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Modeling Occurrence of Urban Mosquitos Based on Land Use Types and Meteorological Factors in Korea.

Kwon YS, Bae MJ, Chung N, Lee YR, Hwang S, Kim SA, Choi YJ, Park YS - Int J Environ Res Public Health (2015)

Bottom Line: These clusters were well reflected in PCA ordinations, indicating that mosquito occurrence was highly influenced by land use types.Lastly, the RF represented the highest predictive power for mosquito occurrence and temperature-related factors were the most influential.Our study will contribute to effective control and management of mosquito occurrences.

View Article: PubMed Central - PubMed

Affiliation: Department of Life and Nanopharmaceutical Sciences, Kyung Hee University, Seoul 02447, Korea. davy3021@hanmail.net.

ABSTRACT
Mosquitoes are a public health concern because they are vectors of pathogen, which cause human-related diseases. It is well known that the occurrence of mosquitoes is highly influenced by meteorological conditions (e.g., temperature and precipitation) and land use, but there are insufficient studies quantifying their impacts. Therefore, three analytical methods were applied to determine the relationships between urban mosquito occurrence, land use type, and meteorological factors: cluster analysis based on land use types; principal component analysis (PCA) based on mosquito occurrence; and three prediction models, support vector machine (SVM), classification and regression tree (CART), and random forest (RF). We used mosquito data collected at 12 sites from 2011 to 2012. Mosquito abundance was highest from August to September in both years. The monitoring sites were differentiated into three clusters based on differences in land use type such as culture and sport areas, inland water, artificial grasslands, and traffic areas. These clusters were well reflected in PCA ordinations, indicating that mosquito occurrence was highly influenced by land use types. Lastly, the RF represented the highest predictive power for mosquito occurrence and temperature-related factors were the most influential. Our study will contribute to effective control and management of mosquito occurrences.

No MeSH data available.


Related in: MedlinePlus

PCA ordination based on the differences in mosquito abundance. The land use types that showed significant correlation coefficients (P < 0.05) with the first two principal axes are shown as straight lines. The line length indicates the magnitude of the correlation and the line direction implies a negative or positive correlation with each axis. Land use types: culture and sport area (CULT); inland water (WATE); and traffic area (TRAF).
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ijerph-12-13131-f006: PCA ordination based on the differences in mosquito abundance. The land use types that showed significant correlation coefficients (P < 0.05) with the first two principal axes are shown as straight lines. The line length indicates the magnitude of the correlation and the line direction implies a negative or positive correlation with each axis. Land use types: culture and sport area (CULT); inland water (WATE); and traffic area (TRAF).

Mentions: The mosquito occurrence differences according to the land use type were also reflected in PCA based on the mosquito abundance (cumulative variance of axes 1 and 2: 87.2%) (Figure 6). For instance, the monitoring sites in Cluster 1 were ordinated mainly on the left part of the ordination; sites in Cluster 2 were on the upper right part, and sites in Cluster 3 were on the right lower part. Considering the correlation between PCA axes and the relative ratio of land use types, culture and sport area (r = −0.82, P < 0.05) and inland water (r = −0.55, P < 0.05) were negatively correlated with axis 1, whereas traffic area (r = 0.68, P < 0.05) was positively correlated with axis 1.


Modeling Occurrence of Urban Mosquitos Based on Land Use Types and Meteorological Factors in Korea.

Kwon YS, Bae MJ, Chung N, Lee YR, Hwang S, Kim SA, Choi YJ, Park YS - Int J Environ Res Public Health (2015)

PCA ordination based on the differences in mosquito abundance. The land use types that showed significant correlation coefficients (P < 0.05) with the first two principal axes are shown as straight lines. The line length indicates the magnitude of the correlation and the line direction implies a negative or positive correlation with each axis. Land use types: culture and sport area (CULT); inland water (WATE); and traffic area (TRAF).
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4627021&req=5

ijerph-12-13131-f006: PCA ordination based on the differences in mosquito abundance. The land use types that showed significant correlation coefficients (P < 0.05) with the first two principal axes are shown as straight lines. The line length indicates the magnitude of the correlation and the line direction implies a negative or positive correlation with each axis. Land use types: culture and sport area (CULT); inland water (WATE); and traffic area (TRAF).
Mentions: The mosquito occurrence differences according to the land use type were also reflected in PCA based on the mosquito abundance (cumulative variance of axes 1 and 2: 87.2%) (Figure 6). For instance, the monitoring sites in Cluster 1 were ordinated mainly on the left part of the ordination; sites in Cluster 2 were on the upper right part, and sites in Cluster 3 were on the right lower part. Considering the correlation between PCA axes and the relative ratio of land use types, culture and sport area (r = −0.82, P < 0.05) and inland water (r = −0.55, P < 0.05) were negatively correlated with axis 1, whereas traffic area (r = 0.68, P < 0.05) was positively correlated with axis 1.

Bottom Line: These clusters were well reflected in PCA ordinations, indicating that mosquito occurrence was highly influenced by land use types.Lastly, the RF represented the highest predictive power for mosquito occurrence and temperature-related factors were the most influential.Our study will contribute to effective control and management of mosquito occurrences.

View Article: PubMed Central - PubMed

Affiliation: Department of Life and Nanopharmaceutical Sciences, Kyung Hee University, Seoul 02447, Korea. davy3021@hanmail.net.

ABSTRACT
Mosquitoes are a public health concern because they are vectors of pathogen, which cause human-related diseases. It is well known that the occurrence of mosquitoes is highly influenced by meteorological conditions (e.g., temperature and precipitation) and land use, but there are insufficient studies quantifying their impacts. Therefore, three analytical methods were applied to determine the relationships between urban mosquito occurrence, land use type, and meteorological factors: cluster analysis based on land use types; principal component analysis (PCA) based on mosquito occurrence; and three prediction models, support vector machine (SVM), classification and regression tree (CART), and random forest (RF). We used mosquito data collected at 12 sites from 2011 to 2012. Mosquito abundance was highest from August to September in both years. The monitoring sites were differentiated into three clusters based on differences in land use type such as culture and sport areas, inland water, artificial grasslands, and traffic areas. These clusters were well reflected in PCA ordinations, indicating that mosquito occurrence was highly influenced by land use types. Lastly, the RF represented the highest predictive power for mosquito occurrence and temperature-related factors were the most influential. Our study will contribute to effective control and management of mosquito occurrences.

No MeSH data available.


Related in: MedlinePlus