COVID-19 Big Data Highlight New Environmental Research Frontiers and Current Spotlights

12 Pages Posted: 16 Feb 2022

See all articles by Jie Han

Jie Han

Institute of Global Environmental Change, School of Human Settlements and Civil Engineering, Xi’an Jiaotong University

Han Dai

Department of Environmental Science and Engineering, Xi’an Jiaotong University, Xi’an 710049, P.R. China

Yi Bai

Institute of Global Environmental Change, School of Human Settlements and Civil Engineering, Xi’an Jiaotong University, Xi’an 710049, P.R. China

Date Written: February 13, 2022

Abstract

The novel coronavirus disease (COVID-19) brought unprecedented challenges to public health authorities, healthcare workers, and scientific researchers around the globe. In the past two years, environmental scientists around the world conducted extensive amounts of research focusing on the environmental transmission and persistence of the novel coronavirus, as well as the reverse impact of COVID-19 on the environment by the changing human behavoirs. This vast and growing body of scientific literature provides invaluable references for decision-makers, yet it also presents a daunting task for one to acquire the essential knowledge for decision-making or to find major gaps to prioritize future research efforts. Data science offers efficient tools for scientists and policy-makers to cope with the need to harness the wealth of information from what is becoming the largest collection of scientific publications on a human pandemic in history. We highlight the prospective use of data-driven tools to gain quick insights into current findings and scholarly opinions to aid in the decision-making and the development of effective and environmentally sustainable solutions for infection prevention and control of COVID-19. The application of data analytics on scientific publications is expected to have an increasingly important role in future decision-making and research prioritization when tackling grand challenges in the future uncertain world.

Keywords: Coronavirus; infectious disease; novel pathogen; scientometric analysis; data science

Suggested Citation

Han, Jie and Dai, Han and Bai, Yi, COVID-19 Big Data Highlight New Environmental Research Frontiers and Current Spotlights (February 13, 2022). Available at SSRN: https://ssrn.com/abstract=4033554 or http://dx.doi.org/10.2139/ssrn.4033554

Jie Han (Contact Author)

Institute of Global Environmental Change, School of Human Settlements and Civil Engineering, Xi’an Jiaotong University ( email )

28 Xianning West Road
Xi'an Jiaotong University
Xi'an, Shaanxi 710049
China

HOME PAGE: http://gr.xjtu.edu.cn/web/jiehan/covid-19

Han Dai

Department of Environmental Science and Engineering, Xi’an Jiaotong University, Xi’an 710049, P.R. China ( email )

China

Yi Bai

Institute of Global Environmental Change, School of Human Settlements and Civil Engineering, Xi’an Jiaotong University, Xi’an 710049, P.R. China ( email )

Xi'an
China

Do you have negative results from your research you’d like to share?

Paper statistics

Downloads
44
Abstract Views
263
PlumX Metrics