Literature DB >> 34330315

Predicting temperature-dependent transmission suitability of bluetongue virus in livestock.

Fadoua El Moustaid1,2, Zorian Thornton3,4,5,6, Hani Slamani3,4, Sadie J Ryan7,8,9, Leah R Johnson10,11,12,13.   

Abstract

The transmission of vector-borne diseases is governed by complex factors including pathogen characteristics, vector-host interactions, and environmental conditions. Temperature is a major driver for many vector-borne diseases including Bluetongue viral (BTV) disease, a midge-borne febrile disease of ruminants, notably livestock, whose etiology ranges from mild or asymptomatic to rapidly fatal, thus threatening animal agriculture and the economy of affected countries. Using modeling tools, we seek to predict where the transmission can occur based on suitable temperatures for BTV. We fit thermal performance curves to temperature-sensitive midge life-history traits, using a Bayesian approach. We incorporate these curves into S(T), a transmission suitability metric derived from the disease's basic reproductive number, [Formula: see text] This suitability metric encompasses all components that are known to be temperature-dependent. We use trait responses for two species of key midge vectors, Culicoides sonorensis and Culicoides variipennis present in North America. Our results show that outbreaks of BTV are more likely between 15[Formula: see text] C and [Formula: see text], with predicted peak transmission risk at 26 [Formula: see text] C. The greatest uncertainty in S(T) is associated with the following: the uncertainty in mortality and fecundity of midges near optimal temperature for transmission; midges' probability of becoming infectious post-infection at the lower edge of the thermal range; and the biting rate together with vector competence at the higher edge of the thermal range. We compare three model formulations and show that incorporating thermal curves into all three leads to similar BTV risk predictions. To demonstrate the utility of this modeling approach, we created global suitability maps indicating the areas at high and long-term risk of BTV transmission, to assess risk and to anticipate potential locations of disease establishment.
© 2021. The Author(s).

Entities:  

Keywords:  Bayesian analysis; Bluetongue virus; Disease modeling; Temperature; Transmission; Vector-borne diseases

Mesh:

Substances:

Year:  2021        PMID: 34330315      PMCID: PMC8323090          DOI: 10.1186/s13071-021-04826-y

Source DB:  PubMed          Journal:  Parasit Vectors        ISSN: 1756-3305            Impact factor:   3.876


  27 in total

1.  The construction of next-generation matrices for compartmental epidemic models.

Authors:  O Diekmann; J A P Heesterbeek; M G Roberts
Journal:  J R Soc Interface       Date:  2009-11-05       Impact factor: 4.118

Review 2.  Culicoides biting midges: their role as arbovirus vectors.

Authors:  P S Mellor; J Boorman; M Baylis
Journal:  Annu Rev Entomol       Date:  2000       Impact factor: 19.686

Review 3.  Re-emergence of bluetongue, African horse sickness, and other orbivirus diseases.

Authors:  N James Maclachlan; Alan J Guthrie
Journal:  Vet Res       Date:  2010-01-27       Impact factor: 3.683

Review 4.  Culicoides variipennis and bluetongue-virus epidemiology in the United States.

Authors:  W J Tabachnick
Journal:  Annu Rev Entomol       Date:  1996       Impact factor: 19.686

Review 5.  Bluetongue transmission and control in Europe: A systematic review of compartmental mathematical models.

Authors:  Noémie Courtejoie; Gina Zanella; Benoît Durand
Journal:  Prev Vet Med       Date:  2018-05-24       Impact factor: 2.670

6.  Temperature explains broad patterns of Ross River virus transmission.

Authors:  Marta Strecker Shocket; Sadie J Ryan; Erin A Mordecai
Journal:  Elife       Date:  2018-08-28       Impact factor: 8.140

Review 7.  Thermal biology of mosquito-borne disease.

Authors:  Erin A Mordecai; Jamie M Caldwell; Marissa K Grossman; Catherine A Lippi; Leah R Johnson; Marco Neira; Jason R Rohr; Sadie J Ryan; Van Savage; Marta S Shocket; Rachel Sippy; Anna M Stewart Ibarra; Matthew B Thomas; Oswaldo Villena
Journal:  Ecol Lett       Date:  2019-07-08       Impact factor: 9.492

8.  Warming temperatures could expose more than 1.3 billion new people to Zika virus risk by 2050.

Authors:  Sadie J Ryan; Colin J Carlson; Blanka Tesla; Matthew H Bonds; Calistus N Ngonghala; Erin A Mordecai; Leah R Johnson; Courtney C Murdock
Journal:  Glob Chang Biol       Date:  2020-10-28       Impact factor: 10.863

9.  Complete coding genome sequence of putative novel bluetongue virus serotype 27.

Authors:  Maria Jenckel; Emmanuel Bréard; Claudia Schulz; Corinne Sailleau; Cyril Viarouge; Bernd Hoffmann; Dirk Höper; Martin Beer; Stéphan Zientara
Journal:  Genome Announc       Date:  2015-03-12

10.  Global distribution data for cattle, buffaloes, horses, sheep, goats, pigs, chickens and ducks in 2010.

Authors:  Marius Gilbert; Gaëlle Nicolas; Giusepina Cinardi; Thomas P Van Boeckel; Sophie O Vanwambeke; G R William Wint; Timothy P Robinson
Journal:  Sci Data       Date:  2018-10-30       Impact factor: 6.444

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  1 in total

Review 1.  Scaling effects of temperature on parasitism from individuals to populations.

Authors:  Devin Kirk; Mary I O'Connor; Erin A Mordecai
Journal:  J Anim Ecol       Date:  2022-08-09       Impact factor: 5.606

  1 in total

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