Next Article in Journal
A Case of Submandibular Leiomyosarcoma, Mimicking an Abscess, in a Ball Python (Python regius)
Next Article in Special Issue
Genotyping of African Swine Fever Virus (ASFV) Isolates in Romania with the First Report of Genotype II in Symptomatic Pigs
Previous Article in Journal
Recent Advances in Molecular Genetic Tools for Babesia
Previous Article in Special Issue
Report on the First African Swine Fever Case in Greece
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Dynamic Variations in Infrared Skin Temperature of Weaned Pigs Experimentally Inoculated with the African Swine Fever Virus: A Pilot Study

1
Division of Animal Diseases & Health, National Institute of Animal Science, Rural Development Administration, 1500 Kongjwipatjwi-ro, Wanju 55365, Korea
2
International Livestock Research Institute (ILRI), Hanoi, Vietnam
3
Virology Department, National Institute of Veterinary Research, Hanoi, Vietnam
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Submission received: 9 September 2021 / Revised: 30 September 2021 / Accepted: 6 October 2021 / Published: 9 October 2021
(This article belongs to the Special Issue African Swine Fever Virus – Survival and Transmission)

Abstract

:
African swine fever (ASF) is a devastating viral disease in pigs and is therefore economically important for the swine industry. ASF is characterized by a short incubation period and immediate death, making the early identification of ASF-infected pigs essential. This pilot-scale study evaluates whether the infrared thermography (IRT) technique can be used as a diagnostic tool to detect changes in skin temperature (Tsk) during the early stages of disease development in experimentally ASF-infected pigs. Clinical symptoms and rectal temperatures (Tcore) were recorded daily, and IRT readings during the experimental ASF infection were analyzed. All infected pigs died at 5–8 days post inoculation (dpi), and the incubation period was approximately 4 dpi. The average Tcore increased from 0 dpi (38.9 ± 0.3 °C) to 7 dpi (41.0 ± 0.5 °C) and decreased by 8 dpi (39.8 ± 0 °C). The maximum Tsk of ASF-infected pigs increased from 2 (35.0 °C) to 3 dpi (38.5 °C). The mean maximum Tsk observed from three regions on the skin (ear, inguinal, and neck) significantly increased from 2 to 3 dpi. This study presents a non-contact method for the early detection of ASF in infected pigs using thermal imaging at 3 days after ASF infection.

Graphical Abstract

1. Introduction

Fever or internal temperature (Tcore) in pigs is commonly assessed by measuring rectal temperature with a mercurial thermometer. However, this method is invasive and requires manual handling of animals, which might increase the risk of spreading infectious pathogens within farms [1,2]. Infrared thermography (IRT) is a technique that creates a visible image from the invisible infrared radiation emitted by an object [3]. This technique has been increasingly used to detect several illnesses in humans and animals. Recently, IRT-based remote screening technology was widely used as a tool to measure temperature in the ongoing COVID-19 pandemic in humans [3]. In pigs, IRT has been used for the early detection of infections caused by Actinobacillus pleuropneumoniae, Salmonella Typhimurium, and Escherichia coli [4,5,6]. It is a useful tool for detecting fever without manual handling of individual pigs and, thus, could reduce the risk of spreading the infection between or within the farms. Therefore, visual surveillance by infrared skin temperature (Tsk) measurement has a great advantage in the early detection of infectious diseases that are accompanied by fever.
African swine fever (ASF) is a fatal disease causing serious economic losses in the pig industry [7]. Previous studies revealed that the incubation period of the African swine fever virus (ASFV) was approximately 3–5 days, and infected pigs died within 7–13 days post inoculation (dpi) [8,9,10,11]. Due to the short incubation period and immediate death, ASFV gives a short window for the disease to be reported by pig farms [8]. Moreover, the main control strategies during ASF outbreaks are livestock culling and quarantine, as there is no vaccine available. Since high fever is one of the most important clinical signs of ASF infection [12], the Tsk measurement method could be practically applied for surveillance of ASF in endemic/affected areas [1].
Pig hair is much coarser than other mammal hair; therefore, it has been suggested that the Tsk of pigs might not reflect the Tcore [13]. In order to utilize IRT as a disease diagnostic tool, it is necessary to evaluate the correlation between Tsk and Tcore of the infected pigs. However, most studies on IRT have been limited to healthy pigs [1,13,14,15], and only a few studies have addressed the Tsk in the case of porcine respiratory disease [5,6]. Therefore, this study investigates the dynamic comparison between Tsk recorded from thermal infrared (TIR) images of the ASFV-infected pig herd and their Tcore. We also analyzed the TIR images of ASFV-infected pigs from three regions of interest (ROI), including ear, inguinal, and neck regions. This pilot study demonstrates the use of IRT for the identification of ASFV-infected pigs in the early stage of infection, paving the way for developing a diagnostic tool for automatic fever detection in the future.

