Embodying and Improving SODA

The Untapped Power of Soda Taxes: Incentivizing Consumers, Generating Revenue, and Altering Corporate Behavior

Globally, soda taxes are gaining momentum as powerful interventions to discourage sugar consumption and thereby reduce the growing burden of obesity and non-communicable diseases (NCDs). Evidence from early adopters including Mexico and Berkeley, California, confirms that soda taxes can disincentivize consumption through price increases and raise revenue to support government programs. The Unit...

Soda Taxes: The Importance of Analysing Policy Processes; Comment on “The Untapped Power of Soda Taxes: Incentivising Consumers, Generating Revenue, and Altering Corporate Behaviours”

Sarah A. Roache and Lawrence O. Gostin’s recent editorial comprehensively presents soda taxation rationales from a public health perspective. While we essentially agree that soda taxes are gaining momentum, this commentary expands upon the need for a better understanding of the policy processes underlying their development and implementation. Indeed, the umbrella concept of soda taxation actual...

Tapping the Power of Soda Taxes: A Call for Multidisciplinary Research and Broad-Based Advocacy Coalitions – A Response to the Recent Commentaries

Food environments near home and school related to consumption of soda and fast food.

In California, more than 2 million adolescents (58%) drink soda or other sugar-sweetened beverages every day, and more than 1.6 million adolescents (46%) eat fast food at least twice a week. Adolescents who live and go to school in areas with more fast food restaurants and convenience stores than healthier food outlets such as grocery stores are more likely to consume soda and fast food than te...

Prediction of Red Mud Bound-Soda Losses in Bayer Process Using Neural Networks

In the Bayer process, the reaction of silica in bauxite with caustic soda causes the loss of great amount of NaOH. In this research, the bound-soda losses in Bayer process solid residue (red mud) are predicted using intelligent techniques. This method, based on the application of regression and artificial neural networks (AAN), has been used to predict red mud bound-soda losses in Iran Alumina C...