11 research outputs found

    Expansion of SNAP Online Purchasing Pilot to local food systems: An equity-focused policy brief

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    Online grocery shopping is recognized by the CDC as a strategy to limit COVID-19 exposure and has rapidly increased in popularity. However, SNAP participants can currently use benefits online with only a small selection of large retailers. While all retailers can apply to participate in the SNAP Online Purchasing Pilot, meeting technical standards required by the program is an expensive investment. Meanwhile, losses of essential revenue streams in local food systems are threatening small farms and minority farmers. Expansion of the SNAP Online Purchasing Pilot to local food retailers can promote safe healthy food access for low-resource households and increase market opportunity for farmers that are hurting financially. More importantly, sustaining the connection between local growers and their communities offers opportunity to erase health disparities burdening low-income and minority groups. Investing in this needed piece of infrastructure is one building block toward an equitable future in our food system.Master of Public Healt

    Spore dispersal and plant disease gradients : a comparison between two empirical models

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    Power law and exponential models were fitted to 325 sets of observations which described decreases with distance in deposition of air-borne or splash-borne spores, or pollen, or in amounts of plant disease caused by fungi, bacteria or viruses. There, was generally little difference between the models in the goodness of fit to these data, although deposition gradients for spores borne in splash droplets were fitted better by exponential models and gradients for fungi with air-borne spores less than 10 μm in diameter were fitted better by power law models. The exponential model has the property that the observed variable decreases by half as the distance from the source increases by a constant increment (the half-distance); this provides a measureof the gradient that is more easy to visualize than the exponent in power law model. The half-distances of gradients for air-borne pathogens were greater than those for splash-borne or soil-borne pathogens. The exponential model is easier to incorporate into models of disease development than the power law model because the boundary condition at the source (the estimated number of spores or amount of disease at the source) is finite rather than infinite. However, both these empirical models have limitations and should not be extrapolated to distances outside the observed range.Peer reviewe
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