Featured Publications
Infection with alternate frequencies of SARS-CoV-2 vaccine boosting for patients undergoing antineoplastic cancer treatments
Townsend J, Hassler H, Emu B, Dornburg A. Infection with alternate frequencies of SARS-CoV-2 vaccine boosting for patients undergoing antineoplastic cancer treatments. Journal Of The National Cancer Institute 2023, 115: 1626-1628. PMID: 37599438, PMCID: PMC10699797, DOI: 10.1093/jnci/djad158.Peer-Reviewed Original ResearchConceptsReinfection riskAntineoplastic therapyAntibody dataSARS-CoV-2 infectionSARS-CoV-2 vaccinesChemotherapy-immunotherapy combinationsPfizer-BioNTech BNT162b2COVID-19 vaccinationHigh infection riskFrequent boostingRituximab therapyBreakthrough infectionsVaccination scheduleAntibody levelsBooster scheduleVaccination frequencyImmune responseAdditional interventionsReduced riskHigh riskHormonal treatmentGeneral populationNecessitating assessmentPatientsInfection risk
2015
Quantitative analyses and modelling to support achievement of the 2020 goals for nine neglected tropical diseases
Hollingsworth TD, Adams ER, Anderson RM, Atkins K, Bartsch S, Basáñez MG, Behrend M, Blok DJ, Chapman LA, Coffeng L, Courtenay O, Crump RE, de Vlas SJ, Dobson A, Dyson L, Farkas H, Galvani AP, Gambhir M, Gurarie D, Irvine MA, Jervis S, Keeling MJ, Kelly-Hope L, King C, Lee BY, Le Rutte EA, Lietman TM, Ndeffo-Mbah M, Medley GF, Michael E, Pandey A, Peterson JK, Pinsent A, Porco TC, Richardus JH, Reimer L, Rock KS, Singh BK, Stolk W, Swaminathan S, Torr SJ, Townsend J, Truscott J, Walker M, Zoueva A, NTD Modelling Consortium. Quantitative analyses and modelling to support achievement of the 2020 goals for nine neglected tropical diseases. Parasites & Vectors 2015, 8: 630. PMID: 26652272, PMCID: PMC4674954, DOI: 10.1186/s13071-015-1235-1.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsConceptsTropical diseasesTrue eliminationPublic health problemSoil-transmitted helminthsPersistence of diseaseSuccess of interventionsHigh riskVisceral leishmaniasisDynamics of transmissionHuman African trypanosomiasisHealth problemsEpidemiological settingsDiseaseLymphatic filariasisChagas diseaseControl initiativesAfrican trypanosomiasisInfectionInterventionUrgent needDetailed adviceSchistosomiasisTrachomaLeishmaniasisElimination
2013
Optimal targeting of seasonal influenza vaccination toward younger ages is robust to parameter uncertainty
Mbah M, Medlock J, Meyers LA, Galvani AP, Townsend JP. Optimal targeting of seasonal influenza vaccination toward younger ages is robust to parameter uncertainty. Vaccine 2013, 31: 3079-3089. PMID: 23684837, PMCID: PMC3764605, DOI: 10.1016/j.vaccine.2013.04.052.Peer-Reviewed Original ResearchConceptsOptimal vaccine allocationParameter uncertaintiesMathematical modelProbability distributionConsideration of uncertaintiesOutcome measuresVaccine allocationHuman population immunitySeasonal influenza vaccinationControl of influenzaUncertainty analysisFace of uncertaintyInfluenza vaccinationVaccine efficacySeasonal influenzaPopulation immunityUncertaintyEpidemiological dataHigh riskYounger ageYoung adultsEpidemiological parametersOptimal agePrevious recommendationsVaccine