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Low-income populations, especially those belonging to minority groups, are among the most vulnerable groups before, during, and after a natural disaster. One of the factors that can be attributed to their vulnerability is the ineffectiveness of traditional risk communication systems in reaching this population. Many low-income populations are distrustful of government agencies and those who typically communicate risk messages. Consequently, traditional systems are not as effective in reaching these communities. Furthermore, traditional systems have been based on the social media that the general population uses and not based on social networks of disadvantaged populations which are more important than formal channels in these communities for dissemination of information. To bridge the gap, an approach is needed that relies on trusted agencies and leaders to educate and warn low-income communities about possible public health threats. A grassroots approach can enhance the capacity of the risk communication systems to more effectively reach vulnerable populations by engaging grassroots organizations in risk communication activities. The Guide to Enhance Grassroots Risk Communication Among Low-Income Populations provides strategies and guidance that can assist agencies in upgrading their systems for risk communication by building partnerships with local community stakeholders.

Food shortages following earthquake disasters lead to chronic food insecurity, malnutrition, illness, and an escalation in deaths. For Haiti, an island nation with limited resources, including food, resilience is more difficult without a framework to guide recovery. A model that proposes the use of partnership development and gardening interventions to achieve sustainable food relief is described. The approach involves assessment of needs, nutrition education and training, community and home gardens, partnerships, entrepreneurship, policy development, marketing, and the involvement of stakeholders in local and international communities. Application of the model may greatly enhance sustainable food supply for the most vulnerable populations in Haiti.

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