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DocumentOther documentFinal Report: Workshop On Integrated Surveillance And Information Sharing Using Tripartite Zoonotic Guide-Surveillance Information Sharing Operational Tool (Tzg-Sis Ot) For Cross-Sectoral Zoonoses In Indonesia
4-8 October 2021
2024Also available in:
No results found.SIS OT is an operational tool for guiding a gradual assessment process on a specific country's (in this example, Indonesia's) integrated surveillance capacity and cross-sectoral information system for zoonotic disease. A cross-sector Surveillance and Information Sharing System coordinated by One Health (OH) is critical for the rapid detection of zoonotic disease events in a country, using information from animal health, human health, environment, and other relevant sectors. Under a cross-sectoral OH coordination, SIS OT assists national authorities in their efforts to create and strengthen zoonotic disease surveillance and information sharing (SIS).During the SIS OT workshop, participants agreed on the scope and rationale for zoonotic disease targets such as Rabies, Avian Influenza, Japanese Encephalitis, Nipah, Anthraks, Leptospirosis, and others. The followings were established during the SIS OT workshop, which took place from 5-7 October 2021: 1) a step-wise methodology for independent evaluation of current national structures or systems; 2) a list of target activities to be completed, a plan for improving surveillance and information sharing, and a timetable for the development of integrated surveillance national system for zoonotic disease; and 3) a list of resources to support the list of activities, based on nationally determined priorities and unique situational needs.The SIS OT recommendations will be implemented during three time periods. Each activity is led by a ministry/institution, with other ministries/agencies assisting its implementation. Since 2021, a portion of SIS OT activities have been carried out concurrently and will continue to be carried out according to the specified timetable. -
MeetingMeeting documentStatistical Information on Food-borne Disease In Europe microbiological and chemical hazards 2002Foodborne disease caused by microbiological hazards is a large and growing public health problem. Most countries with systems for reporting cases of foodborne diseases have documented significant increases over the past few decades in the incidence of diseases caused by micro-organisms in food, including Salmonella spp., Campylobacter jejuni, Listeria monocytogenes or E. coli O157 among others. Chemicals are a significant source of foodborne diseases, although effects are often difficult to link with a particular food. Chemical contaminants in food include natural toxicants such as mycotoxins or environmental contaminants such as dioxins, mercury, lead, and radionuclides. Food additives, pesticide and veterinary drugs are widely used too and it is essential to assure that these uses are safe. Surveillance of foodborne disease and food contamination monitoring are essential tools for risk assessment. For this reason main efforts are directed to the development of adequate meth ods of surveillance of foodborne diseases and food contamination monitoring to provide the necessary data for quantitative microbiological and chemical risk assessment. This paper presents both data on foodborne diseases in the European Region and information on chemical contaminants, additives and residues in foods that may have an adverse impact in health. Future directions to prevent both microbiological and chemical hazards are discussed.
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ArticleJournal articleA method to prioritize the surveillance of chemicals in food commodities to access international market and its application to four countries in Sub-Saharan Africa 2020
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No results found.The purpose of this study was to propose an approach to predict the distribution of chemicals in food in developing countries to assess consumer risk and access to the international market with a limited number of laboratory analyses. The first step consists of identifying the GEMS/Food Contaminants database and the chemical/food combination relevant for a particular country. The identification of critical chemical/food combination should be used to prioritize the analysis to be performed in a total diet study (TDS). The second step consists of modeling a distribution model based on the mean concentration generated from TDS associated with the variability observed in a larger dataset consisting of individual food contamination data from the GEMS food database. The simulated distributions may provide information regarding how to establish food safety standards and to assess the potential for accessing international market in the context of a value chain. This method is illustrated by case studies from the recent Regional TDS (RTDS) conducted in Sub Saharan Africa. We concluded that further work is needed to gain experience and to fully validate this approach. However, organized data sharing and developing harmonized methods for data analysis are key roles for international organizations, such as FAO, WHO, and WTO. Finally, it is important to remember that such a data-driven approach still requires significant investments in terms of human resources and analytical capacity.
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Book (stand-alone)Technical bookFood loss analysis: causes and solutions – The Republic of Uganda. Beans, maize, and sunflower studies 2019
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No results found.This report illustrates the food loss assessment studies undertaken along the maize, sunflower and beans supply chains in Uganda in 2015-16 and 2016-17. They aimed to identify the critical loss points in the selected supply chains, the key stages at which food losses occur, why they occur, the extent and impact of food losses and the economic, social and environmental implications of the food losses. Furthermore, these studies also evaluated the feasibility of potential interventions to reduce food losses and waste. -
BookletManual / guideGuide to formulating gendered social norms indicators in the context of food security and nutrition 2022
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At present, there is no standard or validated set of social norms indicators for food security and nutrition, and there is a general lack of clear and practical guidance and examples of such indicators for these sectors. Seeking to contribute to filling this gap, this guide will assist with formulating indicators to measure changes in gendered social norms in the context of food security and nutrition. It also offers an initial set of example indicators that programme implementers can draw on to assess social norms change in the context of food security and nutrition programmes. It draws from existing indicators from literature and programme experiences around measuring social norms, including in other sectors, and creates original indicators as well. This guide is designed for programme formulators and implementers, and monitoring and evaluation specialists responsible for creating and implementing M&E frameworks and systems for food security, agriculture and nutrition programmes. -
Book (series)Technical studyLatin America and the Caribbean - Regional Overview of Food Security and Nutrition 2023
Statistics and trends
2023Also available in:
The 2023 edition of the Regional Overview of Food Security and Nutrition in Latin America and the Caribbean presents an update of the data and trends in food security and nutrition in recent years. The impact of the COVID-19 pandemic, the climate crisis and the conflict in Ukraine, as well as the economic slowdown, rising food inflation and income inequality have had an impact on regional figures. The most recent data shows that, between 2021 and 2022, progress was made in reducing hunger and food insecurity in Latin America and the Caribbean. However, the progress achieved is far from the targets established to meet SDG 2 of ending hunger. In addition, one in five people in the region cannot access a healthy diet and malnutrition in all its forms, including child stunting, micronutrient deficiencies and obesity continue to be a major challenge.