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Knowledge graph of wastewater-based epidemiology development: A data-driven analysis based on research topics and
Zhihan Gao1, Min Gao2, Chun-Hua Chen3
1School of Environment and Energy, South China University of Technology, Higher Education Mega Center, 510006, Guangzhou, China.
Wastewater-based epidemiology (WBE) research shows increasing global collaboration and evolving hotspots, from illicit drugs to COVID-19 surveillance. Knowledge graphs reveal trends in new psychoactive substances and biomarkers.
Area of Science:
- Environmental Science
- Public Health
- Data Science
Background:
- Wastewater-based epidemiology (WBE) is a key tool for monitoring public health threats, including drug use and viral transmission.
- Numerous research papers document WBE's contributions, highlighting the need for trend analysis.
Purpose of the Study:
- To analyze research hotspots and development trends in WBE from 2000 to 2021.
- To construct knowledge graphs from nearly 900 WBE-related papers using a text extraction tool.
Main Methods:
- Utilized LitStraw, a self-developed text extraction tool, for data processing.
- Extracted, analyzed, and constructed knowledge graphs from 900 PDF papers sourced from Web of Science.
- Performed bibliometric analysis to identify research trends and collaborations.
Main Results:
- Observed a growing trend in WBE publications and multidisciplinary collaborations.
- Identified key collaborating countries: USA, Australia, China, and European nations.
- Noted persistent research focus on illicit drugs and pharmaceuticals, with emerging trends in new psychoactive substances, biomarkers, and stability.
- Highlighted the rise of SARS-CoV-2 RNA detection in sewage for COVID-19 spread monitoring since 2020.
Conclusions:
- Knowledge graph construction provides a clear visualization of WBE's development.
- The study offers novel insights into paper mining analysis methods applicable to various scientific fields.
- WBE continues to evolve, adapting to new public health challenges like pandemics.
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