Patterns of foot-and-mouth disease virus detection in environmental samples in an endemic setting.

Bayesian analysis disease modeling endemic FMD environment viral RNA detection

Journal

Frontiers in veterinary science
ISSN: 2297-1769
Titre abrégé: Front Vet Sci
Pays: Switzerland
ID NLM: 101666658

Informations de publication

Date de publication:
2023
Historique:
received: 02 02 2023
accepted: 29 05 2023
medline: 3 7 2023
pubmed: 3 7 2023
entrez: 3 7 2023
Statut: epublish

Résumé

Foot-and-Mouth Disease virus (FMDV) is endemic in several regions and is a virus that can persist in the environment dependent on pH, relative humidity (RH), temperature, and matrix (i.e., soil, water, or air). Our previously published analysis of available viral persistence data showed that persistence is likely affected by interactions between RH, temperature, and matrix. Understanding these relationships will aid efforts to eliminate FMD, which has significant impacts on economies and food security. In Cameroon, West Africa, the livestock system consists of mobile (transhumant), transboundary trade and sedentary herds. Studying this system can provide information about the patterns of environmental detection of FMDV RNA that may influence approaches to virus elimination on premises during an outbreak. To improve our understanding of these patterns, we collected samples from individuals, vehicles, and along cattle pathways at three sedentary herds beginning on day one of owner-reported outbreaks, ending by day 30, and tested for the presence of FMD viral RNA using rRT-PCR. Our analysis suggests that detection decreases in soil surface samples with increased distance from herd and time from the first report of disease. Whereas time but not distance decreases detection in air samples. Interaction of RH and temperature suggests increased detection at high temperatures (>24°C) and RH (>75%), providing us with new information about the patterns of FMD viral RNA detection in and around cattle herds that could help to inform targeted virus elimination strategies, such as location and application of disinfectants.

Identifiants

pubmed: 37396995
doi: 10.3389/fvets.2023.1157538
pmc: PMC10312077
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1157538

Informations de copyright

Copyright © 2023 Mielke, Lendzele, Delgado, Abdoulmoumini, Dickmu and Garabed.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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Auteurs

Sarah R Mielke (SR)

Department of Veterinary Preventive Medicine, The Ohio State University College of Veterinary Medicine, Columbus, OH, United States.
United States Department of Agriculture's Animal and Plant Health Inspection Service (APHIS), Fort Collins, CO, United States.

Sevidzem Lendzele (S)

Transmissible Diseases Ecology Laboratory, Department of Environmental Health, Faculty of Technology and Health Management, Université Libreville Nord, Libreville, Gabon.

Amy H Delgado (AH)

United States Department of Agriculture's Animal and Plant Health Inspection Service (APHIS), Fort Collins, CO, United States.

Mamoudou Abdoulmoumini (M)

School of Veterinary Science and Medicine, University of Ngaoundéré, Ngaoundéré, Adamawa, Cameroon.

Simon Dickmu (S)

The National Veterinary Laboratory (LANAVET), Garoua North, Cameroon.
University of Bamenda, Bambili, Cameroon.

Rebecca Garabed (R)

Department of Veterinary Preventive Medicine, The Ohio State University College of Veterinary Medicine, Columbus, OH, United States.

Classifications MeSH