- Fabrício Martins MendonçaUniversidade Federal de Juiz de Fora
- Mário Antônio Ribeiro DantasUniversidade Federal de Juiz de Fora
Digital transformation, big data, artificial intelligence and data analytics are probably the most cited computational subjects in the news around the world. Commercial and technical reports (and papers), usually, indicate high level of success in the adoption of these approaches. In contrast, the present war that the world is facing against the Covid-19, it is not common to see many references about these technologies. In this paper, we present a research work which observes approaches on how to effectively adopt these technologies for a public primary healthcare monitoring, based on Internet of Things devices. Partial results from the proposal indicates a differentiated approach to tackle large challenges, similar to these created by the actual Covid-19 pandemic scenario. In addition, our experiments shown that the adoption of these computational topics require a faster digital behavior changes, to the procedures from governments and people, to be successful as environments for individual health enhancement and protection.