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BookletGuidance note: Risk communication and community engagement
Coronavirus disease 2019 (COVID-19) pandemic
2020Information is a form of assistance in itself. Access to accurate information can allow people to make informed decisions to protect themselves. Moreover, understanding drivers of behaviour and integrating that understanding into communication approaches can make information more likely to result in desired action. Preparedness and response activities should be based on protection and related “do no harm” principles and conducted in a participatory manner that is informed by community feedback. Communication efforts must respond to stakeholder concerns, mis/disinformation and behavioral factors. Transparent and consistent messaging in local languages through trusted channels can help address barriers to change. Furthermore, by using community-based networks, engaging key influencers and building local capacities, communication can more effectively mitigate risks to more efficiently establish the authority and trust required to rapidly mount responses. Hence, Risk communication and community engagement (RCCE) refers to the processes and approaches to systematically consult, engage and communicate with communities who are at risk, or whose practices affect risk. The aim is to encourage, enable and include stakeholders in the prevention of and response to risks by adapting communication to local realities. In the case of COVID-19, RCCE enables authorities and communities to work together to promote healthy behaviour and reduce the risk of spreading infectious diseases. The Food and Agriculture Organization of the United Nations (FAO) developed this guidance note to support Pillar IV of the country-level activities under the framework of FAO’s component of the Global Humanitarian Response Plan for COVID-19: “Ensuring food supply chain actors are not at risk of COVID 19 transmission” through risk communication and community engagement (RCCE), together with the World Health Organization (WHO) and national authorities. In alignment with the Organization’s commitments on Accountability to Affected Populations (AAP), this guidance note aims to support country offices in designing and implementing inclusive RCCE initiatives. -
Book (stand-alone)School nutrition education programmes in the Pacific Islands: Scoping review and capacity needs assessment
Final report
2019Also available in:
No results found.The School Nutrition Education Programme (SNEP) is an intervention to educate school students on nutrition and food preparation with the aim of influencing healthy nutrition choice and practice at an age when life time behaviour habits are developing and in the wider community. FAO defines School Food Nutrition Education as consisting of coherent educational strategies and learning activities, with environmental supports, which help schoolchildren and their communities to achieve sustainable improvements in their diets and in food- and lifestyle-related behaviours, perceptions, skills and knowledge; and to build the capacity to change, to adapt to external change and to act as agents of change. This publication is the scopy study and capacity needs assessment and final report for the SNEP project. -
DocumentFAO-MOSAICC: The FAO modelling system for agricultural impacts of climate change to support decision-making in adaptation 2011
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No results found.The Food and Agriculture Organization of the United Nations (FAO) has developed in partnership with European research institutes an integrated package of models to carry out climate change impact assessment studies at the national level. This package, called FAOMOSAICC (for Modelling System for Agricultural Impacts of Climate Change), allows for climate data downscaling, spatial interpolation, hydrological modelling, and crop and economic simulations, to be carried out sequentially. FAO-MOSAICC is designed to be distributed to national institutions in developing countries. While FAO-MOSAICC can be used for a wide range of analyses (climate change impacts on water resources, crop yields etc.), its ultimate 2 objective is to identify the most robust adaptation strategies to mitigate the potentially adverse effects of climate change on national food security. This paper describes the modelling system with a focus on the Dynamic Computable General Equilibrium (DCGE) model that simulates th e effects of climate-change-induced changes in crop yields on national economies over time. To make the use of the model as cheap as possible for use by national institutions, it uses an open source programming language and free software to solve the model. The model can be implemented and solved on Windows and Linux platforms. Some features of the model will be illustrated by a test of the model on Moroccan data with projections over the period 2001-2030.
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