Post-Hurricane Irene coastal oblique aerial photographs collected from Ocracoke Inlet, North Carolina, to Virginia Beach, Virginia, August 30-31, 2011

Data Series ◽  
10.3133/ds979 ◽  
2016 ◽  
Author(s):  
Karen L. M. Morgan ◽  
M. Dennis Krohn
Keyword(s):  
North Carolina ◽  
Aerial Photographs ◽  
Hurricane Irene ◽  
Virginia Beach ◽  
Ocracoke Inlet

Asthma-Related Emergency Department Visits in North Carolina Following Hurricane Irene

2021 ◽  
pp. 1-4
Author(s):  
Kristen N. Cowan ◽  
Audrey F. Pennington ◽  
Kanta Sircar ◽  
W. Dana Flanders
Keyword(s):  
Emergency Department ◽  
North Carolina ◽  
Generalized Linear Model ◽  
Emergency Department Visits ◽  
Hurricane Irene ◽  
Asthma Exacerbations ◽  
Before And After ◽  
Ed Visits ◽  
Disaster Declarations ◽  
Using Data

Abstract Objective: Previous research suggests that people with asthma may experience a worsening of symptoms following hurricanes due to changes in environmental exposures, discontinuity in chronic disease management, and stress. The objective of this study was to estimate changes in asthma-related emergency department (ED) visits in North Carolina following Hurricane Irene, which made landfall in August 2011. Methods: Changes in asthma-related ED visits in September to December of 2010 and 2011 were examined using data from the Healthcare Cost and Utilization Project State Emergency Department and Inpatient Databases. A Poisson generalized linear model was used to estimate the association between Federal Emergency Management Agency disaster declarations following Hurricane Irene and county-level asthma-related ED visits controlling for month, year, and county. Results: Following Hurricane Irene, disaster declarations were made for 38 of 100 counties in North Carolina. In September 2010, the rate of asthma-related ED visits for North Carolina was 6 per 10,000 person-months. In September 2011, rates of asthma-related ED visits were similar in counties with and without disaster declarations (7 and 5 per 10,000 person-months, respectively). When adjusting for covariates, there was little or no difference in the rate of asthma ED visits before and after the hurricane between counties with and without a disaster declaration (rate ratio {RR} [95% confidence interval {CI}] = 1.02[0.97, 1.08]). Conclusions: Although risk factors for asthma exacerbations increase following hurricanes, these results found little evidence of an increase in asthma-related ED visits in North Carolina following Hurricane Irene.

In the path of the Hurricane: impact of Hurricane Irene and Tropical Storm Lee on watershed hydrology and biogeochemistry from North Carolina to Maine, USA

2018 ◽  
Vol 141 (3) ◽  
pp. 351-364 ◽  
Author(s):  
Philippe Vidon ◽  
Diana L. Karwan ◽  
A. Scott Andres ◽  
Shreeram Inamdar ◽  
Sujay Kaushal ◽  
...  
Keyword(s):  
North Carolina ◽  
Tropical Storm ◽  
Watershed Hydrology ◽  
Hurricane Irene ◽  
Hurricane Impact

scholarly journals Estimation of Agriculture-Forestry Transition Matrices from Aerial Photographs

1973 ◽  
Vol 5 (2) ◽  
pp. 147-153 ◽  
Author(s):  
Harry J. Van Loock ◽  
William L. Hafley ◽  
Richard A. King
Keyword(s):  
United States ◽  
Land Use ◽  
North Carolina ◽  
Forest Management ◽  
Management Practices ◽  
Aerial Photographs ◽  
Aerial Photo ◽  
Transition Matrices ◽  
Alternative Strategies ◽  
Rates Of Change

The difficulties associated with improving forest management practices on land held by farmers and other small landowners have been well documented. In North Carolina roughly four-fifths of all forest area is to be found in such holdings. To evaluate alternative strategies for improving land management, it is important to have information concerning the rates of change in land use on existing units. Aerial photographs provide a valuable source of this information, especially when flights have been made over an area at regular intervals extending back over several decades. In general, such regularity of aerial photo flights does exist for the continental United States. This article describes the use of such photographic data to construct land-use transition matrices.

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