Att D - SAS vs EpiInfo

SAS Attachment D_SAS vs EpiInfo Comparison_draft.docx

Surveys of State, Tribal, Local and Territorial (STLT) Governmental Health Agencies

Att D - SAS vs EpiInfo

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Attachment D – SAS vs EpiInfo Comparison_draft

SAS and Epi Info Comparison


SAS and Epi Info were compared across seven broad categories: users, purpose, strategic plan alignment, capabilities, computing platforms, (social) networking, and educational support.

Conclusion: Epi Info is a subset of SAS within each of these categories, and Epi Info would not adequately support the overall public health program and science mission of the agency.

Category

SAS

Epi Info

Users

Intended Users

Communications, Education, Government, Health Care Providers, Health Insurance, Life Sciences (~2600 at CDC)

Physicians, nurses, epidemiologists, and other public health workers lacking a background in information technology (~ 600 of 2600 CDC SAS users)

Purpose

Purpose

An integrated environment for predictive and descriptive modeling, data mining, text analytics, forecasting, optimization, simulation, and experimental design for collection, classification, analysis, and interpretation of data

Simple tools for rapid creation of data collection instruments and data analysis, visualization, and reporting using epidemiologic methods

CDC IT Strategic Plan

Tools and capabilities to model, analyze, and graphically address complex scientific challenges for CDC scientists

Strong

Weak


Implement and integrate science with public health program execution for a comprehensive approach to operations (e.g., LIMS, laboratory automation and networking, and biocomputing)

Strong

Weak


IT tools for knowledge sharing, creation, communication, and delivery of health information and interventions

Strong

Weak

Capability

Big Data: Data collection and management, Data analytics, E-science collaboration environments

Yes

No


Database Connectivity

Strong (n=22)

Weak (n=3)


Business Intelligence

Strong

Weak


CDC Research Data Center Support

Yes

No


Data collection, advanced statistical analyses, GIS mapping capability

Strong

Moderate-to-weak


Analytical Tools: Exploratory, Custom, or Customizable

Strong

Moderate-to-weak

Platforms

Server (CSP/Grid Computing, Windows, Unix)

Yes

No


Desktop (Windows, Apple)

Both

Windows


Formal User Certifications

Yes

No

Shape1

Source: CDC unpublished data


Academic Course Offerings and Degree Coursework (K-12, Higher Education)

Yes

No

Networking

Social Network

Yes

Yes


Web sites devoted to analyzing Popularity of Data Analysis Software

Yes

No


Google PageRank (1-10)

High (8)

Moderately High (7)


Code Sharing

Yes

Yes

Shape2

Source: CDC unpublished data


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File Typeapplication/vnd.openxmlformats-officedocument.wordprocessingml.document
File TitleMeeting Agenda
AuthorJohn Araujo
File Modified0000-00-00
File Created2021-01-31

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