CGSpaceA Repository of Agricultural Research Outputs
    View Item 
    •   CGSpace Home
    • International Livestock Research Institute (ILRI)
    • ILRI supervised theses and dissertations
    • View Item
       
    • CGSpace Home
    • International Livestock Research Institute (ILRI)
    • ILRI supervised theses and dissertations
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Spatial distribution of vector snails and their infection with Fasciola cercariae in different agro-ecological zones in Busia County, western Kenya

    Thumbnail
    Authors
    Owiny, M.G.O.
    Date Issued
    2016
    Language
    en
    Type
    Thesis
    Accessibility
    Limited Access
    Metadata
    Show full item record
    Share
    
    Citation
    Owiny, M.G.O. 2016. Spatial distribution of vector snails and their infection with Fasciola cercariae in different agro-ecological zones in Busia County, western Kenya. MSc thesis. Eldoret, Kenya: Moi University.
    Permanent link to cite or share this item: https://hdl.handle.net/10568/77261
    Abstract/Description
    Background: Vector snails play vital role in transmission, epidemiology and control of trematode infections like Fascioliasis. Knowledge on their distribution, infection and preferred habitat can be used to determine transmission zones for trematodiases to enable prevention and control. Objectives: The study aimed to identify species of vector snails in different Agro-Ecological zones (AEZs) in Busia, determine their infection with cercariae and identify environmental factors that promote their survival. Methods: A cross-sectional survey was conducted in March-April, 2016 to determine the spatial distribution of vector snails. We harvested and identified freshwater snails based on their shell morphology using Mandahl-Barth key, and determined their infection with cercariae by microscopy. Descriptive statistics were used to determine the proportions of snails and infection in AEZs. Spatial analysis was done by use of Global Information System (GIS) software. We used correlation coefficient to determine the relationship between snail abundance and environmental characteristics. Results: A total of 1,678 vector snails was collected from 47 sampling sites. Snail types harvested included Lymnaeid (42.3%), Biomphalariae (23.4%), Bulinus (10.0%), Oncomelaniae (22.3%), and Melanoides (2.0%). Lower Midland (LM 1) AEZ harboured 44%, LM2 (33), LM3,4 (18%) and Upper Midland, UM3 (5%). Streams from springs had 41% of the snails. Cercariae were shed in 23.4% of the sites. About 26.5% of the snails shed cercariae. F. gigantica cercariae were shed by L.(Radix) natalensis, Bi. pfeifferi and Bi. sudanica. Lakeshore had both F. gigantica and S. mansoni cercariae shed by Bi. sudanica. Relationship between snail abundance and water pH had a correlation coefficient of 0.05 (p-value = 0.04). Grass was preferred by 54.4% of the snails. Conclusions: Lymnaeid snails’ presence and infection with cercariae were noted in all the AEZs. Streams with near-neutral water pH and grass were the most preferred habitats. Recommendation: Surveillance and public education on trematodiases should focus on all AEZs.
    Other CGIAR Affiliations
    Agriculture for Nutrition and Health
    AGROVOC Keywords
    health
    Subjects
    AGRI-HEALTH; HEALTH;
    Countries
    Kenya
    Regions
    Africa; Eastern Africa
    Organizations Affiliated to the Authors
    Moi University
    Collections
    • ILRI supervised theses and dissertations [643]
    • Zoonoses in Livestock in Kenya (ZooLinK) [69]

    Show Statistical Information


    AboutPrivacy StatementSend Feedback
     

    My Account

    LoginRegister

    Browse

    All of CGSpaceCommunities & CollectionsBy Issue DateAuthorsTitlesBy AGROVOC keywordBy ILRI subjectBy RegionBy CountryBy SubregionBy River basinBy Output typeBy CIP subjectBy CGIAR System subjectBy Alliance Bioversity–CIAT subjectThis CollectionBy Issue DateAuthorsTitlesBy AGROVOC keywordBy ILRI subjectBy RegionBy CountryBy SubregionBy River basinBy Output typeBy CIP subjectBy CGIAR System subjectBy Alliance Bioversity–CIAT subject

    Statistics

    Most Popular ItemsStatistics by CountryMost Popular Authors

    AboutPrivacy StatementSend Feedback