Base de dados estudo de sindrome congenita

API NODE for improved J48 Classification Tree for the Prediction of Dengue, Chikungunya or Zika.

We proposed and implemented a model of how an epidemic spreads based on the interactions recorded, among humans. The system was assumed as a Markov process where the hidden variable is the state of the person, transition between the states was done by the interactions. These interactions will be detected by using RFID technology in smart phones.

Dataviz around the Zika virus outbreaks in 2018/2019. Demo of web scraping using Python (lxml)

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.

Phylogeographic analyses of ZIKV

Overcoming uncertainty to enable estimation and forecasting of Zika virus transmission

Github repository for the manuscript entitled "High dose African lineage Zika virus is associated with severe adverse fetal outcomes in pregnant rhesus macaques"

Windows of Susceptibility Analysis for Brain Diseases

Zika Cases by Country

This repository includes the codes and data used for the study: "Identifying hidden Zika hotspots in Pernambuco, Brazil: A spatial analysis", by: Laís P Freitas, Rachel Lowe, Andrew E Koepp, Sandra A Valongueiro, Molly Dondero, Leticia J Marteleto.

AedesWebview on examples. Interactive Brazilian map for some diseases

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

Nanopore base caller based on original Chiron adding Dropout and SRU

Viral genome assembly pipeline for WGS using ONT

Zika Phylogeography

I noticed that traditional methods to predict a disease outbreak was by performing sentiment analysis on Twitter posts and Google Search terms. Unfortunately, these methods were inadequate, as Twitter and Google is not popular in all countries. So, I created a system to model and predict outbreaks without the need for social media. The system wa…

This repository includes the codes and data used in the study: "Spatio-temporal clusters and patterns of spread of dengue, chikungunya, and Zika in Colombia", by Laís Picinini Freitas, Mabel Carabali, Mengru Yuan, Gloria I. Jaramillo-Ramirez, Cesar Garcia Balaguera, Berta N. Restrepo, and Kate Zinszer.