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We are excited to introduce the GIDEON R Package, released as a beta test for our users worldwide. GIDEON R is an efficient plug-and-play statistical tool for cleaning, analyzing, and visualizing epidemiological data and epidemiologic research from the GIDEON database. There is no need to program your own REST API queries. Our public health expertise is unlike any other public health application and our epidemiological data analysis is second to none.
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Over 189 scientific studies that leveraged GIDEON’s software were published in just the past three years. This number is rapidly growing as many investigators turn to the extensive infectious disease library for epidemiological insights and cross-discipline studies.
The GIDEON database is a valuable web-based reference of infectious diseases and their global occurrences since the 1900s. As of 2020, researchers also get to customize and build their statistical tools to analyze data using the GIDEON API or Application Programming Interface (API).
While GIDEON’s massive global database of infectious diseases and the GIDEON API are potent tools with a variety of functions, GIDEON R allows you to boost your analytics to the next level.
R, the free, open-source programming language for statistical analysis software, has transformed how investigators prep, clean, and wrangle large databases to get good information. With minimal coding required, you can clean and set up faster and conduct reproducible steps during statistical analysis.
R is quickly gaining in popularity with researchers. R programming is a part of the standard analytics curriculum in universities like Harvard and the Imperial College in London. It is fast becoming a mainstay in Public Health and epidemiological research studies and reports. In the UK, the O Health foundation, an independent charity, developed an NHS-R community to help leverage the power of R for the NHS (National Health System). Teams of experts trained NHS analysts to use and embed R into the NHS to help improve the delivery of care.
Using the GIDEON R package brings you more efficiency to:
The GIDEON R package brings all the convenience and efficiency of the free, open-source programming language R to the world of epidemiology.
Benefits of using GIDEON R include…
There is no need to learn how to work with a REST API client to parse the GIDEON database. With GIDEON R, you can hit the ground running and start crunching your data.
Working with a GIDEON REST API offers you greater and complete control over how your program manipulates data. However, it requires users to possess programming skills and may also mean an investment in rigorous manual and automatic testing to ensure it functions well under pressure. Your team will need to spend considerable time testing, sequencing API calls correctly, validating parameters, and fixing any other issues before beginning the analysis. GIDEON R gives researchers familiar with R the ability to skip this part of the process and get straight to the analytics.
GIDEON R allows you to create scripts for your entire analysis process and run a simulation. This way, even if you make a mild edit to the data, the whole process can be run again with the reassurance of reproducibility. As an investigator, you can then focus on developing and analyzing different runs without worrying about the analytical or statistical method changing.
Epidemiology research is complex and challenging. No two studies will ever be precisely the same. R offers a considerable toolkit of statistical modeling tools that epidemiologists require, including logistic and Poisson regression and Cox proportional hazard models.
With R, stats come to life. Using R for visualization is like the famous scene in the classic movie ‘The Wizard of Oz’ when Dorothy steps out of her dull black and white house and into the dazzling technicolor land of Oz.
R can create any type of graph or charts – fast ones for analysis and even publication-ready charts with minimum code. R offers in-built functions and libraries to generate basic maps like bar charts, histograms, and scatter plots. It can also create advanced visualization tools like heat and mosaic maps, 3D graphs, or correlograms in vivid technicolor for your exploratory data analysis, presentations, and publications.
R runs on everything. R’s code is platform-independent – which means it does not matter if you use Windows, Mac, or any other system. So, with GIDEON R, you can be sure that your program is compatible with any type of platform you or your team use. This is a significant benefit when working with teams located in different regions and across the globe.
GIDEON R optimizes how investigators use the GIDEON API to mine the GIDEON infectious disease database.
The GIDEON API allows medical professionals and researchers pressed for time and resources access to global data on hundreds of diseases, drugs, and bacteria – since 1348 AD.
With the GIDEON API, you get a direct feed of infectious disease data from around the world at your fingertips. The GIDEON API is based on RESTful principles, and data is refreshed and updated every day, sometimes even multiple times a day.
The best part? All institutional subscribers to GIDEON get access to the GIDEON API free of charge.
