Influenza infection results in an estimated 31 million outpatient visits, 55,000 to 974,200 hospitalizations, and 3,000 to 49,000 deaths. Membership in household in which someone else has influenza is the major risk factor for contracting influenza. The household secondary attack rate (SAR) is as high as 19% based on laboratory-confirmed influenza and 30% based on symptoms. Non-pharmaceutical preventive measures, including education, may play a role in decreasing transmission, but are only effective if started within 36 hours of symptom onset in index cases. Yet, most interventions are delayed because they are not initiated until care is sought. The investigators have demonstrated in one primarily Latino, urban community sample, that text messaging can be used to rapidly identify community members with influenza-like illness (ILI) early in an illness. This early identification would enable implementation of an educational intervention in the optimal time frame to reduce influenza transmission. Providing education within a text message is a proven successful strategy to influence behavior. Text messaging itself is scalable, low-cost, and can be used in low literacy populations. However, using text-message based surveillance to trigger a real-time text-message behavioral educational intervention to decrease household influenza transmission has not been assessed.
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Number of Laboratory-confirmed Influenza Infections
Timeframe: Up to 5 days