Evidence map›Paper›PMID 36855366›Full record

ArticleVeterinary world2023

Dairy farmers' knowledge, attitudes, and practices regarding the brucellosis surveillance and control program in Bogor, Indonesia.

Heris Kustiningsih, Etih Sudarnika, Chaerul Basri, Mirnawati Sudarwanto

Abstract read
In one paragraph

Article in Veterinary world, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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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

7 citing papers in PubMed.

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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

4 authors.

Heris KustiningsihAnimal Health Training Center, Ministry of Agriculture Republic Indonesia, Cinagara, Bogor 16740, Indonesia.
Etih SudarnikaDepartment of Animal Disease and Veterinary Public Health, School of Veterinary Medicine and Biomedical Science, IPB University, Bogor 16680, Indonesia.
Chaerul BasriDepartment of Animal Disease and Veterinary Public Health, School of Veterinary Medicine and Biomedical Science, IPB University, Bogor 16680, Indonesia.
Mirnawati SudarwantoDepartment of Animal Disease and Veterinary Public Health, School of Veterinary Medicine and Biomedical Science, IPB University, Bogor 16680, Indonesia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aim: Brucellosis is an infectious and zoonotic disease that affects people's health and the economy in most countries. Brucellosis is still prevalent in several Indonesian regions. This study aimed to analyze the correlation between the characteristics, knowledge, attitudes, and practices (KAP) of dairy farmers in Bogor District in supporting brucellosis control and surveillance programs. Materials and Methods: The study was cross-sectional. Data were collected through interviews with 151 dairy farmers in Bogor Regency, West Java, Indonesia. The outcome is brucellosis surveillance and control practice among dairy farmers, and the variables include individual characteristics, knowledge, and attitudes toward brucellosis surveillance and control. Descriptive analysis and path analysis were used in statistical analysis. Results: The majority of farmers' knowledge, attitudes and practices were moderate, with the percentages 67.55%, 60.92%, and 41.72% respectively. Formal education, training, and dairy rising length are variables that have a direct and significant impact on knowledge level. Knowledge is the variable that influences the overall level of attitude. Age, knowledge, and attitude are factors that influence the practice of brucellosis surveillance and control. Conclusion: Although the practice level of brucellosis surveillance and control for dairy farmers in Bogor Regency is moderate, efforts to improve it are still required. The basic effort is critical for increasing farmers' knowledge.

Indexed as

brucellosis controldairy cattleknowledgesurveillance

Identifiers

PMID36855366
PMCPMC9967706

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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.