Evidence map›Paper›PMID 30862821›Full record

ArticleScientific reports2019

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

M M Chanda, S Carpenter, G Prasad, L Sedda, P A Henrys, M R Gajendragad, B V Purse

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
4.7field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 34 citations in OpenAlex.

  1. Pooled it
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 5 institutions in 2 countries.

M M ChandaICAR-National Institute of Veterinary Epidemiology and Disease Informatics, Bengaluru, India.ORCID 0000-0002-5727-8658
S CarpenterThe Pirbright Institute, Ash Road, Woking, Surrey, GU24 0NF, UK.
G PrasadSardar Vallabhbhai Patel University of Agriculture and Technology, NH 58, Roorkee Road, Modipuram, Meerut, 250110, India.
L SeddaCentre for Health Information, Computation and Statistics (CHICAS), Lancaster Medical School, Faculty of Health and Medicine, Furness Building, Lancaster University, Lancaster, LA1 4YG, UK.
P A HenrysCentre for Ecology and Hydrology, Lancaster Environment Centre, Bailrigg, Lancaster, LA1 4AP, UK.
M R GajendragadICAR-National Institute of Veterinary Epidemiology and Disease Informatics, Bengaluru, India.
B V PurseCentre for Ecology and Hydrology, Benson Lane, Crowmarsh Gifford, Oxfordshire, OX10 8BB, UK. beth@ceh.ac.uk.ORCID 0000-0001-5140-2710
National Institute Of Veterinary Epidemiology And Disease Informatics · INUK Centre for Ecology & Hydrology · GBLancaster University · GBSardar Vallabhbhai Patel University of Agriculture & Technology · INThe Pirbright Institute · GB

Funding

Biotechnology and Biological Sciences Research Council BB/H009167/1Biotechnology and Biological Sciences Research Council BB/H009205/1Biotechnology and Biological Sciences Research Council BBS/E/I/00007036Biotechnology and Biological Sciences Research Council BBS/E/I/00007038
6 · The paper itself

Abstract

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.

Indexed as

BluetongueBluetongue virusDisease OutbreaksAnimalsBuffaloesIndiaLivestockModels, BiologicalSeroepidemiologic StudiesSheep

Identifiers

PMID30862821
PMCPMC6414662
OpenAlexW2920860431

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.