Using spatial analysis to identify areas vulnerable to infant mortality.
Objective. To analyze the spatial distribution of infant mortality and identify clusters with high risk of death in the first year of life. Methods. The Thiessen (Voronoi) polygon method was used to analyze spatial distribution of the infant mortality rate, calculated by municipality. The triennium...
| Publicado en: | Pan American Journal of Public Health Vol. 34; no. 1; pp. 36 - 41 |
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| Autores principales: | , , , , |
| Formato: | Artículo |
| Publicado: |
World Health Organization
Jul2013
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=90208646&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 90208646 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 10204989 55OA jtl: Pan American Journal of Public Health issn: 10204989 maglogo: N pubinfo: dt: Jul2013 vid: 34 iid: 1 pid: 437 pub: World Health Organization artinfo: ui: 90208646 ppf: 36 ppct: 5 formats: fmt: @attributes: type: P size: 336KB tig: atl: Using spatial analysis to identify areas vulnerable to infant mortality. aug: au: Rodrigues, Mirella Bonfim, Cristine Portugal, José Luiz Dantas Gurgel, Idê Gomes Medeiros, Zulma affil: Universidade Federal de Pernambuco, Cidade Universitária, Recife, Pernambuco, Brasil Fundação Joaquim Nabuco, Ministério da Educação, Recife, Pernambuco, Brasil Centro de Pesquisas Aggeu Magalhães, Fundação Oswaldo Cruz, Cidade Universitária, Recife, Pernambuco, Brasil su: Brazil Infant mortality Health status indicators Population geography Retrospective studies Statistics methodology Data analysis Research Hypothesis Cluster analysis (Statistics) Statistical correlation Geographic information systems Maps Predictive validity Psychological vulnerability Mortality risk factors sug: subj: Infant mortality Health status indicators Population geography Retrospective studies Brazil Book, Periodical, and Newspaper Merchant Wholesalers Other printing Statistics methodology Data analysis Research Hypothesis Cluster analysis (Statistics) Statistical correlation Geographic information systems Maps Predictive validity Psychological vulnerability Mortality risk factors keyword: geographic information systems spatial analysis análisis espacial Brasil Mortalidad infantil sistemas de información geográfica geographic information systems spatial analysis análisis espacial Brasil Mortalidad infantil sistemas de información geográfica ab: Objective. To analyze the spatial distribution of infant mortality and identify clusters with high risk of death in the first year of life. Methods. The Thiessen (Voronoi) polygon method was used to analyze spatial distribution of the infant mortality rate, calculated by municipality. The triennium 2006-2008 was used as a reference to estimate the average infant mortality rate, and the first analysis of the spatial distribution of the rate was performed to test for first-order spatial stationarity. The spatial pattern was then analyzed using Moran's index and G-statistic (α = 5%). Results. The surface projections on trends showed that infant mortality is not constant in space. The Moran index (0.34, P < 0.01) and G-statistic (0.03, P < 0.01) confirmed a spatial autocorrelation between infant mortality and clusters when the Thiessen polygon method was used. Conclusions. The Voronoi polygons proved accurate for spatial analysis of infant mortality and were predictive of clusters with high risk of death in the first year of life. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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