CyberGIS-HIV
==================================================================
**CyberGIS-HIV is a Web-based GIS application that visualizes and predicts spatiotemporal patterns of HIV rates in US counties. On the graphical user interface, users can run the model on the fly. As an output of the model, spatiotemporal patterns of estimated HIV rates and key HIV predictors are visualized via the interactive coordinated and multiple views. CyberGIS-HIV enables forecasting how future HIV rates change as HIV predictors (e.g., Pre-exposure prophylaxis (or PrEP) use rate or HIV test rate) change.**
Video Tutorials
---------------
1. Log into CyberGISX
.. video:: videos/Part1_Log_into_CyberGISX.mp4
:width: 500
:height: 300
2. Run CyberGIS-HIV
.. video:: videos/Part2_Run_CyberGIS_HIV.mp4
:width: 500
:height: 300
3. Explore the spatial patterns.
.. video:: videos/SAM_Video3_MLCmaps.mp4
:width: 500
:height: 300
4. Explore the temporal patterns.
.. video:: videos/SAM_Video4_MLCchart.mp4
:width: 500
:height: 300
Getting Started
------------------------------------------------------
If you do not have a CyerGISX account, create a CyberGISX account.
https://cybergisxhub.cigi.illinois.edu
After you log in, go to the 'Discovery' tab and find the 'CyberGIS-HIV' project.
Click on the 'Open with CyberGISX' button. The CyberGIS-Jupyter page would automatically start running.
.. image:: images/cybergisx.png
:width: 800
:alt: cybergisx_loading
:target: index.html
When the page is fully loaded, click on the first code block and run it by clicking on the 'Run' button or using the CTRL+ENTER key.
.. image:: images/cybergisx2.png
:width: 800
:alt: cybergisx_loading
:target: index.html
After the first code block is completed, run the second code block.
.. image:: images/cybergisx4.png
:width: 800
:alt: cybergisx_loading
:target: index.html
Related Resources
------------------
* `CyberGISX `_
* `Leaflet `_
* `PlotlyJS `_
* `D3 `_
* `GEOSNAP VIZ `_
Contributors
-----------------
Su Yeon Han \ :sup:`1`, Chaeyeon Han\ :sup:`1`, Chang Liu\ :sup:`1`, Jinwoo Park\ :sup:`1`, Nattapon Jaroenchai\ :sup:`1`, Zhiyu Li\ :sup:`1`, Shaowen Wang\ :sup:`1`, Bita Fayaz Farkhad\ :sup:`2`, Man-pui Sally Chan\ :sup:`2`, Danielle Sass\ :sup:`3`, Bo Li\ :sup:`1`, Dolores Albarracin\ :sup:`2`
1. University of Illinois Urbana-Champaign
2. University of Pennsylvania
3. Northwestern University
License
---------------
This project is licensed under the Apache License 2.0 - see the `LICENSE `_ file for details.
Funding
---------------
This project is supported by NIH project# R01AI147487-01: Development and Validation of Regional Models of HIV Vulnerabilities and Solutions
.. table of contents
.. --------------------------------------------
.. toctree::
:maxdepth: 2
:hidden:
:caption: Quick Start
Get Started
parameters
.. toctree::
:maxdepth: 3
:hidden:
:caption: Visualization Modules
showcase
.. toctree::
:maxdepth: 3
:hidden:
:caption: Model Specifications
model
data_table
.. toctree::
:hidden:
:maxdepth: 1
:caption: Additional Resources
GitHub Repository
CyberGISX