2. Materials and Methods

2.1. Animals

This preliminary study was part of a larger research project that involved an ASFV challenge experiment to evaluate the pathogenicity of ASFV isolated in Vietnam [9]. A total of 10 pathogen-free pigs (Yorkshire × Landrace × Duroc) aged appropriately 50 days, originating from the same herd in a commercial pig farm, were used. The study was performed in the animal biosecurity level 2 enhanced facility at the National Institute of Veterinary Research, Hanoi, Vietnam. All healthy pigs were moved into the facility one week before the start of the experiment. All pigs were tested and found to be negative for five porcine viral pathogens—namely, foot-and-mouth disease virus, porcine circovirus 2, porcine respiratory and reproductive syndrome virus, classic swine fever virus, and ASFV. Pigs were managed and fed twice a day by the veterinary staff, and water was provided ad libitum. Standard cleaning and maintenance procedures for the pig room were followed. The room temperature and humidity at the biosafety facility during the experimental period are given in Table 1.
All animal procedures followed the guidelines approved by the Animal Ethics Committee of the National Institute of Animal Science in the Republic of Korea and the rules of the National Institute of Veterinary Research in Vietnam. The study was approved by the Institutional Animal Care and Use Committee of the National Institute of Animal Science in the Republic of Korea (Approval Number: NIAS 2020-463).

2.2. Experimental Design

The detailed scheme for the ASFV inoculation experiment is shown in Figure 1. After a 7-day acclimatization period, 10 pigs were inoculated intramuscularly with ASFV, with a dose of 103.5 50% haemadsorbing doses per mL (HAD50/mL). The dose was selected based on an earlier report about efficient induction of infection via the intramuscular route in the case of ASFV from China [16]. The ASFV strain used in this study was VNUA/HY/Vietnam (Genotype II, GenBank accession no. MK554698), which had a 10-nucleotide insertion (5′-GGAATATATA-3′) [17,18]. Primary porcine alveolar macrophages in Dulbecco’s modified Eagle medium (supplemented with 5% fetal bovine serum) were used for culturing the ASFV strain. The clinical symptoms observed after inoculation were previously described in our prior study [9] and were generated based on the protocol by Galindo-Cardiel et al. [19], with minor modifications. The IRT measurement was continued with 7 pigs out of 10 pigs, as clear TIR images could not be obtained from 3 pigs. The Tcore of 7 ASFV-infected pigs was recorded daily by the designated mercurial thermometers for each pig. Blood samples were collected every day for quantifying the ASFV infection by qPCR. TIR images of ASFV-infected pigs were obtained by a handheld portable imaging camera (PTi120, Fluke Corp., Everett, WA, USA). The thermal camera used in this study had a spectral range of 8–14 μm, an accuracy of ±2 °C, a spatial resolution of 7.6 mrad, and thermal sensitivity of 60 mk at 30 °C. The TIR image of the ASFV-infected herd was recorded daily in the morning with the camera positioned at a distance of 50–100 cm from the herd. This was then followed by recording the images from individual ASF-infected pigs at dorsal and ventral views. From these images, we analyzed the Tsk of three ROI, including ear, inguinal, and neck.

2.3. Data Analysis

The time-series TIR images of ASFV-infected pigs were analyzed using Fluke Connect SmartView Software (Fluke Corp.) to deduce the maximum surface temperature of the selected areas. The software was set to treat each image in the color palette according to the skin temperature in the range of 26–41 °C, with an emissivity of 0.98. The maximum skin temperature was recorded and analyzed every day from the TIR image of the herd as well as the TIR images (from three ROI) of individual pigs.

2.4. Statistical Analysis

Statistical analyses were performed using SPSS version 25.0 (IBM, Armonk, NY, USA). A paired t-test was conducted to compare the mean values of temperatures between two time points. Results with p < 0.05 were considered significant. Temperature data are presented as the mean ± standard deviation calculated based on daily measurements in individual pigs.

