Evidence map›Paper›PMID 31118049›Full record

ArticleBMC veterinary research2019

Risk analysis of African swine fever in Poland based on spatio-temporal pattern and Latin hypercube sampling, 2014-2017.

Yi Lu, Xiaojun Deng, Jiahui Chen, Jianying Wang, Qin Chen, Bing Niu

Open access · goldAbstract read
In one paragraph

Article in BMC veterinary research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
7.0field-weighted citation impact, top 3% 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

21 citing papers in PubMed, 39 citations in OpenAlex.

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  12. Temporal and Spatial Evolution of the African Swine Fever Epidemic in Vietnam.International journal of environmental research and public health · 2022
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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

6 authors at 2 institutions in 1 country.

Yi LuSchool of Life Sciences, Shanghai University, Shanghai, 200444, China.
Xiaojun DengTechnology Center for Animal, Plant and Food Inspection and Quarantine, Shanghai Entry Exit Inspect and Quarantine Bur, Shanghai, 200135, China.
Jiahui ChenSchool of Life Sciences, Shanghai University, Shanghai, 200444, China.
Jianying WangSchool of Life Sciences, Shanghai University, Shanghai, 200444, China.
Qin ChenSchool of Life Sciences, Shanghai University, Shanghai, 200444, China. chenqincc@staff.shu.edu.cn.
Bing NiuSchool of Life Sciences, Shanghai University, Shanghai, 200444, China. bingniu@shu.edu.cn.ORCID http://orcid.org/0000-0001-7528-9855
Shanghai University · CNEntry Exit Inspection and Quarantine Bureau · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAfrican swine fever (ASF) is a devastating infectious disease of pigs. ASF poses a potential threat to the world pig industry, due to the lack of vaccines and treatments. In this study, the Geographic Information System (GIS) spatial analysis was applied to analyze the distribution, dispersion of the epidemic and clustering of ASF in Poland.

resultsThe results show that the center of the epidemic moved gradually towards the southwest, and the distribution of the epidemic changed from south-north to east-west. Through space-time scan statistical analysis, the 3 clusters major of wild boar cases involve longer time spans and larger radii, while the other five with higher relative risks involved in domestic pigs. And then, a quantitative model was constructed to analyse the risk of releasing African swine fever virus (ASFV) from Poland by the legal export of pork and pork products. The Latin hypercube sampling results show that the probability is relatively low (the average value is 4.577 × 10

conclusionsAll the identification of the spatio-temporal patterns of the epidemic and the risk analysis model would give a further understanding of the dynamics of disease transmission and help to design corresponding measures to minimize the catastrophic consequences of potential ASFV introduction.

Indexed as

Models, StatisticalAfrican Swine FeverAnimalsPolandRisk AssessmentSpatio-Temporal AnalysisSwineAfrican swine feverLatin hypercube samplingRisk analysisSpace-time scan statisticalStandard deviation ellipse

Identifiers

PMID31118049
PMCPMC6532167
OpenAlexW2946844513

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.