Retrospective Characterization of the 2006-2007 Swine Vesicular Disease Epidemic in Northern Italy by Whole Genome Sequence Analysis.
Italy
epidemiological tracing
outbreak investigation
phylodynamics
swine vesicular disease
transmission tree
Journal
Viruses
ISSN: 1999-4915
Titre abrégé: Viruses
Pays: Switzerland
ID NLM: 101509722
Informations de publication
Date de publication:
22 06 2021
22 06 2021
Historique:
received:
21
05
2021
revised:
15
06
2021
accepted:
18
06
2021
entrez:
2
7
2021
pubmed:
3
7
2021
medline:
15
12
2021
Statut:
epublish
Résumé
Advances in the epidemiological tracing of pathogen transmission have been largely driven by the increasing characterisation of whole-genome sequence data obtained at a finer resolution from infectious disease outbreaks. Dynamic models that integrate genomic and epidemiological data further enhance inference on the evolutionary history and transmission dynamics of epidemic outbreaks by reconstructing the network of 'who-infected-whom'. Swine Vesicular Disease (SVD) was present in Italy from 1966 until 2015, and since the mid-1990s, it has mainly been circulating within Italy's central-southern regions with sporadic incursions to the north of the country. However, a recrudescence of SVD in northern Italy was recorded between November 2006 and October 2007, leading to a large-scale epidemic that significantly affected the intensive pig industry of the Lombardy region. In this study, by using whole-genome sequence data in combination with epidemiological information on disease occurrences, we report a retrospective epidemiological investigation of the 2006-2007 SVD epidemic, providing new insights into the transmission dynamics and evolutionary mode of the two phases that characterised the epidemic event. Our analyses support evidence of undetected premises likely missed in the chain of observed infections, of which the role as the link between the two phases is reinforced by the tempo of SVD virus evolution. These silent transmissions, likely resulting from the gradual loss of a clear SVD clinical manifestation linked to sub-clinical infections, may pose a risk of failure in the early detection of new cases. This study emphasises the power of joint inference schemes based on genomic and epidemiological data integration to inform the transmission dynamics of disease epidemics, ultimately aimed at better disease control.
Identifiants
pubmed: 34206208
pii: v13071186
doi: 10.3390/v13071186
pmc: PMC8310173
pii:
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Références
J Math Biol. 2008 Mar;56(3):391-412
pubmed: 17874105
Mol Biol Evol. 2020 Jan 1;37(1):295-299
pubmed: 31504749
Viruses. 2020 Nov 20;12(11):
pubmed: 33233870
Vet Microbiol. 1995 Jul;45(2-3):243-50
pubmed: 7571375
Syst Biol. 2003 Oct;52(5):696-704
pubmed: 14530136
PLoS One. 2013 May 07;8(5):e62878
pubmed: 23667534
Nature. 1968 Sep 21;219(5160):1275-6
pubmed: 4300317
Annu Rev Virol. 2015 Nov;2(1):161-79
pubmed: 26958911
Mol Biol Evol. 2021 Mar 9;38(3):1184-1198
pubmed: 33064823
Mol Biol Evol. 2005 May;22(5):1185-92
pubmed: 15703244
BMC Bioinformatics. 2018 Oct 22;19(Suppl 11):363
pubmed: 30343663
Epidemiol Infect. 1997 Feb;118(1):51-61
pubmed: 9042035
Virus Evol. 2018 Jun 08;4(1):vey016
pubmed: 29942656
PLoS Curr. 2009 Sep 02;1:RRN1031
pubmed: 20029613
Nat Methods. 2012 Jul 30;9(8):772
pubmed: 22847109
Syst Biol. 2018 Sep 1;67(5):901-904
pubmed: 29718447
Evol Med Public Health. 2015 Oct 27;2015(1):289-303
pubmed: 26508717
Mol Biol Evol. 2013 Apr;30(4):772-80
pubmed: 23329690
PLoS Biol. 2006 May;4(5):e88
pubmed: 16683862
Rev Sci Tech. 2010 Dec;29(3):639-48
pubmed: 21309461
Curr Opin Virol. 2018 Feb;28:20-25
pubmed: 29107838
Rev Sci Tech. 2007 Dec;26(3):585-93
pubmed: 18293607
Vet Rec. 1972 May 27;90(22):618-21
pubmed: 4342148
Vet Rec. 2007 Jul 14;161(2):71
pubmed: 17630426