Introducing risk inequality metrics in tuberculosis policy development.

Gomes, Gabriela ORCID: https://orcid.org/0000-0002-1454-4979, Oliveira, Juliane F, Bertolde, Adelmo, Ayabina, Diepreye, Nguyen, Tuan Anh, Maciel, Ethel L, Duarte, Raquel, Nguyen, Binh Hoa, Shete, Priya B and Lienhardt, Christian (2019) 'Introducing risk inequality metrics in tuberculosis policy development.'. Nature Communications, Vol 10, Issue 1, p. 2480.

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Abstract

Global stakeholders including the World Health Organization rely on predictive models for developing strategies and setting targets for tuberculosis care and control programs. Failure to account for variation in individual risk leads to substantial biases that impair data interpretation and policy decisions. Anticipated impediments to estimating heterogeneity for each parameter are discouraging despite considerable technical progress in recent years. Here we identify acquisition of infection as the single process where heterogeneity most fundamentally impacts model outputs, due to selection imposed by dynamic forces of infection. We introduce concrete metrics of risk inequality, demonstrate their utility in mathematical models, and pack the information into a risk inequality coefficient (RIC) which can be calculated and reported by national tuberculosis programs for use in policy development and modeling.

Item Type:	Article
Subjects:	WA Public Health > Health Administration and Organization > WA 525 General works WF Respiratory System > Tuberculosis > WF 200 Tuberculosis (General) WF Respiratory System > Tuberculosis > WF 205.1 General coverage
Faculty: Department:	Biological Sciences > Vector Biology Department
Digital Object Identifer (DOI):	https://doi.org/10.1038/s41467-019-10447-y
Depositing User:	Stacy Murtagh
Date Deposited:	18 Jun 2019 09:49
Last Modified:	13 Sep 2019 16:05
URI:	https://archive.lstmed.ac.uk/id/eprint/11063

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