Web-Based Dashboard for Tracking Cryptococcosis-Related Deaths in Brazil (2000-2022)

Area of Science:

• Epidemiology
• Public Health
• Infectious Diseases

Background:

• Cryptococcosis is a neglected systemic mycosis in Brazil due to limited surveillance.
• National mortality data from 2000-2022 is analyzed to understand cryptococcosis trends.

Purpose of the Study:

• To develop an interactive dashboard for analyzing cryptococcosis mortality data.
• To forecast cryptococcosis death trends using regional ARIMA modeling.

Main Methods:

• Utilized the Cross-Industry Standard Process for Data Mining (CRISP-DM) framework.
• Extracted and preprocessed mortality data from the Brazilian Mortality Information System (SIM) using R Studio.
• Developed an interactive dashboard with Shiny, Plotly, and DT for data visualization and multilingual support.

Main Results:

• Analyzed 12,308 deaths, primarily in males aged 21-60.
• Dashboard provides dynamic exploration of trends, demographics, and data downloads.
• Regional ARIMA models forecast heterogeneous trends, with a projected decline in the Southeast and stability in the South.

Conclusions:

• The dashboard enhances cryptococcosis surveillance, aiding in identifying at-risk populations and resource allocation.
• The open-source tool can be adapted for other neglected diseases, despite limitations in HIV data.
• Improved data analysis and forecasting are crucial for managing neglected tropical diseases.