the worst sanitation infrastructure conditions and high population increases, and in stratum 3.1, which had the highest percentage of shantytowns. Stratum 1.2 presented the lowest incidence and the best sanitation and income indicators, along with small increases in population and a low proportion of shantytowns. The incidence rates in 2001 and 2002 were high in most strata except for stratum 1.2, which had the districts with the least heterogeneity in relation to the indicators used. In 2001, the strata presented high rates of incidence when group immunity had supposedly become established for serotype I, thus expressing the transmission strength of this agent. CONCLUSIONS:The cluster analysis technique made it possible to recognize priority areas. It indicated areas where the dengue control and surveillance actions needed to be improved, along with structural improvements that infl uenced the living conditions and health of the municipality's population.

Spatial distribution of dengue incidence and socio-environmental conditions in Campinas, São Paulo State, Brazil, 2007

“…Although the vector's proliferation is not directly related to sewage disposal coverage, this factor indirectly reflects precarious housing conditions and poor access to urban equipment and services 27 . These results corroborate Brazilian 15,16,28,29 and international studies that relate dengue incidence to socioenvironmental conditions 20,21,22,23,24,25,26,27,28,29,30,31,32,33 . Higher viral circulation in these areas results in higher incidence rates in children living in neighborhoods with precarious services.…”

“…The classification summarized variables from the population census of 2000, some of which used in previous studies 13,15,16 . The following indicators were used: proportion of heads of households with income up to three times the minimum wage; proportion of heads of households with up to three years of schooling; proportion of households with inadequate sewage disposal; and proportion of households with inadequate garbage disposal.…”

Multivariate statistical analysis to support the minimum streamflow regionalization

“…It has been employed in several areas of knowledge, for instance, genetics (CARVALHO et al, 2009), management (COUTO JR & GALDI, 2012, health (RESENDES et al, 2010) and environmental engineering (HATVANI et al, 2011). In hydrology, cluster analysis is a technique often used to define classes or to group stations into homogeneous climate regions, i.e.…”

Diferenciais intraurbanos na distribuição de dengue em Cuiabá, 2007 e 2008

“…Analyses based on ample and heterogeneous spaces, such as neighborhoods, may not allow relations between this micro social level and incidence to appear 26 . Studies based on more homogeneous areas, like census sectors, could possibly capture these differences more accurately, but in the case of Cuiabá there would not be corresponding entomological data for these areas.…”