Evidence map›Paper›PMID 39293425›Full record

ArticleThe American journal of tropical medicine and hygiene2024

Assessment of Risk Factors Associated with and Practices of Cattle Farmers in Kirehe District Rwanda with Respect to Vector-Borne and Zoonotic Pathogens.

M Fausta Dutuze, Analisa Espino, Rebecca C Christofferson

Abstract read
In one paragraph

Article in The American journal of tropical medicine and hygiene, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Article
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

3 authors.

M Fausta DutuzeRwanda Institute for Conservation Agriculture, Kigali, Rwanda.
Analisa EspinoMilken School of Public Health, George Washington University, Washington, District of Columbia.
Rebecca C ChristoffersonSchool of Veterinary Medicine, Louisiana State University, Baton Rouge, Louisiana.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rural Rwandan communities face health challenges for humans and animals, and the topography and climate of the Kirehe District of Rwanda put farmers at high risk for mosquito-borne diseases. Individuals from 92 Rwandan farms were surveyed about farm practices, as well as animal and human health histories between December 2017 and February 2018. Human, animal, and environmental factors were investigated to determine whether there is a pattern of risk for abortion incidence and/or history of malarial disease on the farm. Iterative, complementary logistic regression models were used to determine whether there was an association between variables and abortion history in animals. These factors were then used to investigate association with a reported history of malaria. Of the 92 farms in our study, 82 were family farms and 10 were commercial farms. On average, 88% of the farms had cattle, and 30% of farms had experienced a cattle abortion in the past 2 years. There was no observed statistical significance in the risk factors for history of abortion in cattle and the measured variables. Using One Health as a guiding framework, we sought to determine whether human, animal, and environmental factors were statistically associated with observed disease outcomes. From our study of the practices of the farmers with respect to biosafety and self-protection against disease, we have identified potential sources of risk that could be targeted to enhance education and protection on these farms.

Indexed as

FarmersZoonosesAbortion, VeterinaryAdultAnimal HusbandryAnimalsCattleCattle DiseasesFarmsFemaleHumansMalariaMaleMosquito VectorsRisk FactorsRwanda

Identifiers

PMID39293425
PMCPMC11619507

What OpenQuestion holds

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Registered trials

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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.