What is the future of geohealth? One of the gaps in our knowledge is the lack of near real-time data on the ambient environment people experience as they go about their daily lives. This is changing rapidly with the advent of location enabled devices and wearable...
Geoffrey Jacquez, Ph.D. Posts
SXSW 2013: Mobile Health and the new era of Citizen Science
by Geoffrey Jacquez, Ph.D. | Mar 11, 2013 | Article
Yesterday, I traveled to the meetings at SXSW in Austin, Texas. I’m attending the interactive session, and you may be able to find me at these events. Yes, I’ve doubled and triple scheduled some of the time slots, but there is so much going on here in the mobile...
Researchers suggest geographic boundary analysis to detect shift in species distributions in response to climate change
by Geoffrey Jacquez, Ph.D. | Oct 25, 2012 | Learn with BioMedware
Quantifying the spatial relationship between bird species’ distributions and landscape feature boundaries in southern Ontario, Canada
Drugs recalled by New England Compounding Center: The tip of the iceberg?
by Geoffrey Jacquez, Ph.D. | Oct 17, 2012 | Learn with BioMedware
As hypotheses are tested and rejected, the remaining hypotheses are those that plausibly might explain the observed pattern. But how often do we include medications contaminated with foreign agents — fungus, bacteria, or otherwise — in our set of explanatory hypotheses? Until now, rarely, if ever. What we are learning from the New England Compounding Center is that contaminated medications largely explain the observed outbreak of fungal meningitis.
Genetic GIS: A call and a research agenda.
by Geoffrey Jacquez, Ph.D. | Oct 5, 2012 | Learn with BioMedware
Genetic GIS provides a comprehensive model of human health and its determinants including genetic, environmental and behavioral dimensions.
Part 3: Spatial Autocorrelation and Clusters of Health Events
by Geoffrey Jacquez, Ph.D. | Jan 31, 2012 | Learn with BioMedware
Part 3 Neutral models This is the third in a series on spatial autocorrelation and clusters of health events. The first part presented a framework for analyzing disease clusters that builds on the principles of strong inference. Strong inference involves enumeration...
Part 2: Spatial Autocorrelation and Clusters of Health Events
by Geoffrey Jacquez, Ph.D. | Jan 24, 2012 | Learn with BioMedware
Part 2 Sources of Spatial Autocorrelation Summary: This blog presents several of the sources of spatial autocorrelation in health event data. Many of these could plausibly lead to clusters of health events, others (such as interpolation autocorrelation) may act...
Part 1: Spatial Autocorrelation and Clusters of Health Events
by Geoffrey Jacquez, Ph.D. | Jan 15, 2012 | Learn with BioMedware
Part 1 Strong Inference The Centers for Disease Control as well as state and local health agencies use information on clusters of health events to respond to cluster allegations brought forward by a concerned public; identify impacted local populations (where are...
Directions Magazine: Geocoding Comes to the Forefront
by Geoffrey Jacquez, Ph.D. | Jan 4, 2012 | Article
A report from the First International Geospatial Geocoding Conference (IGGC) by Daniel W. Goldberg and Geoffrey M. Jacquez provides an overview of the intensive 2-day information sharing event attended by geocoding users, developers, scientists and researchers.
The First International Geospatial Geocoding Conference (Redlands, California – Dec 6-7, 2011)
by Geoffrey Jacquez, Ph.D. | Dec 20, 2011 | Article
By Geoffrey M. Jacquez, PhD (BioMedware) and Daniel Goldberg, PhD (University of Southern California) This blog provides a quick take on the First International Geospatial Geocoding Conference. I am pleased to write this blog with Dan Goldberg, conference...