3. Results

3.1. Clinical Assessment of ASF-Infected Pigs

During the period of the experiment, ASFV-infected pigs started to die at 5 days post inoculation (dpi) until 8 dpi. The main clinical signs of ASFV infection were observed from 4 dpi in all of the tested pigs, including digestive and respiratory problems. The mean incubation period was calculated as 3.7 ± 0.5 dpi, as described in our previous study [9]. The pigs died before reaching the predetermined humane endpoint of the study despite close monitoring.

3.2. Tcore of ASF-Infected Pigs

The average Tcore of ASF-infected pigs gradually increased as follows: 38.9 ± 0.3 (0 dpi, n = 7), 39.2 ± 0.2 (1 dpi, n = 7), 38.7 ± 0.3 (2 dpi, n = 7), 40.1 ± 0.4 (3 dpi, n = 7), 40.9 ± 0.2 (4 dpi, n = 7), 40.5 ± 0.5 (5 dpi, n = 6), 41.4 ± 0.2 (6 dpi, n = 4), 41.0 ± 0.5 (7 dpi, n = 4), and 39.8 ± 0 °C (8 dpi, n = 1). A significant difference was observed between 1–2 dpi (p = 0.019), 2–3 dpi (p < 0.001), and 3–4 dpi (p = 0014). The maximum Tcore of an alive ASF-infected pig also increased as follows: 39.5 (0 dpi), 39.6 (1 dpi), 39.2 (2 dpi), 40.7 (3 dpi), 41.5 (4 dpi), 41.2 (5 dpi), 41.6 (6 dpi), 41.7 (7 dpi), and 41.5 °C (8 dpi).

3.3. Tsk of ASF-Infected Pigs

The time-serial TIR images from the ASF-infected herd are shown in Figure 2. The maximum Tsk of an individual pig among the alive ASF-infected pigs were 36.7 (0 dpi), 36.4 (1 dpi), 35.0 (2 dpi), 38.5 (3 dpi), 39.7 (4 dpi), 39.9 (5 dpi), 39.3 (6 dpi), 39.1 (7 dpi), and 40.1 °C (at 8 dpi), representing a greater increase of the maximum Tsk from 2 (35.0 °C) to 3 dpi (38.5 °C). The comparison data between maximum Tcore and Tsk are shown in Figure 3.

3.4. Tsk of ROI from ASF-Infected Pigs

Tsk of the 3 ROI (ear, inguinal, and neck regions) from an individual pig was analyzed using the TIR images of the dorsal and ventral view. We calculated the mean temperature from maximum Tsk of 3 ROIs and compared them with those from Tcore (Figure 4). The means of the maximum ear skin temperature (Tear) in each pig were 33.6 ± 0.3 (0 dpi), 34.7 ± 0.6 (1 dpi), 33.8 ± 1.1 (2 dpi), 36.7 ± 0.5 (3 dpi), 37.2 ± 1.7 (4 dpi), 38.5 ± 0.7 (5 dpi), 37.6 ± 0.8 (6 dpi), 38.3 ± 1.7 (7 dpi), and 40.8 ± 0 °C (8 dpi). The means of the maximum inguinal temperature (Tinguinal) were 38.0 ± 0.5 (0 dpi), 39.0 ± 0.3 (1 dpi), 37.8 ± 0.9 (2 dpi), 41.1 ± 0.9 (3 dpi), 41.9 ± 0.6 (4 dpi), 42.0 ± 0.3 (5 dpi), 42.0 ± 0.7 (6 dpi), 42.3 ± 0.6 (7 dpi), and 41.7 ± 0 °C (8 dpi). The means of the maximum neck skin temperature (Tneck) were 34.7 ± 0.5 (0 dpi), 35.6 ± 0.7 (1 dpi), 34.7 ± 0.8 (2 dpi), 38.8 ± 0.8 (3 dpi), 39.1 ± 0.4 (4 dpi), 39.5 ± 0.5 (5 dpi), 38.6 ± 0.5 (6 dpi), 39.4 ± 0.8 (7 dpi), and 39.1 ± 0 °C (8 dpi). The maximum Tear indicated a significant difference between 1 and 2 dpi (p = 0.021) as well as 2 and 3 dpi (p < 0.001). We also observed significant differences 0–1 dpi (p = 0.001 and 0.004), 1–2 dpi (p = 0.044 and 0.027), and 2–3 dpi (p < 0.001 and p = 0.001) in the maximum Tinguinal and Tneck, respectively.

