Jennifer J. Webb

Bio: Jennifer J. Webb is an academic researcher from University of South Carolina. The author has contributed to research in topics: Terrorism & Natural disaster. The author has an hindex of 4, co-authored 4 publications receiving 2727 citations. Previous affiliations of Jennifer J. Webb include Bloomsburg University of Pennsylvania.

A place-based model for understanding community resilience to natural disasters

Abstract: There is considerable research interest on the meaning and measurement of resilience from a variety of research perspectives including those from the hazards/disasters and global change communities. The identification of standards and metrics for measuring disaster resilience is one of the challenges faced by local, state, and federal agencies, especially in the United States. This paper provides a new framework, the disaster resilience of place (DROP) model, designed to improve comparative assessments of disaster resilience at the local or community level. A candidate set of variables for implementing the model are also presented as a first step towards its implementation.

The Geography of U.S. Terrorist Incidents, 1970–2004

Abstract: This paper describes the spatio-temporal trends in terrorist incidents in the United States, from 1970 through 2004. Utilizing the Global Terrorism Database (GTD) and ancillary data, we examine both the frequency of incidents and their characteristics: location, target type, attack type, weapon type, and perpetrator group. While the frequency of terrorist incidents has declined since the 1970s, there still is significant activity nationwide. Instead of urban-rural or West Coast-East Coast divisions, the pattern is a more complex mosaic based on group identity, target, and weapon type. We conclude that there is an explicit geography of terrorism, one that is quite decentralized and highly localized.

Early Detection of Terrorism Outbreaks Using Prospective Space–Time Scan Statistics

Abstract: Terrorism is a complex phenomenon with high uncertainty involving a myriad of dynamic known and unknown factors. It is and will remain a challenge to predict or detect terrorism outbreaks at an early stage. This research presents an alternative approach for modeling terrorism activity, one that monitors and detects space–time clusters of terrorist incidents using prospective space–time scan statistics. Such clusters provide indicators of potential outbreaks of terrorist incidents. To evaluate the effectiveness of the approach, we analyze the terrorist incidents in the Consortium for the Study of Terrorism and Responses to Terrorism's (START) Global Terrorism Database (GTD) from 1998 to 2004. Clusters of terrorist events are detected at each time stamp and life trajectories of these clusters are constructed based on their space–time relationship to each other. Through the life trajectories and trends of clusters, we demonstrate how space–time scan statistics detect terrorism outbreaks at an early stage.

Prevention of Elder Mistreatment in Nursing Homes: Competencies for Direct-Care Staff

Abstract: Existing training on elder mistreatment in nursing homes focuses on detection and reporting of abuse, with little training specifically targeted toward prevention of mistreatment before it occurs. We used qualitative interviews with nursing home staff, policy makers, and related professionals to identify training needs. Based on participant accounts, we drafted a number of competencies essential for caregiver training to prevent mistreatment in nursing homes. Competencies include those dealing with definitions and policies, risks for mistreatment, communication and respect in relationships with residents, and development of a cooperative work environment. Competencies are discussed along with illustrative examples, and implications for practice and policy are addressed.

Disaster Resilience Indicators for Benchmarking Baseline Conditions

Abstract: There is considerable federal interest in disaster resilience as a mechanism for mitigating the impacts to local communities, yet the identification of metrics and standards for measuring resilience remain a challenge This paper provides a methodology and a set of indicators for measuring baseline characteristics of communities that foster resilience By establishing baseline conditions, it becomes possible to monitor changes in resilience over time in particular places and to compare one place to another We apply our methodology to counties within the Southeastern United States as a proof of concept The results show that spatial variations in disaster resilience exist and are especially evident in the rural/urban divide, where metropolitan areas have higher levels of resilience than rural counties However, the individual drivers of the disaster resilience (or lack thereof)-social, economic, institutional, infrastructure, and community capacities-vary widely

Linkages between vulnerability, resilience, and adaptive capacity

Abstract: Cet article analyse les relations conceptuelles (imprecises) de la vulnerabilite, de la resilience et de la capacite d’adaptation aux changements climatiques selon le systeme socio-ecologique (socio-ecologigal systems – SES) afin de comprendre et anticiper le comportement des composantes sociales et ecologiques du systeme. Une serie de questions est proposee par l’auteur sur la specification de ces termes afin de developper une structure conceptuelle qui inclut les dimensions naturelles et so...