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Texas ILINet Structure and Operation 2002-2008. 86 th Annual Texas Public Health Association Conference April 21-23, 2010 South Padre Island, Texas Gary Heseltine MD MPH Infectious Disease Control Unit. Chronic Illnesses Demand Chronic Attention. Overview. What is ILINet - PowerPoint PPT Presentation
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Texas ILINet Structure and Operation 2002-2008
86th Annual Texas Public Health Association ConferenceApril 21-23, 2010
South Padre Island, Texas
Gary Heseltine MD MPHInfectious Disease Control Unit
Chronic Illnesses Demand Chronic Attention
Overview
• What is ILINet• What is the structure of ILINet– Where does the data come from– Who is represented
• How does ILINet operate– Data handling– Stability of operation
• Possible Improvements to ILINet
Influenza Like Illness (ILI) Net• CDC hosted syndromic reporting system – Fever > 100o F and cough or sore throat
• Clinicians report weekly– Total number patient visits– Total number of patients diagnosed with ILI• Cases divided into 4 age strata
• Statewide weekly ILI index– Combine data from all clinicians
ILIindex= total ILI patients/total patient visits
Texas ILI Index: What Does It Mean?
ILINet Evolution
Year Reporters ILI Patients Total Visits Counties Report/County
2002 13 1,237 79,852 9 1.44
2003 44 8,232 184,848 31 1.42
2004 69 18,244 517,845 33 2.09
2005 101 24,020 696,806 42 2.40
2006 111 39,607 1,018,809 52 2.13
2007 123 41,963 1,018,790 61 2.02
2008 124 34,335 1,041,898 58 2.14
Total 167,638 4,558,848
Reporters
Total Number of Weekly Submissions by Reporter 2002-2008
Weighting
8
Tuning Surveillance Levels
Weightcounty
Weightblock
Data Viewcounty
Data Viewblock
ILINet Data: Two Issues
1. ILINet data reported to the state does not reflect county populations– Weight county contributions to reflect underlying
population proportion– Use sampling index to guide resource allocation and
recruiting for ILINet to obtain proportionality
2. Sampling method itself: non-probability– Clinicians (reporters) are volunteers- bias– Convenience sample - bias– Use a probability sample to correct for ILINet sampling
bias before submission to the state
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