Estimating medically fragile population in storm surge zones: A geographic information system application

2017 ◽  
Vol 11 (1) ◽  
pp. 9 ◽  
Author(s):  
James L. Wilson, PhD ◽  
Ruth Little, MPH ◽  
Lloyd Novick, MD, MPH
Keyword(s):  
At Risk ◽  
Information System ◽  
Geographic Information System ◽  
Emergency Management ◽  
Storm Surge ◽  
Geographic Distribution ◽  
Geographic Information ◽  
Tropical Storm ◽  
Chronic Obstructive ◽  
Medically Fragile

Objective: To develop a simple, cost-effective method for determining the size and geographic distribution of medically fragile (MF) individuals at risk from tropical storm surges for use by emergency management planners.Design: The study used Geographic Information System (GIS) spatially referenced layers based on secondary data sources from both state and federal levels. Setting: The study setting included the eastern North Carolina coastal counties that would be affected by tropical storm surges.Subjects: The initial MF population was extrapolated from national estimates for five conditions and then applied to US Census block population. These conditions included insulin dependent diabetes, chronic obstructive pulmonary disease, congestive heart failure, end stage renal disease, and patients receiving long-term oxygen treatment.Main outcomes: The main outcome of this study was a series of local and regional maps that portrayed the geographic distribution and estimated counts of potentially at-risk MF population from a tropical storm surge scenario.Conclusions: Maps depicting the geographic distribution and potential numbers of MF individuals are important information for planning and preparedness in emergency management and potentially engaging the public.

Using Geographic Information System Mapping in Emergency Management

2020 ◽  
Vol 55 (1) ◽  
pp. 81-95
Author(s):  
Judith R. Katzburg ◽  
Sarah E. Bradley ◽  
Jason D. Lind ◽  
Jacqueline Fickel ◽  
Diane Cowper Ripley ◽  
...  
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Emergency Management ◽  
Geographic Information ◽  
System Mapping

scholarly journals Geographic distribution of COPD prevalence in the world displayed by Geographic Information System maps

2019 ◽  
Vol 54 (1) ◽  
pp. 1900610 ◽  
Author(s):  
Ignacio Blanco ◽  
Isidro Diego ◽  
Patricia Bueno ◽  
Francisco Casas-Maldonado ◽  
Marc Miravitlles
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Geographic Distribution ◽  
Geographic Information ◽  
The World ◽  
System Maps

scholarly journals Identification of critical watershed at risk of soil erosion using morphometric and geographic information system analysis

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Brahim Benzougagh ◽  
Sarita Gajbhiye Meshram ◽  
Abdallah Dridri ◽  
Larbi Boudad ◽  
Brahim Baamar ◽  
...  
Keyword(s):  
At Risk ◽  
Information System ◽  
Geographic Information System ◽  
Spatial Data ◽  
Water Conservation ◽  
System Analysis ◽  
Overland Flow ◽  
Geographic Information ◽  
Length Ratio ◽  
Stream Length

AbstractMorphometric analysis is a pertinent scientific approach in any hydrological analysis, and it is necessary in the progress and management of drainage basin. Identification of areas at risk of erosion, and the prioritization of 48 sub-watersheds of Inaouene basin, was done by using linear, relief and areal aspects of watershed. The research carried out the use of geographic information system spatial data. The linear aspects include stream number, stream sequence, stream length, and bifurcation ratio, mean length of stream order, stream length ratio, mean stream length ratio, and form factor. The areal aspect includes frequency of stream, drainage density, texture ratio, channel length constant, and overland flow maintenance length. Ultimately, the relief dimensions included relief proportion, relief and ruggedness number. The array of compound (Cp) values computed allow us to set the priority ranks and classify the sub-watershed into three priority ranks groups: low, moderate, and high priority. Such morphometric analyses can be used therefore as a watershed erosion status estimator to prioritize land and water conservation initiatives and natural resources management.

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