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.

Background: The population of older adults (ie, those aged ≥55 years) in England is becoming increasingly ethnically diverse. Previous reports indicate that ethnic inequalities in health exist among older adults, but information is limited by the paucity of data from small minority ethnic groups. This study aimed to analyse inequalities in health-related quality of life (HRQoL) and five determinants of health in older adults across all ethnic groups in England.

In recognition of International Women’s Day (IWD), Elsevier, a global leader in information analytics specializing in science and health, has launched a free access special issue of curated content focused on women and gender issues in health and sciences.


Chris D. Jones, Chapter 4 - Numerical modeling of the global climate and carbon cycle system, Editor(s): Trevor M. Letcher, Climate Change (Third Edition), Elsevier, 2021, Pages 67-91

This chapter advances SDGs 13 and 15 by applying numerical modeling techniques to better understand the global climate and utilize observations to identify impacts of climate change on Earth.
Blood donation saves lives, and the communication between blood centers and donors plays a vital role in this. Smart apps are now considered an important communication tool, and could be best utilized in blood donation if they are designed to fit the users’ needs and preferences.
Background: In 2016, of the estimated 257 million people living with chronic hepatitis B virus (HBV) infection worldwide, only a small proportion was diagnosed and treated. The insufficiency of information on the proportion of people infected with HBV who are eligible for treatment limits the interpretation of global treatment coverage. We aimed to estimate the proportion of people with chronic HBV infection who were eligible for antiviral treatment worldwide, based on the WHO 2015 guidelines.
The latest price movement in the European carbon markets (EU ETS) has reached its all-time high of €40/tonne, which demonstrates how much uncertainty is currently present in the market. Contributing to SDGs 12 and 13, this white paper provides scenario-based impact analysis of the market stability reserve in the context of the EU ETS review.

Materials and the Environment (Third Edition): Chapter 2 - Resource consumption and its drivers, Volume , 2021.

This book chapter advances SDG 12 by summarizing the orders of magnitude of the flow of materials, energy and water that material production entails.
This Article supports SDG 3 by summarising global, regional, and national estimates of the burden of tracheal, bronchus, and lung cancer and larynx cancer and their attributable risks from 1990 to 2019, and highlighting the importance of preventive measures such as smoking control interventions, air quality management programmes focused on major air pollution sources, and widespread access to clean energy.
Background: Patients from ethnic minority groups are disproportionately affected by Coronavirus disease (COVID-19). We performed a systematic review and meta-analysis to explore the relationship between ethnicity and clinical outcomes in COVID-19. Methods: Databases (MEDLINE, EMBASE, PROSPERO, Cochrane library and MedRxiv) were searched up to 31st August 2020, for studies reporting COVID-19 data disaggregated by ethnicity. Outcomes were: risk of infection; intensive therapy unit (ITU) admission and death. PROSPERO ID: 180654.
Elsevier, Current Opinion in Food Science, Volume 36, December 2020
The massive rise of Big Data generated from smartphones, social media, Internet of Things (IoT), and multimedia, has produced an overwhelming flow of data in either structured or unstructured format. Big Data technologies are being developed and implemented in the food supply chain that gather and analyse these data. Such technologies demand new approaches in data collection, storage, processing and knowledge extraction. In this article, an overview of the recent developments in Big Data applications in food safety are presented.