How ‘big data’ can help stop animal abuse and euthanasia
Pet hospitals have long been used as laboratories for human experiments, but now the field of big data could be opening up to the animal care industry.
The biggest problem for pet owners is the lack of data.
But a new trend is making data mining a viable alternative to animal testing.
“Big data is not the only thing that’s changing the way we treat animals, but it is the biggest shift in how we treat them,” says Peter Bevan, president of the International Society for the Study of Animals (ISSA), which promotes the use of big datasets in animal research.
Big data is being used in a range of areas including: •The treatment of infectious diseases, like Ebola •The monitoring of population movements and diseases like dengue •The understanding of how to prevent and treat diseases in animals and other living things, like viruses, parasites and infectious diseases •The creation of new medical devices, like vaccines and diagnostics that use big data to improve the safety of human treatments The idea behind big data is that it is a natural resource that can be used to learn, interpret and share information.
Big Data has been used to help governments and industry to better understand the workings of health systems and better predict outbreaks.
It is also used to create new drugs, such as the Zika vaccine, that are less toxic than currently available vaccines, but may be less effective.
But Big Data can also help us make important decisions, such when it comes to choosing the right pet.
The ISSA’s Pet Research Network (PRN) uses data to help researchers understand how animals behave, to develop better diagnostics, and to better manage disease in the wild.
It also helps researchers understand human behaviour and behaviour change and how that can lead to better healthcare.
A recent study from the University of Melbourne found that people who use the PRN data to learn more about their pet were better at recognising and dealing with illnesses in their pets.
Researchers can then compare their pet’s behaviour to the behaviour of their neighbours and other members of the community, and improve how they can treat people with conditions such as chronic pain.
“What we have discovered is that the PRNs are the most effective way to study behaviour in pets,” says Dr Karen Hirsch, one of the researchers involved in the study.
“Pets are incredibly social creatures.
So what you have to do is make sure that you’re understanding how their social behaviour changes when they have different levels of behaviour problems.”
This study found that if the pet had low levels of social interaction, it was more likely to develop chronic pain and more likely be in a stressful situation.
The same was true for the pet that had high levels of interaction, which was also more likely develop chronic problems.
“The more the data you can gather, the more likely you are to be able to make better decisions about treatment,” Dr Hirsch says.
In other words, the bigger the data collection, the better.
But there are some drawbacks to using big data.
For one, data can be a big drain on resources.
“There’s a lot of data in pet records that we don’t have,” says Hirsch.
“It’s like having a huge database that’s completely useless.”
Another problem is that big data isn’t always accurate.
Sometimes it simply doesn’t match up to real-world data, such that it’s inaccurate.
For example, one study found pet owners who use data to make decisions that aren’t necessarily right could actually be harming the welfare of their pet.
“If you have a dog that’s a bit of a mess, it’s really easy to put your head in your hands and say, ‘Oh my god, he’s a mess,'” says Dr Hichs.
“I’m not saying that dogs don’t need help, but they do need help.”
“But then we can also look at the data and say that the dog has a lot more health problems than you think it does.”
Another drawback of big-data analysis is that people don’t always have access to it.
“So for example, there’s a study where a couple of researchers looked at the health data of 1,000 dogs from the UK and came up with some very interesting findings about how dogs in that study were more likely than the general population to develop heart disease, asthma and diabetes,” Dr Bevan says.
“When they looked at those dogs and asked them, ‘Is this the right time to be vaccinated?'”
The researchers found that when people had access to big data, they were able to compare the health outcomes of dogs from different breed groups, which could have helped them make better health decisions.
The idea is that as a result of these insights, the researchers could then use big-bit analysis to identify which dogs in particular needed the vaccination and make better vaccination decisions.
“For example, if you’re a veterinarian, you can look at your own dog’s medical history and then you can make more educated decisions about how to vaccinate them,” Dr G