Morbidostats

Morbidostats is an open-source, privacy-focused web application designed to track and visualize health-related metrics, particularly those related to morbidity and mortality data. Developed as a tool for epidemiologists, public health researchers, and data analysts, it aims to provide a user-friendly platform for analyzing trends in disease prevalence, patient outcomes, and other health indicators over time.

The software aggregates and visualizes data through interactive dashboards, allowing users to explore patterns such as seasonal variations, geographic disparities, or the impact of interventions. Morbidostats supports customizable queries, enabling researchers to filter datasets by demographics, time periods, or specific conditions. It also incorporates machine learning capabilities to detect anomalies or correlations in the data, assisting in early outbreak detection or hypothesis generation.

One of its key features is its adherence to privacy standards, ensuring that sensitive health information is anonymized and securely handled. Morbidostats is built on modular architecture, allowing integration with existing health databases or APIs. While primarily used in academic and research settings, its flexibility makes it adaptable for local health departments or non-governmental organizations monitoring public health trends.

The project is maintained by a community of developers and health professionals, with contributions open to the public. Morbidostats is distributed under an open-source license, promoting transparency and collaboration in public health data analysis. Its documentation and tutorials provide guidance for users to customize dashboards and analyze datasets effectively.