A Computational Infrastructure for Analyzing Tuberculosis Research Data in Brazil
Mariana Tavares Mozini, Filipe Andrade Bernardi, Ana Clara de Andrade Mioto, Victor Cassão, Afrânio Lineu Kritski, Domingos Alves
Studies in health technology and informatics · 2023-06
Abstract
Tuberculosis (TB) is one of the infectious diseases that currently causes the most deaths, with 6.4 million new cases recorded in 2021. Although it is a curable disease, drug-resistant strains emerge due to a lack of hygiene and low-quality or inappropriate medications, among other factors. With this in mind, the World Health Organization initiated the End TB Strategy campaign to improve the health system in the fight against tuberculosis. For this, reliable and high-quality health data is necessary to create effective public policies. However, despite technological advancements such as emerging concepts like Big Data and the Internet of Things, generating health information faces several obstacles. Therefore, the present work aims to describe a pipeline for TB research in Brazil to contribute to obtaining high-quality data.
MeSH terms
- Tuberculosis
- Big data
- The Internet
- Public health
- Infectious disease (medical specialty)
- Disease
- Internet privacy
- Data quality
- Pipeline (software)
- Work (physics)
- Quality (philosophy)
- Data science
- Business
- Hygiene
- Medicine
- Environmental health
- Computer science
- Public relations
- Computer security