A Comment on planetary health and Indigenous land rights, in the context of SDGs 3, 15, and 17, focusing specifically on safeguarding biological and cultural diversity to halt ecosystem destruction, disease emergence, and climate change.
This Viewpoint supports SDG 3 by highlighting why investing in disease surveillance in remote rural areas of LMICs will benefit global communities, and using Kenya as an example, showing how such surveillance can be strengthened and integrated into existing systems while sustaining biodiversity.
This Comment article supports SDG 3, 13, and 17 by advocating the creation of a new model of multilateral governance on the basis of the experience gained in two other areas of global public goods governance—climate change and biodiversity.
A Personal View on the determinants of planetary health from the perspective of Indigenous peoples, in the context of SDGs 15 and 17, focusing specifically on identifying determinants that are integral to the health and sustainability of the planet.
The role of science in influencing climate policy.
This chapter advances the UN SDG goals 3 and 17 discusses the links of Amyloid β(Aβ) to AD.
In order to address the impacts of climate change, this manuscript presents a strategy developed to create a central resource, database and web-based platform to integrate data and information on the drivers and the changes within Guyana coastal and marine environment.
All aspects of sustainable development - biodiversity, food production, water treatment, climate change, energy opimisation - in years to come will capitalize greatly on digitalization.
A Comment on the collective action required to tackle the environmental crisis, in the context of SDGs 12, 13, and 17, calling for a limit to increases in average global temperatures, a halt in the destruction of nature, and the protection of health to be prioritised.
Scientific research is governed by strict disciplinary norms and symbolic boundaries. This highly structured context is the space of probables, which dictates what research is likely to occur.