4. Discussion

ASF is a fatal viral disease that causes hemorrhagic fever in domestic pigs and has been included in the list of notifiable diseases by the World Organization for Animal Health (OIE) [20,21]. Given that the ASF outbreaks in the Asia-Pacific region are characterized by a short incubation period and immediate death, the early recognition of ASFV-infected pigs for stamping out from the herd is vital for the successful eradication of ASF [9,16,22,23]. For this reason, our previous study suggested that the rope-based oral fluid sampling technique could be useful for the early detection of ASFV in pigs at the herd level by minimizing contact with pigs [9]. In this study, we investigated the possibility of early detection of ASF-infected pigs by using a thermal camera.
Fifty-day-old weaned pigs experimentally infected by ASFV showed clinical symptoms from 4 dpi and started to die from 5 dpi. In addition, the mean Tcore of ASF-infected pigs (n = 7) significantly increased from 2 to 4 dpi in this study. These results are consistent with the previous studies that reported the occurrence of clinical symptoms about 4–5 days after ASFV infection [12,16,24,25]. Both the maximum Tsk and Tcore from the ASFV-infected herd dramatically increased from 2 to 3 dpi, as shown in Figure 2 and Figure 3. This finding suggested that the real-time daily measurement of Tsk could assist in the early detection for ASFV-infected pigs (3 days after an ASF infection) before they show clinical signs (3.7 ± 0.5 dpi). However, since many other infectious pathogens cause high fever in pigs [4,5,6], it is essential to consider the epidemiological situation prevalent (e.g., ASF outbreak in the nation, neighboring regions, or wild boars) for applying these IRT methods as an ASF diagnostic assist tool. A laboratory analysis will also be required to confirm whether the suspected pigs are infected with ASFV or not.
The results also confirmed that the Tsk from ASFV-infected pigs was distinct from Tcore, which was coincident with previous studies [1,13,14,16,26]. Previous studies have also revealed the relationship between Tsk and Tcore in pigs, indicating that they differ depending on the age and breed of pigs, ambient temperature, and region of body measured [13,16]. For the effective diagnosis of the ASFV infection in pig farms, it is important to ascertain the optimal Tsk of ASFV-infected pigs. This finding pointed to the possibility that the ASFV-infected weaned pigs (50-day-old) could be identified at an early stage of infection (at least 3 dpi) by analyzing the TIR image of the pig herd. The overall results implied that the weaned pigs with Tsk > 38.5 °C in the TIR image from the herd were considered as potentially infected with ASFV.
Although the TIR images from the herd might help pick pigs with suspected ASFV infection, among the herd, the determination Tsk of the specific areas on the body (ROI) is required to confirm ASFV-infected pigs individually. Previous studies reported that the “thermal windows” of pigs, such as the sulcus auriculae posterior, eye, and vulva, correlated with the Tcore [27,28,29]. In this study, we analyzed the Tsk of three ROIs (ear, inguinal, and neck regions) in pigs after ASFV inoculation. The discrepancy of the Tsk among three ROIs was caused by the difference in the blood perfusion to the outer skin surface, the coarseness of pig hair, and the thickness of the fat layer. The results showed that the mean of maximum Tear, Tinguinal, and Tneck significantly increased from 2 to 3 dpi. However, Tinguinal and Tneck also showed a significant increase at 0–1 dpi, which cannot be otherwise differentiated between normal and ASFV-infected pigs. Moreover, measuring Tinguinal and Tneck requires physical contact of farmworkers with the pigs; hence, these two ROIs present the risk of spreading the virus within farms through the workers handling these pigs. On the other hand, the pig’s ear is an important thermoregulatory area where blood vessels are exposed to the outer skin surface [13]. Several studies have highlighted that the Tear highly correlates with Tcore, as compared with other ROIs [13,26,30]. Notably, our findings showed that the mean of maximum Tear in ASFV-inoculated pigs dramatically increased (by 2.9 °C) from 2 to 3 dpi, implying the daily measurement of Tear was useful for detecting ASFV-infected pigs. The overall findings implied that ASFV infection could be suspected in pigs whose Tear exceeds 36.7 °C.
To the best of our knowledge, this is the first pilot study that investigates the dynamic variation in Tsk of experimentally ASFV-infected pigs. However, the current study has two major limitations. Firstly, only 50-day-old weaned pigs were considered for the experiment. For conclusive inference, the Tsk of pigs from varied age groups needs to be investigated, which can be achieved by using the TIR camera in pig farms. Secondly, the viral inoculation experiment was performed in a biosafety facility where the ambient temperature and humidity were controlled during the experiment. Although the air temperature and humidity were changed from 3 and 4 dpi in this study, we could not clearly identify the impact of these changes on the Tsk of pigs. The Tsk of pigs is known to be influenced by the ambient temperature, and hence, the Tsk of ASFV-infected pigs needs to be monitored under different ambient temperatures [1,26]. Nevertheless, this study provides significant evidence for the potential use of IRT as a method for early detection of ASFV infection in pigs.

