ArticleDelaware journal of public health2019
Geographic Relationships Between Smoking and Chronic Lower Respiratory Disease in Delaware.
Article in Delaware journal of public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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0 citing papers in PubMed, 1 citations in OpenAlex.
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesTo determine geographical relationships between smoking prevalence, COPD prevalence, and lower respiratory disease mortality in Delaware by census tract and county.
methodsData about Delaware residents with COPD, who are smokers, and/or have chronic lower respiratory diseases, respectively, were analyzed from publically accessible datasets posted on PolicyMap and Delaware Open Data. Data was linked to shapefiles in order to map prevalence and mortality rates by Delaware census tract and county. Geo-based descriptive analysis was conducted via choropleth maps.
resultsCOPD prevalence was higher in urban areas with high smoking prevalence. The highest proportion of census tracts with high COPD rates occurred in Sussex County and the lowest was in New Castle County. The highest crude and age-adjusted mortality rate due to chronic lower respiratory disease was in Sussex County and the lowest was in New Castle County. Chronic lower respiratory disease mortality was highest among white residents, increased as age increased, and occurred more frequently in females than in males.
conclusionSussex County had a high proportion of census tracts with high COPD rates and the highest mortality rate due to chronic lower respiratory disease. Urban census tracts displayed high rates of COPD prevalence and smoking prevalence. Identifying geographic focus areas can be used to direct future healthcare programs and public health initiatives. Future research should test statistical relationships between risk factors, geographic areas, and chronic lung disease outcomes.
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