Responding to Intergenerational Food Security and Nutrition Education Needs With Remote Programming

In-person intergenerational programming focused on nutrition education and healthy food access among older adults and preschool children in care settings was abandoned last year when COVID forced center closures. Food for a Long Life (FFLL), a 5-year community-based participatory research (CBPR) project, re-oriented programming in response to heightened community food insecurity and social isolation during COVID. With county Extension agents, FFLL modified and initiated new partnerships to expand food pantry services for several hundred families and deliver nutrition programming to youth (n=28) and older adult (n=130) participants in two states. In this presentation we share how the CBPR method supported adaptive programming and evaluation while continuing to advance project goals, including to promote the sustainability of an intergenerational food pantry and nutrition programming delivery after funding ends in summer 2021.

Considerations for Monitoring School Health and Nutrition Programs

School health and nutrition (SHN) interventions are among the most ubiquitous public health investments and comprise a key mechanism for reaching populations that are otherwise difficult to reach through the health system. Despite the critical role of monitoring these multisectoral programs to enable data-informed adaptive programming, information to guide program implementers is scant. This manuscript provides an overview of how monitoring indicators can be selected across a SHN program's logical framework, with specific examples across five SHN implementation models. Adaptation of SHN programs in times of school closures, such as those currently being experienced globally due to the emergence of COVID-19, is also addressed. Key aspects of SHN program monitoring are explored, including: (1) why monitor; (2) what to measure; (3) how to measure; and (4) who measures. In situations of school closures, strategies to shift both program activities and corresponding monitoring mechanisms are critical to understanding the rapidly evolving situation and subsequently guiding policy actions to protect vulnerable populations.

Defining ‘Better’ Better

This paper explores the importance of house and home for survivors of natural disaster: it protects from hazards and contributes to health, well-being and economic security. It examines the reconstruction of homes after a disaster as an opportunity to Build Back Better, re-defining ‘better’ as an holistic and people-centred improvement in housing. It questions the humanitarian shelter sector’s emphasis on structural safety while poor sanitation, inadequate vector control and smoke inhalation are responsible for many more deaths worldwide than earthquakes and storms. The paper extends this discussion by arguing that promoting ‘safer’ for a substantial number of families is better than insisting on ‘safe’ for fewer. The overall benefit in terms of lives saved, injuries avoided and reduced economic loss is greater when safer is prioritised over safe, and it frees resources for wider consideration of a ‘good home’ and the pursuance of ‘self-recovery’. The paper is informed by field research conducted in 2017 and 2018. Finally, implications for humanitarian shelter practice are outlined, with particular reference to self-recovery. It highlights a need for adaptive programming, knowledge exchange and close accompaniment so that families and communities can make informed choices with respect to their own recovery pathways.

Research on Coherent Clue Based Route Search for Travel Route Search

Further in geo-situating innovations with Location-based services (LBS), it is today basic designed for street systems near enclose a literary substance through vertices. Past work on trademark and best way to facilitate cover an arrangement of query keywords erstwhile examined as of late. Be that as it may, in a few reasonable outcomes, the best route may not persistently be entrancing. For instance, a tweaked route question is issued by giving a few insights that portray the spatial setting between Points on the route, any place the outcome is far away from the best one. Accordingly, during this paper, we tend to explore the some clue-based route search (CRS) that permit a client toward supply clues on keywords with special connections. Initial, we tends to proposition a greedy algorithm program, in addition to the adaptive programming algorithmic program. o enhance potency , we tend to build up a branch-and-bound algorithmic program that prunes of the additional vertices question process. To rapidly discover an applicant, we tend to propose AB-tree so as to stores, each separation with keywords data tree structure. Toward any downsize file measure; we tend to develop a PB-tree by using the prudence of a 2-jump mark list to pinpoint the hopeful. Top to bottom, tests are directed and confirm the commonness of our calculations and list structures.