Tsetse Fly (G.f. fuscipes) Distribution in the Lake Victoria Basin of Uganda
Tsetse Fly (G.f. fuscipes) Distribution in the Lake Victoria Basin of Uganda
Tsetse flies transmit trypanosomes, the causative agent of human and animal African trypanosomiasis. The tsetse vector is extensively distributed across sub-Saharan Africa. Trypanosomiasis maintenance is determined by the interrelationship of three elements: vertebrate host, parasite and the vector responsible for transmission. Mapping the distribution and abundance of tsetse flies assists in predicting trypanosomiasis distributions and developing rational strategies for disease and vector control. Given scarce resources to carry out regular full scale field tsetse surveys to up-date existing tsetse maps, there is a need to devise inexpensive means for regularly obtaining dependable area-wide tsetse data to guide control activities. In this study we used spatial epidemiological modelling techniques (logistic regression) involving 5000 field-based tsetse-data (G. f. fuscipes) points over an area of 40,000 km2, with satellite-derived environmental surrogates composed of precipitation, temperature, land cover, normalised difference vegetation index (NDVI) and elevation at the sub-national level. We used these extensive tsetse data to analyse the relationships between presence of tsetse (G. f. fuscipes) and environmental variables. The strength of the results was enhanced through the application of a spatial autologistic regression model (SARM). Using the SARM we showed that the probability of tsetse presence increased with proportion of forest cover and riverine vegetation. The key outputs are a predictive tsetse distribution map for the Lake Victoria basin of Uganda and an improved understanding of the association between tsetse presence and environmental variables. The predicted spatial distribution of tsetse in the Lake Victoria basin of Uganda will provide significant new information to assist with the spatial targeting of tsetse and trypanosomiasis control.
0003705-[14pp]
Mugenyi, Albert
86686e5c-dfcd-4961-8146-9101fd08d62c
Wardrop, Nicola A.
8f3a8171-0727-4375-bc68-10e7d616e176
Atkinson, Peter M.
96e96579-56fe-424d-a21c-17b6eed13b0b
Torr, Steve J
8aa42f39-7580-4dc3-954f-9eef02ed6699
Welburn, Susan C
531d82a4-0190-4ff9-a7bb-576ae38fa0b3
April 2015
Mugenyi, Albert
86686e5c-dfcd-4961-8146-9101fd08d62c
Wardrop, Nicola A.
8f3a8171-0727-4375-bc68-10e7d616e176
Atkinson, Peter M.
96e96579-56fe-424d-a21c-17b6eed13b0b
Torr, Steve J
8aa42f39-7580-4dc3-954f-9eef02ed6699
Welburn, Susan C
531d82a4-0190-4ff9-a7bb-576ae38fa0b3
Mugenyi, Albert, Wardrop, Nicola A., Atkinson, Peter M., Torr, Steve J and Welburn, Susan C
(2015)
Tsetse Fly (G.f. fuscipes) Distribution in the Lake Victoria Basin of Uganda.
PLoS Neglected Tropical Diseases, 9 (4), .
(doi:10.1371/journal.pntd.0003705).
Abstract
Tsetse flies transmit trypanosomes, the causative agent of human and animal African trypanosomiasis. The tsetse vector is extensively distributed across sub-Saharan Africa. Trypanosomiasis maintenance is determined by the interrelationship of three elements: vertebrate host, parasite and the vector responsible for transmission. Mapping the distribution and abundance of tsetse flies assists in predicting trypanosomiasis distributions and developing rational strategies for disease and vector control. Given scarce resources to carry out regular full scale field tsetse surveys to up-date existing tsetse maps, there is a need to devise inexpensive means for regularly obtaining dependable area-wide tsetse data to guide control activities. In this study we used spatial epidemiological modelling techniques (logistic regression) involving 5000 field-based tsetse-data (G. f. fuscipes) points over an area of 40,000 km2, with satellite-derived environmental surrogates composed of precipitation, temperature, land cover, normalised difference vegetation index (NDVI) and elevation at the sub-national level. We used these extensive tsetse data to analyse the relationships between presence of tsetse (G. f. fuscipes) and environmental variables. The strength of the results was enhanced through the application of a spatial autologistic regression model (SARM). Using the SARM we showed that the probability of tsetse presence increased with proportion of forest cover and riverine vegetation. The key outputs are a predictive tsetse distribution map for the Lake Victoria basin of Uganda and an improved understanding of the association between tsetse presence and environmental variables. The predicted spatial distribution of tsetse in the Lake Victoria basin of Uganda will provide significant new information to assist with the spatial targeting of tsetse and trypanosomiasis control.
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Mugenyi_PlosNTD_2015_TsetseDistribution.pdf
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More information
Accepted/In Press date: 16 March 2015
e-pub ahead of print date: 15 April 2015
Published date: April 2015
Organisations:
Population, Health & Wellbeing (PHeW)
Identifiers
Local EPrints ID: 376142
URI: http://eprints.soton.ac.uk/id/eprint/376142
ISSN: 1935-2735
PURE UUID: 43824426-2449-4f78-a957-46e20fc006c9
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Date deposited: 27 Apr 2015 09:16
Last modified: 15 Mar 2024 02:47
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Author:
Albert Mugenyi
Author:
Peter M. Atkinson
Author:
Steve J Torr
Author:
Susan C Welburn
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