Literature DB >> 26174420

Identifying main drivers and testing control strategies for CCHFV spread.

T Hoch1,2, E Breton3,4, M Josse3,4, A Deniz5, E Guven6, Z Vatansever7.   

Abstract

Crimean Congo Haemorrhagic Fever (CCHF) is an emerging zoonotic disease. The causative agent is a virus (CCHFV), mainly transmitted by ticks of the species Hyalomma marginatum in Eastern Europe and Turkey. In order to test potential scenarios for the control of pathogen spread, the basic reproduction number (R0) for CCHF was calculated. This calculation was based on a population dynamics model and parameter values from the literature for pathogen transmission. The tick population dynamics model takes into account the major processes involved and gives estimates for tick survival from one stage to the other and number of feeding ticks. It also considers the influence of abiotic (meteorological variables) and biotic factors (host densities) on model outputs, which were compared with data collected in Central Anatolia (Turkey). R0 computation was thereafter used to test control strategies and especially the effect of acaricide treatment. Simulation results indicate that such treatments could have valuable effects provided that the acaricide is applied regularly throughout the spring and summer, and over several years. Furthermore, a sensitivity analysis to abiotic and biotic factors showed that, even though temperature has a strong impact on model outputs, host (mainly hare) densities also play a role. The kind of model we have developed provides insight into the ability of different strategies to prevent and control disease spread and has proved its relevance when associated with field trials.

Entities:  

Keywords:  Acaricide; Basic reproduction number; CCHF; Hyalomma marginatum; Modelling; Sensitivity analysis

Mesh:

Year:  2015        PMID: 26174420     DOI: 10.1007/s10493-015-9937-9

Source DB:  PubMed          Journal:  Exp Appl Acarol        ISSN: 0168-8162            Impact factor:   2.132


  18 in total

1.  A brief history of R0 and a recipe for its calculation.

Authors:  J A P Heesterbeek
Journal:  Acta Biotheor       Date:  2002       Impact factor: 1.774

2.  Modelling the transmission dynamics of Theileria annulata: model structure and validation for the Turkish context.

Authors:  A J Sutton; T Karagenc; S Bakirci; H Sarali; G Pekel; G F Medley
Journal:  Parasitology       Date:  2012-02-06       Impact factor: 3.234

Review 3.  Possible drivers of Crimean-Congo hemorrhagic fever virus transmission in Kosova.

Authors:  Lisa J Jameson; Naser Ramadani; Jolyon M Medlock
Journal:  Vector Borne Zoonotic Dis       Date:  2012-01-04       Impact factor: 2.133

4.  A dynamic population model to investigate effects of climate on geographic range and seasonality of the tick Ixodes scapularis.

Authors:  N H Ogden; M Bigras-Poulin; C J O'Callaghan; I K Barker; L R Lindsay; A Maarouf; K E Smoyer-Tomic; D Waltner-Toews; D Charron
Journal:  Int J Parasitol       Date:  2005-04-01       Impact factor: 3.981

5.  Transmission of Crimean-Congo hemorrhagic fever virus in two species of Hyalomma ticks from infected adults to cofeeding immature forms.

Authors:  S W Gordon; K J Linthicum; J R Moulton
Journal:  Am J Trop Med Hyg       Date:  1993-04       Impact factor: 2.345

6.  A population model to describe the distribution and seasonal dynamics of the tick Hyalomma marginatum in the Mediterranean Basin.

Authors:  A Estrada-Peña; M Martínez Avilés; M J Muñoz Reoyo
Journal:  Transbound Emerg Dis       Date:  2011-01-12       Impact factor: 5.005

Review 7.  The impact of Crimean-Congo hemorrhagic fever virus on public health.

Authors:  Marc Mertens; Katja Schmidt; Aykut Ozkul; Martin H Groschup
Journal:  Antiviral Res       Date:  2013-02-28       Impact factor: 5.970

8.  Factors driving the circulation and possible expansion of Crimean-Congo haemorrhagic fever virus in the western Palearctic.

Authors:  A Estrada-Peña; F Ruiz-Fons; P Acevedo; C Gortazar; J de la Fuente
Journal:  J Appl Microbiol       Date:  2012-11-07       Impact factor: 3.772

9.  A model to test how ticks and louping ill virus can be controlled by treating red grouse with acaricide.

Authors:  R Porter; R A Norman; L Gilbert
Journal:  Med Vet Entomol       Date:  2012-10-23       Impact factor: 2.739

Review 10.  Crimean-Congo haemorrhagic fever.

Authors:  Onder Ergönül
Journal:  Lancet Infect Dis       Date:  2006-04       Impact factor: 25.071

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  2 in total

Review 1.  A chronological review of experimental infection studies of the role of wild animals and livestock in the maintenance and transmission of Crimean-Congo hemorrhagic fever virus.

Authors:  Jessica R Spengler; Agustín Estrada-Peña; Aura R Garrison; Connie Schmaljohn; Christina F Spiropoulou; Éric Bergeron; Dennis A Bente
Journal:  Antiviral Res       Date:  2016-10-03       Impact factor: 5.970

2.  Systematic Review on Crimean-Congo Hemorrhagic Fever Enzootic Cycle and Factors Favoring Virus Transmission: Special Focus on France, an Apparently Free-Disease Area in Europe.

Authors:  Célia Bernard; Philippe Holzmuller; Madiou Thierno Bah; Matthieu Bastien; Benoit Combes; Ferran Jori; Vladimir Grosbois; Laurence Vial
Journal:  Front Vet Sci       Date:  2022-07-19
  2 in total

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