nerc.ac.uk

Livestock host composition rather than land use or climate explains spatial patterns in bluetongue disease in South India

Chanda, M.M.; Carpenter, S.; Prasad, G.; Sedda, L.; Henrys, P.A.; Gajendragad, M.R.; Purse, B.V.. 2019 Livestock host composition rather than land use or climate explains spatial patterns in bluetongue disease in South India. Scientific Reports, 9, 4229. 15, pp. https://doi.org/10.1038/s41598-019-40450-8

Before downloading, please read NORA policies.
[img]
Preview
Text
N522641JA.pdf - Published Version
Available under License Creative Commons Attribution 4.0.

Download (4MB) | Preview

Abstract/Summary

Culicoides-borne arboviruses of livestock impair animal health, livestock production and livelihoods worldwide. As these arboviruses are multi-host, multi-vector systems, predictions to improve targeting of disease control measures require frameworks that quantify the relative impacts of multiple abiotic and biotic factors on disease patterns. We develop such a framework to predict long term (1992–2009) average patterns in bluetongue (BT), caused by bluetongue virus (BTV), in sheep in southern India, where annual BT outbreaks constrain the livelihoods and production of small-holder farmers. In Bayesian spatial general linear mixed models, host factors outperformed landscape and climate factors as predictors of disease patterns, with more BT outbreaks occurring on average in districts with higher densities of susceptible sheep breeds and buffalo. Since buffalo are resistant to clinical signs of BT, this finding suggests they are a source of infection for sympatric susceptible sheep populations. Sero-monitoring is required to understand the role of buffalo in maintaining BTV transmission and whether they must be included in vaccination programs to protect sheep adequately. Landscape factors, namely the coverage of post-flooding, irrigated and rain-fed croplands, had weak positive effects on outbreaks. The intimate links between livestock host, vector composition and agricultural practices in India require further investigation at the landscape scale.

Item Type: Publication - Article
Digital Object Identifier (DOI): https://doi.org/10.1038/s41598-019-40450-8
CEH Sections/Science Areas: Biodiversity (Science Area 2017-)
Soils and Land Use (Science Area 2017-)
ISSN: 2045-2322
Additional Information. Not used in RCUK Gateway to Research.: Open Access paper - full text available via Official URL link.
Additional Keywords: ecological epidemiology, ecological modelling
NORA Subject Terms: Biology and Microbiology
Date made live: 25 Mar 2019 12:08 +0 (UTC)
URI: http://nora.nerc.ac.uk/id/eprint/522641

Actions (login required)

View Item View Item

Document Downloads

Downloads for past 30 days

Downloads per month over past year

More statistics for this item...