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Public domain small-area cancer incidence data for New York State, 2005-2009
- Source :
- Geospatial health, Geospatial Health, Vol 11, Iss 1 (2016)
- Publication Year :
- 2016
- Publisher :
- PAGEPress Publications, 2016.
-
Abstract
- There has long been a demand for cancer incidence data at a fine geographic resolution for use in etiologic hypothesis generation and testing, methodological evaluation and teaching. In this paper we describe a public domain dataset containing data for 23 anatomic sites of cancer diagnosed in New York State, USA between 2005 and 2009 at the census block group level. The dataset includes 524,503 tumours distributed across 13,823 block groups with an average population of about 1400. In addition, the data have been linked with race/ethnicity and with socioeconomic indicators such as income, educational attainment and language proficiency. We demonstrate the application of the dataset by confirming two well-established relationships: that between breast cancer and median household income and that between stomach cancer and Asian race. We foresee that this dataset will serve as the basis for a wide range of spatial analyses and as a benchmark for evaluating spatial methods in the future.
- Subjects :
- Male
Pathology
medicine.medical_specialty
Health (social science)
Geography, Planning and Development
Population
New York
Ethnic group
lcsh:G1-922
Datasets as Topic
Medicine (miscellaneous)
Breast Neoplasms
01 natural sciences
Article
010104 statistics & probability
03 medical and health sciences
0302 clinical medicine
Breast cancer
Neoplasms
Humans
Medicine
Cancer mapping
Language proficiency
030212 general & internal medicine
0101 mathematics
education
Socioeconomic status
Spatial Analysis
education.field_of_study
business.industry
Incidence
Health Policy
Open data
Racial Groups
Small-area
medicine.disease
Educational attainment
3. Good health
Socioeconomic Factors
Income
Household income
Female
business
lcsh:Geography (General)
Cancer incidence
Demography
Subjects
Details
- ISSN :
- 19707096 and 18271987
- Volume :
- 11
- Database :
- OpenAIRE
- Journal :
- Geospatial Health
- Accession number :
- edsair.doi.dedup.....77f1fbd16d95611a93da232d70a18874