2025
Formative evaluation of the acceptance of HIV prevention Artificial Intelligence chatbots by Black gay, bisexual, and other men who have sex with men in the Southern United States: Focus group study
Ndenkeh J, Aidoo-Frimpong G, Nelson L, Peng M, Balakrishnan V, Barnhart V, Davis B, Prayer J, Quamina A, Ni Z. Formative evaluation of the acceptance of HIV prevention Artificial Intelligence chatbots by Black gay, bisexual, and other men who have sex with men in the Southern United States: Focus group study. PLOS Digital Health 2025, 4: e0000891. PMID: 40465591, PMCID: PMC12136318, DOI: 10.1371/journal.pdig.0000891.Peer-Reviewed Original ResearchBlack MSMPrEP uptakeDaily pre-exposure prophylaxisUptake of PrEPFrequent HIV testingHIV prevention interventionsUnited StatesFocus group discussionsPre-exposure prophylaxisHIV vulnerabilityFocus group studyBlack AmericansPrEP educationPrEP informationHIV testingHealthcare providersHIV preventionMedication adherenceLack of awarenessSouthern United StatesInterview transcriptsSocial influenceHealth awarenessGroup discussionsMSMLikelihood of Leveraging Augmented Reality Technology to Promote HIV Prevention and Treatment Among Adolescent Girls and Young Women in Cameroon: Cross-Sectional Survey
Ni Z, Batubara I, Ndenkeh J, Bediang G, Yumo H, Zhang X, Oh S, Zhao Y, Nelson L. Likelihood of Leveraging Augmented Reality Technology to Promote HIV Prevention and Treatment Among Adolescent Girls and Young Women in Cameroon: Cross-Sectional Survey. JMIR Pediatrics And Parenting 2025, 8: e69471. PMID: 40354617, PMCID: PMC12088605, DOI: 10.2196/69471.Peer-Reviewed Original ResearchPromote HIV preventionHIV preventionCross-sectional surveySub-Saharan AfricaAdolescent girlsYoung womenDigital health interventionsDiagnosed HIV casesTreat HIVParticipants' median agePre-exposure prophylaxisHigher education levelHIV viral loadHealth appsHIV testingMultivariable ordinal regressionHealth interventionsHealth informationParticipants' knowledgePrevent HIVHIV casesElectronic surveyHIV medicationsEducation levelSnowball sampling techniqueHuman immunodeficiency virus vulnerability and pre-exposure prophylaxis awareness among adolescent girls and young women in Cameroon: A cross-sectional study
Oh S, Ndenkeh J, Ijeoma O, Conserve D, Nelson L, Batubara I, Bediang G, Yumo H, Ni Z. Human immunodeficiency virus vulnerability and pre-exposure prophylaxis awareness among adolescent girls and young women in Cameroon: A cross-sectional study. Interdisciplinary Nursing Research 2025, 4: 23-30. DOI: 10.1097/nr9.0000000000000086.Peer-Reviewed Original ResearchPrEP awarenessHIV vulnerabilityPre-exposure prophylaxis awarenessEducation levelLow PrEP awarenessKnowledge of PrEPAwareness of PrEPPositive STI diagnosisLow educational levelCross-sectional surveyHigher education levelCross-sectional studyVulnerability to HIVLogistic regression modelsSTI diagnosisHIV testingAGYWTargeted interventionsHIVPrEPYoung womenAdolescent girlsRegression modelsAwarenessSexual orientation
2024
The Feasibility and Acceptability of Using Mobile Applications for HIV Testing, Prevention, and Treatment Among Adolescent Girls and Young Women in Cameroon: A Cross-Sectional Study
