En este repositorio comparto para toda la comunidad mis proyectos de Ciencia de Datos desarrollados en Acámica, como requisito para obtener la certificación.
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Updated
May 27, 2021 - Jupyter Notebook
En este repositorio comparto para toda la comunidad mis proyectos de Ciencia de Datos desarrollados en Acámica, como requisito para obtener la certificación.
R script used for the paper "Space-time dynamics of a triple epidemic: dengue, chikungunya and Zika clusters in the city of Rio de Janeiro", by Laís P. Freitas, Oswaldo G. Cruz, Rachel Lowe and Marilia S. Carvalho.
Repository for research project: "Climatic understanding of dengue spread in urban landscapes"
Extracción de características de imágenes satelitales para el análisis de densidad de mosquitos.
COMP0257 - SISTEMAS DE APOIO À DECISÃO - (2018.1 - T01): Projeto da disciplina SAD, cujo objetivo é criar um mapa de calor para visualizar como está a distribuição geográfica dos focos de dengue. Para apoiar a decisão de execução dos programas de prevenção da doença.
A Custom Variant Calling Pipeline for Dengue WGS (BWA + GATK + Lofreq) using nextflow and docker
Análise dos casos de dengue no Brasil em 2024.
Code and data associated with the paper 'When does humoral memory enhance infection?' to be published in Plos Computational Biology
This is the official GitHub organization page for Infectious Disease Modelling Lab at SSHSPH, NUS, Singapore led by Dr. Hannah Clapham.
To know more about our research, please read our journal through the given link.
API NODE for improved J48 Classification Tree for the Prediction of Dengue, Chikungunya or Zika.
DeepDengue is a collection of deep learning models trained for the estimation of dengue fever cases in geographic locations, using only street-level and aerial images as input.
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
API em Flask para auxílio no diagnóstico de pacientes com Dengue.
Análise de dados de 2022 do InfoDengue no Rio Grande do Norte
These codes are specific to Singapore. Given a dataset about dengue occurrences in Singapore, alongside data of a particular region's temperature and rainfall, we are to attempt to train a model that could predict dengue occurrences in the future, given just the rainfall and temperature as well.
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