2021
Asynchronicity of endemic and emerging mosquito-borne disease outbreaks in the Dominican Republic
Petrone ME, Earnest R, Lourenço J, Kraemer MUG, Paulino-Ramirez R, Grubaugh ND, Tapia L. Asynchronicity of endemic and emerging mosquito-borne disease outbreaks in the Dominican Republic. Nature Communications 2021, 12: 151. PMID: 33420058, PMCID: PMC7794562, DOI: 10.1038/s41467-020-20391-x.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAedesAnimalsChikungunya FeverChikungunya virusChildChild, PreschoolCommunicable Diseases, EmergingDengueDengue VirusDisease OutbreaksDominican RepublicEndemic DiseasesEpidemiological MonitoringFemaleHumansInfantInfant, NewbornMaleMosquito ControlMosquito VectorsSpatio-Temporal AnalysisYoung AdultZika VirusZika Virus InfectionConceptsDengue outbreakDisease outbreaksDengue fever casesOutbreak of chikungunyaMosquito-Borne VirusesFever casesFuture health crisesMosquito-borne disease outbreaksFuture outbreaksVirus transmissionAedes mosquitoesSustainable disease control measuresHealth crisisVirusDisease control measuresOutbreakChikungunyaConstant surveillanceZikaControl measuresDominican Republic
2020
Longitudinal analyses reveal immunological misfiring in severe COVID-19
Lucas C, Wong P, Klein J, Castro TBR, Silva J, Sundaram M, Ellingson MK, Mao T, Oh JE, Israelow B, Takahashi T, Tokuyama M, Lu P, Venkataraman A, Park A, Mohanty S, Wang H, Wyllie AL, Vogels CBF, Earnest R, Lapidus S, Ott IM, Moore AJ, Muenker MC, Fournier JB, Campbell M, Odio CD, Casanovas-Massana A, Herbst R, Shaw A, Medzhitov R, Schulz W, Grubaugh N, Dela Cruz C, Farhadian S, Ko A, Omer S, Iwasaki A. Longitudinal analyses reveal immunological misfiring in severe COVID-19. Nature 2020, 584: 463-469. PMID: 32717743, PMCID: PMC7477538, DOI: 10.1038/s41586-020-2588-y.Peer-Reviewed Original ResearchConceptsSevere COVID-19Moderate COVID-19Immune signaturesDisease outcomeCOVID-19Disease trajectoriesInterleukin-5Early immune signaturesInnate cell lineagesType 2 effectorsT cell numbersPoor clinical outcomeWorse disease outcomesImmune response profileCoronavirus disease 2019Distinct disease trajectoriesCytokine levelsImmunological correlatesImmune profileClinical outcomesEarly elevationImmune profilingIL-13Immunoglobulin EDisease 2019
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