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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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A toolkit designed to support with developing effective community engagement strategies for different emergencies with specific tools for natural hazards, conflicts, disease outbreaks, epidemics, and complex emergencies.
28 May 2021
Contact tracing is a key component of a public health response to infectious disease outbreaks. The purpose of this guidance is to reinforce the place of community engagement and participation in the contact tracing process. The guidance and related products articulate best practice pri
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nciples for community engagement and how they can be operationalized as part of any community-centred contact tracing strategy. The material provided can stand on its own or be used to complement other documents that support strategies, implementation plans or training and capacity building modules.
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