Displaying results 41 - 48 of 4158
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Analysis of Dengue in Department of Veterans Affairs (VA) Patients in Puerto Rico
Content Type: Abstract
The Veterans Health Administration (VHA) is the VA organization responsible for providing healthcare to over 5 million patients annually at 153 medical centers and over 900 outpatient clinics across the United States and U.S. territories. The VA… read more -
Applications of the ESSENCE Desktop Edition for Outbreak Detection in a Resource-Limited Setting
Content Type: Abstract
Recent events have focused on the role of emerging and re-emerging diseases not only as a significant public health threat but also as a serious threat to the economy and security of nations. The lead time to detect and contain a novel emerging… read more -
Dengue Fever Outbreak Prediction
Content Type: Abstract
Dengue fever is endemic in over 100 countries and there are an estimated 50 - 100 million cases annually. There is no vaccine for dengue fever yet, and the mortality rate of the severe form of the disease, dengue hemorrhagic fever, ranges from 10-20… read more -
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 -
Novel approach to hypoglycemia surveillance in an international online diabetes social network
Content Type: Abstract
Hypoglycemia is a serious sequela of diabetes treatment that is not tracked by current health surveillance efforts despite substantial related morbidity and mortality. We take a novel approach to hypoglycemia surveillance, engaging members of an… read more -
Mapping the uncertainty of non-contagious disease clusters boundaries in Brazil
Content Type: Abstract
The intrinsic variability that exists in the cases counting data for aggregated-area maps amounts to a corresponding uncertainty in the delineation of the most likely cluster found by methods based on the spatial scan statistics [3]. If this cluster… read more -
Spatial cluster detection through constrained dynamic programming
Content Type: Abstract
The spatial scan statistic [1] is the most used measure for cluster strenght. The evaluation of all possible subsets of regions in a large dataset is computationally infeasible. Many heuristics have appeared recently to compute approximate values… read more -
Using a Bayesian Method to Assess Google, Twitter, and Wikipedia for ILI Surveillance
Content Type: Abstract
Traditional influenza surveillance relies on reports of influenzalike illness (ILI) by healthcare providers, capturing individuals who seek medical care and missing those who may search, post, and tweet about their illnesses instead. Existing… read more