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Clinical and laboratory predictors of Lassa fever outcome in a dedicated treatment facility in Nigeria: a retrospective, observational cohort study
Author / Creator:Okokhere, Peter ; Colubri, Andres ; Azubike, Chukwuemeka ; Iruolagbe, Christopher ; Osazuwa, Omoregie ; Tabrizi, Shervin ; Chin, Elizabeth ; Asad, Sara ; Ediale, Ehi ; Rafiu, Mojeed ; Adomeh, Donatus ; Odia, Ikponmwosa ; Atafo, Rebecca ; Aire, Chris ; Okogbenin, Sylvanus ; Pahlman, Meike ; Becker-Ziaja, Beate ; Asogun, Danny ; Fradet, Terrence ; Fry, Ben ; Schaffner, Stephen F ; Happi, Christian ; Akpede, George ; Günther, Stephan ; Sabeti, Pardis C
Publisher:United States: Elsevier Ltd
Journal title:The Lancet infectious diseases, 2018-06, Vol.18 (6), p.684-695
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Transforming Clinical Data into Actionable Prognosis Models: Machine-Learning Framework and Field-Deployable App to Predict Outcome of Ebola Patients
Author / Creator:Colubri, Andres ; Silver, Tom ; Fradet, Terrence ; Retzepi, Kalliroi ; Fry, Ben ; Sabeti, Pardis
Publisher:United States: Public Library of Science
Journal title:PLoS neglected tropical diseases, 2016-03, Vol.10 (3), p.e0004549-e0004549
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Investigating the etiologies of non-malarial febrile illness in Senegal using metagenomic sequencing
Author / Creator:Levine, Zoë C. ; Sene, Aita ; Mkandawire, Winnie ; Deme, Awa B. ; Ndiaye, Tolla ; Sy, Mouhamad ; Gaye, Amy ; Diedhiou, Younouss ; Mbaye, Amadou M. ; Ndiaye, Ibrahima M. ; Gomis, Jules ; Ndiop, Médoune ; Sene, Doudou ; Faye Paye, Marietou ; MacInnis, Bronwyn L. ; Schaffner, Stephen F. ; Park, Daniel J. ; Badiane, Aida S. ; Colubri, Andres ; Ndiaye, Mouhamadou ; Sy, Ngayo ; Sabeti, Pardis C. ; Ndiaye, Daouda ; Siddle, Katherine J.
Publisher:London: Nature Publishing Group UK
Journal title:Nature communications, 2024-01, Vol.15 (1), p.747-13, Article 747
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Retrospective Cohort Study of Lassa Fever in Pregnancy, Southern Nigeria
Author / Creator:Okogbenin, Sylvanus ; Okoeguale, Joseph ; Akpede, George ; Colubri, Andres ; Barnes, Kayla G. ; Mehta, Samar ; Eifediyi, Reuben ; Okogbo, Felix ; Eigbefoh, Joseph ; Momoh, Mojeed ; Rafiu, Mojeed ; Adomeh, Donatus ; Odia, Ikponmwosa ; Aire, Chris ; Atafo, Rebecca ; Okonofua, Martha ; Pahlman, Meike ; Becker-Ziaja, Beate ; Asogun, Danny ; Okokhere, Peter ; Happi, Christian ; Günther, Stephan ; Sabeti, Pardis C. ; Ogbaini-Emovon, Ephraim
Publisher:United States: U.S. National Center for Infectious Diseases
Journal title:Emerging infectious diseases, 2019-08, Vol.25 (8), p.1494-1500
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Knowledge, attitudes and practices regarding the use of mobile travel health apps
Author / Creator:Machoko, Munashe M P ; Dong, Yinan ; Grozdani, Andonaq ; Hong, Hung ; Oliver, Elizabeth ; Hyle, Emily P ; Ryan, Edward T ; Colubri, Andrés ; LaRocque, Regina C
Publisher:England: Oxford University Press
Journal title:Journal of travel medicine, 2024-01, Vol.31 (1)
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Derivation and Internal Validation of a Mortality Prognostication Machine Learning Model in Ebola Virus Disease Based on Iterative Point-of-Care Biomarkers
Author / Creator:Bearnot, Courtney J ; Mbong, Eta N ; Muhayangabo, Rigo F ; Laghari, Razia ; Butler, Kelsey ; Gainey, Monique ; Perera, Shiromi M ; Michelow, Ian C ; Tang, Oliver Y ; Levine, Adam C ; Colubri, Andrés ; Aluisio, Adam R
Publisher:US: Oxford University Press
Journal title:Open forum infectious diseases, 2024-02, Vol.11 (2), p.ofad689
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The case for altruism in institutional diagnostic testing
