Data & Analytics

Data & Analytics play a vital role in the realization of the Sustainable Development Goals (SDGs). SDG 17 (Partnerships for the Goals) specifically emphasizes the need to enhance the availability of high-quality, timely, and reliable data. Accurate data and insightful analytics are essential for assessing progress, identifying gaps, making informed decisions, and creating effective policies related to each of the SDGs. For instance, they can help enhance education systems (SDG 4), optimize health services (SDG 3), reduce poverty (SDG 1), and mitigate climate change impacts (SDG 13). Moreover, advances in data collection methods, including mobile technology and remote sensing, can provide valuable insights for achieving sustainability. Therefore, robust data and analytics are integral to monitoring and accomplishing the SDGs.

Estimating national, demographic, and socioeconomic disparities in water insecurity experiences in low-income and middle-income countries in 2020–21: a cross-sectional, observational study using nationally representative survey data

Elsevier,

The Lancet Planetary Health, Volume 6, November 2022
This Article supports SDG 6, focusing on the variation in water insecurity between different sociodemographic groups in low-income and middle-income countries. The authors suggest that indiviudal-level measurements are needed to guide policy interventions that will serve those most in need.
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Articles

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Data & Analytics; Water and sanitation, Global

Visualization Techniques for Climate Change with Machine Learning and Artificial Intelligence - Chapter 7 - Impact of air quality as a component of climate change on biodiversity-based ecosystem services

Elsevier,

Sylvester Chibueze Izah, Adams Ovie Iyiola, Baturh Yarkwan, Glory Richard, Chapter 7 - Impact of air quality as a component of climate change on biodiversity-based ecosystem services, Editor(s): Arun Srivastav, Ashutosh Dubey, Abhishek Kumar, Sushil Kumar Narang, Moonis Ali Khan, Visualization Techniques for Climate Change with Machine Learning and Artificial Intelligence, Elsevier, 2023, Pages 123-148, ISBN 9780323997140
This content aligns with Goal 15: Life on Land and Goal 3: Good health and well-being by examining the impacts of air pollution on human health and the environment, and exploring strategies to move toward cleaner ambient air.
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Book chapters

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Biodiversity and ecosystems; Atmosphere; Data & Analytics, Global

Visualization Techniques for Climate Change with Machine Learning and Artificial Intelligence - Chapter 1 - Climate uncertainties and biodiversity: An overview

Elsevier,

Rohit Kamboj, Sweta Kamboj, Shikha Kamboj, Priyanka Kriplani, Rohit Dutt, Kumar Guarve, Ajmer Singh Grewal, Arun Lal Srivastav, Surya Prakash Gautam, Chapter 1 - Climate uncertainties and biodiversity: An overview, Editor(s): Arun Srivastav, Ashutosh Dubey, Abhishek Kumar, Sushil Kumar Narang, Moonis Ali Khan, Visualization Techniques for Climate Change with Machine Learning and Artificial Intelligence, Elsevier, 2023, Pages 1-14, ISBN 9780323997140
This content aligns with Goal 15: Life on Land by focusing on how biological systems are being affected by anthropogenic climate change at many dimensions, from ecosystems to genes, according to data from around the world.
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Book chapters

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Biodiversity and ecosystems; Data & Analytics, Global

It's high time Canada started collecting race-based performance data on medical training and careers

Elsevier,

The Lancet Regional Health - Americas, Volume 14, October 2022
This Viewpoint supports SDGs 3 and 16 by presenting a call to action to collect race-based performance data for medical professionals, focusing particularly on the Canadian context.
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Articles

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Data & Analytics; Diversity and inclusion, North America

Assessment of U.S. heart transplantation equity as a function of race: Observational analyses of the OPTN database

Elsevier,

The Lancet Regional Health - Americas, Volume 13, September 2022
This Article supports SDGs 3 and 16 by measuring the rate of heart transplantation among Black and White waitlist candidates. The findings suggest that transplantation rates, as well as the rate of delisting for death or clinical deterioration, has worsened for Black candidates compared with White candidates, and that the causes for this disparity require further study.
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Articles

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Data & Analytics; Diversity and inclusion, North America

Inclusivity in TAS research: An example of EDI as RRI

Elsevier,

Journal of Responsible Technology, Volume 12, December 2022, 100048
An investigation, linking particularly well to SDGs 10 and 5 focusing on equality, which shows how researchers can actively engage with equality, diversity and inclusion (EDI) in their work, and how EDI considerations must remain an ongoing effort. The authors, working in the field of responsible research and innovation (RRI), intentionally employed EDI in their project recruitment, and reflect here on the adjustments they made as a result. The recruitment of persons with disabilities led to some particularly interesting and new insights in this study looking at trustworthiness in the design of autonomous systems with evolving functionality.
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Articles

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Data & Analytics; Technology; Diversity and inclusion; Health and population, Global

Advances in Biological Wastewater Treatment Systems - Chapter 21 - Artificial intelligence for wastewater treatment

Community Care,

uan Cuong Nguyen, Thi Thanh Huyen Nguyen, Quoc Ba Tran, Xuan-Thanh Bui, Huu Hao Ngo, Dinh Duc Nguyen,

Chapter 21 - Artificial intelligence for wastewater treatment,

Editors: Xuan-Thanh Bui, Dinh Duc Nguyen, Ashok Pandey,

Advances in Biological Wastewater Treatment Systems,

Elsevier,

2022,

Pages 587-608,

ISBN 9780323998741
This chapter advances SDG 6 and 9 by outlining state-of-the-art development in the use of applied AI for wastewater treatment plants (WWTPs) with a focus on output, algorithms, data, and performance.
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Book chapters

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Water and sanitation; Data & Analytics; Wastewater, Global

A review on microplastics and nanoplastics in the environment: Their occurrence, exposure routes, toxic studies, and potential effects on human health

Elsevier,

Marine Pollution Bulletin, Volume 181, August 2022
This review focuses on the potential exposure routes, human health impacts, and toxicity response of MPs/NPs on human health, through reviewing the literature on studies conducted in different in vitro and in vivo experiments on organisms, human cells, and the human experimental exposure models.
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Articles

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Data & Analytics, Global

Development of a gamma ray dose rate calculation and mapping tool for Lagrangian marine nuclear emergency response models

Elsevier,

Marine Pollution Bulletin, Volume 181, August 2022
This paper discussed the development and testing of a gamma radiation dose rate calculation model for the marine environment, and evaluates the potential use for such a model in both short term nuclear emergency response management and emergency response planning.
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Articles

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Data & Analytics; Chemicals and waste, Global

Worldwide prevalence of hepatitis B virus and hepatitis C virus among patients with cirrhosis at country, region, and global levels: a systematic review

Elsevier, The Lancet Gastroenterology and Hepatology, Volume 7, August 2022
Background: Empirical, updated country-level estimates on the proportion of cirrhosis attributable to viral hepatitis are required. We estimated the prevalence of hepatitis B virus (HBV) and hepatitis C virus (HCV) infection in patients with cirrhosis at country, regional, and global levels as an approximation for the fractions of cirrhosis attributable to viral hepatitis. Methods: In this systematic review, we searched MEDLINE, Embase, Web of Science, and Scielo between Jan 1, 1993, and Aug 1, 2021.
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Articles

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Data & Analytics; Global; Health and wellbeing, Global

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