Evidence map›Paper›PMID 42109810›Full record

ArticleEFSA journal. European Food Safety Authority2015

African swine fever.

EFSA Panel on Animal Health and Welfare (AHAW)

Abstract read
In one paragraph

Article in EFSA journal. European Food Safety Authority, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 1 pooled it
–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

42 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

1 author.

EFSA Panel on Animal Health and Welfare (AHAW)

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since entering the eastern EU at the start of 2014, African swine fever (ASF) has spread locally in the wild boar population, independently of outbreaks in domestic pigs. No correlation between the density of the wild boar population and the case notification in an area has been observed. The source of virus introduction appeared to be the low biosecurity level in backyard farms; yet, direct contact between pigs and wild boar has not been reported. Potential wild boar management strategies aimed at controlling ASF were evaluated. First, the published literature was searched for evidence of changes in wild boar demography after implementing different management strategies. A reduction in a wild boar population of more than 60 % as a result of conventional hunting has not been documented in Europe. Secondly, during a consultation meeting, 30 experts identified different wild boar management tools to indirectly combat ASF spread. In the third step, an epidemiological simulation model was developed, to compare the effects of implementing individual or combinations of management tools to control ASF. The model demonstrated that measures such as attempts to reduce the wild boar populations more than 70 % would, in theory, be effective in controlling ASF, but in practice would impossible to be achieved in one hunting season. On the other hand, conventional management strategies, such as implementing a feeding ban or targeted hunting of females, can effectively prevent the spread of ASF in the control area only after multiple years of application. The model predicted that a combination of different tools, such as the exclusion of contact to carcasses and the intensification of conventional hunting, reducing reproduction in the following year by 30-40%, would be effective to stop the spread of ASF in wild boar.

Indexed as

African swine feverepidemiologymanagement strategieswild boar

Identifiers

PMID42109810
PMCPMC13151619

What OpenQuestion holds

Textmetadata
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.