Rift Valley fever: Influence of herd immunity patterns on transmission dynamics

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cg.contributor.affiliationInternational Livestock Research Instituteen
cg.contributor.crpAgriculture for Nutrition and Healthen
cg.coverage.countryKenyaen
cg.coverage.iso3166-alpha2KEen
cg.coverage.regionAfricaen
cg.coverage.regionEastern Africaen
cg.creator.identifierBernard Bett: 0000-0001-9376-2941en
cg.howPublishedGrey Literatureen
cg.identifier.urlhttps://www.slideshare.net/ILRI/rvf-herd-immunity-and-transmission-dynamicsen
cg.subject.ilriANIMAL DISEASESen
cg.subject.ilriDISEASE CONTROLen
cg.subject.ilriEPIDEMIOLOGYen
cg.subject.ilriLIVESTOCKen
cg.subject.ilriRESEARCHen
cg.subject.ilriRVFen
cg.subject.ilriZOONOTIC DISEASESen
dc.contributor.authorGachohi, John M.en
dc.contributor.authorBett, Bernard K.en
dc.date.accessioned2015-03-29T15:35:35Zen
dc.date.available2015-03-29T15:35:35Zen
dc.identifier.urihttps://hdl.handle.net/10568/63505
dc.titleRift Valley fever: Influence of herd immunity patterns on transmission dynamicsen
dcterms.abstractIntroduction Rift Valley fever virus (RVFV) transmission gets elevated following periods of excessive and persistent rainfall. The average inter-epizootic period in Kenya has been estimated to be 3.6 years (range 1–7 years). It is presumed that herd immunity plays an important role in modifying the length of these intervals given that the risk of an epidemic intensifies when herd immunity is low. The objective of this study was to evaluate the relationship between herd immunity and RVFV transmission dynamics. Materials and Methods We developed a model to simulate RVFV transmission dynamics. The model comprises 2 vectors (Aedes and Culex spp.) and 2-hosts (cattle and sheep). Vector population dynamics are driven by precipitation obtained from Tropical Rainfall Measuring Mission (TRMM) while those of hosts are parameterized based on socio-economic data obtained from empirical studies conducted in Ijara, Kenya. Simulations are implemented for the period: 1st January 2005 and 23rd June 2010 in an attempt to predict the recent 2006/7 outbreak and other seasonal transmissions that occur during wet seasons. Results The model reproduces the 2006/7 RVF outbreak and predicts a high herd immunity level at the end of that outbreak, with 90% of sheep and 72% of cattle being immune. This immunity wanes overtime, declining to 18% in sheep and 42% in cattle by the end of the simulation period (~4 years). The rate of decline is higher in sheep relative to cattle probably due to the greater population turnover associated with higher fecundity rate, off take, replacement rate and shorter lifespan. These analyses also show that seasonal/inter-annual transmissions boost herd immunity. Preventing these transmissions leads to a reduction in herd immunity levels (10.9% in sheep and 30.6% in cattle) by the end of the simulation period. These inter-annual transmissions might be responsible for sustaining herd immunity over time especially when there are no external shocks associated with droughts, migration and tribal animosities. Conclusions and Recommendations This is the first study to utilize a simulation model to demonstrate the impacts of RVF immunity on RVF transmission and it has huge potentials for use in evaluation of cost-effectiveness of vaccination campaigns.en
dcterms.accessRightsOpen Accessen
dcterms.audienceScientistsen
dcterms.bibliographicCitationGachohi, J. and Bett, B. 2015. Rift Valley fever: Influence of herd immunity patterns on transmission dynamics. Presented at the Regional Conference on Zoonotic Diseases in Eastern Africa, Naivasha, Kenya, 9-12 March 2015. Nairobi, Kenya: ILRI.en
dcterms.issued2015-03-09en
dcterms.languageenen
dcterms.subjectanimal diseasesen
dcterms.subjectzoonosesen
dcterms.typePresentationen

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