Converting Big Data into public health

Isaac Chun-Hai Fung; Zion Tsz Ho Tse; King-Wa Fu

doi:10.1126/science.347.6222.620-c

Converting Big Data into public health

Isaac Chun-Hai Fung
, Zion Tsz Ho Tse
, King-Wa Fu

Biostatistics, Epidemiology & Environmental Health Sciences

University of Georgia
The University of Hong Kong

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

26 Scopus citations

Abstract

This letter was published in Science.

Original language	English
Pages (from-to)	620
Number of pages	1
Journal	Science
Volume	347
Issue number	6222
DOIs	https://doi.org/10.1126/science.347.6222.620-c https://doi.org/10.1126/science.347.6222.620-b
State	Published - Feb 6 2015

UN SDGs

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

SDG 3 Good Health and Well-being

Scopus Subject Areas

General

Disciplines

Public Health

Keywords

Social media
public health

Access to Document

10.1126/science.347.6222.620-c
10.1126/science.347.6222.620-bLicense: Unspecified

Cite this

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title = "Converting Big Data into public health",

abstract = " This letter was published in Science. ",

keywords = "Social media, public health",

author = "Fung, \{Isaac Chun-Hai\} and Tse, \{Zion Tsz Ho\} and King-Wa Fu",

note = "We concur with M. J. Khoury and J. P. A. Ioannidis ({"}Big data meets public health,{"} Perspectives, 28 November 2014, p. [1054][1]) that {"}a strong epidemiologic foundation, robust knowledge integration, principles of evidence-based medicine, and an expanded translation research agenda{"} can facilitate public health applications of Big Data.",

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doi = "10.1126/science.347.6222.620-c",

language = "English",

volume = "347",

pages = "620",

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T1 - Converting Big Data into public health

AU - Fung, Isaac Chun-Hai

AU - Tse, Zion Tsz Ho

AU - Fu, King-Wa

N1 - We concur with M. J. Khoury and J. P. A. Ioannidis ("Big data meets public health," Perspectives, 28 November 2014, p. [1054][1]) that "a strong epidemiologic foundation, robust knowledge integration, principles of evidence-based medicine, and an expanded translation research agenda" can facilitate public health applications of Big Data.

PY - 2015/2/6

Y1 - 2015/2/6

N2 - This letter was published in Science.

AB - This letter was published in Science.

KW - Social media

KW - public health

UR - https://www.scopus.com/pages/publications/84922471673

U2 - 10.1126/science.347.6222.620-c

DO - 10.1126/science.347.6222.620-c

M3 - Letter

C2 - 25657237

AN - SCOPUS:84922471673

SN - 0036-8075

VL - 347

SP - 620

JO - Science

JF - Science

IS - 6222

ER -

Converting Big Data into public health

Abstract

UN SDGs

Scopus Subject Areas

Disciplines

Keywords

Access to Document

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Cite this