2022
Combining genomic and epidemiological data to compare the transmissibility of SARS-CoV-2 variants Alpha and Iota
Petrone ME, Rothman JE, Breban MI, Ott IM, Russell A, Lasek-Nesselquist E, Badr H, Kelly K, Omerza G, Renzette N, Watkins AE, Kalinich CC, Alpert T, Brito AF, Earnest R, Tikhonova IR, Castaldi C, Kelly JP, Shudt M, Plitnick J, Schneider E, Murphy S, Neal C, Laszlo E, Altajar A, Pearson C, Muyombwe A, Downing R, Razeq J, Niccolai L, Wilson MS, Anderson ML, Wang J, Liu C, Hui P, Mane S, Taylor BP, Hanage WP, Landry ML, Peaper DR, Bilguvar K, Fauver JR, Vogels CBF, Gardner LM, Pitzer VE, St. George K, Adams MD, Grubaugh ND. Combining genomic and epidemiological data to compare the transmissibility of SARS-CoV-2 variants Alpha and Iota. Communications Biology 2022, 5: 439. PMID: 35545661, PMCID: PMC9095641, DOI: 10.1038/s42003-022-03347-3.Peer-Reviewed Original Research
2019
The Potential Population-Level Impact of Different Gonorrhea Screening Strategies in Baltimore and San Francisco: An Exploratory Mathematical Modeling Analysis
Rönn M, Testa C, Tuite A, Chesson H, Gift T, Schumacher C, Williford S, Zhu L, Bellerose M, Earnest R, Malyuta Y, Hsu K, Salomon J, Menzies N. The Potential Population-Level Impact of Different Gonorrhea Screening Strategies in Baltimore and San Francisco: An Exploratory Mathematical Modeling Analysis. Sexually Transmitted Diseases 2019, 47: 143-150. PMID: 31842089, PMCID: PMC7012354, DOI: 10.1097/olq.0000000000001108.Peer-Reviewed Original ResearchConceptsAnnual screeningMost infectionsHigh-burden areasAdditional screening testFocused intervention strategiesCompartmental transmission modelRace/ethnicityPotential population-level impactCare cascadeBurden areasAcquisition riskScreen populationsScreening testPopulation-level impactInfectionSan FranciscoSurveillance dataPrevalence distributionScreening strategyInterventionIntervention strategiesSuch interventionsGonorrheaTime trendsMathematical modeling analysis