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Feasibility of contour mapping epidemiological data with missing values.
- Source :
-
Statistics in medicine [Stat Med] 1995 Mar 15-Apr 15; Vol. 14 (5-7), pp. 605-13. - Publication Year :
- 1995
-
Abstract
- Data of epidemiologic interest often occur as spatial information during each of several time periods. In most cases data are available from a set of regions or localities which can be viewed as points in a plane. Although contour mapping is useful for displaying these data, the lack of data for all data points in a region may lead to erroneous interpretation. In this paper we use stimulation to investigate the impact of missing data points for contour mapping using two distinct simulated spatial-time distributions for epidemiologic variables. A model for the occurrence of malaria in localities randomly distributed in one region is chosen as the prototype for data generation.
- Subjects :
- Bayes Theorem
Brazil epidemiology
Data Collection
Feasibility Studies
Humans
Incidence
Malaria epidemiology
Maps as Topic
Stochastic Processes
Data Interpretation, Statistical
Disease Outbreaks statistics & numerical data
Epidemiologic Methods
Models, Statistical
Population Surveillance methods
Subjects
Details
- Language :
- English
- ISSN :
- 0277-6715
- Volume :
- 14
- Issue :
- 5-7
- Database :
- MEDLINE
- Journal :
- Statistics in medicine
- Publication Type :
- Academic Journal
- Accession number :
- 7792451
- Full Text :
- https://doi.org/10.1002/sim.4780140518