Author / Creator:Specht, Ivan ; Sani, Kian ; Botti-Lodovico, Yolanda ; Hughes, Michael ; Heumann, Kristin ; Bronson, Amy ; Marshall, John ; Baron, Emily ; Parrie, Eric ; Glennon, Olivia ; Fry, Ben ; Colubri, Andrés ; Sabeti, Pardis C.
Publisher:London: Nature Publishing Group UK
Journal title:Scientific reports, 2022-02, Vol.12 (1), p.1857-1857, Article 1857
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Constructing, validating, and updating machine learning models to predict survival in children with Ebola Virus Disease
Author / Creator:Genisca, Alicia E. ; Butler, Kelsey ; Gainey, Monique ; Chu, Tzu-Chun ; Huang, Lawrence ; Mbong, Eta N. ; Kennedy, Stephen B. ; Laghari, Razia ; Nganga, Fiston ; Muhayangabo, Rigobert F. ; Vaishnav, Himanshu ; Perera, Shiromi M. ; Adeniji, Moyinoluwa ; Levine, Adam C. ; Michelow, Ian C. ; Colubri, Andrés
Publisher:San Francisco, CA USA: Public Library of Science
Journal title:PLoS neglected tropical diseases, 2022-10, Vol.16 (10), p.e0010789-e0010789
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Risk Prediction Score for Pediatric Patients with Suspected Ebola Virus Disease
Author / Creator:Genisca, Alicia E. ; Chu, Tzu-Chun ; Huang, Lawrence ; Gainey, Monique ; Adeniji, Moyinoluwa ; Mbong, Eta N. ; Kennedy, Stephen B. ; Laghari, Razia ; Nganga, Fiston ; Muhayangabo, Rigo F. ; Vaishnav, Himanshu ; Perera, Shiromi M. ; Colubri, Andrés ; Levine, Adam C. ; Michelow, Ian C.
Publisher:United States: U.S. National Center for Infectious Diseases
Journal title:Emerging infectious diseases, 2022-06, Vol.28 (6), p.1189-1197
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Statistical Coil Model of the Unfolded State: Resolving the Reconciliation Problem
Author / Creator:Jha, Abhishek K. ; Colubri, Andrés ; Freed, Karl F. ; Sosnick, Tobin R. ; Berry, R. Stephen
Publisher:United States: National Academy of Sciences
Journal title:Proceedings of the National Academy of Sciences - PNAS, 2005-09, Vol.102 (37), p.13099-13104
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An epidemiological modeling investigation of the long-term changing dynamics of the plague epidemics in Hong Kong
Author / Creator:Musa, Salihu S. ; Zhao, Shi ; Mkandawire, Winnie ; Colubri, Andrés ; He, Daihai
Publisher:United States: AIMS Press
Journal title:Mathematical biosciences and engineering : MBE, 2024-10, Vol.21 (10), p.7435-7453
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Mimicking the folding pathway to improve homology-free protein structure prediction
Author / Creator:DeBartolo, Joe ; Colubri, Andrés ; Jha, Abhishek K ; Fitzgerald, James E ; Freed, Karl F ; Sosnick, Tobin R
Publisher:United States: National Academy of Sciences
Journal title:Proceedings of the National Academy of Sciences - PNAS, 2009-03, Vol.106 (10), p.3734-3739
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Deployable CRISPR-Cas13a diagnostic tools to detect and report Ebola and Lassa virus cases in real-time
Author / Creator:Barnes, Kayla G. ; Lachenauer, Anna E. ; Nitido, Adam ; Siddiqui, Sameed ; Gross, Robin ; Beitzel, Brett ; Siddle, Katherine J. ; Freije, Catherine A. ; Dighero-Kemp, Bonnie ; Mehta, Samar B. ; Carter, Amber ; Uwanibe, Jessica ; Ajogbasile, Fehintola ; Olumade, Testimony ; Odia, Ikponmwosa ; Sandi, John Demby ; Momoh, Mambu ; Metsky, Hayden C. ; Boehm, Chloe K. ; Lin, Aaron E. ; Kemball, Molly ; Park, Daniel J. ; Branco, Luis ; Boisen, Matt ; Sullivan, Brian ; Amare, Mihret F. ; Tiamiyu, Abdulwasiu B. ; Parker, Zahra F. ; Iroezindu, Michael ; Grant, Donald S. ; Modjarrad, Kayvon ; Myhrvold, Cameron ; Garry, Robert F. ; Palacios, Gustavo ; Hensley, Lisa E. ; Schaffner, Stephen F. ; Happi, Christian T. ; Colubri, Andres ; Sabeti, Pardis C.
Publisher:London: Nature Publishing Group UK
Journal title:Nature communications, 2020-08, Vol.11 (1), p.4131-4131, Article 4131
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Topology to Geometry in Protein Folding: β-Lactoglobulin
