Use of geospatial tools for decision-making in the arboviruses prevention and control, in the Cordoba city, Argentina

被引：0

作者：

Rojas, Maria Nazarena R. ^{[1
]}

Porcasi, Ximena ^{[1
]}

Garcia Ferreyra, Maria Fernanda ^{[1
]}

Lopez, Laura ^{[2
]}

Lanfri, Mario ^{[1
]}

Lighezzolo, Andres ^{[1
]}

Guzman, Claudio ^{[2
]}

Aguirre, Exequiel ^{[1
]}

Albornoz, Carlos ^{[1
]}

Marcelo Scavuzzo, Carlos ^{[1
]}

机构：

[1] Comis Nacl Actividades Espaciales, Buenos Aires, DF, Argentina

[2] Min Salud Prov Cordoba, Area Epidemiol, Cordoba, Argentina

来源：

2017 XVII WORKSHOP ON INFORMATION PROCESSING AND CONTROL (RPIC) | 2017年

关键词：

Arbovirus; Ae; aegypti; Remote Sensing; Maximum Entropy (MaxEnt); AEDES-AEGYPTI; DENGUE; DYNAMICS; OUTBREAK;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In Argentina, the Dengue virus (within the group of arbovirosis) has been a major public health problem since 1997. The most important outbreak in the history was carried out in 2016, and with the main transmitting vector Ae. Aegypti the transmission of the Chikungunya and Zika viruses was potentiated. The goal of this study is provide useful tools, such as the Aedes distribution prediction models, for decision makers in order to control vector. We apply maximun entropy method using Aedes breeding sites and macro environmental variables derived from Spot 6 images. Five maps of probability of vector presence was produced. Un increment in the areas with a high probability of presence from 4.8% in October to 8.8% in January was observed. The spatio-temporal distribution patterns of Ae. Aegypti accomplished in this work intends to contribute in taking actions in vector control in Cordoba city.

引用

页数：5

共 22 条

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