2025
Design of egocentric network-based studies to estimate causal effects under interference.
Fang J, Spiegelman D, Buchanan A, Forastiere L. Design of egocentric network-based studies to estimate causal effects under interference. Statistical Methods In Medical Research 2025, 9622802251357021. PMID: 40671608, DOI: 10.1177/09622802251357021.Peer-Reviewed Original ResearchPeer education interventionEducational interventionPublic health interventionsCausal effectsHealth interventionsHIV preventionOutcomes FrameworkSample size formulaPotential outcomes frameworkInterventionRegression modelsNetwork membersJoint hypothesis testingWhole populationSize formulaOverall effectBehavioral influencesSpillover effectsIndividualsPeerIdentification strategyUntreated individualsRandomized experimentSpilloverHIVBarriers and facilitators to a combined strategy of HPV vaccination and cervical cancer screening among Mexican women
León-Maldonado L, Cabral A, Pages G, Brown B, Allen-Leigh B, Lazcano-Ponce E, Bosch F, Spiegelman D, Torres-Ibarra L, Hernández-Ramírez R, Egger E, Rivera-Paredez B, Salmerón J. Barriers and facilitators to a combined strategy of HPV vaccination and cervical cancer screening among Mexican women. Human Vaccines & Immunotherapeutics 2025, 21: 2483018. PMID: 40172917, PMCID: PMC11970787, DOI: 10.1080/21645515.2025.2483018.Peer-Reviewed Original ResearchConceptsInterpersonal-level barriersHigh-quality careFacilitators to participationExperiences of stigmaCervical cancer screeningLack of timeCommunity-level facilitatorsConstant comparative methodPublic health interventionsHealth center personnelInstitutional-level barriersSeverity of cervical cancerHPV-based screeningSemi-structured interviewsCancer screeningHealth interventionsPerceived severity of cervical cancerHealth centersPhone remindersSocioecological modelIntrapersonal levelInconvenient hoursFamily encouragementPerceived severityHPV vaccination
2022
Anemia Etiology in Ethiopia: Assessment of Nutritional, Infectious Disease, and Other Risk Factors in a Population-Based Cross-Sectional Survey of Women, Men, and Children
Andersen CT, Tadesse AW, Bromage S, Fekadu H, Hemler EC, Passarelli S, Spiegelman D, Sudfeld CR, Worku A, Berhane Y, Fawzi WW. Anemia Etiology in Ethiopia: Assessment of Nutritional, Infectious Disease, and Other Risk Factors in a Population-Based Cross-Sectional Survey of Women, Men, and Children. Journal Of Nutrition 2022, 152: 501-512. PMID: 34647598, PMCID: PMC8990104, DOI: 10.1093/jn/nxab366.Peer-Reviewed Original ResearchConceptsRisk factorsAnemia casesPopulation-based cross-sectional studyFolic acid food fortificationC-reactive protein levelsInfectious diseasesPopulation attributable risk percentageVitamin B12Proportion of anemiaDietary iron intakeCause of anemiaHelminth infection statusAttributable risk percentageLow serum ferritinLow serum folateVenous blood samplesPopulation-weighted prevalenceCross-sectional studyPublic health interventionsPotential public health interventionsCross-sectional surveyAssessment of NutritionalIron interventionsSerum ferritinAnemia etiology
2017
Evaluating Public Health Interventions: 7. Let the Subject Matter Choose the Effect Measure: Ratio, Difference, or Something Else Entirely.
Spiegelman D, Khudyakov P, Wang M, Vanderweele TJ. Evaluating Public Health Interventions: 7. Let the Subject Matter Choose the Effect Measure: Ratio, Difference, or Something Else Entirely. American Journal Of Public Health 2017, 108: 73-76. PMID: 29161073, PMCID: PMC5719681, DOI: 10.2105/ajph.2017.304105.Peer-Reviewed Original ResearchConceptsRisk factor distributionRisk ratioLife yearsEffect measuresDisability-adjusted life yearsIncremental cost-effectiveness ratioPopulation attributable riskQuality-adjusted life yearsCost-effectiveness ratioPublic health interventionsPublic health evaluationYears of lifeMeasure of effectRisk factorsRelative riskStudy populationRisk differenceHealth interventionsIntervention effectsAbsolute effect measuresHealth evaluationExternal generalizabilityRiskAbsolute measuresPopulationEvaluating Public Health Interventions: 6. Modeling Ratios or Differences? Let the Data Tell Us.
Spiegelman D, VanderWeele TJ. Evaluating Public Health Interventions: 6. Modeling Ratios or Differences? Let the Data Tell Us. American Journal Of Public Health 2017, 107: 1087-1091. PMID: 28590865, PMCID: PMC5463222, DOI: 10.2105/ajph.2017.303810.Peer-Reviewed Original Research
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