Displaying results 1 - 4 of 4
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Online Reports of Foodborne Illness Capture Foods Implicated in Official Foodborne Outbreak Reports
Content Type: Abstract
Traditional surveillance systems only capture a fraction of the estimated 48 million yearly cases of foodborne illness in the United States due to few affected individuals seeking medical care and lack of reporting to appropriate authorities. Non-… read more… due to few affected individuals seeking medical care and lack of reporting to appropriate authorities. … due to few affected individuals seeking medical care and lack of reporting to appropriate authorities. … -
Web Search Query Data to Monitor Dengue Epidemics: a New Model for Dengue Surveillance
Content Type: Abstract
With an estimated 500 million people infected each year, dengue ranks as one of the most significant mosquito-borne viral human diseases, and one of the most rapidly emerging vectorborne diseases. A variety of obstacles including bureaucracy and… read more… A variety of obstacles including bureaucracy and lack of resources have interfered with timely detection and … (1). A variety of obstacles including bureaucracy and lack of resources have interfered with timely detection and … A variety of obstacles including bureaucracy and lack of resources have interfered with timely detection and … -
Anticipatory surveillance for mass gatherings: a novel application of mass media surveillance
Content Type: Abstract
Public health and medical research on mass gatherings (MGs) are emerging disciplines. MGs present surveillance challenges quite different from routine outbreak monitoring, including prompt detection of outbreaks of an unusual … read more… prompt detection of outbreaks of an unusual disease. Lack of familiarity with a disease can result in … prompt detection of outbreaks of an unusual disease. Lack of familiarity with a disease can result in a … prompt detection of outbreaks of an unusual disease. Lack of familiarity with a disease can result in … -
Traveling Epidemic Waves in Biosurveillance Data: Identifying Early Hotspots of Respiratory Illness
Content Type: Abstract
We have previously shown that timeliness of detection is influenced both by the data source (e.g., ambulatory vs. emergency department) and demographic characteristics of patient populations (e.g., age). Because epidemic waves are thought to… read more… referral bias by including the likelihood of a hospital visit based on the market share of a zip code. The model …