Literature DB >> 23098257

Modelling vertical transmission in vector-borne diseases with applications to Rift Valley fever.

Nakul Chitnis1, James M Hyman, Carrie A Manore.   

Abstract

We present two ordinary differential equation models for Rift Valley fever (RVF) transmission in cattle and mosquitoes. We extend existing models for vector-borne diseases to include an asymptomatic host class and vertical transmission in vectors. We define the basic reproductive number, ℛ(0), and analyse the existence and stability of equilibrium points. We compute sensitivity indices of ℛ(0) and a reactivity index (that measures epidemicity) to parameters for baseline wet and dry season values. ℛ(0) is most sensitive to the mosquito biting and death rates. The reactivity index is most sensitive to the mosquito biting rate and the infectivity of hosts to vectors. Numerical simulations show that even with low equilibrium prevalence, increases in mosquito densities through higher rainfall, in the presence of vertical transmission, can result in large epidemics. This suggests that vertical transmission is an important factor in the size and persistence of RVF epidemics.

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Year:  2013        PMID: 23098257      PMCID: PMC4260360          DOI: 10.1080/17513758.2012.733427

Source DB:  PubMed          Journal:  J Biol Dyn        ISSN: 1751-3758            Impact factor:   2.179


  31 in total

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Authors:  P van den Driessche; James Watmough
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2.  On the definition and the computation of the basic reproduction ratio R0 in models for infectious diseases in heterogeneous populations.

Authors:  O Diekmann; J A Heesterbeek; J A Metz
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3.  Rift Valley fever in West Africa: the role of space in endemicity.

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4.  The control of vector-borne disease epidemics.

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Journal:  J Theor Biol       Date:  2008-07-30       Impact factor: 2.691

5.  Rift Valley fever in Kenya: history of epizootics and identification of vulnerable districts.

Authors:  R M Murithi; P Munyua; P M Ithondeka; J M Macharia; A Hightower; E T Luman; R F Breiman; M Kariuki Njenga
Journal:  Epidemiol Infect       Date:  2010-05-18       Impact factor: 2.451

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Authors:  V Martin; V Chevalier; P Ceccato; A Anyamba; L De Simone; J Lubroth; S de La Rocque; J Domenech
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Review 7.  Rift Valley fever.

Authors:  G H Gerdes
Journal:  Rev Sci Tech       Date:  2004-08       Impact factor: 1.181

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Authors:  Michel Pepin; Michele Bouloy; Brian H Bird; Alan Kemp; Janusz Paweska
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10.  A network-based meta-population approach to model Rift Valley fever epidemics.

Authors:  Ling Xue; H Morgan Scott; Lee W Cohnstaedt; Caterina Scoglio
Journal:  J Theor Biol       Date:  2012-05-04       Impact factor: 2.691

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  20 in total

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2.  Environmental limits of Rift Valley fever revealed using ecoepidemiological mechanistic models.

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4.  Comparing dengue and chikungunya emergence and endemic transmission in A. aegypti and A. albopictus.

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5.  Towards a Hybrid Agent-based Model for Mosquito Borne Disease.

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Journal:  Summer Comput Simul Conf (2014)       Date:  2014-07

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7.  A Stochastic Model to Study Rift Valley Fever Persistence with Different Seasonal Patterns of Vector Abundance: New Insights on the Endemicity in the Tropical Island of Mayotte.

Authors:  Lisa Cavalerie; Maud V P Charron; Pauline Ezanno; Laure Dommergues; Betty Zumbo; Eric Cardinale
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8.  Modeling the impact of climate change on the dynamics of Rift Valley Fever.

Authors:  Saul C Mpeshe; Livingstone S Luboobi; Yaw Nkansah-Gyekye
Journal:  Comput Math Methods Med       Date:  2014-03-30       Impact factor: 2.238

9.  Stability, bifurcation and chaos analysis of vector-borne disease model with application to Rift Valley fever.

Authors:  Sansao A Pedro; Shirley Abelman; Frank T Ndjomatchoua; Rosemary Sang; Henri E Z Tonnang
Journal:  PLoS One       Date:  2014-10-01       Impact factor: 3.240

10.  Data-driven modeling to assess receptivity for Rift Valley Fever virus.

Authors:  Christopher M Barker; Tianchan Niu; William K Reisen; David M Hartley
Journal:  PLoS Negl Trop Dis       Date:  2013-11-14
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