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Using electronic health records to identify candidates for human immunodeficiency virus pre-exposure prophylaxis: An application of super learning to risk prediction when the outcome is rare

CITE Title : Using electronic health records to identify candidates for human immunodeficiency virus pre-exposure prophylaxis: An application of super learning to risk prediction when the outcome is rare Personal Author(s) : Gruber, Susan;Krakower, Douglas;Menchaca, John T.;Hsu, Katherine;Hawrusik, Rebecca;Maro, Judith C.;Cocoros, Noelle M.;Kruskal, Benjamin A.;Wilson, Ira B.;Mayer, Kenneth H.;Klompas, Michael; Published Date : June 24 2020;10-15-; Source : Stat Med. 39(23):3059-3073 URL : https://stacks.cdc.gov/view/cdc/96810 Gruber, Susan et al. (2020). Using electronic health records to identify candidates for human immunodeficiency virus pre-exposure prophylaxis: An application of super learning to risk prediction when the outcome is rare. 39(23). Gruber, Susan et al. "Using electronic health records to identify candidates for human immunodeficiency virus pre-exposure prophylaxis: An application of super learning to risk prediction when the outcome is rare" 39, no. 23 (2020) Gruber, Susan et al. "Using electronic health records to identify candidates for human immunodeficiency virus pre-exposure prophylaxis: An application of super learning to risk prediction when the outcome is rare" vol. 39, no. 23, 2020 Export RIS Citation Information.

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Gruber, Susan ;

Krakower, Douglas

June 24 2020 | Stat Med. 39(23):3059-3073

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Methods:Data consisted of 180 covariates (demographic, diagnoses, treatments, prescriptions) extracted from records on 399 385 patient (150 cases) see...
Impact of Rapid Susceptibility Testing and Antibiotic Selection Strategy on the Emergence and Spread of Antibiotic Resistance in Gonorrhea

CITE Title : Impact of Rapid Susceptibility Testing and Antibiotic Selection Strategy on the Emergence and Spread of Antibiotic Resistance in Gonorrhea Personal Author(s) : Tuite, Ashleigh R.;Gift, Thomas L.;Chesson, Harrell W.;Hsu, Katherine;Salomon, Joshua A.;Grad, Yonatan H.; Published Date : Nov 27 2017 Source : J Infect Dis. 2017; 216(9):1141-1149. URL : https://stacks.cdc.gov/view/cdc/52803 Tuite, Ashleigh R. et al. (2017). Impact of Rapid Susceptibility Testing and Antibiotic Selection Strategy on the Emergence and Spread of Antibiotic Resistance in Gonorrhea. 216(9). Tuite, Ashleigh R. et al. "Impact of Rapid Susceptibility Testing and Antibiotic Selection Strategy on the Emergence and Spread of Antibiotic Resistance in Gonorrhea" 216, no. 9 (2017) Tuite, Ashleigh R. et al. "Impact of Rapid Susceptibility Testing and Antibiotic Selection Strategy on the Emergence and Spread of Antibiotic Resistance in Gonorrhea" vol. 216, no. 9, 2017 Export RIS Citation Information.

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Tuite, Ashleigh R. ;

Gift, Thomas L.

Nov 27 2017 | J Infect Dis. 2017; 216(9):1141-1149.

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BackgroundIncreasing antibiotic resistance limits treatment options for gonorrhea. We examined the impact of a hypothetical point-of-care (POC) test r...
Estimated Impact of Screening on Gonorrhea Epidemiology in the United States: Insights From a Mathematical Model

CITE Title : Estimated Impact of Screening on Gonorrhea Epidemiology in the United States: Insights From a Mathematical Model Personal Author(s) : Tuite, Ashleigh R;Rönn, Minttu M;Wolf, Emory E;Gift, Thomas L;Chesson, Harrell W;Berruti, Andres;Galer, Kara;Menzies, Nicolas A;Hsu, Katherine;Salomon, Joshua A; Published Date : November 2018 Source : Sex Transm Dis. 45(11):713-722 URL : https://stacks.cdc.gov/view/cdc/83031 Tuite, Ashleigh R et al. (2018). Estimated Impact of Screening on Gonorrhea Epidemiology in the United States: Insights From a Mathematical Model. 45(11). Tuite, Ashleigh R et al. "Estimated Impact of Screening on Gonorrhea Epidemiology in the United States: Insights From a Mathematical Model" 45, no. 11 (2018) Tuite, Ashleigh R et al. "Estimated Impact of Screening on Gonorrhea Epidemiology in the United States: Insights From a Mathematical Model" vol. 45, no. 11, 2018 Export RIS Citation Information.

