Artículos de revistas
Spatial spread of dengue in a non-endemic tropical city in northern Argentina
Fecha
2016-06Registro en:
Gil, José Fernando; Palacios Sonzini, Julio Maximiliano; Krolewiecki, Alejandro Javier; Cortada, Pedro; Flores, Rosana; et al.; Spatial spread of dengue in a non-endemic tropical city in northern Argentina; Elsevier Science; Acta Tropica; 158; 6-2016; 24-31
0001-706X
CONICET Digital
CONICET
Autor
Gil, José Fernando
Palacios Sonzini, Julio Maximiliano
Krolewiecki, Alejandro Javier
Cortada, Pedro
Flores, Rosana
Jaime, Cesar
Arias, Luis
Villalpando, Carlos
Alberti D'amato, Anahí Maitén
Nasser, Julio Rubén
Aparicio, Juan Pablo
Resumen
After more than eighty years dengue reemerged in Argentina in 1997. Since then, the largest epidemic in terms of geographical extent, magnitude and mortality, was recorded in 2009. In this report we analyzed the DEN-1 epidemic spread in Orán, a mid-size city in a non-endemic tropical area in Northern Argentina, and its correlation with demographic and socioeconomic factors. Cases were diagnosed by ELISA between January and June 2009. We applied a space-time and spatial scan statistic under a Poisson model. Possible association between dengue incidence and socio-economic variables was studied with the Spearman correlation test. The epidemic started from an imported case from Bolivia and space-time analysis detected two clusters: one on February and other in April (in the south and the northeast of the city respectively) with risk ratios of 25.24 and 4.07 (p <0.01). Subsequent cases spread widely around the city without significant space-temporal clustering. Maximum values of the entomological indices were observed in January, at the beginning of the epidemic (B = 21.96; LH = 8.39). No statistically significant association between socioeconomic variables and dengue incidence was found but positive correlation between population size and the number of cases (p < 0.05) was detected. Two mechanisms may explain the observed pattern of epidemic spread in this non-endemic tropical city: a) Short range dispersal of mosquitoes and people generates clusters of cases and b) long-distance (within the city) human movement contributes to a quasi-random distribution of cases.