scholarly journals Pharmacy Functionality During the Hurricane Florence Disaster

2019 ◽  
Vol 14 (1) ◽  
pp. 93-102
Author(s):  
J. Danielle Sharpe ◽  
Julie A. Clennon
Keyword(s):  
Health Care ◽  
North Carolina ◽  
Information System ◽  
South Carolina ◽  
Geographic Information System ◽  
Emergency Management ◽  
Disaster Response ◽  
Community Pharmacies ◽  
System Software ◽  
Infrastructure Strengthening

ABSTRACTObjectives:The aim of this study was to analyze pharmacy functionality, or the volume of operational pharmacies, among areas in North Carolina and South Carolina affected by Hurricane Florence.Methods:Using geographic information system software and data from the Federal Emergency Management Agency and Healthcare Ready, we computed, mapped, and analyzed pharmacy functionality measures for the period of September 12, 2018, through September 20, 2018, among counties in North Carolina and South Carolina to examine health-care–related disaster readiness for and response to Hurricane Florence.Results:In the Hurricane Florence-impacted region, counties located along the coast had the most suboptimal pharmacy functionality, whereas counties located more centrally within North Carolina and South Carolina had more optimal pharmacy functionality throughout the disaster. Generally, functionality was high at Hurricane Florence’s landfall on September 14, 2018, for which operating pharmacy capacity was reported at 85% in North Carolina and 88% in South Carolina. Both states had the lowest functionality on September 16, 2018, at 71% for North Carolina and 62% for South Carolina.Conclusions:During the Hurricane Florence event, suboptimal pharmacy functionality was detected for coastal areas and during the disaster response period. Hurricane readiness plans and infrastructure strengthening should be emphasized for community pharmacies in hurricane-prone areas.

Use of a Geographic Information System (GIS) in the Medical Response to the Fukushima Nuclear Disaster in Japan

2012 ◽  
Vol 27 (2) ◽  
pp. 213-215 ◽  
Author(s):  
Takashi Nagata ◽  
Yoshinari Kimura ◽  
Masami Ishii
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Medical Association ◽  
Disaster Response ◽  
Geographic Information ◽  
Nuclear Disaster ◽  
Medical Response ◽  
Event Information ◽  
Fukushima Daiichi ◽  
Fukushima Nuclear Disaster

AbstractThe Great East Japan Earthquake occurred on March 11, 2011. In the first 10 days after the event, information about radiation risks from the Fukushima Daiichi nuclear plant was unavailable, and the disaster response, including deployment of disaster teams, was delayed. Beginning on March 17, 2011, the Japan Medical Association used a geographic information system (GIS) to visualize the risk of radiation exposure in Fukushima. This information facilitated the decision to deploy disaster medical response teams on March 18, 2011.Nagata T, Kimura Y, Ishii M. Use of a geographic information system (GIS) in the medical response to the Fukushima nuclear disaster in Japan. Prehosp Disaster Med. 2012;27(2):1-3.

Geographic Information System Software

1991 ◽  
pp. 161-183 ◽  
Author(s):  
John C. Antenucci ◽  
Kay Brown ◽  
Peter L. Croswell ◽  
Michael J. Kevany ◽  
Hugh Archer
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Geographic Information ◽  
System Software

scholarly journals Building Geographic Information System Capacity in Local Health Departments: Lessons From a North Carolina Project

2005 ◽  
Vol 95 (12) ◽  
pp. 2180-2185 ◽  
Author(s):  
Marie Lynn Miranda ◽  
Jennifer M. Silva ◽  
M. Alicia Overstreet Galeano ◽  
Jeffrey P. Brown ◽  
Douglas S. Campbell ◽  
...  
Keyword(s):  
North Carolina ◽  
Information System ◽  
Geographic Information System ◽  
Geographic Information ◽  
System Capacity ◽  
Local Health ◽  
Health Departments ◽  
Local Health Departments

Putting young children on disaster maps: The challenges of child care data integration

2007 ◽  
Vol 5 (4) ◽  
pp. 47 ◽  
Author(s):  
Elizabeth F. Shores, MAPH ◽  
Jamie Heath, BA ◽  
Erin Barbaro, MA ◽  
Michael C. Barbaro, MA ◽  
Cathy Grace, EdD
Keyword(s):  
South Carolina ◽  
Child Care ◽  
Emergency Management ◽  
Data Sharing ◽  
Emergency Preparedness ◽  
Disaster Response ◽  
Census Bureau ◽  
Earthquake Risk ◽  
State Recovery ◽  
State Child

Objective: To determine the capacity for and degree of data sharing, for the purpose of emergency preparedness of the child care sector, among child care agencies and between child care agencies and emergency management agencies in 12 states.Design: Survey of federal and state child care agencies; evaluations of federal and state datasets; analysis of hurricane and earthquake risk areas; analysis of US Census Bureau data on population aged 0-4 years in counties.Setting: Alabama, Arkansas, California, Florida, Georgia, Louisiana, Mississippi, Missouri, North Carolina, South Carolina, Tennessee, Texas.Subjects, Participants: Not applicable.Interventions: Not applicable.Main Outcome Measures: Feasibility of merging five or more early childhood services datasets from each state.Results: Little data sharing occurs within or between the two sectors in the 12 states under study, putting at least 2 million children under school age at risk of being overlooked in disaster response and effectively excluding the child care sector from state recovery plans.Conclusions: Improved data sharing among agencies within the child care sector and between the child care sector and the emergency management sector is crucial to mitigate the risks for children aged 0-4 and to include them among vulnerable populations that receive top priority in first response, as well as to include the child care sector in economic redevelopment after major disasters.

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