Search Results - "Mayorga, Maria E"

Engaging stakeholders in the use of an interactive simulation tool to support decision-making about the implementation of colorectal cancer screening interventions by O’Leary, Meghan C., Hassmiller Lich, Kristen, Mayorga, Maria E., Hicklin, Karen, Davis, Melinda M., Brenner, Alison T., Reuland, Daniel S., Birken, Sarah A., Wheeler, Stephanie B.

“…Purpose We aimed to understand how an interactive, web-based simulation tool can be optimized to support decision-making about the implementation of…”
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Quantifying association and disparities between diabetes complications and COVID-19 outcomes: A retrospective study using electronic health records by Paramita, Ni Luh Putu S. P, Agor, Joseph K, Mayorga, Maria E, Ivy, Julie S, Miller, Kristen E, Ozaltin, Osman Y

“…Background Despite established relationships between diabetic status and an increased risk for COVID-19 severe outcomes, there is a limited number of studies…”
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COVSIM: A stochastic agent-based COVID-19 SIMulation model for North Carolina by Rosenstrom, Erik T., Ivy, Julie S., Mayorga, Maria E., Swann, Julie L.

“…We document the evolution and use of the stochastic agent-based COVID-19 simulation model (COVSIM) to study the impact of population behaviors and public…”
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Colorectal cancer screening in newly insured Medicaid members: a review of concurrent federal and state policies by O'Leary, Meghan C, Lich, Kristen Hassmiller, Gu, Yifan, Wheeler, Stephanie B, Coronado, Gloria D, Bartelmann, Sarah E, Lind, Bonnie K, Mayorga, Maria E, Davis, Melinda M

“…Colorectal cancer (CRC) screening is underutilized by Medicaid enrollees and the uninsured. Multiple national and state policies were enacted from 2010 to 2014…”
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Modeling the Impact of Nonpharmaceutical Interventions on COVID-19 Transmission in K-12 Schools by Zhang, Yiwei, Mayorga, Maria E, Ivy, Julie, Hassmiller Lich, Kristen, Swann, Julie L.

“…Background. The novel coronavirus SARS-CoV-2 spread across the world causing many waves of COVID-19. Children were at high risk of being exposed to the disease…”
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Cross-sector decision landscape in response to COVID-19: A qualitative network mapping analysis of North Carolina decision-makers by Biddell, Caitlin B, Johnson, Karl T, Patel, Mehul D, Smith, Raymond L, Hecht, Hillary K, Swann, Julie L, Mayorga, Maria E, Hassmiller Lich, Kristen

“…The COVID-19 pandemic response has demonstrated the interconnectedness of individuals, organizations, and other entities jointly contributing to the production…”
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Evaluating the potential impact of rubella-containing vaccine introduction on congenital rubella syndrome in Afghanistan, Dem. Republic of Congo, Ethiopia, Nigeria, and Pakistan: A mathematical modeling study by Rodriguez-Cartes, Sebastian A, Zhang, Yiwei, Mayorga, Maria E, Swann, Julie L, Allaire, Benjamin T

“…We assessed the potential impact of introducing rubella-containing vaccine (RCV) on congenital rubella syndrome (CRS) incidence in Afghanistan (AFG),…”
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Simulated estimates of pre-pregnancy and gestational diabetes mellitus in the US: 1980 to 2008 by Mayorga, Maria E, Reifsnider, Odette S, Neyens, David M, Gebregziabher, Mulugeta G, Hunt, Kelly J

“…To simulate national estimates of prepregnancy and gestational diabetes mellitus (GDM) in non-Hispanic white (NHW) and non-Hispanic black (NHB) women…”
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Improving emergency service in rural areas: a bi-objective covering location model for EMS systems by Chanta, Sunarin, Mayorga, Maria E., McLay, Laura A.

“…Emergency medical service (EMS) systems are public services that often provide the first line of response to urgent health care needs within a community…”
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Joint location and dispatching decisions for Emergency Medical Services by Toro-Díaz, Hector, Mayorga, Maria E., Chanta, Sunarin, McLay, Laura A.

“…► Location and dispatching decisions for EMS systems were combined in a single model. ► Mean system response time and expected coverage were the basic…”
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A nested-compliance table policy for emergency medical service systems under relocation by Sudtachat, Kanchala, Mayorga, Maria E., Mclay, Laura A.

“…The goal of Emergency Medical Service (EMS) systems is to provide rapid response to emergency calls in order to save lives. This paper proposes a relocation…”
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The optimal assignment of spontaneous volunteers by Mayorga, Maria E., Lodree, Emmett J., Wolczynski, Justin

“…Spontaneous volunteers are ordinary citizens who assist in disaster relief efforts, while they are a great resource they also pose a difficult logistical…”
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Multilevel predictors of colorectal cancer testing modality among publicly and privately insured people turning 50 by Wheeler, Stephanie B, Kuo, Tzy-Mey, Meyer, Anne Marie, Martens, Christa E, Hassmiller Lich, Kristen M, Tangka, Florence K.L, Richardson, Lisa C, Hall, Ingrid J, Smith, Judith Lee, Mayorga, Maria E, Brown, Paul, Crutchfield, Trisha M, Pignone, Michael P

“…Abstract Understanding multilevel predictors of colorectal cancer (CRC) screening test modality can help inform screening program design and implementation. We…”
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Prepositioning disaster relief supplies using robust optimization by Velasquez, German A, Mayorga, Maria E, Özaltın, Osman Y

“…Emergency disaster managers are concerned with responding to disasters in a timely and efficient manner. We are concerned with determining the location and…”
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Introduction to the Special Issue on Analytical Methods for Detecting, Disrupting, and Dismantling Illicit Operations by Sharkey, Thomas C, Keskin, Burcu B, Konrad, Renata, Mayorga, Maria E

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A Maximum Expected Covering Problem for District Design by Ansari, Sardar, McLay, Laura Albert, Mayorga, Maria E.

“…The optimal location of ambulances in a geographic region is interrelated with how the ambulances are dispatched to patients. Papers in the literature often…”
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Ambulance redeployment and dispatching under uncertainty with personnel workload limitations by Enayati, Shakiba, Özaltın, Osman Y, Mayorga, Maria E, Saydam, Cem

“…Emergency Medical Services (EMS) managers are concerned with responding to emergency calls in a timely manner. Redeployment and dispatching strategies can be…”
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Interpretable models for the automated detection of human trafficking in illicit massage businesses by Tobey, Margaret, Li, Ruoting, Özaltın, Osman Y, Mayorga, Maria E, Caltagirone, Sherrie

“…Sexually oriented establishments across the United States often pose as massage businesses and force victim workers into a hybrid of sex and labor trafficking,…”
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The SMART Framework: Selection of Machine Learning Algorithms With ReplicaTions-A Case Study on the Microvascular Complications of Diabetes by Swan, Breanna P., Mayorga, Maria E., Ivy, Julie S.

“…Over 34 million people in the US have diabetes, a major cause of blindness, renal failure, and amputations. Machine learning (ML) models can predict high-risk…”
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Declining liver graft quality threatens the future of liver transplantation in the United States by Orman, Eric S., Mayorga, Maria E., Wheeler, Stephanie B., Townsley, Rachel M., Toro‐Diaz, Hector H., Hayashi, Paul H., Sidney Barritt, A.

“…National liver transplantation (LT) volume has declined since 2006, in part because of worsening donor organ quality. Trends that degrade organ quality are…”
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