The intersection of big data and epidemiology for epidemiologic research: The impact of the COVID-19 pandemic-Reference-Cited by-同舟云学术

The intersection of big data and epidemiology for epidemiologic research: The impact of the COVID-19 pandemic

Published:2021-09-12 Issue:4 Volume:33 Page:
ISSN:1353-4505
Container-title:International Journal for Quality in Health Care
language:en
Short-container-title:

Author:

Tang Chunlei¹²³^ORCID,Plasek Joseph M¹²^ORCID,Zhang Suhua⁴,Xiong Yun⁵^ORCID,Zhu Yangyong⁵,Ma Jing²^ORCID,Zhou Li¹²,Bates David W¹²³^ORCID

Affiliation:

1. Division of General Medicine and Primary Care, Brigham and Women’s Hospital, Boston, MA 021120, USA

2. Harvard Medical School, Boston, MA 02115, USA

3. Clinical and Quality Analysis, Mass General Brigham, Boston, MA 02145, USA

4. Department of Kidney Disease, Suzhou Kowloon Hospital, Jiangsu 215021, China

5. Shanghai Key Laboratory of Data Science, School of Computer Science, Fudan University, Shanghai 20438, China

Abstract

Abstract Big data epidemiology facilitates pandemic response by providing data-driven insights by utilizing big data tools that differ from traditional methods. Aspects regarding ‘garbage in, garbage out’, such as insufficient data, inaccessibility of data, missing data, uncertainty in handling data and bias in analysis or common findings are addressable by combining techniques across disciplines.

Publisher

Oxford University Press (OUP)

Subject

Public Health, Environmental and Occupational Health,Health Policy,General Medicine

Link

http://academic.oup.com/intqhc/advance-article-pdf/doi/10.1093/intqhc/mzab134/40351748/mzab134.pdf

Reference9 articles.

1. A Dictionary of Epidemiology (DRAFT)

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