Jacqueline W. Mills

Spatial confidentiality and GIS: re-engineering mortality locations from published maps about Hurricane Katrina

BackgroundGeographic Information Systems (GIS) can provide valuable insight into patterns of human activity. Online spatial display applications, such as Google Earth, can democratise this information by disseminating it to the general public. Although this is a generally positive advance for society, there is a legitimate concern involving the disclosure of confidential information through spatial display. Although guidelines exist for aggregated data, little has been written concerning the display of point level information. The concern is that a map containing points representing cases of cancer or an infectious disease, could be re-engineered back to identify an actual residence. This risk is investigated using point mortality locations from Hurricane Katrina re-engineered from a map published in the Baton Rouge Advocate newspaper, and a field team validating these residences using search and rescue building markings.ResultsWe show that the residence of an individual, visualized as a generalized point covering approximately one and half city blocks on a map, can be re-engineered back to identify the actual house location, or at least a close neighbour, even if the map contains little spatial reference information. The degree of re-engineering success is also shown to depend on the urban characteristic of the neighborhood.ConclusionThe results in this paper suggest a need to re-evaluate current guidelines for the display of point (address level) data. Examples of other point maps displaying health data extracted from the academic literature are presented where a similar re-engineering approach might cause concern with respect to violating confidentiality. More research is also needed into the role urban structure plays in the accuracy of re-engineering. We suggest that health and spatial scientists should be proactive and suggest a series of point level spatial confidentiality guidelines before governmental decisions are made which may be reactionary toward the threat of revealing confidential information, thereby imposing draconian limits on research using a GIS.

Katrina and vulnerability: the geography of stress

The immediate aftermath of Katrina focused the worlds attention on the vulnerability of the urban poor and racial/ethnic minority groups in New Orleans. This vulnerability can be viewed in terms of site, the proximity of a neighborhood to a hazard, and situation, the social context of that neighborhood. Vulnerabilities, associated with demographic characteristics such as being poor, being a member of a racial/ethnic minority group, and being female, will strengthen the force of a disaster. This paper uses a site and situation approach to show how maps of the five main sources of disaster-related stress in New Orleans can be used to predict where counseling resources should be targeted.

Understanding the Geography of Post-Traumatic Stress: An Academic Justification for Using a Spatial Video Acquisition System in the Response to Hurricane Katrina

In the aftermath of a disaster like Hurricane Katrina, remote-sensing methods are often employed in an effort to assess damage. However, their utility may be limited by the aerial perspective and image resolution. The Spatial Video Acquisition System (SVAS), in conjunction with a Geographic Information System (GIS), has the potential to be a complementary methodology for obtaining damage assessment information as well as capturing recovery related geographies associated with post-traumatic stress. An example is provided from the Lower 9th Ward of New Orleans with data that could be used to predict neighborhood post-traumatic stress. Results reveal six dimensions in which a SVAS can improve existing disaster-related data collection approaches: organization, archiving, transferability, evaluation, objectivity, and feasibility.

Geospatial Approaches for Disease Risk Communication in Marginalized Communities

Background: After Hurricane Katrina, Louisiana State University (LSU) collaborated with the Federal Emergency Management Agency (FEMA) to create the LSU GIS Clearinghouse Cooperative (LGCC) to disseminate geospatial data. From this experience of serving community geospatial data needs for risk communication, particularly in marginalized areas, and through working with the World Health Organization Collaborating Center for Remote Sensing and GIS for Public Health (WHOCC), we identified several useful geospatial technologies (GT) and methods for their implementation in risk communication strategies.Objectives: This article provides an assessment of the benefits and limitations of these technologies for risk communication in marginalized communities.Methods: Several GT have been employed for risk communication and general data dissemination in communities throughout rural coastal Louisiana. From experimentation with these technologies for risk communication, they can be classed into three groups: lightweight GIS, map dissemination tools, and interactive GT.Results: Lightweight GIS and map dissemination tools will, at some point in their application, require the assistance of a GIS expert or GIS data provider to develop and customize the tool for its intended uses. Interactive GT, however, has rapidly developed options that allow user-friendly operation without reliance on expert assistance. Google Maps, however, is showing the greatest potential for community-based health participation.Conclusions: Classifying the available GT based on functionality is critical to help specialists provide the most effective method for spatial risk communication and to assist community users in creating accessible data for their local health needs.

Crime in Urban Post-Disaster Environments: A Methodological Framework from New Orleans

This paper considers the interrelationship between residential occupancy status, blight, and crime. An analytical frame is provided for a fine-scale analysis that is sufficiently flexible to capture both spatial and temporal dynamism in field-collected data. Unlike other works linking crime to evidence of disorder within neighborhoods, this paper considers this relationship in terms of neighborhoods affected by an external event (natural disaster), which results in more dynamic spatial and temporal patterns as the neighborhood is in a state of flux. As a result, new means of data collection and analysis are required, as any fine-scale relationship is longitudinal as well as cross sectional. The focus here is on the interrelationship of post-disaster residential occupancy, building conditions, and crime incidence for the Holy Cross neighborhood of New Orleans as it recovers from Hurricane Katrina. Results suggest that crime is inversely related to the amount of activity on a recovering street.

Space and Time Changes in Neighborhood Recovery After a Disaster Using a Spatial Video Acquisition System

This chapter uses the case of Hurricane Katrina to show how an advance in geospatial data collection initially used to improve damage assessment can also provide utility throughout other phases of the emergency management cycle. A spatial video acquisition system (SVAS), employed as a disaster assessment tool because of Katrina-related response deficiencies, is described in terms of its genesis, and its application in the ongoing recovery phase of the disaster. The SVAS is discussed conceptually as a new approach for capturing the spatially and temporally dynamic urban environments of a post-disaster neighborhood; for example, collecting data that can be used as a proxy for disaster-related health vulnerability, especially psychopathology. The ability to collect such a dynamic data set has previously been lacking in post-disaster health research.

A Spatial Variant of the Basic Reproduction Number for the New Orleans Yellow Fever Epidemic of 1878

Abstract A spatial variant of the basic reproduction number (R 0), here defined as the number of subsequent deaths attributed to an initial mortality, can be used to identify geographic variation within an epidemic. A spatial R 0 was calculated at the neighborhood level, here defined by a 50-m buffer surrounding an index case, for mortality data from the 1878 yellow fever epidemic of New Orleans. The highest number of secondary mortalities linked to a neighborhood index case was twelve, with a further eighty-seven extrapolated morbidity cases. Results also highlight the importance of multideath residences and cultural contacts in neighborhood-level disease spread.

A multiple additive regression tree analysis of three exposure measures during Hurricane Katrina

This paper analyses structural and personal exposure to Hurricane Katrina. Structural exposure is measured by flood height and building damage; personal exposure is measured by the locations of 911 calls made during the response. Using these variables, this paper characterises the geography of exposure and also demonstrates the utility of a robust analytical approach in understanding health-related challenges to disadvantaged populations during recovery. Analysis is conducted using a contemporary statistical approach, a multiple additive regression tree (MART), which displays considerable improvement over traditional regression analysis. By using MART, the percentage of improvement in R-squares over standard multiple linear regression ranges from about 62 to more than 100 per cent. The most revealing finding is the modelled verification that African Americans experienced disproportionate exposure in both structural and personal contexts. Given the impact of exposure to health outcomes, this finding has implications for understanding the long-term health challenges facing this population.