Literature DB >> 26875764

Spatial spread of dengue in a non-endemic tropical city in northern Argentina.

José F Gil1, Maximiliano Palacios2, Alejandro J Krolewiecki3, Pedro Cortada4, Rosana Flores5, Cesar Jaime6, Luis Arias7, Carlos Villalpando8, Anahí M Alberti DÁmato9, Julio R Nasser10, Juan P Aparicio11.   

Abstract

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.
Copyright © 2016 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Aedes aegypti; Dengue; Larval indexes; Non-endemic city; Spatial analysis

Mesh:

Year:  2016        PMID: 26875764     DOI: 10.1016/j.actatropica.2016.02.003

Source DB:  PubMed          Journal:  Acta Trop        ISSN: 0001-706X            Impact factor:   3.112


  2 in total

1.  Temperature, traveling, slums, and housing drive dengue transmission in a non-endemic metropolis.

Authors:  Juan Manuel Gurevitz; Julián Gustavo Antman; Karina Laneri; Juan Manuel Morales
Journal:  PLoS Negl Trop Dis       Date:  2021-06-11

2.  Assessing Seasonal Risks for the Introduction and Mosquito-borne Spread of Zika Virus in Europe.

Authors:  Joacim Rocklöv; Mikkel Brandon Quam; Bertrand Sudre; Matthew German; Moritz U G Kraemer; Oliver Brady; Isaac I Bogoch; Jing Liu-Helmersson; Annelies Wilder-Smith; Jan C Semenza; Mark Ong; Kaja Kaasik Aaslav; Kamran Khan
Journal:  EBioMedicine       Date:  2016-06-10       Impact factor: 8.143

  2 in total

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