Author / Creator:Fernández, Ariel ; Colubri, Andrés ; Berry, R. Stephen
Publisher:United States: National Academy of Sciences of the United States of America
Journal title:Proceedings of the National Academy of Sciences - PNAS, 2000-12, Vol.97 (26), p.14062-14066
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Clinical and laboratory predictors of Lassa fever outcome in a dedicated treatment facility in Nigeria: an observational cohort study
Author / Creator:Okokhere, Peter ; Colubri, Andres ; Azubike, Chukwuemeka ; Iruolagbe, Christopher ; Osazuwa, Omoregie ; Tabrizi, Shervin ; Chin, Elizabeth ; Asad, Sara ; Ediale, Ehi ; Rafiu, Mojeed ; Adomeh, Donatus ; Odia, Ikponmwosa ; Atafo, Rebecca ; Aire, Chris ; Okogbenin, Sylvanus ; Pahlman, Meike ; Becker-Ziaja, Beate ; Asogun, Danny ; Fradet, Terrence ; Fry, Ben ; Schaffner, Stephen F. ; Happi, Christian ; Akpede, George ; Günther, Stephan ; Sabeti, Pardis
Journal title:The Lancet infectious diseases, 2018-03, Vol.18 (6), p.684-695
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Performance of and Severe Acute Respiratory Syndrome Coronavirus 2 Diagnostics Based on Symptom Onset and Close Contact Exposure: An Analysis From the Test Us at Home Prospective Cohort Study
Author / Creator:Herbert, Carly ; Wang, Biqi ; Lin, Honghuang ; Yan, Yi ; Hafer, Nathaniel ; Pretz, Caitlin ; Stamegna, Pamela ; Wright, Colton ; Suvarna, Thejas ; Harman, Emma ; Schrader, Summer ; Nowak, Chris ; Kheterpal, Vik ; Orvek, Elizabeth ; Wong, Steven ; Zai, Adrian ; Barton, Bruce ; Gerber, Ben S ; Lemon, Stephenie C ; Filippaios, Andreas ; Gibson, Laura ; Greene, Sharone ; Colubri, Andres ; Achenbach, Chad ; Murphy, Robert ; Heetderks, William ; Manabe, Yukari C ; O’Connor, Laurel ; Fahey, Nisha ; Luzuriaga, Katherine ; Broach, John ; Roth, Kristian ; McManus, David D ; Soni, Apurv
Publisher:United States: Oxford University Press
Journal title:Open forum infectious diseases, 2024-06, Vol.11 (6), p.ofae304
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Sciviewer enables interactive visual interrogation of single-cell RNA-Seq data from the Python programming environment
Author / Creator:Kotliar, Dylan ; Colubri, Andres
Publisher:Cold Spring Harbor: Cold Spring Harbor Laboratory Press
Journal title:bioRxiv, 2021-08
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Constructing, validating, and updating machine learning models to predict survival in children with Ebola Virus Disease Constructing, validating, and updating machine learning models to predict surviv...
Author / Creator:Alicia E. Genisca ; Kelsey Butler ; Monique Gainey ; Tzu-Chun Chu ; Lawrence Huang ; Eta N. Mbong ; Stephen B. Kennedy ; Razia Laghari ; Fiston Nganga ; Rigobert F. Muhayangabo ; Himanshu Vaishnav ; Shiromi M. Perera ; Moyinoluwa Adeniji ; Adam C. Levine ; Ian C. Michelow ; Andrés Colubri
Publisher:Public Library of Science (PLoS)
Journal title:PLoS neglected tropical diseases, 2022-10, Vol.16 (10)
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Individual-level Modeling of COVID-19 Epidemic Risk
Author / Creator:Colubri, Andres ; Yadav, Kailash ; Jha, Abhishek ; Sabeti, Pardis C
Publisher:Ithaca: Cornell University Library, arXiv.org
Journal title:arXiv.org, 2020-08
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Machine learning and mHealth techniques to improve prognostication and clinical management of patients with Ebola virus disease
Author / Creator:Colubri, Andres ; Hartley, Mary-Anne ; Siakor, Mathew ; Wolfman, Vanessa ; Sesay, Tom ; August, Felix ; Levine, Adam C ; Sabeti, Pardis C
Publisher:Cold Spring Harbor: Cold Spring Harbor Laboratory Press
Journal title:bioRxiv, 2018-09
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Clinical and laboratory predictors of Lassa fever outcome in a dedicated treatment facility in Nigeria: a retrospective, observational cohort study

