Literature DB >> 19569476

Use of infrared thermography to detect thermographic changes in mule deer (Odocoileus hemionus) experimentally infected with foot-and-mouth disease.

Mike R Dunbar1, Shylo R Johnson, Jack C Rhyan, Matt McCollum.   

Abstract

Infrared thermography (IRT) measures the heat emitted from a surface, displays that information as a pictorial representation called a thermogram, and is capable of being a remote, noninvasive technology that provides information on the health of an animal. Foot-and-mouth disease (FMD) caused by FMD virus (FMDV) is a severe, highly communicable viral disease of cloven-hoofed animals, including both domestic and wild ruminants. Early detection of the disease may reduce economic loss and loss of susceptible wildlife. The objective of this study was to evaluate the use of IRT to detect possible heat changes associated with sites of infection with FMDV in experimentally infected mule deer (Odocoileus hemionus). Infection occurred through either inoculation with FMDV or exposure to inoculated animals. Early vesicular lesions were observed on the mouth, feet, or both within 24 hrs postinoculation and 48-96 hrs post-exposure. From internal temperature sensors, the exposed animals' body temperatures elevated significantly from the pre-infection temperature (38.8 degrees C, P < or = 0.002) starting the day before any lesions were observed. Body temperature was also found not to be significantly different from eye temperatures of well-focused thermograms. For feet thermograms, the mean of the daily maximum (MMAX) foot temperature rose significantly (P = 0.017) from two days before (27.3 degrees C +/- 1.9 degrees C SE) to the maximum MMAX observed (33.0 degrees C +/- 2.0 degrees C SE) at two days after the first foot lesion occurrence. These observed changes indicate that IRT may be a rapid, remote, and noninvasive method to screen for suspect animals in order to test further for FMDV infection during an FMD outbreak.

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Year:  2009        PMID: 19569476     DOI: 10.1638/2008-0087.1

Source DB:  PubMed          Journal:  J Zoo Wildl Med        ISSN: 1042-7260            Impact factor:   0.776


  8 in total

Review 1.  A Review of Non-Invasive Sampling in Wildlife Disease and Health Research: What's New?

Authors:  Anna-Katarina Schilling; Maria Vittoria Mazzamuto; Claudia Romeo
Journal:  Animals (Basel)       Date:  2022-07-02       Impact factor: 3.231

2.  Normal variation in thermal radiated temperature in cattle: implications for foot-and-mouth disease detection.

Authors:  John Gloster; Katja Ebert; Simon Gubbins; John Bashiruddin; David J Paton
Journal:  BMC Vet Res       Date:  2011-11-21       Impact factor: 2.741

3.  Elusive cranial lesions severely afflicting young endangered Patagonian huemul deer.

Authors:  Werner T Flueck
Journal:  BMC Res Notes       Date:  2018-09-03

4.  Correlation between Ocular and Rectal Temperature with Intra Ocular Pressure in Horse during Exercise.

Authors:  Francesca Aragona; Simona Di Pietro; Francesca Arfuso; Francesco Fazio; Giuseppe Piccione; Elisabetta Giudice; Claudia Giannetto
Journal:  Animals (Basel)       Date:  2022-07-21       Impact factor: 3.231

Review 5.  Thermography for disease detection in livestock: A scoping review.

Authors:  Rosemary McManus; Lisa A Boden; William Weir; Lorenzo Viora; Robert Barker; Yunhyong Kim; Pauline McBride; Shufan Yang
Journal:  Front Vet Sci       Date:  2022-08-09

6.  Thermal reference points as an index for monitoring body temperature in marine mammals.

Authors:  Mar Melero; Víctor Rodríguez-Prieto; Ana Rubio-García; Daniel García-Párraga; José Manuel Sánchez-Vizcaíno
Journal:  BMC Res Notes       Date:  2015-09-04

7.  Investigation of various essential factors for optimum infrared thermography.

Authors:  Keiji Okada; Kei Takemura; Shigeru Sato
Journal:  J Vet Med Sci       Date:  2013-07-13       Impact factor: 1.267

8.  A Pilot Study for Estimating the Cardiopulmonary Signals of Diverse Exotic Animals Using a Digital Camera.

Authors:  Ali Al-Naji; Yiting Tao; Ian Smith; Javaan Chahl
Journal:  Sensors (Basel)       Date:  2019-12-10       Impact factor: 3.576

  8 in total

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