Public Health Benefits from Livestock Rift Valley Fever Control: A Simulation of Two Epidemics in Kenya

dc.contributor.authorKimani, Tabitha et.al
dc.date.accessioned2021-07-02T09:21:06Z
dc.date.accessioned2024-09-11T08:41:39Z
dc.date.available2021-07-02T09:21:06Z
dc.date.available2024-09-11T08:41:39Z
dc.date.issued2016-11
dc.description.abstractIn controlling Rift Valley fever, public health sector optimises health benefits by considering costeffective control options.Wemodelled cost-effectiveness of livestock RVF control from a public health perspective in Kenya. Analysis was limited to pastoral and agro-pastoral system high-risk areas, for a 10-year period incorporating two epidemics: 2006/2007 and a hypothetical one in 2014/2015. Four integrated strategies (baseline and alternatives), combined from three vaccination and two surveillance options, were compared. Baseline strategy included annual vaccination of 1.2–11% animals plus passive surveillance and monitoring of nine sentinel herds. Compared to the baseline, two alternatives assumed improved vaccination coverage. A herd dynamic RVF animal simulation model produced number of animals infected under each strategy. A second mathematical model implemented in R estimated number people who would be infected by the infected animals. The 2006/2007 RVF epidemic resulted in 3974 undiscounted, unweighted disability adjusted life years (DALYs). Improving vaccination coverage to 41–51% (2012) and 27–33% (2014) 3 years before the hypothetical 2014/2015 outbreak can avert close to 1200 DALYs. Improved vaccinations showed cost-effectiveness (CE) values of US$ 43–53 per DALY averted. The baseline practice is not cost-effective to the public health sector.en_US
dc.identifier.urihttp://172.16.31.117:4000/handle/123456789/2640
dc.language.isoenen_US
dc.publisherOpen Access Library Journalen_US
dc.subjectLivestock Rift Valley Fever Controlen_US
dc.titlePublic Health Benefits from Livestock Rift Valley Fever Control: A Simulation of Two Epidemics in Kenyaen_US
dc.typeArticleen_US

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