Applying Canine Detection in Support of Collaborative Archaeology

This article explores the use of specially trained canines to detect the location of human burials in nonmodern archaeological contexts. It discusses the history of the discipline, training and field methods, the importance of developing a working relationship with descendant communities, project examples, an assessment of canine detection effectiveness, and ways to select a canine detection team. The article highlights how the application of canine detection training and protocols to the archaeological record makes it possible to locate potential precontact Native American burial areas without ground disturbance. In some cases, probable burial areas located by canines can be confidentially mapped to ensure avoidance during upcoming construction projects. For a variety of reasons, many Native American communities have been wary of embracing this new method to locate ancestral burials. Today, however, canine detection is widely accepted by many tribal groups in California to locate ancestral burials that might be impacted by construction. Although additional controlled studies and rigorous field laboratory experiments are needed to understand the range of variation in efficacy fully, available results in both North America and Europe demonstrate that specially trained canines can often accurately locate human burials that are more than a thousand years old to within a few meters.

EVALUATION OF CANINE DETECTION OF COVID-19 INFECTED INDIVIDUALS UNDER CONTROLLED SETTINGS

RT-PCR is currently the standard diagnostic method to detect symptomatic and asymptomatic individuals infected with SARS-CoV-2. However, RT-PCR results are not immediate and may falsely be negative before an infected individual sheds viral particle in the upper airway where swabs are collected. Infected individuals emit volatile organic compounds (VOCs) in their breath and sweat that are detectable by trained dogs. Here we evaluate the diagnostic accuracy of dog detection against SARS-CoV-2 infection. Fifteen dogs previously trained at two centres in Australia were presented to axillary sweat specimens collected from known SARS-CoV-2 human cases and non-cases. The true infection status of the cases and non-cases were confirmed based on RT-PCR results as well as clinical presentation. Across dogs, the overall diagnostic sensitivity (DSe) was 95.6% (95%CI: 93.6%-97.6%) and diagnostic specificity (DSp) was 98.1% (95%CI: 96.3%-100.0%). The DSp decreased significantly with non-case specimens sourced from UAE ( P-value < 0.001). The location of evaluation did not impact the detection performances. The accuracy of detection varied across dogs and experienced dogs revealed a marginally better DSp ( P-value = 0.003). The potential and limitations of this alternative detection tool are discussed.

Canine Detection of the Volatile Organic Compounds Related to Cervical Cancer Cells

The use of trained dogs for the detection of volatile biomarkers in biological samples has great potential to be used for non-invasive diagnosis and monitoring of several diseases such as cancer. It offers early, highly accurate detection with fast response times, non-invasive to patients and allows for repeated sampling. The aforementioned methods are useful as a portable technology to increase detection, screening, and monitoring coverage in populations at risk. In this sense, Cervical Cancer (CC) has become a public health concern of alarming proportions in many developing countries, particularly in low-income sectors and marginalized regions due to different factors that limit the coverage of screening methods and the acceptance rates of women attending their routine gynecological examination. As such, early detection is a crucial medical factor in improving not only their population’s quality of life but also its life expectancy. For the above, the great odor detection threshold exhibited by dogs is not unheard of and represents a potential opportunity to develop an affordable, accessible, and non-invasive method for detection of CC with high sensibility and specificity values.