Extracción de características de imágenes satelitales para el análisis de densidad de mosquitos.

Este projeto consiste em uma aplicação Python para extrair dados de municípios brasileiros do Instituto Brasileiro de Geografia e Estatística (IBGE) e dados de casos de dengue do sistema InfoDengue. Os dados são então transformados e carregados em um banco de dados PostgreSQL para análise posterior e criação de um dashboard.

Scripts y datasets para analizar la incidencia de dengue en México utilizando los datos abiertos de la Secretaría de Salud

Criação de dashboard com dados de casos notificados de Dengue e Chikungunya no município de Recife durante os anos de 2020 e 2021

Dashboard construído durante um curso de Power Bi.

Análise dos casos de dengue no Brasil em 2024.

Dashboard construído para análise das notificações dos casos de dengue

Predict the number of dengue fever cases reported weekly in San Juan, Puerto Rico, and Iquitos, Peru, using environmental data to aid in public health initiatives.

Procesamiento y análisis de los datos comprendidos en la simulación del dengue a lo largo de un año.

Visual Analytic Tool for Dengue Serotypes from 1943 to 2020

Mapa com os casos de dengue por bairro na cidade de São Paulo.

This is the official GitHub organization page for Infectious Disease Modelling Lab at SSHSPH, NUS, Singapore led by Dr. Hannah Clapham.

Code and data associated with the paper 'When does humoral memory enhance infection?' to be published in Plos Computational Biology

Python package to optimize mosquito traps' positioning in field trials.

Contains the code for the pypi package to do the data analysis portion of the MGDrivE project.

A project to predict new repurposed drugs for dengue using a biomedical knowledge graph and graph neural networks.

A responsive website with dengue prevention info, cases hot-map, self-test, hospital locator and more...

UN held hackathon that encourage participant develop idea using Data Science to address Global Challenges and help achieve Sustainable Development Goals. Our team submission is creating dengue vulnerability map by create unsupervised machine learning model

Repository for research project: "Climatic understanding of dengue spread in urban landscapes"

Two data frames of different kaggle cases of diesease cases and weather in Brazil. The project aims to clean the DFs and build a new one in order to analyse the correlation of dengue (serious disease transmited by mosquito), rain precipitation and temperature.