Abstract

BackgroundDengue cases have increased during the last decades, particularly in non-endemic areas, and Argentina was no exception in the southern transmission fringe. Although temperature rise has been blamed for this, human population growth, increased travel and inefficient vector control may also be implicated. The relative contribution of geographic, demographic and climatic of variables on the occurrence of dengue cases was evaluated.MethodsAccording to dengue history in the country, the study was divided in two decades, a first decade corresponding to the reemergence of the disease and the second including several epidemics. Annual dengue risk was modeled by a temperature-based mechanistic model as annual days of possible transmission. The spatial distribution of dengue occurrence was modeled as a function of the output of the mechanistic model, climatic, geographic and demographic variables for both decades.ResultsAccording to the temperature-based model dengue risk increased between the two decades, and epidemics of the last decade coincided with high annual risk. Dengue spatial occurrence was best modeled by a combination of climatic, demographic and geographic variables and province as a grouping factor. It was positively associated with days of possible transmission, human population number, population fall and distance to water bodies. When considered separately, the classification performance of demographic variables was higher than that of climatic and geographic variables.ConclusionsTemperature, though useful to estimate annual transmission risk, does not fully describe the distribution of dengue occurrence at the country scale. Indeed, when taken separately, climatic variables performed worse than geographic or demographic variables. A combination of the three types was best for this task.

Highlights

  • Dengue cases have increased during the last decades, in non-endemic areas, and Argentina was no exception in the southern transmission fringe

  • At the country level, the percentage of districts recording autochthonous dengue transmission increased from 1.2% (6/503) in Decade 1 (D1) to 19.5% (98/503) in Decade 2 (D2)

  • Dengue risk increased in 12.5 annual days of possible transmission per year (DPT)

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Summary

Introduction

Dengue cases have increased during the last decades, in non-endemic areas, and Argentina was no exception in the southern transmission fringe. The study of dengue distribution has been traditionally addressed by two broad approaches: theoretical models ( known as mathematical, mechanistic or biological models) and empirical models ( known as statistical models) [5]. The former make use of mosquito life tables and vectorial capacity including several bionomic parameters [8,9,10]) They model the outcome of several factors that drive the occurrence of the disease, may sometimes associate the distribution of cases with spurious variables [11]. Empirical models rely on the current distribution of cases, which may not necessarily extend to the entire potential or historic area, and might underestimate the future distribution of the disease [5]

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