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Gabriel Jacome
Kyung Hee University
Climate changeAedes aegyptiDengue virusPopulationDengue fever
6Publications
3H-index
20Citations
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Publications 7
Newest
#1Paulina Vilela (Kyung Hee University)H-Index: 2
#2Gabriel JacomeH-Index: 3
Last. ChangKyoo Yoo (Kyung Hee University)H-Index: 30
view all 5 authors...
Abstract Endangered species ecosystems require appropriate monitoring for assessing population growth related to the emerging pollutants in their habitat conditions. The response of population growth of Cobitis choii, an endangered fish species, under the exposure to emerging pollutants present in the Geum River Basin of South Korea was studied. Toxicity models of concentration addition (CA), independent action (IA), and concentration addition-independent action (CAIA) were implemented utilizing...
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#1Gabriel Jacome (Kyung Hee University)H-Index: 3
#2Paulina Vilela (ESPOL: Escuela Superior Politecnica del Litoral)H-Index: 2
Last. ChangKyoo Yoo (Kyung Hee University)H-Index: 30
view all 3 authors...
Dengue fever, a vector-borne disease, represents a priority public health problem in Ecuador. Previous studies indicated that the ecology of the transmitter vector (Aedes aegypti) is influenced by environmental parameters and human behavior; however, the effects of those variables on mosquito population dynamics depend on local environmental features. In this study, we identified the most important factors influencing the risk of dengue virus infection in Ecuador. The maximum entropy algorithm (...
Source
#1Gabriel Jacome (Kyung Hee University)H-Index: 3
#2Paulina Vilela (ESPOL: Escuela Superior Politecnica del Litoral)H-Index: 2
Last. ChangKyoo Yoo (Kyung Hee University)H-Index: 30
view all 3 authors...
Abstract Researchers have showed that climatic, population, economic, and social characteristics contribute to the proliferation of Aedes aegypti, the main vector of dengue fever (DF) in Ecuador. In this study, we identified the factors with the greatest influence on dengue virus spread using a spatio-temporal analysis. We applied the maximum entropy algorithm (MaxEnt) to determine the spatial distribution of DF and identify areas with high probability of presence of A. aegypti by analyzing mont...
1 CitationsSource
#1Gabriel Jacome (Kyung Hee University)H-Index: 3
#2Carla ValarezoH-Index: 1
Last. ChangKyoo Yoo (Kyung Hee University)H-Index: 30
view all 3 authors...
Pollution and the eutrophication process are increasing in lake Yahuarcocha and constant water quality monitoring is essential for a better understanding of the patterns occurring in this ecosystem. In this study, key sensor locations were determined using spatial and temporal analyses combined with geographical information systems (GIS) to assess the influence of weather features, anthropogenic activities, and other non-point pollution sources. A water quality monitoring network was established...
4 CitationsSource
#1Dongwoo Kim (Kyung Hee University)H-Index: 3
#2Gabriel Jacome (Kyung Hee University)H-Index: 3
Last. ChangKyoo Yoo (Kyung Hee University)H-Index: 30
view all 6 authors...
Many studies have been conducted on climate change vulnerability assessments to develop adaptive strategies for climate change on a national or global scale. The development of an assessment tool for climate change on a process-level is necessary for evaluating vulnerability and to suggest an effective adaptive strategy in wastewater treatment plants (WWTP). Therefore, we proposed a vulnerability assessment index at the process-level in a WWTP to evaluate adaptive strategies for climate change i...
1 CitationsSource
#1Pouya Ifaei (Kyung Hee University)H-Index: 9
#2Abdolreza Karbassi (UT: University of Tehran)H-Index: 23
Last. ChangKyoo Yoo (Kyung Hee University)H-Index: 30
view all 4 authors...
Abstract In the current study, an algorithm-based data processing, sizing, optimization, sensitivity analysis and clustering approach (DaSOSaCa) is proposed as an efficient simultaneous solar/wind assessment methodology. Accordingly, data processing is performed to obtain reliable high quality meteorological data among various datasets, which are used for hybrid photovoltaic/wind turbine/storage/converter system optimal design for consequent sites in a large region. The optimal hybrid systems ar...
9 CitationsSource
#1Wladimir Moya (Kyung Hee University)H-Index: 3
#2Gabriel Jacome (Kyung Hee University)H-Index: 3
Last. ChangKyoo Yoo (Kyung Hee University)H-Index: 30
view all 3 authors...
In order to enhance in terms of accuracy and predict the modeling of the potential distribution of species, the integration of using principal components of environmental variables as input of maximum entropy (MaxEnt) has been proposed in this study. Principal components selected previously from the principal component analysis results performed in ArcGIS in the environmental variables was used as an input data of MaxEnt instead of raw data to model the potential distribution of red spiny lobste...
5 CitationsSource
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