Big data against childhood Obesity
Children and adolescents with obesity have a higher risk of developing various diseases later on, compared to children without obesity. The reasons why some children become obese are complex, and behaviour, the living environment, and public health policies all play a role. BigO collects and analyses anonymous data on children's behavioural patterns and their living environment. With advanced analytics BigO extracts data-driven evidence on which local factors are involved, and how these factors influence childhood obesity in Europe.
With this information BigO will be able to advice clinics and public health authorities on how to develop and plan effective programs and policies in an attempt to reduce childhood obesity.
A new scientific paper about BigO has been published on november 4 2019. This paper which is titled “A methodology for obtaining objective measurements of population obesogenic behaviors in relation to the environment” is published in the Statistical Journal of the IAOS. In the paper, an overview of the BigO methodology for collecting evidence on…Read more >
BigO had a strong presence at the ECOG 2019 conference on November 13-16 at Katowice Poland. The conference brought together professionals from all around Europe dealing with childhood obesity and overweight. In collaboration with the ECOG’s board, BigO organized a plenary session to inform the audience around “Smart technologies and BigO data to help policy…Read more >
Last October, the International Conference On Smart Living and Public Health (ICOST 2019) took place in New York City, USA. This conference was fundamentally oriented to Artificial Intelligence and Big Data in Public Health and Urban Living. On October 15, BigO was represented by Sergio Guillen, Deputy Project Coordinator of ACTIVAGE and Chief Innovation Officer of…Read more >