Featured Publications
The required size of cluster randomized trials of nonpharmaceutical interventions in epidemic settings
Sheen J, Haushofer J, Metcalf C, Kennedy‐Shaffer L. The required size of cluster randomized trials of nonpharmaceutical interventions in epidemic settings. Statistics In Medicine 2022, 41: 2466-2482. PMID: 35257398, PMCID: PMC9111156, DOI: 10.1002/sim.9365.Peer-Reviewed Original ResearchConceptsCluster randomized trialEffectiveness of interventionsSample sizeRandomized trialsPlanning such trialsApproximate sample size formulaeReduce transmissionEffect sizeNonpharmaceutical interventionsInfectious disease outbreaksObservational studyInterventionEpidemic settingsSample size methodsAdequate powerSARS-CoV-2 pandemicSARS-CoV-2 transmissionSample size formulaTested individualsSimulated bankTreatment effectsTrialsCommunity transmissionOutbreak settingsSize formulaEstimating Vaccine Efficacy Against Transmission via Effect on Viral Load
Kennedy-Shaffer L, Kahn R, Lipsitch M. Estimating Vaccine Efficacy Against Transmission via Effect on Viral Load. Epidemiology 2021, 32: 820-828. PMID: 34469363, PMCID: PMC8478108, DOI: 10.1097/ede.0000000000001415.Peer-Reviewed Original ResearchConceptsViral load measurementsVaccine efficacyViral loadMeasure of vaccine efficacyRandomized controlled trialsEstimates of vaccine efficacyVirological testingAsymptomatic infectionVaccine effectivenessSevere diseaseControlled trialsViral variantsSARS-CoV-2Estimate efficacyEfficacySARS-CoV-2 pandemicVaccineLoad measurementsInfectionVirus transmissionEstimating epidemiologic dynamics from cross-sectional viral load distributions
Hay J, Kennedy-Shaffer L, Kanjilal S, Lennon N, Gabriel S, Lipsitch M, Mina M. Estimating epidemiologic dynamics from cross-sectional viral load distributions. Science 2021, 373: eabh0635. PMID: 34083451, PMCID: PMC8527857, DOI: 10.1126/science.abh0635.Peer-Reviewed Original ResearchSnowball Sampling Study Design for Serosurveys Early in Disease Outbreaks
Kennedy-Shaffer L, Qiu X, Hanage W. Snowball Sampling Study Design for Serosurveys Early in Disease Outbreaks. American Journal Of Epidemiology 2021, 190: 1918-1927. PMID: 33831177, PMCID: PMC8083564, DOI: 10.1093/aje/kwab098.Peer-Reviewed Original ResearchPerfect as the enemy of good: tracing transmissions with low-sensitivity tests to mitigate SARS-CoV-2 outbreaks
Kennedy-Shaffer L, Baym M, Hanage W. Perfect as the enemy of good: tracing transmissions with low-sensitivity tests to mitigate SARS-CoV-2 outbreaks. The Lancet Microbe 2021, 2: e219-e224. PMID: 33748803, PMCID: PMC7954468, DOI: 10.1016/s2666-5247(21)00004-5.Peer-Reviewed Original Research
2021
Joint Estimation of Generation Time and Incubation Period for Coronavirus Disease 2019
Lau Y, Tsang T, Kennedy-Shaffer L, Kahn R, Lau E, Chen D, Wong J, Ali T, Wu P, Cowling B. Joint Estimation of Generation Time and Incubation Period for Coronavirus Disease 2019. The Journal Of Infectious Diseases 2021, 224: 1664-1671. PMID: 34423821, PMCID: PMC8499762, DOI: 10.1093/infdis/jiab424.Peer-Reviewed Original ResearchHow to detect and reduce potential sources of biases in studies of SARS-CoV-2 and COVID-19
Accorsi E, Qiu X, Rumpler E, Kennedy-Shaffer L, Kahn R, Joshi K, Goldstein E, Stensrud M, Niehus R, Cevik M, Lipsitch M. How to detect and reduce potential sources of biases in studies of SARS-CoV-2 and COVID-19. European Journal Of Epidemiology 2021, 36: 179-196. PMID: 33634345, PMCID: PMC7906244, DOI: 10.1007/s10654-021-00727-7.Peer-Reviewed Original ResearchMeSH KeywordsBiasCOVID-19HumansReproducibility of ResultsResearch DesignSARS-CoV-2Seroepidemiologic StudiesConceptsRisk Factors StudyPublic health scientistsPotential sources of biasBody of literatureSources of biasStudy designFactor studiesHealth scientistsCategories of studiesObservational studyCOVID-19Selection biasPotential biasSecondary attack rateRisk of infectionGeographical areasAttack rateRiskSusceptibility to infectionStudy of COVID-19Cross-sectional seroprevalenceConfoundingCoronavirus diseaseIntervention
2020
Potential Biases Arising From Epidemic Dynamics in Observational Seroprotection Studies
Kahn R, Kennedy-Shaffer L, Grad Y, Robins J, Lipsitch M. Potential Biases Arising From Epidemic Dynamics in Observational Seroprotection Studies. American Journal Of Epidemiology 2020, 190: 328-335. PMID: 32870977, PMCID: PMC7499481, DOI: 10.1093/aje/kwaa188.Peer-Reviewed Original Research