Journal Articles

Permanent URI for this collectionhttps://mro.massey.ac.nz/handle/10179/7915

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    Pathways to an Intergovernmental Panel on Pandemics: lessons from the IPCC and IPBES
    (Elsevier Ltd, 2025-10-09) Carlson CJ; Trisos CH; Oppenheim B; Bansal S; Davies SE; Diongue-Niang A; Fan VY; Kraemer JD; Golden Kroner R; Gostin LO; Hayman DTS; Koopmans M; Lavelle TE; das Neves CG; O'Donoghue Z; Pereira LM; Roche B; Sirleaf M; Zamanian K; Zambrana-Torrelio C; Phelan AL
    Pandemics pose a global threat to human wellbeing, justice, economies, and ecosystems and are comparable with other planetary crises such as climate change and biodiversity loss in terms of urgency and impact. The global community would benefit from a dedicated scientific synthesis body to assess pandemic risks and solutions. In this Personal View, we explore proposals for an Intergovernmental Panel on Pandemics and assess potential pathways to its creation. Learning lessons from the Intergovernmental Panel on Climate Change (IPCC) and the Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services (IPBES) might help national governments and international organisations to chart a course through important decisions about format, governance, operations, scientific scope and process, and ability to recommend policies that make the world safer.
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    Addressing the challenges of implementing evidence-based prioritisation in global health.
    (BMJ Publishing Group Ltd, 2023-08-02) Hayman DTS; Barraclough RK; Muglia LJ; McGovern V; Afolabi MO; N'Jai AU; Ambe JR; Atim C; McClelland A; Paterson B; Ijaz K; Lasley J; Ahsan Q; Garfield R; Chittenden K; Phelan AL; Lopez Rivera A; Abimbola S
    Global health requires evidence-based approaches to improve health and decrease inequalities. In a roundtable discussion between health practitioners, funders, academics and policy-makers, we recognised key areas for improvement to deliver better-informed, sustainable and equitable global health practices. These focus on considering information-sharing mechanisms and developing evidence-based frameworks that take an adaptive function-based approach, grounded in the ability to perform and respond to prioritised needs. Increasing social engagement as well as sector and participant diversity in whole-of-society decision-making, and collaborating with and optimising on hyperlocal and global regional entities, will improve prioritisation of global health capabilities. Since the skills required to navigate drivers of pandemics, and the challenges in prioritising, capacity building and response do not sit squarely in the health sector, it is essential to integrate expertise from a broad range of fields to maximise on available knowledge during decision-making and system development. Here, we review the current assessment tools and provide seven discussion points for how improvements to implementation of evidence-based prioritisation can improve global health.
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    The future of zoonotic risk prediction
    (The Royal Society, 2021-11-08) Carlson CJ; Farrell MJ; Grange Z; Han BA; Mollentze N; Phelan AL; Rasmussen AL; Albery GF; Bett B; Brett-Major DM; Cohen LE; Dallas T; Eskew EA; Fagre AC; Forbes KM; Gibb R; Halabi S; Hammer CC; Katz R; Kindrachuk J; Muylaert RL; Nutter FB; Ogola J; Olival KJ; Rourke M; Ryan SJ; Ross N; Seifert SN; Sironen T; Standley CJ; Taylor K; Venter M; Webala PW
    In the light of the urgency raised by the COVID-19 pandemic, global investment in wildlife virology is likely to increase, and new surveillance programmes will identify hundreds of novel viruses that might someday pose a threat to humans. To support the extensive task of laboratory characterization, scientists may increasingly rely on data-driven rubrics or machine learning models that learn from known zoonoses to identify which animal pathogens could someday pose a threat to global health. We synthesize the findings of an interdisciplinary workshop on zoonotic risk technologies to answer the following questions. What are the prerequisites, in terms of open data, equity and interdisciplinary collaboration, to the development and application of those tools? What effect could the technology have on global health? Who would control that technology, who would have access to it and who would benefit from it? Would it improve pandemic prevention? Could it create new challenges?