Evidence map›Paper›PMID 34921513›Full record

SynthesisTransboundary and emerging diseases2022

Re-parameterization of a mathematical model of African horse sickness virus using data from a systematic literature search.

Emma L Fairbanks, Marnie L Brennan, Peter P C Mertens, Michael J Tildesley, Janet M Daly

Open access · hybridAbstract readSystematic Review
In one paragraph

Synthesis 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, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 13% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  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

5 authors at 2 institutions in 1 country.

Emma L FairbanksSchool of Veterinary Medicine and Science, University of Nottingham, Nottingham, UK.ORCID https://orcid.org/0000-0002-1598-962X
Marnie L BrennanSchool of Veterinary Medicine and Science, University of Nottingham, Nottingham, UK.
Peter P C MertensSchool of Veterinary Medicine and Science, University of Nottingham, Nottingham, UK.
Michael J TildesleyThe Zeeman Institute for Systems Biology & Infectious Disease Epidemiology Research, School of Life Sciences and Mathematics Institute, University of Warwick, Coventry, UK.
Janet M DalySchool of Veterinary Medicine and Science, University of Nottingham, Nottingham, UK.ORCID https://orcid.org/0000-0002-1912-4500
University of Nottingham · GBUniversity of Warwick · GB

Funding

BBSRC 1944283Biotechnology and Biological Sciences Research Council BBS/E/I/00001144Biotechnology and Biological Sciences Research Council BBS/E/I/00001446EU H2020 727293 PALE-Blu
6 · The paper itself

Abstract

African horse sickness (AHS) is a vector-borne disease transmitted by Culicoides spp., endemic to sub-Saharan Africa. There have been many examples of historic and recent outbreaks in the Middle East, Asia and Europe. However, not much is known about infection dynamics and outbreak potential in these naive populations. In order to better inform a previously published ordinary differential equation model, we performed a systematic literature search to identify studies documenting experimental infection of naive (control) equids in vaccination trials. Data on the time until the onset of viraemia, clinical signs and death after experimental infection of a naive equid and duration of viraemia were extracted. The time to viraemia was 4.6 days and the time to clinical signs was 4.9 days, longer than the previously estimated latent period of 3.7 days. The infectious periods of animals that died/were euthanized or survived were found to be 3.9 and 8.7 days, whereas previous estimations were 4.4 and 6 days, respectively. The case fatality was also found to be higher than previous estimations. The updated parameter values (along with other more recently published estimates from literature) resulted in an increase in the number of host deaths, decrease in the duration of the outbreak and greater prevalence in vectors.

Indexed as

African Horse SicknessAfrican Horse Sickness VirusCeratopogonidaeHorse DiseasesAnimalsHorsesModels, TheoreticalViremiaAfrican horse sicknessmathematical modelvector-borne disease

Identifiers

PMID34921513
PMCPMC9543668
OpenAlexW4200416342

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.