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Syndromic Surveillance for Early Event Detection with Real Time Online Disease Surveillance (RODS) Houston Department of Health and Human Services Wes McNeely MS, MPH, Epidemiology Supervisor (PHP) A.J. Rosario MD, MPH Systems Analyst (PHP)
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Jul 07, 2015

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Page 1: Syndromic surveillance hrsa

Syndromic Surveillance for Early Event Detection with Real Time Online Disease

Surveillance (RODS)

Houston Department of Health and Human Services

Wes McNeely MS, MPH, Epidemiology Supervisor (PHP)A.J. Rosario MD, MPH Systems Analyst (PHP)

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Definition

Syndromic surveillance for early outbreak detection is an investigational approach where health department staff…monitor disease indicators continually (real-time) or at least daily (near real-time) to detect outbreaks of diseases earlier and more completely than might otherwise be possible with traditional public health methods. The distinguishing characteristic of syndromic surveillance is the use of indicator data types.

--Excerpt from MMWR May 7, 2004 / 53(RR05)1-11

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Hardware - PHINPHIN - Public Health Information Network

Server Cluster uses Microsoft Windows Advanced Server 2003 platform

Web Server, Application Server, Database

Database Server hosts Oracle 9i

Resides at HDHHS

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Software - RODS

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Hospital Sends Data Hospital admits patient into Emergency

Room (ER) and generates a computer record of visit

Hospital formats ER admissions record into HL-7 or other “messaging” format

Hospital “message router” uploads record to HDHHS PHIN through a secure Virtual Private Network connection (VPN)

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“Message”

MSH1|^~\&||UPMC(hosp)||RODS|200003171458||ADT^A04|20000317145841029270(message control ID)2|P|2.3|<CR>3PID|||||||^017(age)|M|||^^^^12345^^^^|<CR>PV1||E||D||||||||||||||||||||||||||||||||||||||||200109130045(admittime)||<CR>PV2|||ABDOMINAL PAIN(chief complaint)|<CR>DG1||I9|789.09|ABDOMINAL PAIN-SITE NEC(diagnosis desc.)|<CR>NK1||||^^^^12345^^|||EMP|<CR>IN1||||||||||||||||||||||||||||||||||||||||||||^^^^12345<CR><ETX>4

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RODS Receives Data RODS “listens” for new data uploaded into

folder and “consumes” the message

RODS chops up the text containing the complaint information (“parses the string”)

RODS classifies the chopped up complaint text using “Natural Language Processing” (NLP) into one (1) of seven (7) possible syndromes related to bioterrorism

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Complaint text classification (CoCo)

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Syndrome Classification Accuracy

“The sensitivity of a naive Bayes classifier using triage diagnoses was 0.63, the specificity was 0.94, and the area under the ROC curve was 0.82”.....

“We conclude that a naive Bayes classifier of free-text triage diagnosis data provides more sensitive and earlier detection of cases [than other methods].”

“The sensitivity achieved should be sufficient for syndromic surveillance system designed to detect moderate to large epidemics.”

Ivanov, O., M. M. Wagner, et al. (2002). "Accuracy of three classifiers of acute gastrointestinal syndrome for syndromic surveillance." Proc AMIA Symp: 345-9.

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SyndromesRODS assigns syndromic categories to the complaint

1. Gastrointestinal2. Constitutional3. Respiratory4. Rash5. Hemorrhagic6. Botulinic7. Neurological8. Other

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DatabaseRODS imports the data with syndrome field

added into Oracle 9i database

MSH1|^~\&||UPMC(hosp)||RODS|200003171458||ADT^A04|20000317145841029270(message control ID)2|P|2.3|<CR>3PID|||||||^017(age)|M|||^^^^12345^^^^|<CR>PV1||E||D||||||||||||||||||||||||||||||||||||||||200109130045(admittime)||<CR>PV2|||ABDOMINAL PAIN(chief complaint)|<CR>DG1||I9|789.09|ABDOMINAL PAIN-SITE NEC(diagnosis desc.)|<CR>NK1||||^^^^12345^^|||EMP|<CR>IN1||||||||||||||||||||||||||||||||||||||||||||^^^^12345<CR><ETX>4

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Pretty data

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Pretty data

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Pretty data

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Graphs

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RODS Analyzes the Data

RODS analyzes the data to detect unusual patterns every 4 hours Time Series

Recursive Least Squares (RLS) CuSum Linear Models

Spatial analysis Scan Statistics

Multivariate analysis WSARE (What’s Strange About Recent Events?)

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Alerts

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Output

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Output

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Syndromic Trends

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Graph3 Gastrointestinal

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Graph2 Neurological

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Graph4 Botulinic

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Graph1 Respiratory

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Graph1 RespiratoryBURN-IN PHASE

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Interface Upgrades

Version 4.0

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Upgrades1

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Upgrades2

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Upgrades3

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Upgrades4

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Upgrades5

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Contact Information

[email protected] Specialist

Shola Adeleye, MD, MPH

[email protected] Supervisor

Wes McNeely, MS, MPH

[email protected] Chen, OCA

[email protected] Analyst IVAJ Rosario, MD, MPH

RODS Laboratory

[email protected] 917-254-7278User Interface, Developer

Jeremy Espino, MD

[email protected] ManagerDaphne Henry

HDHHS

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Extra info - RODS Syndromes Botulinic – ocular abnormalities, difficulty speaking,

and difficulty swallowing. Constitutional – non-localized, systemic problems

including fever, chills, body aches, flu symptoms. Gastrointestinal – pain or cramps anywhere in the

abdomen, nausea, vomiting, and diarrhea. Hemorrhagic – bleeding from any site, vomiting

blood, nose bleed, or gastrointestinal bleeding. Neurological – non-psychiatric complaints that

relate to brain function. Rash – any rash such as macular, papular,

vesicular, petechial, purpuric, or hives. Respiratory – problems of the nose, throat, and

lungs. The presence of both clod and flu symptoms is counted in this category, not constitutional.

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Extra info - Sensitivity and Specificity

Test Result+ -

Has

Conditio

n

N

o Y

es

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Extra info - ROC Curve“In signal detection theory, a receiver operating characteristic (ROC) is a graphical plot of the sensitivity (fraction of true positives - TP) vs. 1-specificity (the fraction of false positives - FP) for a binary classifier system as its discrimination threshold is varied.” http://en.wikipedia.org/wiki/ROC_Curve