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Alberto M. Segre

Researcher at University of Iowa

Publications -  131
Citations -  4206

Alberto M. Segre is an academic researcher from University of Iowa. The author has contributed to research in topics: Population & Health care. The author has an hindex of 24, co-authored 131 publications receiving 3842 citations. Previous affiliations of Alberto M. Segre include The Chinese University of Hong Kong & Cornell University.

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Journal ArticleDOI

Mapping autism risk loci using genetic linkage and chromosomal rearrangements

Peter Szatmari, +139 more
- 01 Mar 2007 - 
TL;DR: Linkage and copy number variation analyses implicate chromosome 11p12–p13 and neurexins, respectively, among other candidate loci, highlighting glutamate-related genes as promising candidates for contributing to ASDs.
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The Use of Twitter to Track Levels of Disease Activity and Public Concern in the U.S. during the Influenza A H1N1 Pandemic

TL;DR: The use of information embedded in the Twitter stream is examined to (1) track rapidly-evolving public sentiment with respect to H1N1 or swine flu, and (2) track and measure actual disease activity.
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Using Sensor Networks to Study the Effect of Peripatetic Healthcare Workers on the Spread of Hospital-Associated Infections

TL;DR: Heterogeneity in healthcare worker contact patterns dramatically affects disease diffusion and should inform future infection control interventions and encourage the application of social network analysis to study disease transmission in healthcare settings.
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Estimating Time Physicians and Other Health Care Workers Spend with Patients in an Intensive Care Unit Using a Sensor Network

TL;DR: Physicians, nurses, and critical support staff spend very little of their time in direct patient contact in an intensive care unit setting, similar to reported observations in both outpatient and inpatient settings.
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Method for Automated Monitoring of Hand Hygiene Adherence without Radio-Frequency Identification

TL;DR: A method for automatically tracking the use of hand hygiene dispensers before healthcare workers enter (or after they exit) patient rooms that is easily and quickly deployed without permanent hardware is developed.