2023
Predictors of Neurodevelopment in Microcephaly Associated with Congenital Zika Syndrome: A Prospective Study
Mattos A, Rastely-Junior V, Pires M, Aguilar J, Lessa M, Regis C, Wanderley M, Leony J, Bouzon J, Ballalai V, Vieira C, Carvalho G, Almeida J, Nery N, Leal R, Costa F, Ko A, Reis M, Oliveira-Filho J. Predictors of Neurodevelopment in Microcephaly Associated with Congenital Zika Syndrome: A Prospective Study. Children 2023, 10: 1831. PMID: 38136033, PMCID: PMC10741834, DOI: 10.3390/children10121831.Peer-Reviewed Original ResearchCongenital Zika syndromeEvans indexZika syndromeHead circumferenceNeurodevelopmental delayMedian head circumferenceBayley-III scoresCT scan analysisMicrocephaly AssociatedNeurodevelopmental examinationProspective studyVentricle enlargementBrain abnormalitiesCongenital manifestationsMultiprofessional teamGross motorNeonate periodDevelopmental anomaliesDevelopmental delaySyndromeMicrocephalyBlinded expertsMonthsChildrenCircumference
2022
Leptospira Infection in Rural Areas of Urabá Region, Colombia: A Prospective Study.
Quintero-Vélez J, Rodas J, Rojas C, Ko A, Wunder E. Leptospira Infection in Rural Areas of Urabá Region, Colombia: A Prospective Study. American Journal Of Tropical Medicine And Hygiene 2022, 107: 1267-1277. PMID: 36375452, PMCID: PMC9768283, DOI: 10.4269/ajtmh.21-1103.Peer-Reviewed Original ResearchConceptsOutdoor occupationsLeptospira infectionProspective studyRisk factorsMultivariable modelLeptospira seroprevalenceLogistic regression modelsEco-epidemiological aspectsMultinomial logistic regression modelsMultivariable analysisSerologic testingPrimary exposureMale genderMicroscopic agglutinationPresence of ratsOlder ageRural areasLeptospira serogroupsInfectionSeroincidenceLeptospira speciesSeroprevalenceSerogroupsRegression modelsDirt floors
2021
Tracking smell loss to identify healthcare workers with SARS-CoV-2 infection
Weiss JJ, Attuquayefio TN, White EB, Li F, Herz RS, White TL, Campbell M, Geng B, Datta R, Wyllie AL, Grubaugh ND, Casanovas-Massana A, Muenker MC, Moore AJ, Handoko R, Iwasaki A, Martinello RA, Ko AI, Small DM, Farhadian SF, Team T. Tracking smell loss to identify healthcare workers with SARS-CoV-2 infection. PLOS ONE 2021, 16: e0248025. PMID: 33657167, PMCID: PMC7928484, DOI: 10.1371/journal.pone.0248025.Peer-Reviewed Original ResearchConceptsSARS-CoV-2 infectionSARS-CoV-2 positive healthcare workersSmell lossHealthcare workersHome assessmentNeurological symptomsPositive SARS-CoV-2 testSARS-CoV-2 test positivitySARS-CoV-2 testPolymerase chain reaction testingReal-time quantitative polymerase chain reaction testingQuantitative polymerase chain reaction testingCOVID-19 patientsHigh-risk groupHigh-risk individualsSARS-CoV-2Self-reported changesProspective studyTest positivityAsymptomatic infectionSymptom SurveyVulnerable patientsHigh riskPositive testRisk individuals