Estimating transmission dynamics of African swine fever virus from experimental studies

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Estimating transmission dynamics of African swine fever virus from experimental studies. / Main, Alastair Ronald; Halasa, Tariq; Olesen, Ann Sofie; Lohse, Louise; Rasmussen, Thomas Bruun; Belsham, Graham J.; Boklund, Anette; Bøtner, Anette; Christiansen, Lasse Engbo.

I: Transboundary and Emerging Diseases, Bind 69, Nr. 6, 2022, s. 3858-3867.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Main, AR, Halasa, T, Olesen, AS, Lohse, L, Rasmussen, TB, Belsham, GJ, Boklund, A, Bøtner, A & Christiansen, LE 2022, 'Estimating transmission dynamics of African swine fever virus from experimental studies', Transboundary and Emerging Diseases, bind 69, nr. 6, s. 3858-3867. https://doi.org/10.1111/tbed.14757

APA

Main, A. R., Halasa, T., Olesen, A. S., Lohse, L., Rasmussen, T. B., Belsham, G. J., Boklund, A., Bøtner, A., & Christiansen, L. E. (2022). Estimating transmission dynamics of African swine fever virus from experimental studies. Transboundary and Emerging Diseases, 69(6), 3858-3867. https://doi.org/10.1111/tbed.14757

Vancouver

Main AR, Halasa T, Olesen AS, Lohse L, Rasmussen TB, Belsham GJ o.a. Estimating transmission dynamics of African swine fever virus from experimental studies. Transboundary and Emerging Diseases. 2022;69(6):3858-3867. https://doi.org/10.1111/tbed.14757

Author

Main, Alastair Ronald ; Halasa, Tariq ; Olesen, Ann Sofie ; Lohse, Louise ; Rasmussen, Thomas Bruun ; Belsham, Graham J. ; Boklund, Anette ; Bøtner, Anette ; Christiansen, Lasse Engbo. / Estimating transmission dynamics of African swine fever virus from experimental studies. I: Transboundary and Emerging Diseases. 2022 ; Bind 69, Nr. 6. s. 3858-3867.

Bibtex

@article{a8075db8edf6426e9f652902bea14d66,
title = "Estimating transmission dynamics of African swine fever virus from experimental studies",
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.",
keywords = "African swine fever, maximum likelihood, transmission",
author = "Main, {Alastair Ronald} and Tariq Halasa and Olesen, {Ann Sofie} and Louise Lohse and Rasmussen, {Thomas Bruun} and Belsham, {Graham J.} and Anette Boklund and Anette B{\o}tner and Christiansen, {Lasse Engbo}",
note = "Publisher Copyright: {\textcopyright} 2022 The Authors. Transboundary and Emerging Diseases published by Wiley-VCH GmbH.",
year = "2022",
doi = "10.1111/tbed.14757",
language = "English",
volume = "69",
pages = "3858--3867",
journal = "Transboundary and Emerging Diseases",
issn = "1865-1674",
publisher = "Wiley-Blackwell",
number = "6",

}

RIS

TY - JOUR

T1 - Estimating transmission dynamics of African swine fever virus from experimental studies

AU - Main, Alastair Ronald

AU - Halasa, Tariq

AU - Olesen, Ann Sofie

AU - Lohse, Louise

AU - Rasmussen, Thomas Bruun

AU - Belsham, Graham J.

AU - Boklund, Anette

AU - Bøtner, Anette

AU - Christiansen, Lasse Engbo

N1 - Publisher Copyright: © 2022 The Authors. Transboundary and Emerging Diseases published by Wiley-VCH GmbH.

PY - 2022

Y1 - 2022

N2 - 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.

AB - 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.

KW - African swine fever

KW - maximum likelihood

KW - transmission

U2 - 10.1111/tbed.14757

DO - 10.1111/tbed.14757

M3 - Journal article

C2 - 36346271

AN - SCOPUS:85142765185

VL - 69

SP - 3858

EP - 3867

JO - Transboundary and Emerging Diseases

JF - Transboundary and Emerging Diseases

SN - 1865-1674

IS - 6

ER -

ID: 327682267