Evidence map›Paper›PMID 36346271›Full record

ArticleTransboundary and emerging diseases2022

Estimating transmission dynamics of African swine fever virus from experimental studies.

Alastair Ronald Main, Tariq Halasa, Ann Sofie Olesen, Louise Lohse, Thomas Bruun Rasmussen, Graham J Belsham, Anette Boklund, Anette Bøtner, Lasse Engbo Christiansen

Abstract read
In one paragraph

Article in Transboundary and emerging diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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

5 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Article
  5. 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

9 authors.

Alastair Ronald MainDynamical, Systems, Department of Applied Mathematics and Computer Science, Technical University of Denmark, Lyngby, Denmark.ORCID https://orcid.org/0000-0002-9203-7091
Tariq HalasaSection of Animal Welfare and Disease Control, Department of Veterinary and Animal Sciences, University of Copenhagen, Copenhagen, Denmark.
Ann Sofie OlesenSection of Veterinary Virology, Department of Virus & Microbiological Special Diagnostics, Statens Serum Institut, Copenhagen, Denmark.
Louise LohseSection of Veterinary Virology, Department of Virus & Microbiological Special Diagnostics, Statens Serum Institut, Copenhagen, Denmark.
Thomas Bruun RasmussenSection of Veterinary Virology, Department of Virus & Microbiological Special Diagnostics, Statens Serum Institut, Copenhagen, Denmark.
Graham J BelshamSection of Veterinary Clinical Microbiology, Department of Veterinary and Animal Sciences, University of Copenhagen, Copenhagen, Denmark.ORCID https://orcid.org/0000-0003-1187-4873
Anette BoklundSection of Animal Welfare and Disease Control, Department of Veterinary and Animal Sciences, University of Copenhagen, Copenhagen, Denmark.
Anette BøtnerSection of Veterinary Clinical Microbiology, Department of Veterinary and Animal Sciences, University of Copenhagen, Copenhagen, Denmark.
Lasse Engbo ChristiansenDynamical, Systems, Department of Applied Mathematics and Computer Science, Technical University of Denmark, Lyngby, Denmark.

Funding

Danish Ministry of Environment and Food and the Technical University of Denmark
6 · The paper itself

Abstract

African swine fever virus (ASFV) continues to spread across the world, and currently, there are no treatments or vaccines available to combat this virus. Reliable estimates of transmission parameters for ASFV are therefore needed to establish effective contingency plans. This study used data from controlled ASFV inoculations of pigs to assess the transmission parameters. Three models were developed with (binary, piecewise-linear and exponential) time-dependent levels of infectiousness based on latency periods of 3-5 days derived from the analysis of 294 ethylenediamine tetraacetic acid-stabilized blood samples originating from 16 pigs with direct and 10 pigs with indirect contact to 8 inoculated pigs. The models were evaluated for three different discrete latency periods of infection. The likelihood ratio test showed that a binary model had an equally good fit for a latency period of 4 or 5 days as the piecewise-linear and exponential model. However, for a latency period of 3 days, the piecewise-linear and exponential models had the best fit. The modelling was done in discrete time as testing was conducted on specific days. The main contribution of this study is the estimation of ASFV genotype II transmission through the air in a confined space. The estimated transmission parameters via air are not much lower than for direct contact between pigs. The estimated parameters should be useful for future simulations of control measures against ASFV.

Indexed as

African Swine FeverAfrican Swine Fever VirusSwine DiseasesAnimalsGenotypeSwineAfrican swine fevermaximum likelihoodtransmission

Identifiers

PMID36346271
PMCPMC10098825

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.