The ability of artificial intelligence to prevent and identify the next pandemic, such as Covid-19. We know that the main causes of disease transmission are human invasions of animal habitats, changes in climate change and the increased movement of people, animals and animal products as a result of trade International. Below is more information about the AI's ability to detect pandemics.
How can artificial intelligence predict upcoming pandemics?
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The WHO - World Health Organization classifies zoonosis as the transmission of infectious diseases from animals wild animals to humans, which can be fatal enough to cause pandemics such as the Covid-19.
According to the Global Virome Project, approximately 1.7 million animal viruses are known to cause infections in birds and mammals.
Scientists believe that nearly half of these viruses can infect humans. So, seeking to understand them has become fundamental for preventing pandemics or, at least, being better prepared in the event of a pandemic.
This research is a very large undertaking, which has resulted in the creation of a new discipline in which machine handling (ML) and statistical models are used. for the prevention of the emergence of various diseases, likely geographic hot spots, animal hosts and viruses that are most likely to affect beings humans.
Scientists who support this type of technology are quite confident that the discoveries made through this technology will guide the future. development of medicines and vaccines, in addition to the great help that will be for everyone involved willing to study, observe and predict situations with accuracy.
Well, not all researchers and scientists share this point of view. Many doubt that this technology can keep up with the rapidly changing virome or the scale of what exists at any given time.
Indeed, it is true that data models and artificial intelligence (AI) are improving constantly and very quickly, however, for these tools to be truly predictive of future pandemics, efforts must include a global network of researchers.
Artificial Intelligence has identified the first signs of COVID-19
Bluedot, headquartered in Canada, was one of the first to identify the emergence of the COVID-19 pandemic and alert the world, Bluedot features an artificial intelligence-based algorithm that continuously polls global data to predict the next outbreak of a disease infectious.
But Children's Hospital Boston's HealthMap algorithm was also one of the first to detect early signs of COVID-19. And so did Mayo Clinic's coronavirus map tracking tool.
Natural language processing (NLP) algorithms that monitor through rapid development, global health reports, and news agencies in numerous languages, thus signaling mentions of diseases such as COVID-19 or endemic diseases such as tuberculosis or HIV. In addition, air travel data is also monitored to assess the risks of spreading the virus. virus.
During the alarming period of COVID-19, social media has been found to be a very reliable source of data. Data Scientists at the University of Colorado, Boulder, used their machine learning and a short-term forecasting model to be able to analyze large datasets collected from popular online platforms and compares them to results with information gleaned from mobile device location data plus traditional.
When the policies for the use of masks, blocking the exit and entry of travelers in countries and travel restrictions changed in 2021, this model was found to be much more effective than others models.