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Briefly describe the project goal: 
Attempt to make a model of drug overdosing using a similar manner as the infectious disease modelPerform some machine learning methods on datasets regarding opioid overdoses and see what information we can glean from that
Finding what regression would be best to use
Mention who will be responsible for which parts of the project.

Resources:

Papers of models that have been done for drug abuse:
http://www.emcdda.europa.eu/publications/monographs/modelling_en
https://www.ncbi.nlm.nih.gov/books/NBK64182/
https://www.sciencedirect.com/science/article/pii/003801217790012X

Shows data for drug overdose deaths in the US, comparing 2016 and 2017
https://www.cdc.gov/nchs/products/databriefs/db329.htm

Categorizes data by different drug uses; includes data within certain age groups as well
https://drugabuse.com/statistics-data/

https://github.com/JSaenz4/DrugAbuse/blob/master/data%20miner%20and%20tableau%20resources/workflow.xml

Probably not enough accessible data 
Some data about drug overdoses and over-prescribing
https://www.kaggle.com/apryor6/us-opiate-prescriptions
https://www.kaggle.com/cdc/vsrr-provisional-drug-overdose-death-counts 

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