Spatial clusters of autism births and diagnoses point to contextual drivers ofincreased prevalence

Social Science and Medicine

Volumn 95, Issue , 2013, Pages 87-96

  Mazumdar, Soumya ^a   Winter, Alix ^b   Liu, Ka Yuet ^c   Bearman, Peter ^d  

^a AUSTRALIAN NATIONAL UNIVERSITY   (Australia)

^b HARVARD UNIVERSITY   (United States)

^c UNIVERSITY OF CALIFORNIA   (United States)

^d Och Spine at New York Presbyterian Hospitals   (United States)

Author keywords

Autism; California; Geography; GIS; Mobility; Neighborhood resources; Spatial clustering

Indexed keywords

CLUSTER ANALYSIS; GIS; NEIGHBORHOOD; NERVOUS SYSTEM DISORDER; PSYCHOLOGY; RISK FACTOR; SPATIAL ANALYSIS;

ARTICLE; AUTISM; CHILD; CLUSTER ANALYSIS; CONTROLLED STUDY; DISEASE ASSOCIATION; DISEASE COURSE; DISEASE SEVERITY; ENVIRONMENTAL FACTOR; FEMALE; GEOGRAPHIC DISTRIBUTION; HEALTH CARE PLANNING; HEALTH STATUS INDICATOR; HUMAN; INDEPENDENT VARIABLE; INFANT; MALE; NEIGHBORHOOD; PRESCHOOL CHILD; PSYCHIATRIC DIAGNOSIS; RISK ASSESSMENT; RISK FACTOR; SOCIAL ENVIRONMENT; SOCIAL STATUS; UNITED STATES;

AUTISM; CALIFORNIA; GEOGRAPHY; GIS; MOBILITY; NEIGHBORHOOD RESOURCES; SPATIAL CLUSTERING;

AUTISTIC DISORDER; CALIFORNIA; CHILD; CHILD, PRESCHOOL; CLUSTER ANALYSIS; HEALTH RESOURCES; HUMANS; INFANT; INFANT, NEWBORN; PREVALENCE; RESIDENCE CHARACTERISTICS; RISK FACTORS; SEVERITY OF ILLNESS INDEX; SOCIAL CLASS; SPATIAL ANALYSIS;

CALIFORNIA; UNITED STATES;

EID: 84883457152     PISSN: 02779536     EISSN: 18735347     Source Type: Journal    
DOI: 10.1016/j.socscimed.2012.11.032     Document Type: Article

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