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Female genital mutilation (FGM) is a human rights violation deeply rooted in gender inequality and discrimination. FGM violates various human rights under international human rights law including, among others, the rights to equality, life and health and the rights to be free from discrimination, to
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rture and cruel, inhuman and degrading treatment. The failure by States to end this harmful practice against women and girls is a violation of States’ obligations to respect, protect and fulfil the enjoyment of all human rights. These obligations are accompanied by certain human rights accountability mechanisms that are critical in holding States to account for implementing their international and regional human rights obligations and commitments
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The publication "Aligning national drought plans with global and national policy frameworks" provides governments and practitioners with practical guidance on how to align national drought plans (NDPs) with existing policy, legal and institutional frameworks to enable effective implementation. It po
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sitions policy alignment as a core requirement for moving from reactive drought response to proactive, risk-based drought management, in line with national development priorities and international commitments.The report presents two complementary methodologies that support alignment across both the planning and implementation phases of NDPs. A multicriteria assessment framework is used to review the quality, readiness and internal coherence of drought plans, while a policy alignment approach examines how drought is recognized and addressed across sectoral policies, institutional mandates and coordination mechanisms.
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This report presents a WHO–PREZODE collaboration to develop and validate standardized indicators that assess the risk of zoonotic disease emergence by modeling pathogen circulation in animals and the risk of animal to human zoonotic spillover. The proposed indicators are intended to be actionable,
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i.e., to reflect the impact of the implementation of a prevention strategy along the process of zoonotic pathogen emergence and over time.
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This guidance addresses one type of generative AI, large multi-modal models (LMMs), which can accept one or more type of data input and generate diverse outputs that are not limited to the type of data fed into the algorithm. It has been predicted that LMMs will have wide use and application in heal
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th care, scientific research, public health and drug development. LMMs are also known as “general-purpose foundation models”, although it is not yet proven whether LMMs can accomplish a wide range of tasks and purposes.
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Western Pacific surveillance and response journal: WPSAR Vol.14 No. 6, Special Edition, pp.1-17
