Food security outcomes in agricultural systems models: Current status and recommended improvements

Improvement of food security is a common objective for many agricultural systems analyses, but how food security has been conceptualized and evaluated within agricultural systems has not been systematically evaluated. We reviewed the literature on agricultural systems analyses of food security at the household- and regionallevels, finding that the primary focus is on only one dimension of food security-agricultural output as a proxy for food availability. Given that food security comprises availability, access, utilization and stability dimensions, improved practice would involve more effort to incorporate food access and stability indicators into agricultural systems models. The empirical evidence base for including food access indicators and their determinants within agricultural systems models requires further development through appropriate short and longterm investments in data collection and analysis. Assessment of the stability dimension of food security (through time) is also particularly under-represented in previous work and requires the development and application of appropriate dynamic models of agricultural systems that include food security indicators, coupled with more formalized treatment of robustness and adaptability at both the regional and household levels. We find that agricultural systems models often conflate analysis of food security covariates that have the potential to improve food security (like agricultural yields) with an assessment of food security itself. Agricultural systems modelers should exercise greater caution in referring to analyses of agricultural output and food availability as representing food security more generally

Methods of nutrition surveillance in low-income countries

Background In 1974 a joint FAO/UNICEF/WHO Expert Committee met to develop methods for nutrition surveillance. There has been much interest and activity in this topic since then, however there is a lack of guidance for practitioners and confusion exists around the terminology of nutrition surveillance. In this paper we propose a classification of data collection activities, consider the technical issues for each category, and examine the potential applications and challenges related to information and communication technology. Analysis There are three major approaches used to collect primary data for nutrition surveillance: repeated cross-sectional surveys; community-based sentinel monitoring; and the collection of data in schools. There are three major sources of secondary data for surveillance: from feeding centres, health facilities, and community-based data collection, including mass screening for malnutrition in children. Surveillance systems involving repeated surveys are suitable for monitoring and comparing national trends and for planning and policy development. To plan at a local level, surveys at district level or in programme implementation areas are ideal, but given the usually high cost of primary data collection, data obtained from health systems are more appropriate provided they are interpreted with caution and with contextual information. For early warning, data from health systems and sentinel site assessments may be valuable, if consistent in their methods of collection and any systematic bias is deemed to be steady. For evaluation purposes, surveillance systems can only give plausible evidence of whether a programme is effective. However the implementation of programmes can be monitored as long as data are collected on process indicators such as access to, and use of, services. Surveillance systems also have an important role to provide information that can be used for advocacy and for promoting accountability for actions or lack of actions, including service delivery. Conclusion This paper identifies issues that affect the collection of nutrition surveillance data, and proposes definitions of terms to differentiate between diverse sources of data of variable accuracy and validity. Increased interest in nutrition globally has resulted in high level commitments to reduce and prevent undernutrition. This review helps to address the need for accurate and regular data to convert these commitments into practice

Urban agriculture, dietary diversity and child health in a sample of Tanzanian town folk

Undernutrition and micronutrient deficiency continue to be two of the major health burdens in less developed economies. In this study, we explore the link between urban agriculture, dietary diversity and child health, using weight-for-age and height-for-age Z-scores. The study makes use of two rounds of observational data for urban Tanzania and employs an instrumental variables estimation approach. We show that practising urban agriculture leads to the consumption of a greater variety of food items and the health status of urban children living in households practising urban agriculture significantly improves in the short and, more importantly, long term

Influence of Seasonal On-Farm Diversity on Dietary Diversity: A Case Study of Smallholder Farming Households in Western Kenya

This study explored the associations between dietary patterns and farm diversity as well as socioeconomic variables during two seasons in rural Western Kenya. As a mean of two surveys, the average dietary diversity scores (DDS) of households and women were low, implying low household economic access to food and low women’s dietary quality. The Food Consumption Score (FCS) showed that acceptable levels of food consumption were realized over seven consecutive days in the 2014 survey by the majority of households (83%) and women (90%). While there was no strong association between the food scores and seven farm diversity indicators, both food scores were significantly associated with the household’s wealth status, ethnicity of both the household head and the spouse, and the education level of the spouse. For holistic household food and nutrition security approaches, we suggest a shift from a focus on farm production factors to incorporating easily overlooked socioeconomic factors such as household decision-making power and ethnicity