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Modelling the spatial spread of H7N1 avian influenza virus among poultry farms in Italy

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TLDR
Analysis of the between-farm transmission of the H7N1 highly pathogenic avian influenza virus that disrupted the Italian poultry production in the 1999-2000 epidemic with a SEIR model with a spatial transmission kernel found significant differences in susceptibility between species and a reduction in transmissibility after the first phase.
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This article is published in Epidemics.The article was published on 2010-03-01 and is currently open access. It has received 30 citations till now. The article focuses on the topics: Influenza A virus subtype H5N1 & Culling.

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Emergence of a Highly Pathogenic Avian Influenza Virus from a Low-Pathogenic Progenitor

TL;DR: The data generated in this study provide the most complete evolutionary and phylogeographic analysis of epidemiologically intertwined high- and low-pathogenicity viruses undertaken to date and highlight the importance of implementing prompt eradication measures against LPAI to prevent the appearance of viruses with fitness advantages and unpredictable pathogenic properties.
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Transmission dynamics of brucellosis: Mathematical modelling and applications in China.

TL;DR: A systematic review on the transmission dynamics of brucellosis including a series of mathematical models and their applications in China revealed the spatial-temporal characteristics and effective control measures of bru cellosis transmission.
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Spatial transmission of H5N2 highly pathogenic avian influenza between Minnesota poultry premises during the 2015 outbreak.

TL;DR: The spatial spread of highly pathogenic avian influenza (HPAI) H5N2 during the 2015 outbreak in the U.S. state of Minnesota was analyzed through the estimation of a spatial transmission kernel, which quantifies the infection hazard an infectious premises poses to an uninfected premises some given distance away.
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An avian-only Filippov model incorporating culling of both susceptible and infected birds in combating avian influenza.

TL;DR: A Filippov avian-only model with culling of susceptible and/or infected birds is introduced, suggesting that the spread of avian influenza in bird populations is tolerable if the trajectories converge to the equilibrium point that lies in the region below the threshold level.
References
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Journal ArticleDOI

A new look at the statistical model identification

TL;DR: In this article, a new estimate minimum information theoretical criterion estimate (MAICE) is introduced for the purpose of statistical identification, which is free from the ambiguities inherent in the application of conventional hypothesis testing procedure.

Numerical recipes in C

TL;DR: The Diskette v 2.06, 3.5''[1.44M] for IBM PC, PS/2 and compatibles [DOS] Reference Record created on 2004-09-07, modified on 2016-08-08.

ANew Look at the Statistical Model Identification

TL;DR: In this paper, the authors reviewed the history of statistical hypothesis testing in time series analysis and pointed out that the hypothesis testing procedure is not adequately defined as the procedure for statistical model identification.
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Evolution and ecology of influenza A viruses.

TL;DR: Wild aquatic bird populations have long been considered the natural reservoir for influenza A viruses with virus transmission from these birds seeding other avian and mammalian hosts, but recent studies in bats have suggested other reservoir species may also exist.
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