Using big data for non-communicable disease surveillance

Ran D. Balicer; Miguel Luengo-Oroz; Chandra Cohen-Stavi; Enrique Loyola; Frederiek Mantingh; Liudmyla Romanoff; Gauden Galea

doi:10.1016/S2213-8587(17)30372-8

Using big data for non-communicable disease surveillance

Ran D. Balicer, Miguel Luengo-Oroz, Chandra Cohen-Stavi, Enrique Loyola, Frederiek Mantingh, Liudmyla Romanoff, Gauden Galea

Certification of Public Health Care

Research output: Contribution to journal › Comment/debate

10 Scopus citations

Original language	English
Pages (from-to)	595-598
Number of pages	4
Journal	The Lancet Diabetes and Endocrinology
Volume	6
Issue number	8
DOIs	https://doi.org/10.1016/S2213-8587(17)30372-8
State	Published - 1 Aug 2018

ASJC Scopus subject areas

Internal Medicine
Endocrinology, Diabetes and Metabolism
Endocrinology

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/S2213-8587(17)30372-8

Cite this

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title = "Using big data for non-communicable disease surveillance",

author = "Balicer, {Ran D.} and Miguel Luengo-Oroz and Chandra Cohen-Stavi and Enrique Loyola and Frederiek Mantingh and Liudmyla Romanoff and Gauden Galea",

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TY - JOUR

T1 - Using big data for non-communicable disease surveillance

AU - Balicer, Ran D.

AU - Luengo-Oroz, Miguel

AU - Cohen-Stavi, Chandra

AU - Loyola, Enrique

AU - Mantingh, Frederiek

AU - Romanoff, Liudmyla

AU - Galea, Gauden

PY - 2018/8/1

Y1 - 2018/8/1

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U2 - 10.1016/S2213-8587(17)30372-8

DO - 10.1016/S2213-8587(17)30372-8

M3 - Comment/debate

AN - SCOPUS:85035119967

SN - 2213-8587

VL - 6

SP - 595

EP - 598

JO - The Lancet Diabetes and Endocrinology

JF - The Lancet Diabetes and Endocrinology

IS - 8

ER -

Using big data for non-communicable disease surveillance

ASJC Scopus subject areas

UN SDGs

Access to Document

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