203262
Enhancing Influenza surveillance with provider collaboration in Houston, Texas; 2007-2008
Tuesday, November 10, 2009: 2:35 PM
Olushola Adeleye, MD MPH
,
Houston Department of Health and Human Services, Bureau of Epidemiology, Houston, TX
Salma Khuwaja, MD, MPH, DrPH
,
Houston Department of Health and Human Services, Bureau of Epidemiology, Houston, TX
Rebecca Ardoin, MPH Candidate
,
Houston Department of Health and Human Services, Bureau of Epidemiology, Houston, TX
Adebowale Awosika-Olumo, MD, MS, MPH
,
Bureau of Epidemiology, City of Houston, Department of Health and Human Services, Houston, TX
Cynthia Turner, MS, SV(ASCP)
,
Houston Department of Health and Human Services, Bureau of Laboratory Services, Houston, TX
Kim Anthony, BS
,
Houston Department of Health and Human Services, Bureau of Laboratory Services, Houston, TX
Sudha Pottumarthy, MD, FRCPA, DABMM
,
Houston Department of Health and Human Services, Bureau of Laboratory Services, Houston, TX
Anthony Greisinger, PhD
,
Kelsey Research Foundation, Houston, TX
Julie Markee, RN, MPH
,
Kelsey Research Foundation, Houston, TX
Melanie Mouzoon, MD
,
Kelsey Research Foundation, Houston, TX
Martin Chin
,
Houston Department of Health and Human Services, Bureau of Epidemiology, Houston, TX
Mary Jane Lowrey
,
Houston Department of Health and Human Services, Bureau of Epidemiology, Houston, TX
Hyewon Lee-Han, PhD
,
Bureau of Epidemiology, Houston Department of Health and Human Services, Houston, TX
Ihuoma Azuike, MPH
,
Bureau of Epidemiology, Houston Department of Health and Human Services, Houston, TX
Structured influenza surveillance is instrumental in estimating the extent and magnitude of influenza morbidity and mortality as well as providing the capacity for early detection and treatment. In December 2007, Houston Department of Health and Human Services (HDHHS) implemented a sentinel provider-based culture surveillance system in addition to its existing passive and syndromic monitoring systems. Thirty (30) providers were randomly selected from the community-based clinical settings using the probability proportional sampling (PPS) method. Providers were trained to conduct rapid flu tests in their clinics and to collect nasopharyngeal swabs for shell-vial rapid culture and real time polymerase chain reaction (RT-PCR) for typing and sub-typing in the HDHHS laboratory. Results are reported to the providers within 24 - 48 hours. In 2007-2008, Influenza A (66.9%) was the most common type detected with Influenza A/H3 being the most prevalent (89.4%) subtype. Influenza A was more prevalent (80.4%) in January. However, the distribution pattern reversed, and in February Influenza B became more prevalent (56.9%). Based on patient interviews, 35.3% of those who tested positive for either flu A or B were vaccinated against flu. Approximately 3% of those vaccinated and who tested culture positive were infected with both influenza A and B. HDHHS was able to monitor, detect and respond to ILI and circulating strains of influenza in the community. Timely reporting of results assisted the providers in better management of patients.
Learning Objectives: 1. Describe methods used by a local health department to detect influenza-like illnesses in a timely manner.
2. Identify the circulating influenza strains during influenza season in a large metropolitan city like Houston.
3. Discuss how provider collaboration enhances surveillance.
Keywords: Surveillance, Infectious Diseases
Presenting author's disclosure statement:Qualified on the content I am responsible for because: I am currently working with the Houston health Department Influenza program. I have been involved in Influenza surveillance and outbreak activities, recruitment of sentinel providers and collaborating on an influenza workgroup with outside partners.
Any relevant financial relationships? No
I agree to comply with the American Public Health Association Conflict of Interest and Commercial Support Guidelines,
and to disclose to the participants any off-label or experimental uses of a commercial product or service discussed
in my presentation.
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