umu.sePublikasjoner
Endre søk
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
Datasets for mapping pastoralist movement patterns and risk zones of Rift Valley fever occurrence
Umeå universitet, Medicinska fakulteten, Institutionen för klinisk mikrobiologi, Virologi.
Vise andre og tillknytning
2018 (engelsk)Inngår i: Data in Brief, E-ISSN 2352-3409, Vol. 16, s. 762-770Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

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.

sted, utgiver, år, opplag, sider
Elsevier, 2018. Vol. 16, s. 762-770
Emneord [en]
Home range estimation, Vector distribution, Rift Valley fever
HSV kategori
Identifikatorer
URN: urn:nbn:se:umu:diva-155042DOI: 10.1016/j.dib.2017.11.097ISI: 000449758500102PubMedID: 29276743OAI: oai:DiVA.org:umu-155042DiVA, id: diva2:1276008
Tilgjengelig fra: 2019-01-07 Laget: 2019-01-07 Sist oppdatert: 2019-01-07bibliografisk kontrollert

Open Access i DiVA

fulltext(13146 kB)90 nedlastinger
Filinformasjon
Fil FULLTEXT01.pdfFilstørrelse 13146 kBChecksum SHA-512
ef482f48845efdbc7a855e3af1f4457e61b072b29f1cc55dcbede4f254a178dcfed59cab2cc20488701e109e16cdb626d37534b18b21071fb5a5dc17f3f45ecc
Type fulltextMimetype application/pdf

Andre lenker

Forlagets fulltekstPubMed

Personposter BETA

Evander, MagnusAhlm, ClasHassan, Osama AhmedLwande, Olivia Wesula

Søk i DiVA

Av forfatter/redaktør
Evander, MagnusAhlm, ClasHassan, Osama AhmedLwande, Olivia Wesula
Av organisasjonen
I samme tidsskrift
Data in Brief

Søk utenfor DiVA

GoogleGoogle Scholar
Totalt: 90 nedlastinger
Antall nedlastinger er summen av alle nedlastinger av alle fulltekster. Det kan for eksempel være tidligere versjoner som er ikke lenger tilgjengelige

doi
pubmed
urn-nbn

Altmetric

doi
pubmed
urn-nbn
Totalt: 226 treff
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf