A scientometric study on quantitative microbial risk assessment in water quality analysis across 6 years (2016–2021)

Abstract

Water contamination by microbes is a growing environmental challenge that has exacerbated the apparent scarcity of safe drinking water. To alleviate this challenge, it is important to screen water for pathogens to reduce the risk of contracting waterborne diseases among consumers. The use of the quantitative microbial risk assessment (QMRA) tool to approximate illness possibility from exposure to microorganisms using dose–response models between pathogens and their associated health impacts is, therefore, recommended. The aim of this study was to explore the use of QMRA in water quality assessment using a scientometric approach and data sourced from the Web of Science (WoS) database for the period between 2016 and 2021. Articles were searched in the WoS databases before downloading the content for a bibliometric analysis using the VOSviewer software. Additionally, Microsoft Excel was used to analyze the inter-relationships of the searched results. Journal articles had the highest results from the searched query at 90.6% compared to other forms of output. High-impact journals such as the Science of the Total Environment and Water Research had the highest number of publications at 11.056 and 7.5%, respectively. Keyword analysis showed the multidisciplinary nature of the search query based on the clustered themes. The USA and China showed greater publication output with a total of 51.7% of total publications compared to developing countries due to their high research potential and extensive collaborative networks. A similar trend was evident in the institutional analysis with the University of California, USA, and the Chinese Academy of Sciences being the highest research contributors with 8% of the searched output. The study highlighted the need to extend research inputs to developing countries of Africa and Asia to improve their research and development capacity, productivity and share knowledge on QMRA in water quality assessment.

Multivariate Statistical Analysis for Water Quality Assessment: A Review of Research Published between 2001 and 2020

“…It is one of the leading and most comprehensive journals focusing on various aspects such as the anthropogenic water cycle, water quality and water management, thus reflecting advances in water science, technology and policy [52]. Water Research was also the most productive journal in the scientometric study of drinking water treatment technologies [53] and the second most productive journal in scientometric study on quantitative microbial risk assessment in water quality analysis [54].…”

“…The highest h-index described in Table 3 is correlated with the highest production of research and citation in a country or territory. The USA has the highest h-index, corresponding to its high potential to conduct research [54]. China, which was the most productive country, shows a lower h-index than other countries such as Canada and Australia.…”