2019
Machine-learning Prognostic Models from the 2014–16 Ebola Outbreak: Data-harmonization Challenges, Validation Strategies, and mHealth Applications
Colubri A, Hartley M, Siakor M, Wolfman V, Felix A, Sesay T, Shaffer J, Garry R, Grant D, Levine A, Sabeti P. Machine-learning Prognostic Models from the 2014–16 Ebola Outbreak: Data-harmonization Challenges, Validation Strategies, and mHealth Applications. EClinicalMedicine 2019, 11: 54-64. PMID: 31312805, PMCID: PMC6610774, DOI: 10.1016/j.eclinm.2019.06.003.Peer-Reviewed Original ResearchEbola virus diseasePrognostic modelEvidence-based care guidelinesMHealth toolsInformed accessSigns/symptomsEvidence-based guidelinesEbola treatment unitsMultivariate logistic regressionComprehensive clinical guidelinesInternational Medical CorpsViral loadCare guidelinesSurvival outcomesUS National InstitutesClinical guidelinesEVD epidemicEbola careClinical expertiseExperienced cliniciansSimilar AUCLogistic regressionMelinda Gates FoundationCost of specificityWellness assessment
2017
Predicting Ebola infection: A malaria-sensitive triage score for Ebola virus disease
Hartley M, Young A, Tran A, Okoni-Williams H, Suma M, Mancuso B, Al-Dikhari A, Faouzi M. Predicting Ebola infection: A malaria-sensitive triage score for Ebola virus disease. PLOS Neglected Tropical Diseases 2017, 11: e0005356. PMID: 28231242, PMCID: PMC5322888, DOI: 10.1371/journal.pntd.0005356.Peer-Reviewed Original ResearchConceptsEbola virus diseaseEbola treatment centersEVD infectionTriage scoreDifferential diagnosisRetrospective cohort studyNon-specific symptomsImportant differential diagnosisPrevention/control measuresVirus diseaseCurrent triage protocolResource-poor settingsClinical characteristicsCohort studyEVD patientsUnivariate analysisNosocomial infectionsHigher oddsTriage toolPredictive scoreTreatment centersTriage protocolMultivariate analysisPatientsDifferential diagnosticsPredicting Ebola Severity: A Clinical Prioritization Score for Ebola Virus Disease
Hartley M, Young A, Tran A, Okoni-Williams H, Suma M, Mancuso B, Al-Dikhari A, Faouzi M. Predicting Ebola Severity: A Clinical Prioritization Score for Ebola Virus Disease. PLOS Neglected Tropical Diseases 2017, 11: e0005265. PMID: 28151955, PMCID: PMC5289426, DOI: 10.1371/journal.pntd.0005265.Peer-Reviewed Original ResearchConceptsEbola virus diseaseViral loadPrognostic toolEbola viral loadMultivariate prognostic scoreRetrospective cohort studyEbola treatment centersAccurate prognostic toolVirus diseaseEVD mortalityClinical characteristicsCohort studyPrognostic scoreAsymptomatic infectionClinical severityIntensive treatmentPrognostic potentialUnadjusted predictorsDisease scoreMortality rateTreatment centersEVD diagnosisMortality risk reductionDeadly infectionEarly reporting
2016
Use of Peripheral Health Units in Low-Transmission Ebola Virus Disease Surveillance
Young A, Connolly A, Hoar A, Mancuso B, Esplana J, Kaur G, Fisher L, Hartley M, Tran A. Use of Peripheral Health Units in Low-Transmission Ebola Virus Disease Surveillance. Online Journal Of Public Health Informatics 2016, 8: e177. PMCID: PMC4854600, DOI: 10.5210/ojphi.v8i1.6596.Peer-Reviewed Original ResearchEbola virus diseaseEbola Virus Disease SurveillanceMalaria-endemic areasPeripheral health unitsEbola treatment centersEVD casesSymptom recordingMalaria prevalenceCase burdenHealth unitsSuspect casesTreatment centersSurveillance strategiesPort Loko DistrictDisease surveillanceVirus diseaseSurveillance systemSierra LeoneNumber of alertsPatientsLive alertsMalariaPrevalenceDisease