Data & Analytics

Data and analytics are increasingly recognized as fundamental elements in achieving the Sustainable Development Goals (SDGs). These 17 goals, adopted by the United Nations in 2015, aim to address global challenges such as poverty, inequality, climate change, environmental degradation, peace, and justice. Each goal is interconnected, requiring a holistic approach to achieve sustainable development by 2030. Within this framework, SDG 17, "Partnerships for the Goals," is particularly crucial as it highlights the need for high-quality, timely, and reliable data to drive progress across all goals.

The importance of data and analytics in realizing the SDGs cannot be overstated. Accurate and insightful data is necessary for several key aspects: assessing current progress, identifying existing gaps, informing policy-making, and guiding the allocation of resources. For instance, in addressing SDG 1, "No Poverty," data helps in understanding the demographics of poverty, allowing for targeted interventions. Similarly, for SDG 3, "Good Health and Well-being," data analytics play a crucial role in tracking disease outbreaks, understanding health trends, and improving healthcare delivery.

In the education sector, under SDG 4, "Quality Education," data can inform about areas where educational resources are lacking or where dropout rates are high, guiding efforts to enhance education systems. Additionally, for SDG 13, "Climate Action," data is indispensable for understanding climate patterns, predicting future scenarios, and formulating strategies to mitigate and adapt to climate change.

Advancements in data collection and analytics methods have opened up new possibilities. Mobile technology, for example, has revolutionized data collection, enabling real-time gathering and dissemination of information even in remote areas. Remote sensing technologies, such as satellite imagery, provide critical data on environmental changes, agricultural patterns, and urban development. These methods not only expand the scope of data collection but also enhance its accuracy and timeliness.

However, challenges remain in harnessing the full potential of data for the SDGs. These include issues related to data availability, quality, accessibility, and interoperability. In many parts of the world, especially in developing countries, there is a significant data deficit. This gap hinders the ability to make informed decisions and effectively address the SDGs. Moreover, data collected must be reliable and relevant to be useful in policy formulation and implementation.

To overcome these challenges, partnerships between governments, private sector, academia, and civil society are vital. These collaborations can foster innovation in data collection and analytics, ensure data sharing, and build capacities for data analysis. Furthermore, there is a need for a global framework to standardize data collection and reporting methods, which will facilitate comparison and aggregation of data across regions and countries.

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.
These dashboards present data from the World Development Indicators (WDI) that help to monitor the Sustainable Development Goals (SDGs).
An Article in support of SDG 3, showing that in a sample of hospitalised people contributing data to the WHO Global Clinical Platform for COVID-19, HIV was an independent risk factor for both severe COVID-19 at admission and in-hospital mortality.
This health policy supports SDGs 3 and 6, focusing on the neglected health issue of drowning. The paper discusses ways in which the issue can be framed to align with external priorities, particularly political contexts.
An Article on the global prevalence, mortality, and disability-adjusted life-years of hepatitis B, in the context of SDG 3, focusing specifically on a comparison of estimates to WHO elimination targets.
Cirium develops a methodology to calculate the most accurate, historic, and predicted flight emissions data in the marketplace. This will allow airlines to track the fuel efficiency of their operations and customers to track and choose the lowest possible carbon footprint when they travel. This supports climate action and SDG 13.
An Article on the burden of mental disorders among young people, in the context of SDG 3, focusing specifically on substance use disorders and self-harm in Europe.
An Article in support of all SDGS, particularly SDGs 4, 13, and 17, assessing the interlinkages between the 17 SDGs and climate change.
This Review supports SDG 3, systematically reviewing the availability of HIV-1 viral sequences from antiretroviral therapy naive and experienced people, because these sequences are important in understanding HIV-1 drug resistance.
This paper concludes that the SIVESNU (Sistema de Vigilancia Epidemiológica de Salud y Nutrición) surveillance platform is a critical tool for government and partners, addresses key data gaps, and provides high-quality data used to monitor and improve public health in Guatemala.