2023
Acceptability of 4-poster deer treatment devices for community-wide tick control among residents of high Lyme disease incidence counties in Connecticut and New York, USA
Nawrocki C, Piedmonte N, Niesobecki S, Rowe A, Hansen A, Kaufman A, Foster E, Meek J, Niccolai L, White J, Backenson B, Eisen L, Hook S, Connally N, Hornbostel V, Hinckley A. Acceptability of 4-poster deer treatment devices for community-wide tick control among residents of high Lyme disease incidence counties in Connecticut and New York, USA. Ticks And Tick-borne Diseases 2023, 14: 102231. PMID: 37531890, PMCID: PMC10883357, DOI: 10.1016/j.ttbdis.2023.102231.Peer-Reviewed Original Research
2021
Human‐tick encounters as a measure of tickborne disease risk in lyme disease endemic areas
Hook S, Nawrocki C, Meek J, Feldman K, White J, Connally N, Hinckley A. Human‐tick encounters as a measure of tickborne disease risk in lyme disease endemic areas. Zoonoses And Public Health 2021, 68: 384-392. PMID: 33554467, PMCID: PMC10883354, DOI: 10.1111/zph.12810.Peer-Reviewed Original Research
2015
Identification of population at risk for future Clostridium difficile infection following hospital discharge to be targeted for vaccine trials
Baggs J, Yousey-Hindes K, Ashley ED, Meek J, Dumyati G, Cohen J, Wise ME, McDonald LC, Lessa FC. Identification of population at risk for future Clostridium difficile infection following hospital discharge to be targeted for vaccine trials. Vaccine 2015, 33: 6241-6249. PMID: 26450660, PMCID: PMC4702247, DOI: 10.1016/j.vaccine.2015.09.078.Peer-Reviewed Original ResearchConceptsEmerging Infections ProgramHigh-risk groupRisk groupsRisk scoreIndex hospitalizationHospital dischargeDerivation cohortVaccine trialsValidation cohortDifficile infectionCox proportional hazards modelRisk of CDIAcute care hospitalizationIdentification of patientsClostridium difficile infectionHospital discharge dataNumber of hospitalizationsLow-risk groupProportional hazards modelLarge academic centerAdmission diagnosisPrimary outcomeInpatient stayPatient populationPharmacy data