Temporal Dynamics and Spatial Patterns of Aedes aegypti Breeding Sites, in the Context of a Dengue Control Program in Tartagal (Salta Province, Argentina)

被引:34
|
作者
Espinosa, Manuel [1 ]
Weinberg, Diego [1 ]
Rotela, Camilo H. [2 ]
Polop, Francisco [1 ]
Abril, Marcelo [1 ]
Marcelo Scavuzzo, Carlos [2 ]
机构
[1] Fdn Mundo Sano, Buenos Aires, DF, Argentina
[2] Comis Nacl Actividades Espaciales, Cordoba, Argentina
来源
PLOS NEGLECTED TROPICAL DISEASES | 2016年 / 10卷 / 05期
关键词
SPECIES GEOGRAPHIC DISTRIBUTIONS; VECTOR-BORNE DISEASES; SPACE-TIME ANALYSIS; POPULATION; EPIDEMIOLOGY; OUTBREAK; FEVER; CLIMATE; BRAZIL; TOOLS;
D O I
10.1371/journal.pntd.0004621
中图分类号
R51 [传染病];
学科分类号
100401 ;
摘要
Background Since 2009, Fundacion Mundo Sano has implemented an Aedes aegypti Surveillance and Control Program in Tartagal city (Salta Province, Argentina). The purpose of this study was to analyze temporal dynamics of Ae. aegypti breeding sites spatial distribution, during five years of samplings, and the effect of control actions over vector population dynamics. Methodology/Principal Findings Seasonal entomological (larval) samplings were conducted in 17,815 fixed sites in Tartagal urban area between 2009 and 2014. Based on information of breeding sites abundance, from satellite remote sensing data (RS), and by the use of Geographic Information Systems (GIS), spatial analysis (hotspots and cluster analysis) and predictive model (MaxEnt) were performed. Spatial analysis showed a distribution pattern with the highest breeding densities registered in city outskirts. The model indicated that 75% of Ae. aegypti distribution is explained by 3 variables: bare soil coverage percentage (44.9%), urbanization coverage percentage(13.5%) and water distribution (11.6%). Conclusions/Significance This results have called attention to the way entomological field data and information from geospatial origin (RS/GIS) are used to infer scenarios which could then be applied in epidemiological surveillance programs and in the determination of dengue control strategies. Predictive maps development constructed with Ae. aegypti systematic spatiotemporal data, in Tartagal city, would allow public health workers to identify and target high-risk areas with appropriate and timely control measures. These tools could help decision-makers to improve health system responses and preventive measures related to vector control.
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页数:21
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