https://github.com/shauryauppal/diseasetrendsgoogle
Disease Trends of anywhere in the World
https://github.com/shauryauppal/diseasetrendsgoogle
disease disease-spread exponential-moving-average google pytrend real-time timeseries trending trends
Last synced: about 2 months ago
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Disease Trends of anywhere in the World
- Host: GitHub
- URL: https://github.com/shauryauppal/diseasetrendsgoogle
- Owner: shauryauppal
- License: apache-2.0
- Created: 2019-03-16T20:24:25.000Z (over 7 years ago)
- Default Branch: master
- Last Pushed: 2019-05-25T19:54:48.000Z (about 7 years ago)
- Last Synced: 2025-01-14T03:52:08.838Z (over 1 year ago)
- Topics: disease, disease-spread, exponential-moving-average, google, pytrend, real-time, timeseries, trending, trends
- Language: Jupyter Notebook
- Size: 189 KB
- Stars: 1
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# DiseaseTrendsGoogle
Disease Trends of anywhere in the World
*Requirements*: `pip install pytrends`
# How to use?
## Location = 'IN-DL'
+ If you want to find trends for any other country or city just change the Location in Main()
## Change AcuteDisease.txt
If you want to find Trends for Different Diseases just change the input in the file.
## To see Trends for Large Population | Keep these lines Uncommented
print("Relative Score Graph")
show_graph_rel(rel_trend_score_sorted, top_n)
## To simply find Top 5 trending Disease | Keep these lines Uncommented and comment the above lines
print("Trends Score Graph")
show_graph(trend_score_sorted, top_n)
#### Hypothesis: A disease is defined here Trending based on it's Search Interest. More search by people for a disease would we done when a large number of people are suffering from a disease.
### Author
Shaurya Uppal [shauryauppal00111@gmail.com]