Dynamics for Epidemic Surveillance and Evaluation

D-FENSE: Dynamics for Epidemic Surveillance and Evaluation repository aims to store and share data related to dengue in Brazil, as well as developing effective predictive models for dengue outbreaks in the country. This work seeks to address emerging demands for dengue monitoring and forecasting, contributing to detailed analysis and supporting decision-making in public health.

The objectives of this initiative include:

• Storing and organizing relevant data on dengue cases in Brazil;
• Building tools for clear and accessible visualization of dengue-related data;
• Developing mathematical models for reliable short-term dengue progression forecasting;
• Providing educational materials in the field of mathematical modeling of epidemics and its applications to dengue;
• Disseminating high-quality information to the interested public, aiding in the understanding and combating of dengue.

Author

• Americo Cunha Jr

Data Source

The raw data used in this repository is sourced from:

• F. C. Coelho et al., Full dataset for dengue forecasting in Brazil for Infodengue-Mosqlimate sprint 2024, https://zenodo.org/records/13328231

How to Cite This Repository

If you wish to cite this repository in a document, please use the following reference:

• D-FENSE: Dynamics for Epidemic Surveillance and Evaluation, GitHub repository, 2024, https://github.com/americocunhajr/D-FENSE

In BibTeX format:

@misc{DFENSEGitHub,
   author       = {Americo {Cunha~Jr}},
   title        = { {D-FENSE}: {D}ynamics for {E}pidemic {S}urveillance and {E}valuation},
   year         = {2024},
   publisher    = {GitHub},
   journal      = {GitHub repository},
   howpublished = {https://github.com/americocunhajr/D-FENSE},
}

License

All material available in this repository is licensed under the terms of the CC-BY-NC-ND 3.0 license.

Institutional support

Funding

         

Contact

For any questions or further information, please contact:

Americo Cunha Jr: americo.cunha@uerj.br