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Transforming Clinical Data into Actionable Prognosis Models: Machine-Learning Framework and Field-Deployable App to Predict Outcome of Ebola Patients

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Investigating the etiologies of non-malarial febrile illness in Senegal using metagenomic sequencing

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Retrospective Cohort Study of Lassa Fever in Pregnancy, Southern Nigeria

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Knowledge, attitudes and practices regarding the use of mobile travel health apps

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Derivation and Internal Validation of a Mortality Prognostication Machine Learning Model in Ebola Virus Disease Based on Iterative Point-of-Care Biomarkers

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The case for altruism in institutional diagnostic testing

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Constructing, validating, and updating machine learning models to predict survival in children with Ebola Virus Disease

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Risk Prediction Score for Pediatric Patients with Suspected Ebola Virus Disease

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Statistical Coil Model of the Unfolded State: Resolving the Reconciliation Problem

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An epidemiological modeling investigation of the long-term changing dynamics of the plague epidemics in Hong Kong

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Mimicking the folding pathway to improve homology-free protein structure prediction

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Deployable CRISPR-Cas13a diagnostic tools to detect and report Ebola and Lassa virus cases in real-time

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Topology to Geometry in Protein Folding: β-Lactoglobulin

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Clinical and laboratory predictors of Lassa fever outcome in a dedicated treatment facility in Nigeria: an observational cohort study

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Performance of and Severe Acute Respiratory Syndrome Coronavirus 2 Diagnostics Based on Symptom Onset and Close Contact Exposure: An Analysis From the Test Us at Home Prospective Cohort Study

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Sciviewer enables interactive visual interrogation of single-cell RNA-Seq data from the Python programming environment

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Constructing, validating, and updating machine learning models to predict survival in children with Ebola Virus Disease Constructing, validating, and updating machine learning models to predict surviv...

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Individual-level Modeling of COVID-19 Epidemic Risk

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Machine learning and mHealth techniques to improve prognostication and clinical management of patients with Ebola virus disease

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