The intersection of big data and epidemiology for epidemiologic research: The impact of the COVID-19 pandemic
Year: 2021
Type: article
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.
Language: English
Subfield: Epidemiology
Field: Medicine
Domain: Health Sciences
Open Access status: bronze
OpenAlex ID: W3198989413
