The ARCTEC team at the London School of Hygiene & Tropical Medicine, Medical Detection Dogs and Durham University are working on a study to train dogs to identify unique odours associated with coronavirus infection.
Meet the interdisciplinary group of researchers involved in this exciting study, all of whom have extensive experience working with volatile compounds and human infection.
Meet the six dogs that could soon be trained to detect if someone has COVID-19 and play a vital role in preventing further spread of the pandemic in future.
Dogs are great biosensors, capable of detecting odours associated with drugs, explosives, and food and are now being used in practice for public health to detect diseases such as malaria.
This study is built on the scientifically proven ability of dogs to act as great biosensors, capable of detecting odours associated with human health, as well as drugs, explosives and food.
For example, it has been scientifically proven that dogs can sense small changes in volatile organic compounds (VOCs), which can be produced by the human body when it is diseased. Dogs have already been trained to diagnose cancer in samples from patients, to alert people with diabetes that their blood sugar is low and detect many other diseases.
In a study published in the Lancet Infectious Diseases last year and funded by the Bill and Melinda Gates Foundation, our team of partners demonstrated that dogs can detect the presence of malaria in human odour with an effectiveness greater than 90%, even at an early stage of infection, which is above the World Health Organization’s standards for a diagnostic test. Importantly, the dogs can detect this in individuals who have no symptoms. We are now furthering this method to be used on the ground in sub-Saharan Africa where malaria is of serious concern.
Now, we hypothesise that dogs will also be able to detect VOCS in people who are infected with COVID-19. The research will involve training six available bio-detection dogs to distinguish between positive and negative odour samples, collected from up to 3,250 asymptomatic adults (who will be independently tested for COVID-19 infection). Our vision is to develop a fast, effective and non-invasive diagnostic, with the bio-detection dogs working to detect individuals infected with coronavirus at ports of entry and large gatherings.
Our world-leading team of scientists is highly experienced and perfectly positioned to perform the work required to demonstrate that dogs can detect COVID-19, deploy and up-scale.
Our study objectives are:
- To rigorously test the method through an intensive training programme, and, if successful, to deploy dogs within 8-10 weeks after training.
- To work with other, experienced partners to scale-up operations rapidly for mass global mass testing during the current pandemic. Each dog can screen up to 250 people hourly.
- To place dogs in service at airports and other ports of entry to detect infected travellers, and for community surveys in countries worldwide.
The implications of this study
This study could have a profound impact on how quickly we return to normality. Once we have demonstrated that our initial set of six trained dogs are capable of reliably identifying people infected with the coronavirus as, this non-invasive testing approach can then be scaled up significantly and rapidly.
Several trained dogs would be able to screen thousands of travellers each day at airports, identifying individuals who may require an additional test for confirmation or advised to self-isolate. This would allow the UK to further re-open its borders to international travel, with authorities confident that asymptomatic passengers can be quickly and effectively identified on arrival.
There is also potential for trained dogs to be used to screen commuters at travel hubs, visitors at museums, theatres, cinemas and sporting venues, which could help the entertainment sector. And just as importantly, a fast, effective and non-invasive COVID-19 diagnostic tool would ensure other more limited healthcare testing resources are used where they are truly needed.
Ultimately, we intend to scale up operations on a global scale, by working with dog training agencies, and the military and police forces, to deploy dogs in as many countries as possible. We are already in discussion with local governments and border agencies in several countries regarding this.
LSHTM has the expertise and knowledge to make a significant impact on COVID-19 diagnostic testing. We have extensive experience working with volatile organic compounds (VOCs) and human infection. Previous work from our group has shown that people infected with malaria parasites produce a body odour detectable by mosquitoes, which results in malaria mosquitoes preferentially feeding on asymptomatic, malaria-infected individuals. This was published in the high impacting journal PNAS. Together with Medical Detection Dogs and Durham University we later showed that dogs, with their highly advanced sense of smell, could be trained to detect people carrying malaria parasites. This was published in the journal Lancet Infectious Diseases.
Our research team is an interdisciplinary group of researchers with extensive experience working with VOCs and human infection, comprising experts in dog training and behavioural science, chemical ecology, infectious diseases, diagnostics, virology, biological chemistry, epidemiology, statistics and clinical trials.
Professor James Logan
Professor James Logan is the Director of ARCTEC and Head of the Department of Disease Control at the London School of Hygiene & Tropical Medicine.
James is the Principal Investigator of a large research portfolio investigating chemical ecology approaches for the surveillance and control of diseases. This includes using sensors, insects and other animals as biosensors for the identification of VOCs that can be used as diagnostic markers for disease, or as attractants and repellents for arthropods that transmit pathogens of medical importance, including malaria, Zika, dengue, trachoma, and Lyme disease.
Dr Claire Guest
Dr Claire Guest is a behavioural psychologist with more than 30 years’ experience of understanding and training dogs. In 2004 she directed one of the first programmes in the world to train dogs to identify cancer by odour and published the first robust proof of principle study in the BMJ later that year. She went on to co-found Medical Detection Dogs with Dr John Church in 2008.
