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Ecological niche modeling and land cover risk areas for rift valley fever vector, culex tritaeniorhynchus giles in Jazan, Saudi Arabia.

Sallam MF, Al Ahmed AM, Abdel-Dayem MS, Abdullah MA - PLoS ONE (2013)

Bottom Line: Eleven bioclimatic and slope attributes were found to be the significant predictors for this larval suitable breeding habitat.Among six land cover classes, the linear regression model (LM) indicated wet muddy substrate is significantly associated with high-very high suitable predicted habitats (R(2) = 73.7%, P<0.05).Also, LM indicated that total dissolved salts (TDS) was a significant contributor (R(2) = 23.9%, P<0.01) in determining mosquito larval abundance.

View Article: PubMed Central - PubMed

Affiliation: Department of Plant Protection, College of Food Sciences and Agriculture, King Saud University, Riyadh, Saudi Arabia.

ABSTRACT

Background: The mosquito, Culex tritaeniorhynchus Giles is a prevalent and confirmed Rift Valley Fever virus (RVFV) vector. This vector, in association with Aedimorphus arabiensis (Patton), was responsible for causing the outbreak of 2000 in Jazan Province, Saudi Arabia.

Methodology/principal findings: Larval occurrence records and a total of 19 bioclimatic and three topographic layers imported from Worldclim Database were used to predict the larval suitable breeding habitats for this vector in Jazan Province using ArcGIS ver.10 and MaxEnt modeling program. Also, a supervised land cover classification from SPOT5 imagery was developed to assess the land cover distribution within the suitable predicted habitats. Eleven bioclimatic and slope attributes were found to be the significant predictors for this larval suitable breeding habitat. Precipitation and temperature were strong predictors of mosquito distribution. Among six land cover classes, the linear regression model (LM) indicated wet muddy substrate is significantly associated with high-very high suitable predicted habitats (R(2) = 73.7%, P<0.05). Also, LM indicated that total dissolved salts (TDS) was a significant contributor (R(2) = 23.9%, P<0.01) in determining mosquito larval abundance.

Conclusion/significance: This model is a first step in understanding the spatial distribution of Cx. tritaeniorhynchus and consequently the risk of RVFV in Saudi Arabia and to assist in planning effective mosquito surveillance and control programs by public health personnel and researchers.

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Related in: MedlinePlus

Map of Jazan Province representing water drains/bodies, dams’ locations and agricultural area.
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pone-0065786-g004: Map of Jazan Province representing water drains/bodies, dams’ locations and agricultural area.

Mentions: A total of 3,090 mosquito larvae were collected in 60 days in Jazan Province from 98 sites of different elevations during the dry season from February-May, 2012. Of the 98 sites sampled, 78.6% (77 water bodies) were positive for mosquito larvae. Culex tritaeniorhynchus and Cx. sinaiticus Kirkpatrick comprised 31.2% and 36.1%, respectively of the total number of larvae collected. Culex tritaeniorhynchus larvae were found in 51% (50 water bodies) of the sites. The aquatic habitats sampled were categorized into six types including burrow pits, rain pools, stream bed pools, irrigation ditches, water tanks, and open lakes formed by dams (Fig. 4).


Ecological niche modeling and land cover risk areas for rift valley fever vector, culex tritaeniorhynchus giles in Jazan, Saudi Arabia.

Sallam MF, Al Ahmed AM, Abdel-Dayem MS, Abdullah MA - PLoS ONE (2013)

Map of Jazan Province representing water drains/bodies, dams’ locations and agricultural area.
© Copyright Policy
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC3675080&req=5

pone-0065786-g004: Map of Jazan Province representing water drains/bodies, dams’ locations and agricultural area.
Mentions: A total of 3,090 mosquito larvae were collected in 60 days in Jazan Province from 98 sites of different elevations during the dry season from February-May, 2012. Of the 98 sites sampled, 78.6% (77 water bodies) were positive for mosquito larvae. Culex tritaeniorhynchus and Cx. sinaiticus Kirkpatrick comprised 31.2% and 36.1%, respectively of the total number of larvae collected. Culex tritaeniorhynchus larvae were found in 51% (50 water bodies) of the sites. The aquatic habitats sampled were categorized into six types including burrow pits, rain pools, stream bed pools, irrigation ditches, water tanks, and open lakes formed by dams (Fig. 4).

Bottom Line: Eleven bioclimatic and slope attributes were found to be the significant predictors for this larval suitable breeding habitat.Among six land cover classes, the linear regression model (LM) indicated wet muddy substrate is significantly associated with high-very high suitable predicted habitats (R(2) = 73.7%, P<0.05).Also, LM indicated that total dissolved salts (TDS) was a significant contributor (R(2) = 23.9%, P<0.01) in determining mosquito larval abundance.

View Article: PubMed Central - PubMed

Affiliation: Department of Plant Protection, College of Food Sciences and Agriculture, King Saud University, Riyadh, Saudi Arabia.

ABSTRACT

Background: The mosquito, Culex tritaeniorhynchus Giles is a prevalent and confirmed Rift Valley Fever virus (RVFV) vector. This vector, in association with Aedimorphus arabiensis (Patton), was responsible for causing the outbreak of 2000 in Jazan Province, Saudi Arabia.

Methodology/principal findings: Larval occurrence records and a total of 19 bioclimatic and three topographic layers imported from Worldclim Database were used to predict the larval suitable breeding habitats for this vector in Jazan Province using ArcGIS ver.10 and MaxEnt modeling program. Also, a supervised land cover classification from SPOT5 imagery was developed to assess the land cover distribution within the suitable predicted habitats. Eleven bioclimatic and slope attributes were found to be the significant predictors for this larval suitable breeding habitat. Precipitation and temperature were strong predictors of mosquito distribution. Among six land cover classes, the linear regression model (LM) indicated wet muddy substrate is significantly associated with high-very high suitable predicted habitats (R(2) = 73.7%, P<0.05). Also, LM indicated that total dissolved salts (TDS) was a significant contributor (R(2) = 23.9%, P<0.01) in determining mosquito larval abundance.

Conclusion/significance: This model is a first step in understanding the spatial distribution of Cx. tritaeniorhynchus and consequently the risk of RVFV in Saudi Arabia and to assist in planning effective mosquito surveillance and control programs by public health personnel and researchers.

Show MeSH
Related in: MedlinePlus