Towards models of infection transmission dynamics
Pig herd management and infection transmission dynamics: a challenge for modellers.
Recommendation: posted 09 February 2024, validated 09 February 2024
Letourneau Montminy, M. (2024) Towards models of infection transmission dynamics. Peer Community in Animal Science, 100198. 10.24072/pci.animsci.100198
Epidemics such as PRRSv-like virus in pig farms has tremendous impact on the competitiveness of swine production. However, its control requires an understanding of the complex interaction between pathogen transmission, disease impact, population dynamics and management. By using mechanistic epidemiological modelling, Sicard et al. (2023) open up a very interesting field of possibilities. This article describes work aimed at assessing the consequences of infections, taking into account the interaction between clinical outcomes and population dynamics. This study shows how this interaction can influence transmission dynamics at the herd level. It highlights the need to further explore this direction, integrating both disease impacts in breeding practices and structural changes in population dynamics, such as pig crossbreeding and grouping methodologies.
The provision of a new tool making it possible to model herd management practices and the transmission of a virus, such as PRRS, in time and space is a major contribution to understanding the dynamics of this category of diseases. It opens up the possibility of being able to represent specific herd structures and evaluate transmission dynamics using real data. This work improves our understanding of disease spread across herds, taking into account herd management.
Sicard V, Picault S, Andraud M (2023) Pig herd management and infection transmission dynamics: a challenge for modellers. bioRxiv, 2023.05.17.541128. ver. 2 peer-reviewed and recommended by Peer Community in Animal Science. https://doi.org/10.1101/2023.05.17.541128
The recommender in charge of the evaluation of the article and the reviewers declared that they have no conflict of interest (as defined in the code of conduct of PCI) with the authors or with the content of the article. The authors declared that they comply with the PCI rule of having no financial conflicts of interest in relation to the content of the article.
INRAE (Animal Health Division), French Region Pays de la Loire
Evaluation round #1
DOI or URL of the preprint: https://doi.org/10.1101/2023.05.17.541128
Version of the preprint: 1
Author's Reply, 18 Dec 2023
Decision by Marie-Pierre Letourneau Montminy, posted 20 Sep 2023, validated 21 Sep 2023
Dear Vianney Sicard,
Thank you for submitting your manuscript to PCI Animal Science.
Your submission has been reviewed by two independent reviewers who found merit in your work. They provided feedback to improve the manuscript.
I invite you to submit a revised version of your manuscript addressing the comments of the reviewers.
Marie-Pierre Letourneau Montminy