Over the past 12 years under Claire’s leadership, Medical Detection Dogs has focused on establishing a strong evidence base for its research. Its commitment to rigorous scientific methodology, and to improving our understanding of canine olfactory ability, has led to research into the detection of a number of cancers, Parkinson’s disease, malaria and bacterial infections. It already applies what we know about the science of canine olfaction to benefit people by training Medical Alert Assistance Dogs, which help individuals manage complex, life-threatening medical conditions. The potential for this work to lead to the development of fast, reliable and non-invasive diagnostics is enormous.
In 2016 Claire wrote “Daisy’s Gift”, which tells the story of the formation of the charity and her remarkable dog ‘Daisy’, who indicated her own breast cancer.
Professor Steve Lindsay
Professor Steve Lindsay is a public health entomologist and Professor in the Department of Biosciences at Durham University.
Steve has considerable experience in public health interventions and has run large clinical trials measuring the impact of mosquito control on malaria in children. He was the principal investigator of the study that demonstrated that trained dogs could identify asymptomatic carriers of malaria. He is also the proud owner of a young working Labrador called Tilly.
Dr Sarah Dewhirst
Dr Sarah Dewhirst is Head of Research & Development at ARCTEC at the London School of Hygiene & Tropical Medicine.
Sarah has over 17 years’ experience in entomological and chemical ecology research, including in a post-doctorate position working on identifying odour baits to substantially increase the efficiency of traps and targets used in the control of the tsetse fly population, a major vector of African Sleeping Sickness.
Dr Anna Last
Dr Anna Last is a clinical epidemiologist and Associate Professor in Infectious Diseases at the London School of Hygiene & Tropical Medicine.
Anna has been working on a network of integrated studies on the integrated elimination of NTDs (including soil-transmitted helminths, lymphatic filariasis, schistosomiasis, yaws, and scabies) and malaria in East and West Africa.
Dr David Allen
Dr David Allen is Associate Professor of Virology at the London School of Hygiene & Tropical Medicine.
David’s research interests are in enteric virus infections - particularly norovirus and enterovirus - and the virological features of these viruses that drive their highly dynamic epidemiology, allowing them to emerge and persist in human populations.
Other researchers include:
- Professor John Pickett CBE FRS, Professor of Biological Chemistry, Cardiff University
- Professor Steven Morant, Professor of Epidemiology, University of Dundee
- Dr John Bradley, Assistant Professor of Medical Statistics and Epidemiology, LSHTM
- Professor Immo Kleinschmidt, Professor of Epidemiology, LSHTM
- Chelci Squires, Research Scientist and Trials Manager, ARCTEC
- James Hourston, Research Scientist and Trials Manager, ARCTEC
- Ann Rooney, Veterinary Epidemiologist, Lomond Veterinary Clinic
These six dogs could soon be trained to detect if someone has COVID-19 and play a vital role in preventing further spread of the pandemic in future.
Norman, Digby, Storm, Star, Jasper and Asher are ready to be assessed to work on this project, and their noses could pick up its scent in as little as 6 to 8 weeks.
The charity Medical Detection Dogs will intensively train the dogs that pass the assessment to help provide a rapid, non-invasive diagnosis towards the tail end of the epidemic, working in partnership with the ARCTEC at the London School of Hygiene & Tropical Medicine (LSHTM), and Durham University.
Breed: Working Cocker Spaniel
Temperament: The perfect mix of laid back and motivated
At work: Takes his job very seriously, focussed
At home: Affectionate, full of life, the perfect companion
Likes: Free running, sniffing, playing ball
Background: Norman joined Medical Detection Dogs from Wood Green, The Animals Charity
Age: 20 months
Temperament: Confident boy, sociable and curious. A gentle giant
At work: A methodical, determined, thinker
At home: Laid back and friendly. Enjoys a nap
Likes: Toys, going to the park to see friends he knows
Background: Joined Medical Detection Dogs from another assistance dog charity
Breed: Labrador x Golden Retriever
Temperament: Excitable, enthusiastic
At work: Focused and loves to use his nose
At home: Sweet, soft, eager to please
Likes: Chase games, cuddles, sunbathing
Background: Joined Medical Detection Dogs from another assistance dog charity
Temperament: Happy, enthusiastic
At work: Keen to work and full of energy
At home: Loves playtime with her favourite toys, a nice long walk and a cuddle
Likes: Learning and playing with the other dogs
Background: Came to Medical Detection Dogs from a private breeder
Breed: Working Cocker Spaniel
Temperament: Busy, keen to learn
At work: Fast but methodical
At home: Loves walks and adventures followed by a cuddle
Likes: Walks, visiting new places, eating carrots, playing with his friends and work
Background: Came to Medical Detection Dogs from Wood Green The Animals Charity
Breed: Working Cocker Spaniel
At work: Very focussed
At home: Usually found playing in the field or snuggled up on the sofa
Likes: Using his nose, playing, howling to be let through doors
Background: Asher had a tough start and was rehomed several times due to his high drive and sensitive nature but now lives with the CEO of Medical Detection Dogs, Claire Guest
Dogs have an incredible sense of smell that eclipses our own abilities by orders of magnitude. The complex folded structure of their nasal cavity which results in a huge surface area is home to over 300 million scent receptors compared to 5 milllion in a human. This makes it ideal for detecting odours and combined with their ability to learn, means dogs are great biosensors, capable of detecting odours associated with drugs, explosives, and food, which most of us will have encountered at airports.
