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  • Bishop, Anusha P.Yale Univ, Dept Ecol & Evolutionary Biol, New Haven, CT USA.;Univ Calif Berkeley, Dept Environm Sci Policy & Management, Berkeley, CA 94720 USA. (författare)

A machine learning approach to integrating genetic and ecological data in tsetse flies (Glossina pallidipes) for spatially explicit vector control planning

  • Artikel/kapitelEngelska2021

Förlag, utgivningsår, omfång ...

  • 2021-05-05
  • John Wiley & Sons,2021
  • electronicrdacarrier

Nummerbeteckningar

  • LIBRIS-ID:oai:DiVA.org:uu-454523
  • https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-454523URI
  • https://doi.org/10.1111/eva.13237DOI

Kompletterande språkuppgifter

  • Språk:engelska
  • Sammanfattning på:engelska

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Klassifikation

  • Ämneskategori:ref swepub-contenttype
  • Ämneskategori:art swepub-publicationtype

Anmärkningar

  • Vector control is an effective strategy for reducing vector-borne disease transmission, but requires knowledge of vector habitat use and dispersal patterns. Our goal was to improve this knowledge for the tsetse species Glossina pallidipes, a vector of human and animal African trypanosomiasis, which are diseases that pose serious health and socioeconomic burdens across sub-Saharan Africa. We used random forest regression to (i) build and integrate models of G. pallidipes habitat suitability and genetic connectivity across Kenya and northern Tanzania and (ii) provide novel vector control recommendations. Inputs for the models included field survey records from 349 trap locations, genetic data from 11 microsatellite loci from 659 flies and 29 sampling sites, and remotely sensed environmental data. The suitability and connectivity models explained approximately 80% and 67% of the variance in the occurrence and genetic data and exhibited high accuracy based on cross-validation. The bivariate map showed that suitability and connectivity vary independently across the landscape and was used to inform our vector control recommendations. Post hoc analyses show spatial variation in the correlations between the most important environmental predictors from our models and each response variable (e.g., suitability and connectivity) as well as heterogeneity in expected future climatic change of these predictors. The bivariate map suggests that vector control is most likely to be successful in the Lake Victoria Basin and supports the previous recommendation that G. pallidipes from most of eastern Kenya should be managed as a single unit. We further recommend that future monitoring efforts should focus on tracking potential changes in vector presence and dispersal around the Serengeti and the Lake Victoria Basin based on projected local climatic shifts. The strong performance of the spatial models suggests potential for our integrative methodology to be used to understand future impacts of climate change in this and other vector systems.

Ämnesord och genrebeteckningar

Biuppslag (personer, institutioner, konferenser, titlar ...)

  • Amatulli, GiuseppeYale Univ, Sch Environm, New Haven, CT USA. (författare)
  • Hyseni, ChazUppsala universitet,Zooekologi(Swepub:uu)chahy946 (författare)
  • Pless, EvlynYale Univ, Dept Ecol & Evolutionary Biol, New Haven, CT USA.;Univ Calif Davis, Dept Anthropol, Davis, CA 95616 USA. (författare)
  • Bateta, RosemaryKenya Agr & Livestock Res Org, Biotechnol Res Inst, Nairobi, Kenya. (författare)
  • Okeyo, Winnie A.Kenya Agr & Livestock Res Org, Biotechnol Res Inst, Nairobi, Kenya.;Maseno Univ, Dept Biomed Sci & Technol, Sch Publ Hlth & Community Dev, Maseno, Kisumu, Kenya. (författare)
  • Mireji, Paul O.Kenya Agr & Livestock Res Org, Biotechnol Res Inst, Nairobi, Kenya.;Kenya Govt Med Res Ctr, Ctr Geog Med Res Coast, Kilifi, Kenya. (författare)
  • Okoth, SylvanceKenya Agr & Livestock Res Org, Biotechnol Res Inst, Nairobi, Kenya. (författare)
  • Malele, ImnaTanzania Vet Lab Agcy, Vector & Vector Borne Dis Res Inst, Tanga, Tanzania. (författare)
  • Murilla, GraceKenya Agr & Livestock Res Org, Biotechnol Res Inst, Nairobi, Kenya. (författare)
  • Aksoy, SerapYale Sch Publ Hlth, Dept Epidemiol Microbial Dis, New Haven, CT USA. (författare)
  • Caccone, AdalgisaYale Univ, Dept Ecol & Evolutionary Biol, New Haven, CT USA. (författare)
  • Saarman, Norah P.Yale Univ, Dept Ecol & Evolutionary Biol, New Haven, CT USA.;Utah State Univ, Dept Biol, Logan, UT 84322 USA. (författare)
  • Yale Univ, Dept Ecol & Evolutionary Biol, New Haven, CT USA.;Univ Calif Berkeley, Dept Environm Sci Policy & Management, Berkeley, CA 94720 USA.Yale Univ, Sch Environm, New Haven, CT USA. (creator_code:org_t)

Sammanhörande titlar

  • Ingår i:Evolutionary Applications: John Wiley & Sons14:7, s. 1762-17771752-4571

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