Making the DAEN information accessible.

Overview

AccessibleAdverseEventNotification

Making the DAEN information accessible.

The purpose of this repository is to make the information on Australian COVID-19 adverse events accessible. The Therapeutics Goods Administration (TGA) keeps a database of adverse reactions to medications including the COVID-19 vaccines. This Database of Adverse Event Notifications (DAEN) is available to the public via this awful web interface. The most recent two weeks is never available.

The DAEN website doesn't provide information in a format that might be useful for analysis. Instead you have to scrape the information by entering each individual day and collecting the results from two tables which might span multiple pages. I've already done that and the code is here (this code isn't great, but it is good enough to get the job done).

Please be aware that the numbers reported in DAEN are probably significantly less than the actual number of adverse events and deaths. As the DAEN website states:

Adverse event reports from consumers and health professionals to the TGA are voluntary, so there is under-reporting by these groups of adverse events related to therapeutic goods in Australia. This is the same around the world.

The scraped data is found in the data directory. These files are tab separated files which you can easily import in to a spreadsheet program. All of the files are only for COVID-19 vaccines.

  • DAEN_webscrape_simple.txt This file shows the date (twice for reasons that made sense at the time, but don't necessarily make sense anymore), the number of cases reported that day, the number of cases with a single suspected medicine for that day, and the number of deaths reported that day.
  • DAEN_webscrape_medsummary.txt This file gives a daily count of each adverse event category. Please note that if one patient had multiple adverse events, then each event would be counted in the appropriate category.
  • DAEN_webscrape_listofreports.txt This file provides the individual reports and includes sex and age (when recorded).

Figure 1 shows some of the basic information such as number of adverse events and deaths reported each day for the COVID-19 vaccines, myocarditis, pericarditis and the more general term cardiac disorder.

Figure 1 Figure 1.

Figure 2 shows a histogram of reported cases of myocarditis and pericarditis from the COVID-19 vaccine. Please note that the age group 10-19 is somewhat distorted as the age 10-11 should not receive the vaccine (although there are cases of 8 year olds getting the vaccine when that should not have occurred). This age group also has a significantly lower uptake than other age groups.

Figure 2 Figure 2.

Figures 3 and 4 plot the reports of myocarditis by age grouped by sex or manufacturer respectively. Figures 5 and 6 are the same for pericarditis. A '-' is used where an age was not given in the report.

Figure 3 Figure 3.

Figure 4 Figure 4.

Figure 5 Figure 5.

Figure 6 Figure 6.

Figure 7 shows how the histogram for myocarditis has progressed over time.

Figure 7
Figure 7.

Figure 8 shows the death rate of people in Australia who contracted COVID-19. Data taken from health.gov on 1/12/2021. Bottom graph is zoomed in to 1% to see what is happening with those under the age of 60.

Figure 8
Figure 8.

Datashredder is a simple data corruption engine written in python. You can corrupt anything text, images and video.

Datashredder is a simple data corruption engine written in python. You can corrupt anything text, images and video. You can chose the cha

2 Jul 22, 2022
Parses data out of your Google Takeout (History, Activity, Youtube, Locations, etc...)

google_takeout_parser parses both the Historical HTML and new JSON format for Google Takeouts caches individual takeout results behind cachew merge mu

Sean Breckenridge 27 Dec 28, 2022
track your GitHub statistics

GitHub-Stalker track your github statistics 👀 features find new followers or unfollowers find who got a star on your project or remove stars find who

Bahadır Araz 34 Nov 18, 2022
In this tutorial, raster models of soil depth and soil water holding capacity for the United States will be sampled at random geographic coordinates within the state of Colorado.

Raster_Sampling_Demo (Resulting graph of this demo) Background Sampling values of a raster at specific geographic coordinates can be done with a numbe

2 Dec 13, 2022
Pizza Orders Data Pipeline Usecase Solved by SQL, Sqoop, HDFS, Hive, Airflow.

PizzaOrders_DataPipeline There is a Tony who is owning a New Pizza shop. He knew that pizza alone was not going to help him get seed funding to expand

Melwin Varghese P 4 Jun 05, 2022
My first Python project is a simple Mad Libs program.

Python CLI Mad Libs Game My first Python project is a simple Mad Libs program. Mad Libs is a phrasal template word game created by Leonard Stern and R

Carson Johnson 1 Dec 10, 2021
cLoops2: full stack analysis tool for chromatin interactions

cLoops2: full stack analysis tool for chromatin interactions Introduction cLoops2 is an extension of our previous work, cLoops. From loop-calling base

YaqiangCao 25 Dec 14, 2022
INF42 - Topological Data Analysis

TDA INF421(Conception et analyse d'algorithmes) Projet : Topological Data Analysis SphereMin Etant donné un nuage des points, ce programme contient de

2 Jan 07, 2022
An orchestration platform for the development, production, and observation of data assets.

Dagster An orchestration platform for the development, production, and observation of data assets. Dagster lets you define jobs in terms of the data f

Dagster 6.2k Jan 08, 2023
EOD Historical Data Python Library (Unofficial)

EOD Historical Data Python Library (Unofficial) https://eodhistoricaldata.com Installation python3 -m pip install eodhistoricaldata Note Demo API key

Michael Whittle 20 Dec 22, 2022
Intake is a lightweight package for finding, investigating, loading and disseminating data.

Intake: A general interface for loading data Intake is a lightweight set of tools for loading and sharing data in data science projects. Intake helps

Intake 851 Jan 01, 2023
Zipline, a Pythonic Algorithmic Trading Library

Zipline is a Pythonic algorithmic trading library. It is an event-driven system for backtesting. Zipline is currently used in production as the backte

Quantopian, Inc. 15.7k Jan 07, 2023
BigDL - Evaluate the performance of BigDL (Distributed Deep Learning on Apache Spark) in big data analysis problems

Evaluate the performance of BigDL (Distributed Deep Learning on Apache Spark) in big data analysis problems.

Vo Cong Thanh 1 Jan 06, 2022
Common bioinformatics database construction

biodb Common bioinformatics database construction 1.taxonomy (Substance classification database) Download the database wget -c https://ftp.ncbi.nlm.ni

sy520 2 Jan 04, 2022
Statistical package in Python based on Pandas

Pingouin is an open-source statistical package written in Python 3 and based mostly on Pandas and NumPy. Some of its main features are listed below. F

Raphael Vallat 1.2k Dec 31, 2022
A tax calculator for stocks and dividends activities.

Revolut Stocks calculator for Bulgarian National Revenue Agency Information Processing and calculating the required information about stock possession

Doino Gretchenliev 200 Oct 25, 2022
PyEmits, a python package for easy manipulation in time-series data.

PyEmits, a python package for easy manipulation in time-series data. Time-series data is very common in real life. Engineering FSI industry (Financial

Thompson 5 Sep 23, 2022
MetPy is a collection of tools in Python for reading, visualizing and performing calculations with weather data.

MetPy MetPy is a collection of tools in Python for reading, visualizing and performing calculations with weather data. MetPy follows semantic versioni

Unidata 971 Dec 25, 2022
Py-price-monitoring - A Python price monitor

A Python price monitor This project was focused on Brazil, so the monitoring is

Samuel 1 Jan 04, 2022
Orchest is a browser based IDE for Data Science.

Orchest is a browser based IDE for Data Science. It integrates your favorite Data Science tools out of the box, so you don’t have to. The application is easy to use and can run on your laptop as well

Orchest 3.6k Jan 09, 2023