Evidence map›Paper›PMID 32944161›Full record

ArticleInfection ecology & epidemiology2020

Risk factors for

Eithne Leahy, Rajeswari Shome, Ram Pratim Deka, Swati Sahay, Delia Grace, Stella Mazeri, Johanna F Lindahl

Open access · goldAbstract read
In one paragraph

Article in Infection ecology & epidemiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 2 pooled it
0.7field-weighted citation impact, top 28% 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

6 citing papers in PubMed, 2 syntheses or guidelines pooled it, 8 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Review
  6. Review
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 4 institutions in 6 countries.

Eithne LeahyRoyal (Dick) School of Veterinary Studies, The University of Edinburgh, Edinburgh, Scotland, UK.
Rajeswari ShomeDepartment ofAgricultural Research, ICAR- National Institute of Veterinary Epidemiology and Disease Informatics (ICAR-NIVEDI), Bengaluru, India.
Ram Pratim DekaDepartment of Agricultural Research, International Livestock Research Institute, Guwahati, Assam, India.
Swati SahayDepartment ofAgricultural Research, ICAR- National Institute of Veterinary Epidemiology and Disease Informatics (ICAR-NIVEDI), Bengaluru, India.
Delia GraceDepartment ofAgricultural Research, International Livestock Research Institute (ILRI), Nairobi, Kenya.
Stella MazeriRoyal (Dick) School of Veterinary Studies, The University of Edinburgh, Edinburgh, Scotland, UK.
Johanna F LindahlInternational Livestock Research Institute, Southeast Asia Regional Office, Hanoi, Vietnam.ORCID https://orcid.org/0000-0002-1175-0398
National Institute Of Veterinary Epidemiology And Disease Informatics · INUniversity of Edinburgh · GBInternational Livestock Research Institute · KEUppsala University · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Small ruminants are the main reservoirs for brucellosis and coxiellosis, two zoonotic diseases affecting livestock production, and posing a public health threat in India. Understanding disease prevalence and risk factors associated with small ruminant infection can help mitigate disease transmission. We report a cross-sectional survey in the states of Assam and Odisha in Eastern India. We interviewed 244 farmers to assess knowledge, attitude and practices relevant to brucellosis and coxiellosis infection. Serum samples from 411 goats and 21 sheep were analysed using enzyme-linked immunosorbent assay and Rose-Bengal

Indexed as

BrucellosiscoxiellosisQ-feverrisk factorsseroprevalencezoonoses

Identifiers

PMID32944161
PMCPMC7480416
OpenAlexW3037683844

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.