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1.
Viruses ; 15(2)2023 01 29.
Artículo en Inglés | MEDLINE | ID: mdl-36851602

RESUMEN

Bayesian space-time regression models are helpful tools to describe and predict the distribution of infectious disease outbreaks and to delineate high-risk areas for disease control. In these models, structured and unstructured spatial and temporal effects account for various forms of non-independence amongst case counts across spatial units. Structured spatial effects capture correlations in case counts amongst neighboring provinces arising from shared risk factors or population connectivity. For highly mobile populations, spatial adjacency is an imperfect measure of connectivity due to long-distance movement, but we often lack data on host movements. Phylogeographic models inferring routes of viral dissemination across a region could serve as a proxy for patterns of population connectivity. The objective of this study was to investigate whether the effects of population connectivity in space-time regressions of case counts were better captured by spatial adjacency or by inferences from phylogeographic analyses. To compare these two approaches, we used foot-and-mouth disease virus (FMDV) outbreak data from across Vietnam as an example. We identified that accounting for virus movement through phylogeographic analysis serves as a better proxy for population connectivity than spatial adjacency in spatial-temporal risk models. This approach may contribute to design surveillance activities in countries lacking movement data.


Asunto(s)
Fiebre Aftosa , Animales , Fiebre Aftosa/epidemiología , Vietnam/epidemiología , Teorema de Bayes , Filogeografía , Brotes de Enfermedades
2.
Viruses ; 13(11)2021 11 02.
Artículo en Inglés | MEDLINE | ID: mdl-34835007

RESUMEN

The genetic diversity of foot-and-mouth disease virus (FMDV) poses a challenge to the successful control of the disease, and it is important to identify the emergence of different strains in endemic settings. The objective of this study was to evaluate the sampling of clinically healthy livestock at slaughterhouses as a strategy for genomic FMDV surveillance. Serum samples (n = 11,875) and oropharyngeal fluid (OPF) samples (n = 5045) were collected from clinically healthy cattle and buffalo on farms in eight provinces in southern and northern Vietnam (2015-2019) to characterize viral diversity. Outbreak sequences were collected between 2009 and 2019. In two slaughterhouses in southern Vietnam, 1200 serum and OPF samples were collected from clinically healthy cattle and buffalo (2017 to 2019) as a pilot study on the use of slaughterhouses as sentinel points in surveillance. FMDV VP1 sequences were analyzed using discriminant principal component analysis and time-scaled phylodynamic trees. Six of seven serotype-O and -A clusters circulating in southern Vietnam between 2017-2019 were detected at least once in slaughterhouses, sometimes pre-dating outbreak sequences associated with the same cluster by 4-6 months. Routine sampling at slaughterhouses may provide a timely and efficient strategy for genomic surveillance to identify circulating and emerging FMDV strains.


Asunto(s)
Mataderos , Enfermedades de los Bovinos/epidemiología , Virus de la Fiebre Aftosa/genética , Fiebre Aftosa/epidemiología , Genómica , Animales , Búfalos , Bovinos , Enfermedades de los Bovinos/virología , Brotes de Enfermedades/veterinaria , Fiebre Aftosa/virología , Ganado , Epidemiología Molecular , Orofaringe/virología , Proyectos Piloto , Serogrupo , Vietnam/epidemiología
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