Exploratory spatial data analysis of congenital malformations (CM) in Israel, 2000-2006

Keren Agay-Shay; Yona Amitai; Chava Peretz; Shai Linn; Michael Friger; Ammatzia Peled

doi:10.3390/ijgi2010237

Exploratory spatial data analysis of congenital malformations (CM) in Israel, 2000-2006

Keren Agay-Shay, Yona Amitai, Chava Peretz, Shai Linn, Michael Friger, Ammatzia Peled

Research output: Contribution to journal › Article › peer-review

Abstract

Congenital Malformations (CM) impose a heavy burden on families and society. Identification of spatial patterns of CM is useful for understanding the epidemiology of this public health issue. In Israel, about 1,000,000 births and 25,000 CM cases at 37 groups were geocoded during 2000-2006. These were geo-Analyzed using global-Moran's-I statistics. Eight groups demonstrated geospatial heterogeneity and were further analyzed at both the census tract (Local Indicator of Spatial Association (LISA) and hot spot analyses) and street levels (spatial scan statistics with two population threshold sizes). The positional definition of results is further discussed in relevance to possible exposure to teratogenic sources in the region. Limitations of data and methods used are presented as well.

Original language	English
Pages (from-to)	237-255
Number of pages	19
Journal	ISPRS International Journal of Geo-Information
Volume	2
Issue number	1
DOIs	https://doi.org/10.3390/ijgi2010237
State	Published - Mar 2013

Keywords

Birth defects
Congenital malformations
Epidemiology
Hot spot
LISA
SaTScan
Spatial clusters/statistics

ASJC Scopus subject areas

Geography, Planning and Development
Computers in Earth Sciences
Earth and Planetary Sciences (miscellaneous)

Access to Document

10.3390/ijgi2010237

Cite this

@article{139c144868e14bdb83515ca60c326da6,

title = "Exploratory spatial data analysis of congenital malformations (CM) in Israel, 2000-2006",

abstract = "Congenital Malformations (CM) impose a heavy burden on families and society. Identification of spatial patterns of CM is useful for understanding the epidemiology of this public health issue. In Israel, about 1,000,000 births and 25,000 CM cases at 37 groups were geocoded during 2000-2006. These were geo-Analyzed using global-Moran's-I statistics. Eight groups demonstrated geospatial heterogeneity and were further analyzed at both the census tract (Local Indicator of Spatial Association (LISA) and hot spot analyses) and street levels (spatial scan statistics with two population threshold sizes). The positional definition of results is further discussed in relevance to possible exposure to teratogenic sources in the region. Limitations of data and methods used are presented as well.",

keywords = "Birth defects, Congenital malformations, Epidemiology, Hot spot, LISA, SaTScan, Spatial clusters/statistics",

author = "Keren Agay-Shay and Yona Amitai and Chava Peretz and Shai Linn and Michael Friger and Ammatzia Peled",

year = "2013",

month = mar,

doi = "10.3390/ijgi2010237",

language = "English",

volume = "2",

pages = "237--255",

journal = "ISPRS International Journal of Geo-Information",

issn = "2220-9964",

publisher = "MDPI AG",

number = "1",

}

TY - JOUR

T1 - Exploratory spatial data analysis of congenital malformations (CM) in Israel, 2000-2006

AU - Agay-Shay, Keren

AU - Amitai, Yona

AU - Peretz, Chava

AU - Linn, Shai

AU - Friger, Michael

AU - Peled, Ammatzia

PY - 2013/3

Y1 - 2013/3

N2 - Congenital Malformations (CM) impose a heavy burden on families and society. Identification of spatial patterns of CM is useful for understanding the epidemiology of this public health issue. In Israel, about 1,000,000 births and 25,000 CM cases at 37 groups were geocoded during 2000-2006. These were geo-Analyzed using global-Moran's-I statistics. Eight groups demonstrated geospatial heterogeneity and were further analyzed at both the census tract (Local Indicator of Spatial Association (LISA) and hot spot analyses) and street levels (spatial scan statistics with two population threshold sizes). The positional definition of results is further discussed in relevance to possible exposure to teratogenic sources in the region. Limitations of data and methods used are presented as well.

AB - Congenital Malformations (CM) impose a heavy burden on families and society. Identification of spatial patterns of CM is useful for understanding the epidemiology of this public health issue. In Israel, about 1,000,000 births and 25,000 CM cases at 37 groups were geocoded during 2000-2006. These were geo-Analyzed using global-Moran's-I statistics. Eight groups demonstrated geospatial heterogeneity and were further analyzed at both the census tract (Local Indicator of Spatial Association (LISA) and hot spot analyses) and street levels (spatial scan statistics with two population threshold sizes). The positional definition of results is further discussed in relevance to possible exposure to teratogenic sources in the region. Limitations of data and methods used are presented as well.

KW - Birth defects

KW - Congenital malformations

KW - Epidemiology

KW - Hot spot

KW - LISA

KW - SaTScan

KW - Spatial clusters/statistics

UR - http://www.scopus.com/inward/record.url?scp=84894884906&partnerID=8YFLogxK

U2 - 10.3390/ijgi2010237

DO - 10.3390/ijgi2010237

M3 - Article

AN - SCOPUS:84894884906

SN - 2220-9964

VL - 2

SP - 237

EP - 255

JO - ISPRS International Journal of Geo-Information

JF - ISPRS International Journal of Geo-Information

IS - 1

ER -

Exploratory spatial data analysis of congenital malformations (CM) in Israel, 2000-2006

Abstract

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this