5. Conclusions

In this study, we suggest the use of IRT for the early detection of ASFV-infected pigs. To summarize, our proposed IRT method for detecting ASFV-infected pigs is described as follows; 1. Daily screening of the herd of pigs using a thermal camera; 2. selecting the pigs with Tsk > 38.5 °C; 3. measuring the maximum Tear; 4. if the maximum Tear is more than 36.7 °C or increased more than 2.9 °C within 24 h, the pigs could be suspected to have been infected with ASFV. This IRT method can be used for pig farms that are epidemiologically associated with the high risk of an ASF outbreak. Since the current study was conducted only on pigs in a controlled environment, further research to identify optimal Tsk and Tear considering varied age groups and ambient temperatures is required for the successful application of the IRT technique to pig farms. Nonetheless, the current findings suggest that IRT can be developed as a diagnostic tool for early detection before the development of clinical symptoms of ASFV infection in pigs.

6. Patents

The authors S.-I.O., K.-M.S. and T.-Y.H. declare that they are named inventors on the pending, unpublished patent application in the Republic of Korea (Patent title: “Estimating method and system for recognizing African swine fever infected pigs using the thermal camera”, Patent No. 10-2021-0047517), relating to the use of a thermal camera for early detection of ASF-suspected pigs described herein.

Author Contributions

Conceptualization, S.-I.O.; methodology, S.-I.O., H.S.L. and V.N.B.; software, S.-I.O.; validation, S.-I.O., S.-W.Y., E.K., K.-M.S. and T.-Y.H.; formal analysis, S.-I.O. and H.S.L.; investigation, V.N.B., D.T.D., N.A.B., T.D.L., M.A.K., Q.H.N., L.H.T., H.S.L. and S.-I.O.; resources, V.N.B., D.T.D., N.A.B., H.S.L. and S.-I.O.; data curation, S.-I.O., H.S.L., S.-W.Y., E.K. and T.-Y.H.; writing—original draft preparation, S.-I.O.; writing—review and editing, S.-I.O. and H.S.L.; visualization, S.-I.O., D.T.D., N.A.B., T.D.L., M.A.K., Q.H.N., L.H.T. and H.S.L.; supervision, V.N.B., K.-M.S. and T.-Y.H.; project administration, S.-I.O. and H.S.L.; funding acquisition, S.-I.O. and H.S.L. All authors have read and agreed to the published version of the manuscript.

Funding

This work was conducted with the support of “Cooperative Research Program for Agriculture Science and Technology Development (Project Title: Analysis and monitoring of clinical and epidemiological features of African swine fever, Project No. PJ01484301)”, Rural Development Administration, Republic of Korea.

Institutional Review Board Statement

The study was conducted according to the guidelines of the Animal Ethics Committee of the National Institute of Animal Science in the Republic of Korea and the rules of the National Institute of Veterinary Science in Vietnam. The study was approved by the Institutional Animal Care and Use Committee of the National Institute of Animal Science in the Republic of Korea (Approval Number: NIAS 2020-463).

Informed Consent Statement

Not applicable.

Data Availability Statement

The data presented in this study are available by reasonable request from the corresponding author.

