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DOI | 10.1186/s13071-019-3691-5 |
Applying fuzzy logic to assess the biogeographical risk of dengue in South America | |
Romero, David1; Olivero, Jesus2; Real, Raimundo2; Carlos Guerrero, Jose1 | |
发表日期 | 2019 |
ISSN | 1756-3305 |
卷号 | 12期号:1 |
英文摘要 | Background Over the last decade, reports about dengue cases have increase worldwide, which is particularly worrisome in South America due to the historic record of dengue outbreaks from the seventeenth century until the first half of the twentieth century. Dengue is a viral disease that involves insect vectors, namely Aedes aegypti and Ae. albopictus, which implies that, to prevent and combat outbreaks, it is necessary to understand the set of ecological and biogeographical factors affecting both the vector species and the virus. Methods We contribute with a methodology based on fuzzy logic that is helpful to disentangle the main factors that determine favorable environmental conditions for vectors and diseases. Using favorability functions as fuzzy logic modelling technique and the fuzzy intersection, union and inclusion as fuzzy operators, we were able to specify the territories at biogeographical risk of dengue outbreaks in South America. Results Our results indicate that the distribution of Ae. aegypti mostly encompasses the biogeographical framework of dengue in South America, which suggests that this species is the principal vector responsible for the geographical extent of dengue cases in the continent. Nevertheless, the intersection between the favorability for dengue cases and the union of the favorability for any of the vector species provided a comprehensive map of the biogeographical risk for dengue. Conclusions Fuzzy logic is an appropriate conceptual and operational tool to tackle the nuances of the vector-illness biogeographical interaction. The application of fuzzy logic may be useful in decision-making by the public health authorities to prevent, control and mitigate vector-borne diseases. |
WOS研究方向 | Parasitology ; Tropical Medicine |
来源期刊 | PARASITES & VECTORS
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文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/102765 |
作者单位 | 1.Univ Republica, IECA, Fac Ciencias, LDSGAT, Igua 4225, Montevideo 11400, Uruguay; 2.Univ Malaga, Fac Ciencias, Dept Biol Anim, Grp Biogeog Diversidad & Conservac, Bulevar Louis Pasteur 31, Malaga 29010, Spain |
推荐引用方式 GB/T 7714 | Romero, David,Olivero, Jesus,Real, Raimundo,et al. Applying fuzzy logic to assess the biogeographical risk of dengue in South America[J],2019,12(1). |
APA | Romero, David,Olivero, Jesus,Real, Raimundo,&Carlos Guerrero, Jose.(2019).Applying fuzzy logic to assess the biogeographical risk of dengue in South America.PARASITES & VECTORS,12(1). |
MLA | Romero, David,et al."Applying fuzzy logic to assess the biogeographical risk of dengue in South America".PARASITES & VECTORS 12.1(2019). |
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