According to Professor Rodolphe Desbordes, Professor of Economics at SKEMA Business School, France, and widely published in International Economics and Economic Development:
“GIDEON was the perfect database for the epidemiological project I had in mind <…> the information provided on each disease was crucial to a better understanding of disease-specific characteristics.“
GIDEON has a rich history of partnering with researchers and scientists worldwide by offering a wide variety of resources on infectious diseases. You can find data going back to 1348 AD, track outbreaks on an interactive map, identify over 2000+ pathogens, diagnose and compare any number of infectious diseases, drugs, and microbes.
The GIDEON database contains 23,600 country-specific notes with 3+ million words of text that outline the status of specific infections within each country. Also featured are over 250,000 linked references, 3,000 images, 34,000 graphs, and numerous interactive maps.
There are more than 189 studies published in just the past three years that use GIDEON’s database to generate meaningful insights. Here are a few of the recent articles published that used GIDEON for their research:
Want to be an early user and test GIDEON R?
GIDEON is one of the most well-known and comprehensive global public health databases for infectious diseases. Data is refreshed daily, and the GIDEON API allows medical professionals and researchers access to a continuous stream of data.
The GIDEON R package allows researchers to retrieve, clean, analyze, and visualize infectious disease data in real-time from the GIDEON database without the need to get familiar with API clients and learn to program their own API queries. This improves the efficiency and reproducibility of research methods and results and lowers the time and costs required to learn how to work with REST APIs.
GIDEON is one of the most well-known and comprehensive global databases for infectious diseases. Data is refreshed daily, and the GIDEON API allows medical professionals and researchers access to a continuous stream of data. Whether your research involves quantifying data, learning about specific microbes, or testing out differential diagnosis tools– GIDEON has you covered with a program that has met standards for accessibility excellence.
You can also review our eBooks on Mycetoma, Relapsing fever, Sarcocystosis, and more. Or check out our global status updates on countries like Sao Tome and Principe, Cayman Islands, Falkland Islands, and more!
|||A. A.-S. e. al., “Worldwide dynamic biogeography of zoonotic and anthroponotic dengue,” PLoS Negl. Trop. Dis., vol. 15, no. 6, p. e0009496, 2021.|
|||F. Chávez-Ruvalcaba, M. I. Chávez-Ruvalcaba, M. K. Santibañez, J. L. Muñoz-Carrillo, C. A. León and R. R. Martínez, “Foodborne Parasitic Diseases in the Neotropics – a review,” Helminthologia, vol. 58, no. 2, pp. 119-133, 2021.|
|||M. Brzozowska, A. Wierzba, A. Śliwczyński, M. Myśliwiec, K. Kozłowski and W. Wierzba, “The problem of Lyme borreliosis infections in urban and rural residents in Poland, based on National Health Fund data,” Annals of Agricultural and Environmental Medicine, vol. 28, no. 2, p. 277–282, 2021.|
|||K. Cruz, T. M. Corey, M. Vandenplas, M. Trelis, A. Osuna and P. J. Kelly, “Case report: Control of intestinal nematodes in captiveChlorocebus sabaeus,” Onderstepoort Journal of Veterinary Research, vol. 88, no. 1, pp. 2219-0635, 2021.|
|||H. A. Rahdar, S. Mahmoudi, A. Bahador, F. Ghiasvand, H. Sadeghpour and M. M. Feizabadi, “Molecular identification and antibiotic resistance pattern of actinomycetes isolates among immunocompromised patients in Iran, emerging of new infections,” Scientific Reports, vol. 11, 2021.|
|||H. Battikh, A. Berriche, R. Zayoud, L. Ammari, R. Abdelmalek, B. Kilani, H. Tiouiri Ben Aissa and M. Zribi, “Clinical and laboratory features of brucellosis in a university hospital in Tunisia,” Infectious Diseases Now, 2021.|
|||R. Desbordes, “Spatial dynamics of major infectious diseases outbreaks: A global empirical assessment,” Journal of Mathematical Economics, vol. 93, 2021.|
|||S. Morand and C. Lajaunie, “Outbreaks of Vector-Borne and Zoonotic Diseases Are Associated With Changes in Forest Cover and Oil Palm Expansion at Global Scale,” Front. Vet. Sci., vol. 8, p. 230, 2021.|
|||R. e. al., “Data proliferation, reconciliation, and synthesis in viral ecology,” bioRxiv, 2021.|