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Tuite, Ashleigh R ;

Rönn, Minttu M

November 2018 | Sex Transm Dis. 45(11):713-722

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Background:The burden of gonorrhea infections in the United States is high. There are marked disparities by race/ethnicity and sexual orientation. We ...
Development and validation of an automated HIV prediction algorithm to identify candidates for pre-exposure prophylaxis: a modelling study

CITE Title : Development and validation of an automated HIV prediction algorithm to identify candidates for pre-exposure prophylaxis: a modelling study Personal Author(s) : Krakower, Douglas S.;Gruber, Susan;Hsu, Katherine;Menchaca, John T.;Maro, Judith C.;Kruskal, Benjamin A.;Wilson, Ira B.;Mayer, Kenneth H.;Klompas, Michael; Published Date : 10 2019;10-2019; Source : Lancet HIV. 6(10):e696-e704 URL : https://stacks.cdc.gov/view/cdc/94605 Krakower, Douglas S. et al. (2019). Development and validation of an automated HIV prediction algorithm to identify candidates for pre-exposure prophylaxis: a modelling study. 6(10). Krakower, Douglas S. et al. "Development and validation of an automated HIV prediction algorithm to identify candidates for pre-exposure prophylaxis: a modelling study" 6, no. 10 (2019) Krakower, Douglas S. et al. "Development and validation of an automated HIV prediction algorithm to identify candidates for pre-exposure prophylaxis: a modelling study" vol. 6, no. 10, 2019 Export RIS Citation Information.

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Krakower, Douglas S. ;

Gruber, Susan

10 2019 | Lancet HIV. 6(10):e696-e704

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Background:HIV preexposure prophylaxis (PrEP) is effective but underutilized, in part because clinicians lack tools to identify PrEP candidates. We de...
The Use of Mathematical Models of Chlamydia Transmission to Address Public Health Policy Questions: A Systematic Review

CITE Title : The Use of Mathematical Models of Chlamydia Transmission to Address Public Health Policy Questions: A Systematic Review Personal Author(s) : Rönn, Minttu M.;Wolf, Emory E.;Chesson, Harrell;Menzies, Nicolas A.;Galer, Kara;Gorwitz, Rachel;Gift, Thomas;Hsu, Katherine;Salomon, Joshua A.; Published Date : 5 2017 Source : Sex Transm Dis. 44(5):278-283 URL : https://stacks.cdc.gov/view/cdc/81250 Rönn, Minttu M. et al. (2017). The Use of Mathematical Models of Chlamydia Transmission to Address Public Health Policy Questions: A Systematic Review. 44(5). Rönn, Minttu M. et al. "The Use of Mathematical Models of Chlamydia Transmission to Address Public Health Policy Questions: A Systematic Review" 44, no. 5 (2017) Rönn, Minttu M. et al. "The Use of Mathematical Models of Chlamydia Transmission to Address Public Health Policy Questions: A Systematic Review" vol. 44, no. 5, 2017 Export RIS Citation Information.

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Rönn, Minttu M. ;

Wolf, Emory E.

5 2017 | Sex Transm Dis. 44(5):278-283

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Background:Mathematical models of chlamydia transmission can help inform disease control policy decisions when direct empirical evaluation of alternat...
Pharyngeal Gonococcal Infections: A Cross-Sectional Study in a Network of Sexually Transmitted Disease Clinics; Sexually Transmitted Disease Surveillance Network—January 2016 to June 2018

CITE Title : Pharyngeal Gonococcal Infections: A Cross-Sectional Study in a Network of Sexually Transmitted Disease Clinics; Sexually Transmitted Disease Surveillance Network—January 2016 to June 2018 Personal Author(s) : Llata, Eloisa;Braxton, Jim;Asbel, Lenore;Huspeni, Dawn;Hsu, Katherine;Kerani, Roxanne P.;Nguyen, Trang Quyen;Pathela, Preeti;Schumacher, Christina;Toevs, Kim;Torrone, Elizabeth; Published Date : 12 2019;12-2019; Source : Sex Transm Dis. 46(12):777-779 URL : https://stacks.cdc.gov/view/cdc/160347 Llata, Eloisa et al. (2019). Pharyngeal Gonococcal Infections: A Cross-Sectional Study in a Network of Sexually Transmitted Disease Clinics; Sexually Transmitted Disease Surveillance Network—January 2016 to June 2018. 46(12). Llata, Eloisa et al. "Pharyngeal Gonococcal Infections: A Cross-Sectional Study in a Network of Sexually Transmitted Disease Clinics; Sexually Transmitted Disease Surveillance Network—January 2016 to June 2018" 46, no. 12 (2019) Llata, Eloisa et al. "Pharyngeal Gonococcal Infections: A Cross-Sectional Study in a Network of Sexually Transmitted Disease Clinics; Sexually Transmitted Disease Surveillance Network—January 2016 to June 2018" vol. 46, no. 12, 2019 Export RIS Citation Information.

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Llata, Eloisa ;

Braxton, Jim

12 2019 | Sex Transm Dis. 46(12):777-779

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We conducted a cross-sectional analysis using sexually transmitted disease clinic data to determine test of cure rates among persons diagnosed with ph...