Identification

Name

Predicting Infectious Disease Scalable Model

Short name

PRISM

Contact people
(1) Anna Buczak, anna.buczak@jhuapl.edu
Created

2014-01-24 21:21:08+00:00

Modified

2016-03-23 17:37:49.000571+00:00

Overview

Types
(1) Risk Mapping
Overview

Prism's distinctive prediction method utilizes Fuzzy Association Rule Mining (FARM) to extract relationships between multiple variables in a data set. These relationships form rules, and when the best set of rules is automatically chosen, a classifier is formed. The classifier is then used to predict future incidence of the disease.

Question

Is it possible to accurately predict dengue outbreaks in resource limited areas using local and remote sensing data?

Purpose

Prediction

Scope

Disease and Location

Goals
(1) Early detection
(2) Early warning
Decision support

Unknown

Based on
Methods
(1) Machine learning/Fuzzy association rule mining
Products
(1) Disease incidence
Documents
(1) Document Buczak AL, Koshute PT, Babin SM, Feighner BH, Lewis SH: A data-driven epidemiological prediction… (2012)
Notes

Application

Diseases
(1) Dengue
Locations
(1) Location Peru
Status current

Utility and readiness

Maintenance status

Active

Readiness

Deployed

Organizations
(1) Organization Global Emerging Infections Surveillance and Response System
Role Funding support

Input

Input datasets
(1) Name Demographics
Category Established Databases
Subject
URL http://www.inei.gob.pe/
Notes
(2) Name Land Processes Distributed Active Archive Center
Category Established Databases
Subject
URL https://lpdaac.usgs.gov/
Notes
(3) Name NOAA - National Centers for Environmental Information
Category Established Databases
Subject
URL https://www.ngdc.noaa.gov/ngdcinfo/onlineaccess.html
Notes
(4) Name Rainfall
Category Established Databases
Subject
URL http://mirador.gsfc.nasa.gov
Notes
(5) Name Southern Oscillation Index
Category Established Databases
Subject
URL http://mirador.gsfc.nasa.gov/
Notes
(6) Name World Bank
Category Established Databases
Subject
URL http://data.worldbank.org/
Notes