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\title{PLOS Science Wednesday:My name is Dr. Sanjay Basu, I published two
articles in PLOS Medicine modeling methods for preventing type 2
diabetes in India, including a hypothetical tax on sugar-sweetened be}



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\author[1]{r/Science AMAs}%
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  \date{April 24, 2026}


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\begin{abstract}
Hi Reddit, My name is Dr. Sanjay Basu, a physician and epidemiologist at
Stanford University working on the prevention and treatment of type 2
diabetes and cardiovascular disease worldwide. I recently published two
articles in PLOS Medicine that focus on diabetes prevention. In ``The
Health System and Population Health Implications of Large-Scale Diabetes
Screening in India: A Microsimulation Model of Alternative Approaches''
we found that large-scale community-based screenings in India are likely
to produce a large number of false-positive results, particularly if
using the currently available screening instruments. In ``Averting
Obesity and Type 2 Diabetes in India through Sugar-Sweetened Beverage
Taxation: An Economic-Epidemiologic Modeling Study'' we developed an
economic-epidemiologic model that found introducing sustained taxation
on sugar sweetened beverages could mitigate the increasing rate of
obesity and type 2 diabetes in India. We found that given current
consumption patterns, the relative effect of SSB taxes would be expected
among both urban and rural populations in India. This is important in
light of the increasing global prevalence of type 2 diabetes; the WHO
estimates that in 2014 the global prevalence of diabetes (of all types)
was already 9\% among adults aged 18+ years. In recognition that a focus
on prevention is critical to addressing climbing diabetes rates
globally, PLOS Medicine has called for papers on diabetes prevention for
a special issue. Publishing research on diabetes prevention is a top
priority for PLOS Medicine, but to be considered for this special issue,
all submissions are due on March 4 2016. To learn more about submitting
your research, read the ``Speaking of Medicine'' post. I will be
answering your questions at 1pm ET (10am PT, 6 pm UTC) -- Ask Me
Anything!%
\end{abstract}%



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