Acknowledgments

The authors would like to thank the staff of the National Institute of Veterinary Science in Vietnam.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Jia, G.; Li, W.; Meng, J.; Tan, H.; Feng, Y. Non-contact evaluation of a pig′ s body temperature incorporating environmental factors. Sensors 2020, 20, 4282. [Google Scholar] [CrossRef]
  2. Schaefer, A.L.; Cook, N.; Tessaro, S.V.; Deregt, D.; Desroches, G.; Dubeski, P.L.; Tong, A.K.W.; Godson, D.L. Early detection and prediction of infection using infrared thermography. Can. J. Anim. Sci. 2004, 84, 73–80. [Google Scholar] [CrossRef]
  3. Martinez-Jimenez, M.A.; Loza-Gonzalez, V.M.; Kolosovas-Machuca, E.S.; Yanes-Lane, M.E.; Ramirez-GarciaLuna, A.S.; Ramirez-GarciaLuna, J.L. Diagnostic accuracy of infrared thermal imaging for detecting covid-19 infection in minimally symptomatic patients. Eur. J. Clin. Investig. 2021, 51, e13474. [Google Scholar] [CrossRef] [PubMed]
  4. Islam, M.M.; Ahmed, S.T.; Mun, H.S.; Bostami, A.R.; Kim, Y.J.; Yang, C.J. Use of thermal imaging for the early detection of signs of disease in pigs challenged orally with Salmonella typhimurium and Escherichia coli. Afr. J. Microbiol. Res. 2015, 9, 1667–1674. [Google Scholar]
  5. Jorquera-Chavez, M.; Fuentes, S.; Dunshea, F.R.; Warner, R.D.; Poblete, T.; Morrison, R.S.; Jongman, E.C. Remotely sensed imagery for early detection of respiratory disease in pigs: A pilot study. Animals 2020, 10, 451. [Google Scholar] [CrossRef] [Green Version]
  6. Menzel, A.; Beyerbach, M.; Siewert, C.; Gundlach, M.; Hoeltig, D.; Graage, R.; Seifert, H.; Waldmann, K.-H.; Verspohl, J.; Hennig-Pauka, I. Actinobacillus pleuropneumoniae challenge in swine: Diagnostic of lung alterations by infrared thermography. BMC Vet. Res. 2014, 10, 1–13. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  7. Mason-D’Croz, D.; Bogard, J.R.; Herrero, M.; Robinson, S.; Sulser, T.B.; Wiebe, K.; Willenbocke, D.; Godfray, H.C.J. Modelling the global economic consequences of a major African swine fever outbreak in China. Nat. Food. 2020, 1, 221–228. [Google Scholar] [CrossRef] [Green Version]
  8. Guinat, C.; Reis, A.L.; Netherton, C.L.; Goatley, L.; Pfeiffer, D.U.; Dixon, L. Dynamics of African swine fever virus shedding and excretion in domestic pigs infected by intramuscular inoculation and contact transmission. Vet. Res. 2014, 45, 93. [Google Scholar] [CrossRef]
  9. Lee, H.S.; Bui, V.N.; Dao, D.T.; Bui, N.A.; Le, T.D.; Kieu, M.A.; Nguyen, Q.H.; Tran, L.H.; Roh, J.-H.; So, K.-M.; et al. Pathogenicity of an African swine fever virus strain isolated in Vietnam and alternative diagnostic specimens for early detection of viral infection. Porcine Health Manag. 2021, 7, 1–11. [Google Scholar] [CrossRef]
  10. Pikalo, J.; Zani, L.; Hühr, J.; Beer, M.; Blome, S. Pathogenesis of African swine fever in domestic pigs and European wild boar–Lessons learned from recent animal trials. Virus Res. 2019, 271, 197614. [Google Scholar] [CrossRef]
  11. Sehl, J.; Pikalo, J.; Schäfer, A.; Franzke, K.; Pannhorst, K.; Elnagar, A.; Blohm, U.; Blome, S.; Breithaupt, A. Comparative pathology of domestic pigs and wild boar infected with the moderately virulent African swine fever virus strain “Estonia 2014”. Pathogens 2020, 9, 662. [Google Scholar] [CrossRef]
  12. Sánchez-Vizcaíno, J.M.; Laddomada, A.; Arias, M.L. African swine fever virus. In Diseases of Swine, 11th ed.; Zimmermann, J., Ed.; Wiley-Blackwell: Hoboken, NJ, USA, 2019; pp. 443–452. [Google Scholar]
  13. Soerensen, D.D.; Pedersen, L.J. Infrared skin temperature measurements for monitoring health in pigs: A review. Acta Vet. Scand. 2015, 57, 1–11. [Google Scholar] [CrossRef] [Green Version]
  14. Soerensen, D.D.; Clausen, S.; Mercer, J.B.; Pedersen, L.J. Determining the emissivity of pig skin for accurate infrared thermography. Comput. Electron. Agric. 2014, 109, 52–58. [Google Scholar] [CrossRef]