Medical Detection Dogs has more than 10 years of research experience, in training bio detection dogs to detect the odour of disease from samples in a controlled environment, and then applying that knowledge to train them to identify changes in human odour caused by certain medical conditions.
Over the past 10 years Medical Detection Dogs has published in numerous peer reviewed journals, demonstrating that the dogs’ accuracy in detecting the odour of disease is reliably between 85 and 90%. Their research has also demonstrated that dogs can be trained to detect odour at dilutions of parts per trillion, which is the equivalent of one teaspoon of sugar in two Olympic sized swimming pools of water.
We believe dogs can be used as a non-invasive, rapid and effective diagnostic tool, to screen people for COVID-19. We know that dogs can already be trained to indicate the presence of respiratory conditions such as lung cancer through changes in the VOCs emitted from patients. Recent research on flu viruses has shown that they interact with the human immune system and change our VOC profiles. Dogs have already been shown to be able to detect the odours associated with respiratory infections, so we believe they will be able to do it for COVID-19.
First we need to collect odour samples from people who are infected with COVID-19, and people who are uninfected. Then, we will use those odour samples with six medical detection dogs that are ready for advanced training with the COVID-19 samples. Through an intensive training programme, we will test the method rigorously and, if successful, we could deploy dogs within as little as 8-10 weeks after training.
If successful we will work with other experienced partners to scale-up our operations rapidly to deploy the trained dogs during the ongoing COVID-19 epidemic. Once trained, detection dogs could be deployed in airports or other venues to screen large numbers of people, providing a rapid non-invasive screening for COVID-19. One single dog can screen up to 250 people per hour. We are already discussing scale up with international border agencies in several countries around the world.
We believe that dogs have the potential to detect the virus COVID–19. Medical Detection Dogs has always adopted a rigorous scientific approach to its work and the results of its work have been published in a number of peer reviewed research papers. These results have further supported our shared belief that diseases have their own unique odour that dogs have the ability to detect.
In principle, we are sure that dogs have the potential to detect COVID-19.
How will our dogs be able to help?
Our aim is that our COVID–19 detection dogs will be able to passively screen any individual, including those who are asymptomatic, and indicate to our dog handlers whether they have detected the COVID–19 virus. This will then need to be confirmed by a medical test. This would be fast, effective and non-invasive and make sure limited NHS testing resources are only used where they are really needed.
If our research is successful, we may be able to use COVID-19 detection dogs in public places such as airports, and at large gatherings. This would help prevent the second wave of the disease after we have brought the present pandemic under control.
When will they be ready?
We have a number of intensively pre-trained detector dogs that could be fully trained in 8-10 weeks.
How many dogs will you train?
The initial phase will see six bio-detection dogs undergo intensive training to be ready in 8-10 weeks. After this, we will then move into a second phase where we will train a further intake of dogs.
How will you train them?
Dogs searching for COVID-19 would be trained in the same way as those dogs the charity has already trained to detect diseases like cancer, Parkinson’s and bacterial infections – by sniffing samples in a training room and indicating when they have found it.
Is it safe for the dogs?
We will keep in constant contact with scientists and veterinarians to confirm the latest understandings, however it is currently believed that this is completely safe for dogs to perform this duty. Scientists have found that although COVID-19 is a novel virus that originated from animals and was passed on to humans, dogs cannot contract the disease. The dogs will be trained on non-infectious samples and will not need to make contact with the individuals they are screening.
Will dogs spread the virus?
No, our dogs will be trained on a dead virus and then have no contact with the individuals they are screening. Instead, they will sniff the air around the individual. The dogs are only be permitted to be touched by the handler, and there is only a very low risk of spread of the virus from the dog to their handler.
How will you get samples to train the dogs?
The dogs will be trained on samples obtained though the London School of Hygiene & Tropical Medicine.
We need your help!
We believe that the use of medical detection dogs may be a robust solution to the extremely urgent need for improved diagnostics for COVID-19.
We are looking for people who are:
- Due to have a coronavirus swab test or have had a swab test conducted in the previous 24 hours.
- Have suspected mild COVID-19 symptoms, or are a current NHS staff member or currently living with an NHS staff member.
- Aged 16 or over.
- Willing and able to wear a face mask for at least 3 hours, and nylon socks and a shirt for 12 hours.
Your part in this study would involve providing the result of your swab test, as well as samples of your breath and body odour which would be achieved through the wearing of a mask, shirt and nylon socks.
For more details on how you can volunteer or support us, please contact ARCTEC by calling 0207 927 2777 or by emailing email@example.com.
The volunteer phoneline is open 8am-8pm on weekdays, and 9am-7pm on weekends and Bank Holidays. Outside of these hours, please contact us by email.