Evidence map›Paper›PMID 35733347›Full record

ArticleVeterinary medicine and science2022

Early-phase risk assessments during the first epidemic year of African swine fever outbreaks in Vietnamese pigs.

Ngan Thi Mai, Le Anh Tuyen, Le Van Truong, Le Thi My Huynh, Pham Thi Lan Huong, Vu Duc Hanh, Vu Viet Anh, Nguyen Xuan Hoa, Tran Quang Vui, Satoshi Sekiguchi

Open access · goldAbstract read
In one paragraph

Article in Veterinary medicine and science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
2.4field-weighted citation impact, top 12% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

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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

10 authors at 4 institutions in 3 countries.

Ngan Thi MaiDepartment of Veterinary Microbiology and Infectious Diseases, Faculty of Veterinary Medicine, Vietnam National University of Agriculture, Hanoi, Vietnam.
Le Anh TuyenDepartment of Veterinary Microbiology and Infectious Diseases, Faculty of Veterinary Medicine, Vietnam National University of Agriculture, Hanoi, Vietnam.
Le Van TruongDepartment of Veterinary Microbiology and Infectious Diseases, Faculty of Veterinary Medicine, Vietnam National University of Agriculture, Hanoi, Vietnam.
Le Thi My HuynhDepartment of Veterinary Microbiology and Infectious Diseases, Faculty of Veterinary Medicine, Vietnam National University of Agriculture, Hanoi, Vietnam.
Pham Thi Lan HuongDepartment of Pharmacology, Toxicology, Internal Medicine and Diagnostics, Faculty of Veterinary Medicine, Vietnam National University of Agriculture, Hanoi, Vietnam.
Vu Duc HanhDepartment of Veterinary Anatomy, Histology and Embryology, Faculty of Veterinary Medicine, Vietnam National University of Agriculture, Hanoi, Vietnam.
Vu Viet AnhCentral Laboratory, Faculty of Animal Science, Vietnam National University of Agriculture, Hanoi, Vietnam.ORCID 0000-0001-6243-2579
Nguyen Xuan HoaDepartment of Veterinary Medicine, Faculty of Animal Husbandry and Veterinary Medicine, Hue University of Agriculture and Forestry, Hue, Vietnam.
Tran Quang VuiDepartment of Veterinary Medicine, Faculty of Animal Husbandry and Veterinary Medicine, Hue University of Agriculture and Forestry, Hue, Vietnam.
Satoshi SekiguchiCenter for Animal Disease Control, University of Miyazaki, Miyazaki, Japan.ORCID 0000-0003-2066-128X
Vietnam National University of Agriculture · VNHue University · VNNational Institute of Animal Sciences · VNUniversity of Miyazaki · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAfrican swine fever (ASF) is a notifiable viral disease of pigs and wild boars that could lead to serious economic losses for the swine industry.

objectivesThe aim of this study was to identify risk factors in the early phase of ASF outbreaks in Vietnamese swine herds during the first epidemic year.

methodsThe period of interest for this case-control study was February to July 2019. A questionnaire was administered in northern Vietnam where all early cases of ASF were reported. Producers of herds with reported cases were asked to provide information starting from the day of onset of clinical signs as well as 30 days prior to that day. The period of interest for controls was within the 6 months of the first outbreak in Vietnam (February 2019). Questionnaires included 55 questions; responses were received from 67 cases and 115 controls. Logistic regression analysis was used to identify factors associated with ASF status.

resultsThirty-seven variables of interest (among a total of 55 variables) were associated with ASF status in univariate analysis (p < 0.05). These 37 variables were assessed for inclusion in the multivariate analysis by backward stepwise selection. Six variables remained significant as ASF risk factors in the final model: distance to farm within 500 m, distance of irrigation systems within 200 m, total number of pigs (≤500), absence of dressing rooms for workers/visitors before entering the farm, poor hygienic practices for people within the farm, and poor hygienic practices at pig loading/unloading locations.

conclusionsThese results may help in understanding the epidemiology of ASF in Vietnam and provide a scientific basis for optimization of current interventions and development of new tools and strategies to reduce transmission of ASF.

Indexed as

African Swine FeverAfrican Swine Fever VirusSwine DiseasesAnimalsAsian PeopleCase-Control StudiesDisease OutbreaksHumansRisk AssessmentSwineVietnamASFcase-control studyepidemicrisk factorsVietnam

Identifiers

PMID35733347
PMCPMC9514500
OpenAlexW4283327995

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.