  15. Zhang, Z.; Zhang, H.; Liu, T. Study on body temperature detection of pig based on infrared technology: A review. Artif. Intell. Agric. 2019, 1, 14–26. [Google Scholar] [CrossRef]
  16. Zhao, D.; Liu, R.; Zhang, X.; Li, F.; Wang, J.; Zhang, J.; Liu, X.; Wang, L.; Zhang, J.; Wu, X.; et al. Replication and virulence in pigs of the first African swine fever virus isolated in China. Emerg. Microbes. Infect. 2019, 8, 438–447. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  17. Le, V.P.; Jeong, D.G.; Yoon, S.-W.; Kwon, H.-M.; Trinh, T.B.N.; Nguyen, T.L.; Bui, T.T.N.; Oh, J.; Kim, J.B.; Cheong, K.M.; et al. Outbreak of African swine fever, Vietnam, 2019. Emerg. Infect. Dis. 2019, 25, 1433–1435. [Google Scholar] [CrossRef]
  18. Mai, N.T.A.; Vu, X.D.; Nguyen, T.T.H.; Nguyen, V.T.; Trinh, T.B.N.; Kim, Y.J.; Kim, H.-J.; Cho, K.-H.; Nguyen, T.L.; Bui, T.T.N.; et al. Molecular profle of African swine fever virus (ASFV) circulating in Vietnam during 2019–2020 outbreaks. Arch. Virol. 2021, 166, 885–890. [Google Scholar] [CrossRef]
  19. Galindo-Cardiel, I.; Ballester, M.; Solanes, D.; Nofrarías, M.; López-Soria, S.; Argilaguet, J.M.; Lacasta, A.; Accensi, F.; Rodrigurez, F.; Segales, J. Standardization of pathological investigations in the framework of experimental ASFV infections. Virus Res. 2013, 173, 180–190. [Google Scholar] [CrossRef]
  20. Nga, B.T.T.; Dao, B.T.A.; Thi, L.N.; Osaki, M.; Kawashima, K.; Song, D.; Salguero, F.J.; Le, V.P. Clinical and pathological study of the first outbreak cases of African swine fever in Vietnam, 2019. Front. Vet. Sci. 2020, 7, 392. [Google Scholar] [CrossRef]
  21. OIE. Technical Disease Card of African Swine Fever. 2019. Available online: https://www.oie.int/fileadmin/Home/eng/Animal_Health_in_the_World/docs/pdf/Disease_cards/AFRICAN_SWINE_FEVER.pdf. (accessed on 1 June 2019).
  22. Gallardo, C.; Nurmoja, I.; Soler, A.; Delicado, V.; Simón, A.; Martin, E.; Perez, C.; Nieto, R.; Arias, M. Evolution in Europe of African swine fever genotype II viruses from highly to moderately virulent. Vet. Microbiol. 2018, 219, 70–79. [Google Scholar]
  23. Lee, H.S.; Thakur, K.K.; Bui, V.N.; Pham, T.L.; Bui, A.N.; Dao, T.D.; Thanh, V.T.; Wieland, B. A stochastic simulation model of African swine fever transmission in domestic pig farms in the Red River Delta region in Vietnam. Transbound. Emerg. Dis. 2020, 68, 1384–1391. [Google Scholar] [CrossRef]
  24. Gabriel, C.; Blome, S.; Malogolovkin, A.; Parilov, S.; Kolbasov, D.; Teifke, J.P.; Beer, M. Characterization of African swine fever virus Caucasus isolate in European wild boars. Emerg. Infect. Dis. 2011, 17, 2342–2345. [Google Scholar] [CrossRef] [PubMed]
  25. O’Donnell, V.; Holinka, L.G.; Krug, P.W.; Gladue, D.P.; Carlson, J.; Sanford, B.; Alfano, M.; Kramer, E.; Lu, Z.; Arzt, J.; et al. African swine fever virus Georgia 2007 with a deletion of virulence-associated gene 9GL (B119L), when administered at low doses, leads to virus attenuation in swine and induces an effective protection against homologous challenge. J. Virol. 2015, 89, 8556–8566. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  26. Kammersgaard, T.; Malmkvist, J.; Pedersen, L. Infrared thermography–a non-invasive tool to evaluate thermal status of neonatal pigs based on surface temperature. Animal 2013, 7, 2026–2034. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  27. Mostaço, G.M.; Miranda, K.O.S.; Condotta, I.C.S.; Salgado, D.D.A. Determination of piglets’ rectal temperature and respiratory rate through skin surface temperature under climatic chamber conditions. Eng. Agríc. 2015, 35, 979–989. [Google Scholar] [CrossRef] [Green Version]
  28. Siewert, C.; Dänicke, S.; Kersten, S.; Brosig, B.; Rohweder, D.; Beyerbach, M.; Seifert, H. Difference method for analysing infrared images in pigs with elevated body temperatures. Z. Med. Phys. 2014, 24, 6–15. [Google Scholar] [CrossRef]
