zika

There are 0 repository under zika topic.

• ContentMine / FutureTDM

  Materials of FutureTDM project

  tdmtext-miningcontentmineeupmcjupyter-notebooknetwork-analysistutorialzikadata-miningopen-accessopen-datapandemicepidemicsusutu-virusaedesfuturetdmworkshopoer
  Language:Jupyter Notebook 11

• Emergent-Epidemics / Puerto_Rico_Arbovirus_Data

  Arbovirus and dengue data from Puerto Rico

  denguechikungunyazikafilovirusdatapublic-healthrpuerto-ricosan-juan-puerto-ricoarboviruses
  Language:R 8

• UF-IDD / dengue-Zika-chik_Americas

  denguezikachikungunya
  Language:R 4

• danielhanchen / Markovian_SIR_Deaths_Model

  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 was able to update the probabilities of a virus from spreading from A to B in real time, and I plan to release it to the public next year. I also used Machine Learning and Deep Learning to predict larger long-term virus trends with Google Trends, and this acted as a validator for the MSIRD model.

  zikasirmarkovian-epidemic-processesmarkov-chainsmachine-learning
  Language:Jupyter Notebook 3

• laispfreitas / Colombia_DZC_satscan_velocity

  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.

  chikungunyacolombiadengueepidemiologyrsatscanspatio-temporal-analysiszika
  Language:R 3
• MGSurvE

  Chipdelmal / MGSurvE

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

  crisprdenguegene-drivegenetic-algorithmmalariamosquitoparticle-swarm-optimizationpsopythonzika
  Language:Python 2

• khourious / vgapONT

  Viral genome assembly pipeline for WGS using ONT

  bioinformaticschikungunyagenomicsminionnanopore-sequencingpipelinesars-cov-2viral-genomicswhole-genome-sequencingzika
  Language:Shell 2

• etheleon / deepore

  Nanopore base caller based on original Chiron adding Dropout and SRU

  nanoporeecolideep-learningzikaseq2seqctc-losstensorflowpython
  Language:Python 1

• gkarthik / zika-phylogeography

  Zika Phylogeography

  zikaphylogeographymatplotlibbasemapanimationmaps
  Language:HTML 1

• laispfreitas / PE_satscan

  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.

  zikazika-hotspotpernambucoaedes-borne-diseasessatscanbrazilnortheast-brazilzika-cases
  Language:R 1

• MoniMoledo / cloudberry

  AedesWebview on examples. Interactive Brazilian map for some diseases

  aedeswebviewasterixdbbigdatachikungunyacloudberrydenguefebreamarelamapplay-frameworkscalatwitterzika
  Language:Scala 1

• JeanClaudeR / zikaViz

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

  python-3-5jupyter-notebookwebscrapingzikazika-virus
  Language:Jupyter Notebook 0

• laispfreitas / satscan_dzc

  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.

  rsatscanchikungunyazikadengue
  0

• lraasch / High-dose-african-lineage-zikv-in-pregnant-rhesus-macaques

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

  zikazika-viruszikvmacaque
  0

• pessoadoamor / estudosindromecongenita

  Base de dados estudo de sindrome congenita

  saudezikazika-virussindromecongenita
  Language:HTML 0

• Surya059 / Disease-Monitoring-System

  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.

  simulationepidemicmarkov-decision-processesdiseasemonitoringsystemzika
  Language:Python 0
• WOS-Analysis

  tianrui-qi / WOS-Analysis

  Windows of susceptibility (WOS) analysis for brain diseases including zika and cognitive disorder.

  cognitive-disorderdata-sciencegene-analysisk-means-clusteringlog-oddsmachine-learningmicrocephalymouse-brainpcarrna-seqswot-clockvisualizationzika
  0

• vecnet / zika

  Overcoming uncertainty to enable estimation and forecasting of Zika virus transmission

  zikadjango
  Language:JavaScript 0

• dionmaicon / predict_weka_api

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

  angular4api-serverchikungunyadenguehealthnodepredictionwekazika
  Language:HTML

• ecaldwe1 / zika

  vecnetdjangozika
  Language:JavaScript

• evolbioinfo / zika_Vietnam

  Phylogeographic analyses of ZIKV

  phylogeographyzikazika-virus
  Language:HTML

• thiagoprocaci / zika-virus

  Zika Cases by Country

  rzikakaggle-dataset
  Language:R