Ndenkeh J, Nelson L, Bogning A, Yumo H, Bediang G, Njih E, Fotso D, Abu-Ba'are G, Kouanfack C, Ni Z. The Feasibility and Acceptability of Using Mobile Applications for HIV Testing, Prevention, and Treatment Among Adolescent Girls and Young Women in Cameroon: A Cross-Sectional Study. Journal Of The Association Of Nurses In AIDS Care 2024, 35: 210-221. PMID: 38569188, PMCID: PMC11037457, DOI: 10.1097/jnc.0000000000000469.Peer-Reviewed Original ResearchHIV testingHealth informationHealth-related appsCross-sectional surveyCross-sectional studyAdolescent girlsAssociated with older agePhone ownershipVulnerable populationsAGYWOlder ageYoung WomenHIVMobile appsHealthMobile applicationsPreventionAppsWillingnessGirlsInternet accessHIV/AIDSTreatmentWomenPhoneImplementation of Chatbot Technology in Health Care: Protocol for a Bibliometric Analysis
Ni Z, Peng M, Balakrishnan V, Tee V, Azwa I, Saifi R, Nelson L, Vlahov D, Altice F. Implementation of Chatbot Technology in Health Care: Protocol for a Bibliometric Analysis. JMIR Research Protocols 2024, 13: e54349. PMID: 38228575, PMCID: PMC10905346, DOI: 10.2196/54349.Peer-Reviewed Original ResearchChatbot technologyBibliometric analysisChatbot researchSoftware tool VOSviewerINTERNATIONAL REGISTERED REPORT IDENTIFIERVisualize bibliometric networksHealth care systemArtificial intelligence chatbotsHealth careIntelligent chatbotAI engineAdoption of chatbotsConversational agentsScreening of papersBibliometric networksIEEE XploreCare systemChatbotPublication patternsSearch phaseAnalysis of publicationsHealth-related informationSoftware toolsAnnual publicationsInstitutional distributionScoping review of HIV-related intersectional stigma among sexual and gender minorities in sub-Saharan Africa
Dada D, Abu-Ba’are G, Turner D, Mashoud I, Owusu-Dampare F, Apreku A, Ni Z, Djiadeu P, Aidoo-Frimpong G, Zigah E, Nyhan K, Nyblade L, Nelson L. Scoping review of HIV-related intersectional stigma among sexual and gender minorities in sub-Saharan Africa. BMJ Open 2024, 14: e078794. PMID: 38346887, PMCID: PMC10862343, DOI: 10.1136/bmjopen-2023-078794.Peer-Reviewed Original ResearchConceptsSub-Saharan AfricaHIV-related stigmaIntersectional stigmaIntersectional lensHIV vulnerabilityIntersectional approachGender non-conformity stigmaStigma researchScoping reviewSystems of oppressionMeta-Analysis extensionWorsening mental healthGender minoritiesTransgender individualsHIV risk factorsPreferred Reporting ItemsStigmatised identitySGM populationsStigma driversHIV riskStigmatised populationsService uptakeNegative health effectsSub-SaharanSocioecological levels
2022
COVID-19 Vaccine Hesitancy Among Medicare Beneficiaries with and Without Cancer History: A US Population-based Study
Poghosyan H, Ni Z, Vlahov D, Nelson L, Nam S. COVID-19 Vaccine Hesitancy Among Medicare Beneficiaries with and Without Cancer History: A US Population-based Study. Journal Of Community Health 2022, 48: 315-324. PMID: 36427111, PMCID: PMC9702715, DOI: 10.1007/s10900-022-01174-5.Peer-Reviewed Original ResearchConceptsCOVID-19 vaccineCOVID-19 vaccine hesitancyCancer historyVaccine hesitancyMedicare beneficiariesVaccine uptakeMultivariable logistic regression modelCOVID-19 vaccine uptakeVaccine hesitancy ratesOngoing health conditionsCOVID-19 vaccinationLogistic regression modelsComplex survey designLack of recommendationsHesitancy ratesVaccine benefitsCommon reasonHesitant individualsSide effectsUS populationVaccineHealth conditionsCross-sectional dataHesitancyRegression models
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