  29. Simões, V.G.; Lyazrhi, F.; Picard-Hagen, N.; Gayrard, V.; Martineau, G.P.; Waret-Szkuta, A. Variations in the vulvar temperature of sows during proestrus and estrus as determined by infrared thermography and its relation to ovulation. Theriogenology 2014, 82, 1080–1085. [Google Scholar] [CrossRef]
  30. Tabuaciri, P.; Bunter, K.L.; Graser, H.-U. Thermal imaging as a potential tool for identifying piglets at risk. In AGBU Pig Genetics Workshop Armidale, Australia: Animal Genetics and Breeding Unit; University of New England: Armidale, NSW, Australia, 2012; pp. 23–30. [Google Scholar]
Figure 1. Experimental scheme for the study. The pigs (n = 10) were inoculated with ASF virus strain (103.5 HAD50/mL) from Vietnam, and the rectal and infrared skin temperatures were measured for seven pigs once a day until the pigs died.
Figure 1. Experimental scheme for the study. The pigs (n = 10) were inoculated with ASF virus strain (103.5 HAD50/mL) from Vietnam, and the rectal and infrared skin temperatures were measured for seven pigs once a day until the pigs died.
Vetsci 08 00223 g001
Figure 2. Time-serial thermal images of the pig herd including 50-day-old weaned pigs after ASF virus inoculation.
Figure 2. Time-serial thermal images of the pig herd including 50-day-old weaned pigs after ASF virus inoculation.
Vetsci 08 00223 g002
Figure 3. The maximum skin infrared temperature (Tsk) from the thermal infrared images of the African-swine-fever-virus-infected herd (red line). The maximum rectal temperature (Tcore) of the pig from the African-swine-fever-virus-infected herd (blue line).
Figure 3. The maximum skin infrared temperature (Tsk) from the thermal infrared images of the African-swine-fever-virus-infected herd (red line). The maximum rectal temperature (Tcore) of the pig from the African-swine-fever-virus-infected herd (blue line).
Vetsci 08 00223 g003
Figure 4. Mean of the maximum infrared skin temperatures of the three regions of interest [the ear (Tear), inguinal (Tinguinal), and neck (Tneck) region] and the mean of rectal temperature (Tcore) from experimentally ASF-infected pigs. * p < 0.05.
Figure 4. Mean of the maximum infrared skin temperatures of the three regions of interest [the ear (Tear), inguinal (Tinguinal), and neck (Tneck) region] and the mean of rectal temperature (Tcore) from experimentally ASF-infected pigs. * p < 0.05.
Vetsci 08 00223 g004
Table 1. The temperature and humidity in the biosafety facility during the viral inoculation experiment.
Table 1. The temperature and humidity in the biosafety facility during the viral inoculation experiment.
Day Post Inoculation (Days)012345678
Temperature (°C)282828282727272727
Humidity (%)707070706865657069
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Oh, S.-I.; Lee, H.S.; Bui, V.N.; Dao, D.T.; Bui, N.A.; Le, T.D.; Kieu, M.A.; Nguyen, Q.H.; Tran, L.H.; So, K.-M.; et al. Dynamic Variations in Infrared Skin Temperature of Weaned Pigs Experimentally Inoculated with the African Swine Fever Virus: A Pilot Study. Vet. Sci. 2021, 8, 223. https://0-doi-org.brum.beds.ac.uk/10.3390/vetsci8100223

AMA Style

Oh S-I, Lee HS, Bui VN, Dao DT, Bui NA, Le TD, Kieu MA, Nguyen QH, Tran LH, So K-M, et al. Dynamic Variations in Infrared Skin Temperature of Weaned Pigs Experimentally Inoculated with the African Swine Fever Virus: A Pilot Study. Veterinary Sciences. 2021; 8(10):223. https://0-doi-org.brum.beds.ac.uk/10.3390/vetsci8100223

Chicago/Turabian Style

Oh, Sang-Ik, Hu Suk Lee, Vuong Nghia Bui, Duy Tung Dao, Ngoc Anh Bui, Thanh Duy Le, Minh Anh Kieu, Quang Huy Nguyen, Long Hoang Tran, Kyoung-Min So, and et al. 2021. "Dynamic Variations in Infrared Skin Temperature of Weaned Pigs Experimentally Inoculated with the African Swine Fever Virus: A Pilot Study" Veterinary Sciences 8, no. 10: 223. https://0-doi-org.brum.beds.ac.uk/10.3390/vetsci8100223

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop