4.6 Article

Inter-Epidemic and Between-Season Persistence of Rift Valley Fever: Vertical Transmission or Cryptic Cycling?

Journal

TRANSBOUNDARY AND EMERGING DISEASES
Volume 62, Issue 1, Pages 13-23

Publisher

WILEY
DOI: 10.1111/tbed.12082

Keywords

Rift Valley fever; vertical transmission; inter-epidemic persistence; African buffalo; mathematical model; seasonal variation; mosquito-borne disease; wildlife

Funding

  1. Newcomb Fellows Research Grant at Tulane University
  2. NIH/NIGMS [1U01GM097661-01]
  3. NSF/MPS/DMS [DMS-1122666]
  4. Morris Animal Foundation Fellowship
  5. National Science Foundation award NSF EID [DEB-1102493/EF-0723928, DEB-0723928]
  6. Direct For Biological Sciences
  7. Division Of Environmental Biology [1102493] Funding Source: National Science Foundation
  8. Direct For Mathematical & Physical Scien
  9. Division Of Mathematical Sciences [1122666] Funding Source: National Science Foundation

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Rift Valley fever (RVF) is an emerging zoonotic mosquito-borne infectious disease that has been identified as a risk for spread to other continents and can cause mass livestock mortality. In equatorial Africa, outbreaks of RVF are associated with high rainfall, when vector populations are at their highest. It is, however, unclear how RVF virus persists during the inter-epidemic periods and between seasons. Understanding inter-epidemic persistence as well as the role of vectors and hosts is paramount to creating effective management programmes for RVF control. We created a mathematical model for the spread of RVF and used the model to explore different scenarios of persistence including vertical transmission and alternate wildlife hosts, with a case study on buffalo in Kruger National Park, South Africa. Our results suggest that RVF persistence is a delicate balance between numerous species of susceptible hosts, mosquito species, vertical transmission and environmental stochasticity. Further investigations should not focus on a single species, but should instead consider a myriad of susceptible host species when seeking to understand disease dynamics.

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