A mathematical model to estimate the state-specific impact of the Health Resources and Services Administration's Ryan White HIV/AIDS Program.

Klein, Pamela W; Cohen, Stacy M; Uzun Jacobson, Evin; Li, Zihao; Clark, Glenn; Fanning, Miranda; Sterling, Rene; Young, Steven R; Sansom, Stephanie; Hauck, Heather

Klein, Pamela W; Cohen, Stacy M; Uzun Jacobson, Evin; Li, Zihao; Clark, Glenn; Fanning, Miranda; Sterling, Rene; Young, Steven R; Sansom, Stephanie; Hauck, Heather.

Affiliation

Klein PW; HIV/AIDS Bureau, Health Resources and Services Administration, Rockville, Maryland, United States of America.
Cohen SM; HIV/AIDS Bureau, Health Resources and Services Administration, Rockville, Maryland, United States of America.
Uzun Jacobson E; Division of HIV/AIDS Prevention, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America.
Li Z; Division of HIV/AIDS Prevention, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America.
Clark G; HIV/AIDS Bureau, Health Resources and Services Administration, Rockville, Maryland, United States of America.
Fanning M; HIV/AIDS Bureau, Health Resources and Services Administration, Rockville, Maryland, United States of America.
Sterling R; HIV/AIDS Bureau, Health Resources and Services Administration, Rockville, Maryland, United States of America.
Young SR; HIV/AIDS Bureau, Health Resources and Services Administration, Rockville, Maryland, United States of America.
Sansom S; Division of HIV/AIDS Prevention, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America.
Hauck H; HIV/AIDS Bureau, Health Resources and Services Administration, Rockville, Maryland, United States of America.

PLoS One ; 15(6): e0234652, 2020.

Article de En | MEDLINE | ID: mdl-32569330

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Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Health Resources and Services Administration (USA) / Infections à VIH / Modèles théoriques Type d'étude: Prevalence_studies / Prognostic_studies / Risk_factors_studies Aspects: Patient_preference Limites: Humans Pays/Région comme sujet: America do norte Langue: En Journal: PLoS One Sujet du journal: CIENCIA / MEDICINA Année: 2020 Type de document: Article Pays d'affiliation: États-Unis d'Amérique Pays de publication: États-Unis d'Amérique

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