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1.
Rev Panam Salud Publica ; 44: e10, 2020.
Article in Portuguese | MEDLINE | ID: mdl-32051684

ABSTRACT

OBJECTIVE: To present a method to identify critical areas for selected infectious and parasitic diseases for the purpose of health surveillance and to analyze the association between these critical areas and poverty indicators in Brazil. METHOD: The following incidence rates were mapped: dengue, acute Chagas disease, schistosomiasis, Hansen's disease, hepatitis A, cutaneous leishmaniasis, visceral leishmaniasis, leptospirosis, malaria, and tuberculosis. The analyses were performed for the period from 2010 to 2017 based on a synthetic indicator calculated as the mean of mean incidence coefficients for each disorder, normalized by the mean and standard deviation during the period of analysis. A 2014 population estimate was used. The calculated coefficients were stratified for classification of municipalities into very high, high, medium, low, or very low criticality according to each disorder. Indicators expressing several socioeconomic dimensions and space segregation in Brazilian municipalities were also selected and tested regarding their association with the transmission of the diseases under study. RESULTS: The indicator showed that 40.5% of Brazilian municipalities had high criticality for the diseases of interest, especially in the North, parts of the Northeast, and Midwest. Indicators "proportion of poverty," "garbage in surroundings," and "families headed by women" increased the chance of higher criticality for the diseases. The indicator "adequate sewer system" was a potential protection factor. CONCLUSIONS: The technique used was adequate to guide surveillance actions in the country and allows articulation between local surveillance efforts and other sectors to resolve health problems caused by infectious and parasitic diseases and associated factors.


OBJETIVO: Presentar un método para identificar áreas críticas relacionadas con ciertas enfermedades infecciosas y parasitarias con fines de vigilancia sanitaria y analizar su asociación con los indicadores de pobreza en Brasil. MÉTODOS: Se cartografiaron las tasas de incidencia de dengue, enfermedad de Chagas aguda, esquistosomiasis, lepra, hepatitis A, leishmaniasis cutánea, leishmaniasis visceral, leptospirosis, malaria y tuberculosis. Se efectuaron análisis para los años 2010 a 2017 a partir de un indicador de síntesis, calculado como el promedio de los coeficientes de incidencia promedio para cada enfermedad, normalizado por la media y la desviación estándar durante el período analizado. La base de población estimada fue la de 2014. Los coeficientes calculados se estratificaron para clasificar los municipios según presentaran una situación crítica muy alta, alta, media, baja o muy baja para cada enfermedad. Se seleccionaron también indicadores de diferentes dimensiones que expresaran las desigualdades socioeconómicas y la segregación espacial en los municipios brasileños, y se evaluó su asociación con las enfermedades estudiadas. RESULTADOS: El indicador demostró que el 40,5% de los municipios brasileños presentan una situación crítica alta, en especial en las regiones Norte y Centro-oeste y parte del Nordeste. Los indicadores "proporción de pobreza", "basura en los alrededores", "aguas servidas en los alrededores" y "familias encabezadas por mujeres" pueden aumentar la posibilidad de que la localidad presente una situación más crítica para las enfermedades. El indicador "red cloacal adecuada" puede considerarse un potencial factor de protección. CONCLUSIONES: La técnica utilizada fue adecuada para orientar las acciones de vigilancia sanitaria en el país y permite la articulación entre la vigilancia local y otros sectores para evitar los problemas de salud causados por las enfermedades infecciosas y parasitarias y los factores relacionados.

2.
PLoS One ; 13(1): e0190673, 2018.
Article in English | MEDLINE | ID: mdl-29304070

ABSTRACT

The goal of this study was to assess the goodness-of-fit of theoretical models of population dynamics of Aedes aegypti to trap data collected by a long term entomological surveillance program. The carrying capacity K of this vector was estimated at city and neighborhood level. Adult mosquito abundance was measured via adults collected weekly by a network of sticky traps (Mosquitraps) from January 2008 to December 2011 in Vitória, Espírito Santo, Brazil. K was the only free parameter estimated by the model. At the city level, the model with temperature as a driver captured the seasonal pattern of mosquito abundance. At the local level, we observed a spatial heterogeneity in the estimated carrying capacity between neighborhoods, weakly associated with environmental variables related to poor infrastructure. Model goodness-of-fit was influenced by the number of sticky traps, and suggests a minimum of 16 traps at the neighborhood level for surveillance.


Subject(s)
Aedes , Models, Statistical , Animals , Brazil
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