Mosomtai, Gladys and Evander, Magnus and Mundia, Charles and Sandström, Per and Ahlm, Clas and Hassan, Osama Ahmed and Lwande, Olivia Wesula and Gachari, Moses K. and Landmann, Tobias and Sang, Rosemary
(2018).
Datasets for mapping pastoralist movement patterns and risk zones of Rift Valley fever occurrence.
Data in Brief. 16
, 762-770
[Journal article]
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Abstract
Rift Valley fever (RVF) is a zoonotic disease affecting humans and animals. It is caused by RVF virus transmitted primarily by Aedes mosquitoes. The data presented in this article propose environmental layers suitable for mapping RVF vector habitat zones and livestock migratory routes. Using species distribution modelling, we used RVF vector occurrence data sampled along livestock migratory routes to identify suitable vector habitats within the study region which is located in the central and the north-eastern part of Kenya. Eleven herds monitored with GPS collars were used to estimate cattle utilization distribution patterns. We used kernel density estimator to produce utilization contours where the 0.5 percentile represents core grazing areas and the 0.99 percentile represents the entire home range. The home ranges were overlaid on the vector suitability map to identify risks zones for possible RVF exposure. Assimilating high spatial and temporal livestock movement and vector distribution datasets generates new knowledge in understanding RVF epidemiology and generates spatially explicit risk maps. The results can be used to guide vector control and vaccination strategies for better disease control. (C) 2017 The Authors. Published by Elsevier Inc.
Authors/Creators: | Mosomtai, Gladys and Evander, Magnus and Mundia, Charles and Sandström, Per and Ahlm, Clas and Hassan, Osama Ahmed and Lwande, Olivia Wesula and Gachari, Moses K. and Landmann, Tobias and Sang, Rosemary | ||||||
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Title: | Datasets for mapping pastoralist movement patterns and risk zones of Rift Valley fever occurrence | ||||||
Year of publishing : | 2018 | ||||||
Volume: | 16 | ||||||
Page range: | 762-770 | ||||||
Number of Pages: | 9 | ||||||
Publisher: | Elsevier | ||||||
ISSN: | 2352-3409 | ||||||
Language: | English | ||||||
Publication Type: | Journal article | ||||||
Article category: | Scientific peer reviewed | ||||||
Version: | Published version | ||||||
Copyright: | Creative Commons: Attribution 4.0 | ||||||
Full Text Status: | Public | ||||||
Subjects: | (A) Swedish standard research categories 2011 > 1 Natural sciences > 106 Biological Sciences (Medical to be 3 and Agricultural to be 4) > Immunology (Immunology in the medical area to be 30110) (A) Swedish standard research categories 2011 > 1 Natural sciences > 106 Biological Sciences (Medical to be 3 and Agricultural to be 4) > Ecology (A) Swedish standard research categories 2011 > 1 Natural sciences > 106 Biological Sciences (Medical to be 3 and Agricultural to be 4) > Other Biological Topics | ||||||
Keywords: | Home range estimation, Vector distribution, Rift Valley fever | ||||||
URN:NBN: | urn:nbn:se:slu:epsilon-p-99050 | ||||||
Permanent URL: | http://urn.kb.se/resolve?urn=urn:nbn:se:slu:epsilon-p-99050 | ||||||
Additional ID: |
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ID Code: | 17080 | ||||||
Faculty: | S - Faculty of Forest Sciences | ||||||
Department: | (S) > Dept. of Forest Resource Management (NL, NJ) > Dept. of Forest Resource Management | ||||||
Deposited By: | SLUpub Connector | ||||||
Deposited On: | 04 Jun 2020 07:50 | ||||||
Metadata Last Modified: | 04 Jun 2020 07:50 |
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