Gretchen Stevens, Seth Flaxman, Emma Brunskill, Maya Mascarenhas, Colin D. Mathers, Mariel Finucane, on behalf of the Global Burden of Disease Hearing Loss Expert Group. (2011). “Global and regional hearing impairment prevalence: an analysis of 42 studies in 29 countries,” The European Journal of Public Health 2011. [PDF]
Background: Hearing impairment is a leading cause of disease burden, yet population-based studies that measure hearing impairment are rare. We estimate regional and global hearing impairment prevalence from sparse data and calculate corresponding uncertainty intervals. Methods: We accessed papers from a published literature review and obtained additional detailed data tabulations from investigators. We estimated the prevalence of hearing impairment by region, sex, age and hearing level using a Bayesian hierarchical model, a method that is effective for sparse data. As the primary objective of modelling was to produce regional and global prevalence estimates, including for those regions with scarce to no data, models were evaluated using cross-validation. Results: We used data from 42 studies, carried out between 1973 and 2010 in 29 countries. Hearing impairment was positively related to age, male sex and middle- and low-income regions. We estimated that the global prevalence of hearing impairment (defined as an average hearing level of 35 decibels or more in the better ear) in 2008 was 1.4% (95% uncertainty interval 1.0–2.2%) for children aged 5–14 years, 9.8% (7.7–13.2%) for females >15 years of age and 12.2% (9.7–16.2%) for males >15 years of age. The model exhibited good external validity in the cross-validation analysis, with 87% of survey estimates falling within our final model’s 95% uncertainty intervals. Conclusion: Our results suggest that the prevalence of child and adult hearing impairment is substantially higher in middle- and low-income countries than in high-income countries, demonstrating the global need for attention to hearing impairment.
K. Corcoran, S. Flaxman, M. Neyer, P. Scherpelz, C. Weidert, and R. Libeskind-Hadas. (2009). “Approximation Algorithms for Traffic Grooming in WDM Rings,” IEEE International Conference on Communications 2009. [PDF]
This paper addresses the problem of traffic grooming in WDM rings in which all traffic emanates from a single node and all other nodes are destination nodes. This “one-to-many” scenario arises in metropolitan access networks in which one node serves as a “hub” connecting the ring to a larger network as well as in video-on-demand and other multimedia services where a single source node serves a collection of subscriber nodes. The ring comprises a given number of wavelengths of uniform capacity and a variable number of tunable Add-Drop Multiplexers (ADMs) at each node. Given a set of requests at the destination nodes, where each request comprises a bandwidth demand and a profit for fulfilling the request, our objective is to select a subset of the requests and pack (“groom”) them onto the wavelengths such that no wavelength’s capacity is exceeded and the total profit of the selected requests is maximized. Although this problem is NP-complete, we give polynomial time approximation algorithms with excellent theoretical performance validated with experimental results.
S. Flaxman, J. Huang, J. Stephenson, and X. Comtesse. (2009). “CityRank: a dynamic tool for exploring and generating new indices of cities.” Information Design Journal. 17:3, January 2010. [explore CityRank.ch or view the submission as accepted by IDJ, without final copy edits or formatting, as a PDF---please do not redistribute]
In the context of data on cities, we present an example of how to make statistics relevant and meaningful to non-expert users. While the cities of the world are emerging as key players in global processes, from climate change to migration, the body of data on the cities of the world is neither extensive nor well-organized. Towards the end of organizing, understanding, and presenting this data, we have created an online framework called CityRank. To make this data relevant to users, CityRank allows users to upload new data sets and create and share personalized rankings of cities based on the data included in CityRank’s data repository.
S. Flaxman. (2008). “On the Optimality of Some Semidefinite Programming-Based Approximation Algorithms under the Unique Games Conjecture.” Senior honors thesis in computer science. Unpublished manuscript available in Harvard University Archives. [PDF]
In optimization, there is a direct connection between approximation algorithms and inapproximability results: approximation algorithms give lower bounds on how well we can do while inapproximability results give upper bounds. We look for a deeper connection in the case of two techniques: semidefinite programming, which has proved very successful in devising approximation algorithms, and the Unique Games Conjecture, which has led to many inapproximability results. Although on the surface these techniques seem to be unrelated, a series of recent papers suggests otherwise. Is it possible that the Unique Games Conjecture exactly captures the power of semidefinite programming? We state a conjecture formalizing this connection and investigate this conjecture for a small set of problems.