Data Science applied to epidemiological and demographic information as a strategy to simulation and malaria vigilance monitoring in the Brazilian Amazon
Luciana Correia Alves
Universidade Estadual de Campinas (UNICAMP)
Project name
Data Science applied to epidemiological and demographic information as a strategy to simulation and malaria vigilance monitoring in the Brazilian Amazon
About
The objective of this project is to develop data visualization tools and malaria outbreaks spreading simulation-based in machine learning methods, using demographic, epidemiological, climatic and clinical data related to malaria in the Brazilian Amazon. Such tools will be provided through a Web Platform with supporting tools to public administrators the goal is for it to be ready for use in the short term. All the infrastructure for the creation and provision for a Web Platform had been developed.
Published studies
- Factors in time to malaria treatment in the Brazilian Amazon: a survival analysis - 04/2024
- Data Visualization for Epidemiological and Demographic Data for Malaria Surveillance in the Brazilian Amazon, 2007-2019 - 09/2021
- Data Visualization for Epidemiological and Demographic Data for Malaria Surveillance in the Brazilian Amazon, 2007-2019 - 08/2021
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