O resolve the optimization models. Additional file 5: Includes population information and facts to calculate the incidence price by race/ethnicity that are above or under two times the federal poverty level. Additional file six: Delivers Cystic Fibrosis care center locations and simulated patient locations and demands that this short article used to carry out the case study. Abbreviations 2SFCA: Two-step floating catchment region; E2SFCA: Enhanced two-step floating catchment region; M2SFCA: Modified two-step floating catchment region; CF: Cystic fibrosis. Competing interests The authors declare that they’ve no competing interests. Authors’ contributions ZL participated inside the design on the study, implemented the computational model and information evaluation, and drafted the manuscript. NS and JLS carried out the study design and style and coordination and participated in information analysis. All authors contributed to interpretation of findings, preparing the manuscript, study and approved the final manuscript. Authors’ details Zihao Li is definitely an Operations Analysis Ph.D. student within the School of Industrial and Method Engineering (ISyE) at Georgia Institute of Technology (GT). Dr. Nicoleta Serban will be the Coca-Cola Associate Professor within the School of ISyE at GT. She received her B.S. in Mathematics and an M.S. in Theoretical Statistics and Stochastic Processes in the University of Bucharest. She went on to earn her Ph.D. in Statistics at Carnegie Mellon University. In 2010, she was granted the NSF Career award for analysis in service equity and access. Her researchrecord is pretty diverse, from mathematical statistics to modeling to information analysis to qualitative insights on causality and complexity. Dr. Serban’s study interests on Well being Analytics span various dimensions which includes large-scale information representation using a focus on processing patient-level health info into information features dictated by numerous considerations, including data-generation approach and data sparsity; machine studying and statistical modeling to Illion individuals worldwide, of which 85 to 95 accountable to Kind 2 diabetes in acquire know-how from a compilation of health-related datasets having a concentrate on geographic and temporal variations; and integration of statistical estimates into informed selection creating in healthcare delivery and into managing the complexity of your healthcare method. Dr. Julie Swann is the Harold R. and Mary Anne Nash Professor in the College of ISyE at GT. She is also a co-founder and co-director from the Health and Humanitarian Systems Center at GT. She received her B.S. in Industrial Engineering from GT in 1996 and her Ph.D. in Industrial Engineering and Management Sciences from Northwestern in 2001. In 2009?010 she was on loan towards the Centers for Disease Handle and Prevention (CDC) as a Senior Science Advisor for the H1N1 pandemic response to advise and evaluate the logistics of vaccine and healthcare countermeasures distribution to guard the American public. Her analysis specializes in provide chain management (in particular humanitarian networks) and health systems. Her study solutions have focused on integrating optimization models with financial ideas related to decentralized agents and on collaborating with other 164027512453468 disciplines to solve challenges in wellness policy. Dr. Swann was awarded the NSF career award in 2004 and 2014. Acknowledgments journal.pone.0169185 The authors thank Michael S. Schechter for delivering know-how of the existing well being network on the illness as well as the Cystic Fibrosis Foundation for delivering the location of care centers.