Evidence map›Paper›PMID 33028388›Full record

ArticleVirology journal2020

African swine fever in the Lithuanian wild boar population in 2018: a snapshot.

Arnoldas Pautienius, Katja Schulz, Christoph Staubach, Juozas Grigas, Ruta Zagrabskaite, Jurate Buitkuviene, Rolandas Stankevicius, Zaneta Streimikyte, Vaidas Oberauskas, Dainius Zienius and 3 more

Open access · goldAbstract read
In one paragraph

Article in Virology journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
3.8field-weighted citation impact, top 7% 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

15 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Eleven Years of Health Monitoring in Wild Boars (Animals : an open access journal from MDPI · 2023
    Article
  7. Article
  8. Dynamics of the African Swine Fever Spread in Poland.Journal of veterinary research · 2022
    Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Review
  15. Article
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

13 authors at 2 institutions in 2 countries.

Arnoldas PautieniusImmunology Laboratory, Department of Anatomy and Physiology, Faculty of Veterinary Medicine, Lithuanian University of Health Sciences, Tilzes Str. 18, Kaunas, Lithuania.
Katja SchulzFriedrich-Loeffler-Institut, Federal Research Institute for Animal Health, Institute of Epidemiology, Südufer 10, 17493, Greifswald-Insel Riems, Germany. Katja.Schulz@fli.de.ORCID 0000-0003-1816-6554
Christoph StaubachFriedrich-Loeffler-Institut, Federal Research Institute for Animal Health, Institute of Epidemiology, Südufer 10, 17493, Greifswald-Insel Riems, Germany.
Juozas GrigasImmunology Laboratory, Department of Anatomy and Physiology, Faculty of Veterinary Medicine, Lithuanian University of Health Sciences, Tilzes Str. 18, Kaunas, Lithuania.
Ruta ZagrabskaiteNational Food and Veterinary Risk Assessment Institute, J. Kairiukscio Str. 10, Vilnius, Lithuania.
Jurate BuitkuvieneNational Food and Veterinary Risk Assessment Institute, J. Kairiukscio Str. 10, Vilnius, Lithuania.
Rolandas StankeviciusDepartment of Animal Breeding and Nutrition, Faculty of Animal Husbandry Technology, Lithuanian University of Health Sciences, Tilzes Str. 18, Kaunas, Lithuania.
Zaneta StreimikyteFaculty of Veterinary Medicine, Institute of Microbiology and Virology, Lithuanian University of Health Sciences, Tilzes Str. 18, Kaunas, Lithuania.
Vaidas OberauskasImmunology Laboratory, Department of Anatomy and Physiology, Faculty of Veterinary Medicine, Lithuanian University of Health Sciences, Tilzes Str. 18, Kaunas, Lithuania.
Dainius ZieniusFaculty of Veterinary Medicine, Institute of Microbiology and Virology, Lithuanian University of Health Sciences, Tilzes Str. 18, Kaunas, Lithuania.
Algirdas SalomskasDepartment of Pathobiology, Faculty of Veterinary Medicine, Lithuanian University of Health Sciences, Tilzes Str. 18, Kaunas, Lithuania.
Carola Sauter-LouisFriedrich-Loeffler-Institut, Federal Research Institute for Animal Health, Institute of Epidemiology, Südufer 10, 17493, Greifswald-Insel Riems, Germany.
Arunas StankeviciusImmunology Laboratory, Department of Anatomy and Physiology, Faculty of Veterinary Medicine, Lithuanian University of Health Sciences, Tilzes Str. 18, Kaunas, Lithuania.
Lithuanian University of Health Sciences · LTFriedrich-Loeffler-Institut · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The first cases of African swine fever (ASF) were detected in the Lithuanian wild boar population in 2014. Since then, the disease spread slowly through the whole country, affecting both, wild boar and domestic pigs. In the other Baltic states, which both are also affected by ASF since 2014, the recent course of ASF prevalence suggests that the countries might be well under way of disease elimination. In contrast, in Lithuania the epidemic seems to be still in full progress. In the present study, we aimed to extend a previous prevalence study in Lithuania. Looking at ASF virus (ASFV) and seroprevalence estimates of wild boar in all months of 2018 and in all affected municipalities in Lithuania, the course of ASF was evaluated on a temporal and spatial scale. A non-spatial beta-binomial model was used to correct for under- or overestimation of the average prevalence estimates. Within 2018 no big differences between the prevalence estimates were seen over time. Despite of the lower sample size, highest ASFV prevalence estimates were found in dead wild boar, suggesting higher detection rates through passive surveillance than through active surveillance. Accordingly, with the maximum prevalence of 87.5% in May 2018, the ASFV prevalence estimates were very high in wild boar found dead. The number of samples originating from hunted animals (active surveillance) predominated clearly. However, the ASFV prevalence in those animals was lower with a maximum value of 2.1%, emphasizing the high value of passive surveillance. A slight increase of the seroprevalence in hunted wild boar could be seen over time. In the center of Lithuania, a cluster of municipalities with high ASFV and seroprevalence estimates was found. The results of the study indicate that ASFV is still circulating within the Lithuanian wild boar population, constituting a permanent risk of disease transmission into domestic pig holdings. However, additional, more recent data analyses are necessary to re-evaluate the course of ASF in Lithuania and thus, to be able to make a statement about the stage of the ASF epidemic in the country. This is of huge importance for Lithuania for evaluating control measures and their efficacy, but also for neighbouring countries to assess the risk of disease spread from Lithuania.

Indexed as

African Swine FeverAfrican Swine Fever VirusAnimalsEpidemiological MonitoringLithuaniaPrevalenceSus scrofaSwineAfrican swine fever virusPrevalenceSurveillanceWild boar

Identifiers

PMID33028388
PMCPMC7542886
OpenAlexW3092318997

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.