Evidence map›Paper›PMID 31453184›Full record

ArticleJournal of advanced veterinary and animal research2019

Risk assessment on rabies entry through hunting dog movement with semi-quantitative approach to Sumatera Island, Indonesia.

Amanatin Amanatin, Etih Sudarnika, Denny Widaya Lukman, I Wayan Teguh Wibawan

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Article in Journal of advanced veterinary and animal research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Amanatin AmanatinVeterinary Public Health, Veterinary Medicine Faculty, Graduate School of Bogor Agricultural University, Bogor, West Java, Indonesia.
Etih SudarnikaDepartment of Animal Disease and Veterinary Public Health, Veterinary Medicine Faculty, Bogor Agricultural University, Bogor, West Java, Indonesia.
Denny Widaya LukmanDepartment of Animal Disease and Veterinary Public Health, Veterinary Medicine Faculty, Bogor Agricultural University, Bogor, West Java, Indonesia.
I Wayan Teguh WibawanDepartment of Animal Disease and Veterinary Public Health, Veterinary Medicine Faculty, Bogor Agricultural University, Bogor, West Java, Indonesia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe objective of this study was to assess the risk of rabies entry through the movement of hunting dog from Garut District to Sumatera Island with a semi-quantitative approach. MATERIALS AND

methodsRabies entry assessment used the standard risk analysis according to the World Organization for Animal Health, with a semi-quantitative approach referring to Australian Biosecurity. Risk estimation calculation used Microsoft Excel and probabilities were estimated using Monte Carlo stochastic simulation modeling with @Risk (Palisade Corporation).

resultsRisk estimation were considered as "very low" with a 0.02 (90%; 0.01-0.03) probability. The probability of undetected rabies-infected dog during Veterinary Certificate issuance [node probability (NP4)] was considered as the highest, with "moderate" likelihood and 0.63 (90%; 0.51-0.75) of probability value. The number of dog movement to Sumatera reached 27,000 heads per year which 5,050 heads of them come from Garut District. There were 2 of 100 dogs from Garut District entered to Sumatera possibly infected by rabies. The five highest parameters most determinant of the risk were dog vaccination before transported (0.66), dog obtained from other District (0.41), vaccination program (0.32), serologically test (0.27), and history of vaccination (0.23).

conclusionRisk estimation from assessing on rabies entry to Sumatera through hunting dogs movement from Garut District was considered "very low." Risk mitigation is focused on the highest parameters that contribute the most to risk based on the results of the sensitivity analysis. Semi-quantitative likelihood evaluations can consider the volume of dog traffic which is an important issue in risk analysis which is not easy to get with a simpler qualitative approach.

Indexed as

Assessmentdograbiessemi-quantitative

Identifiers

PMID31453184
PMCPMC6702887

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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.