Introducing risk inequality metrics in tuberculosis policy development
Failure to account for heterogeneity in TB risk can mislead model-based evaluation of proposed interventions. Here, the authors introduce a metric to estimate the distribution of risk in populations from routinely collected data and find that variation in infection acquisition is the most impactful.
Guardado en:
Autores principales: | M. Gabriela M. Gomes, Juliane F. Oliveira, Adelmo Bertolde, Diepreye Ayabina, Tuan Anh Nguyen, Ethel L. Maciel, Raquel Duarte, Binh Hoa Nguyen, Priya B. Shete, Christian Lienhardt |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2019
|
Materias: | |
Acceso en línea: | https://doaj.org/article/4f358ed732c04f24a4899204126ee64f |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Functional Inequalities for Metric-Preserving Functions with Respect to Intrinsic Metrics of Hyperbolic Type
por: Marcelina Mocanu
Publicado: (2021) -
What research is needed to stop TB? Introducing the TB Research Movement.
por: Christian Lienhardt, et al.
Publicado: (2011) -
Active surveillance for adverse events in patients on longer treatment regimens for multidrug-resistant tuberculosis in Viet Nam.
por: Nguyen Bao Ngoc, et al.
Publicado: (2021) -
The impact of active case finding on transmission dynamics of tuberculosis: A modelling study.
por: Diepreye Victoria Ayabina, et al.
Publicado: (2021) -
The impact of active case finding on transmission dynamics of tuberculosis: A modelling study
por: Diepreye Victoria Ayabina, et al.
Publicado: (2021)