Featured Publications
The indelible toll of enteric pathogens: Prevalence, clinical characterization, and seasonal trends in patients with acute community-acquired diarrhea in disenfranchised communities
Osman M, Kassem I, Dabboussi F, Cummings K, Hamze M. The indelible toll of enteric pathogens: Prevalence, clinical characterization, and seasonal trends in patients with acute community-acquired diarrhea in disenfranchised communities. PLOS ONE 2023, 18: e0282844. PMID: 36913372, PMCID: PMC10010529, DOI: 10.1371/journal.pone.0282844.Peer-Reviewed Original ResearchConceptsEnteropathogenic E. coliEnteroaggregative Escherichia coliEnterotoxigenic E. coliEnteric pathogensCross-sectional community-based studyAcute community-acquired diarrheaMultivariable logistic regression modelCommon parasitic agentsCommunity-acquired diarrheaCommunity-based studyPublic health challengeLogistic regression modelsGII infectionsAcute diarrheaMiddle-income countriesGastrointestinal PanelDiarrheic patientsEnteric infectionsOverall prevalenceRisk factorsStool samplesClinical characterizationETEC infectionDiarrheal diseaseEtiologic agent
2024
Evaluation of SARS-CoV-2 anti-Spike antibody levels and breakthrough infection risk among vaccinated adults in North Lebanon
Nour D, Ismail M, Osman M, Rafei R, Kasir D, Dabboussi F, Colson P, Hamze M. Evaluation of SARS-CoV-2 anti-Spike antibody levels and breakthrough infection risk among vaccinated adults in North Lebanon. PLOS ONE 2024, 19: e0302579. PMID: 38722969, PMCID: PMC11081361, DOI: 10.1371/journal.pone.0302579.Peer-Reviewed Original ResearchConceptsImmune responseAntibody titersAntibody levelsAnti-spike antibody levelsCharacteristics of immune responsesWaning immune responsesMultivariate logistic regression modelSARS-CoV-2 antibody titersLevel of antibody titerVaccinated patientsBNT162b2 vaccineUnivariate analysisLogistic regression modelsSputnik V vaccineBlood specimensPfizer-BioNTechVaccine doseImmune statusVaccinated adultsSARS-CoV-2InfectionNorth LebanonVaccineAstraZeneca vaccineTiters
2022
Antimicrobial resistance trends among canine Escherichia coli isolated at a New York veterinary diagnostic laboratory between 2007 and 2020
Osman M, Albarracin B, Altier C, Gröhn Y, Cazer C. Antimicrobial resistance trends among canine Escherichia coli isolated at a New York veterinary diagnostic laboratory between 2007 and 2020. Preventive Veterinary Medicine 2022, 208: 105767. PMID: 36181749, PMCID: PMC9703301, DOI: 10.1016/j.prevetmed.2022.105767.Peer-Reviewed Original ResearchMeSH KeywordsAnimalsAnti-Bacterial AgentsAnti-Infective AgentsCephalosporinsDog DiseasesDogsDrug Resistance, BacterialEnrofloxacinEscherichia coliEscherichia coli InfectionsFluoroquinolonesGentamicinsMicrobial Sensitivity TestsNew YorkRetrospective StudiesTrimethoprim, Sulfamethoxazole Drug CombinationConceptsTrimethoprim-sulfamethoxazole resistanceBody sitesGood first-line choiceCanine urinary tract infectionsResistant isolatesResistance trendsLaboratory Standards Institute breakpointsMultivariable logistic regression modelAntimicrobial resistance surveillance studyUrinary tract infectionDrug-resistant Escherichia coliFirst-line choiceAvailable clinical dataDrug-resistant E. coliAntimicrobial susceptibility patternsRetrospective study designUse of fluoroquinolonesE. coli infectionAntimicrobial resistance trendsResistance surveillance studiesClinical E. coliLogistic regression modelsEnrofloxacin-resistant isolatesSurvival analysis dataMIC trends
2021
High association of COVID-19 severity with poor gut health score in Lebanese patients
Al Kassaa I, Omari S, Abbas N, Papon N, Drider D, Kassem I, Osman M. High association of COVID-19 severity with poor gut health score in Lebanese patients. PLOS ONE 2021, 16: e0258913. PMID: 34673813, PMCID: PMC8530309, DOI: 10.1371/journal.pone.0258913.Peer-Reviewed Original ResearchConceptsCOVID-19 symptomsCOVID-19 severityHealth scoresGut healthLogistic regression modelsSevere symptomsLebanese patientsSevere COVID-19 casesSARS-CoV-2 PCRMultiple logistic regression modelFlu-like illnessCross-sectional studyCoronavirus disease 2019Multiple ordinal logistic regression modelsUnhealthy food intakeOrdinal logistic regression modelsRegression modelsRespiratory virusesMean ageIllness episodesCOVID-19 casesDisease 2019Food intakePossible associationDisease pathophysiology
2016
Prevalence and Risk Factors for Intestinal Protozoan Infections with Cryptosporidium, Giardia, Blastocystis and Dientamoeba among Schoolchildren in Tripoli, Lebanon
Osman M, Safadi D, Cian A, Benamrouz S, Nourrisson C, Poirier P, Pereira B, Razakandrainibe R, Pinon A, Lambert C, Wawrzyniak I, Dabboussi F, Delbac F, Favennec L, Hamze M, Viscogliosi E, Certad G. Prevalence and Risk Factors for Intestinal Protozoan Infections with Cryptosporidium, Giardia, Blastocystis and Dientamoeba among Schoolchildren in Tripoli, Lebanon. PLOS Neglected Tropical Diseases 2016, 10: e0004496. PMID: 26974335, PMCID: PMC4790957, DOI: 10.1371/journal.pntd.0004496.Peer-Reviewed Original ResearchConceptsIntestinal protozoan infectionsProtozoan infectionsRisk factorsAssemblages of GiardiaGeneral pediatric populationPrimary risk factorCross-sectional studyPersonal hygiene habitsIntestinal pathogenic protozoaMolecular epidemiological dataLogistic regression modelsHigher infection rateSubtypes of BlastocystisDigestive symptomsPediatric populationGastrointestinal disordersAsymptomatic infectionAsymptomatic subjectsHygiene habitsOverall prevalenceStool samplesHigh prevalenceEpidemiological dataHigh riskDientamoeba fragilis