Epidemiology, Graphs, News

Custom Epidemiological Charts: Mix 36,000+ Graphs for Quick Insights on Prevalence, Mortality, and Vaccine Coverage

Author Chandana Balasubramanian, 08-11-2021

Table of contents

GIDEON Quantify module displaying charts on two different devices

 

written by Chandana Balasubramanian

Epidemiologists, you can now get to your insights faster with the Quantify tool – GIDEON Informatics’ latest addition to their comprehensive infectious disease database. Many people may not realize that an epidemiologist’s work is like that of a swan. Swans may glide smoothly on a lake, but their elegance is fueled by furious and relentless pedaling under the water. Similarly, readers can peruse infectious disease journals quickly. However, these publications are the culmination of years, and even decades, of extensive and meticulous data collection and analytics.

The Quantify module is a handy resource for busy epidemiologists in all research areas. It is applicable whether you study the epidemiology of emerging infectious diseases, disease surveillance in Africa, hepatitis C infections worldwide, the impact of lymphatic filariasis in Asia or pertussis vaccination efforts in France, and much more.

 

Quantify Runs on The Popular GIDEON Epidemiological Database

With the Quantify module, you and your research teams can customize over 36,000 individual graphs into unique charts on disease prevalence, prevalence rates, mortality, and vaccine coverage (when applicable). This means less time cleaning, organizing, and validating each chart and more time for higher-level understanding.

Quantify draws from the robust GIDEON infectious disease database for deeper epidemiological insights. With 838,000+ data points across 235 countries and territories, the GIDEON database covers over 361 infectious diseases. All GIDEON charts feature a modern aesthetic that helps elevate the look and feel of your final submission. Additionally, since the database is updated daily, it is easy to refresh your charts right before your presentation or paper submission.

 

How to Compare and Visualize Epidemiological Trends Using GIDEON’s Quantify?

The Quantify module makes it easy for you to compare spatiotemporal datasets worldwide. For example, to demonstrate the measurable success of Wild Polio eradication efforts, you can generate a chart showing the decline in cases worldwide. Quantify can generate this chart for you in one step.

 

 

Image: Chart showing Wild Poliomyelitis cases worldwide from 1996 to 2020. Copyright © GIDEON Informatics, Inc.

Image: Chart showing Wild Poliomyelitis cases worldwide from 1996 to 2020. Copyright © GIDEON Informatics, Inc.

 

As another example, what if you want a chart comparing Dengue deaths in India, Indonesia, and Malaysia?

Image: Chart comparing dengue deaths in India, Indonesia, and Malaysia. Copyright © GIDEON Informatics, Inc.

Image: Chart comparing Dengue deaths in India, Indonesia, and Malaysia. Copyright © GIDEON Informatics, Inc.

 

Here’s how easy it is to create this custom epidemiological graph using Quantify:

Step 1: Select the disease

Step 2: Add the countries you wish to compare. You have the option to see worldwide data.

Step 3: Select the type of chart you need – prevalence, prevalence rates (per 100,000 population), deaths, or vaccine coverage.

 

Image: 3 easy steps to create custom epidemiology charts using the Quantify tool. Copyright © GIDEON Informatics, Inc.

Image: 3 easy steps to create custom epidemiology charts using the Quantify tool. Copyright © GIDEON Informatics, Inc.

 

 

Simplify your research with Quantify

Would you like to learn how GIDEON Informatics and the Quantify tool can help you optimize your epidemiological research?

Book a demo with us to get started!

 

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Author
Chandana Balasubramanian

Chandana Balasubramanian is an experienced healthcare executive who writes on the intersection of healthcare and technology. She is the President of Global Insight Advisory Network, and has a Masters degree in Biomedical Engineering from the University of Wisconsin-Madison, USA.

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