J. Med. Internet Res. - Guess who's not coming to dinner? Evaluating online restaurant reservations for disease surveillance.

Tópicos

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Resumo

CKGROUND: Alternative data sources are used increasingly to augment traditional public health surveillance systems. Examples include over-the-counter medication sales and school absenteeism.OBJECTIVE: We sought to determine if an increase in restaurant table availabilities was associated with an increase in disease incidence, specifically influenza-like illness (ILI).METHODS: Restaurant table availability was monitored using OpenTable, an online restaurant table reservation site. A daily search was performed for restaurants with available tables for 2 at the hour and at half past the hour for 22 distinct times: between 11:00 am-3:30 pm for lunch and between 6:00-11:30 PM for dinner. In the United States, we examined table availability for restaurants in Boston, Atlanta, Baltimore, and Miami. For Mexico, we studied table availabilities in Cancun, Mexico City, Puebla, Monterrey, and Guadalajara. Time series of restaurant use was compared with Google Flu Trends and ILI at the state and national levels for the United States and Mexico using the cross-correlation function.RESULTS: Differences in restaurant use were observed across sampling times and regions. We also noted similarities in time series trends between data on influenza activity and restaurant use. In some settings, significant correlations greater than 70% were noted between data on restaurant use and ILI trends.CONCLUSIONS: This study introduces and demonstrates the potential value of restaurant use data for event surveillance.

Resumo Limpo

ckground altern data sourc use increas augment tradit public health surveil system exampl includ overthecount medic sale school absenteeismobject sought determin increas restaur tabl avail associ increas diseas incid specif influenzalik ill ilimethod restaur tabl avail monitor use opent onlin restaur tabl reserv site daili search perform restaur avail tabl hour half past hour distinct time pm lunch pm dinner unit state examin tabl avail restaur boston atlanta baltimor miami mexico studi tabl avail cancun mexico citi puebla monterrey guadalajara time seri restaur use compar googl flu trend ili state nation level unit state mexico use crosscorrel functionresult differ restaur use observ across sampl time region also note similar time seri trend data influenza activ restaur use set signific correl greater note data restaur use ili trendsconclus studi introduc demonstr potenti valu restaur use data event surveil

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