A user-friendly, open-source tool to project impact and cost of diagnostic tests for tuberculosis

Most models of infectious diseases, including tuberculosis (TB), do not provide results customized to local conditions. We created a dynamic transmission model to project TB incidence, TB mortality, multidrug-resistant (MDR) TB prevalence, and incremental costs over 5 years after scale-up of nine al...

Full description

Bibliographic Details
Main Authors: David W Dowdy, Jason R Andrews, Peter J Dodd, Robert H Gilman
Format: Article
Language:English
Published: eLife Sciences Publications Ltd 2014-06-01
Series:eLife
Subjects:
Online Access:https://elifesciences.org/articles/02565
_version_ 1811200112638033920
author David W Dowdy
Jason R Andrews
Peter J Dodd
Robert H Gilman
author_facet David W Dowdy
Jason R Andrews
Peter J Dodd
Robert H Gilman
author_sort David W Dowdy
collection DOAJ
description Most models of infectious diseases, including tuberculosis (TB), do not provide results customized to local conditions. We created a dynamic transmission model to project TB incidence, TB mortality, multidrug-resistant (MDR) TB prevalence, and incremental costs over 5 years after scale-up of nine alternative diagnostic strategies. A corresponding web-based interface allows users to specify local costs and epidemiology. In settings with little capacity for up-front investment, same-day microscopy had the greatest impact on TB incidence and became cost-saving within 5 years if delivered at $10/test. With greater initial investment, population-level scale-up of Xpert MTB/RIF or microcolony-based culture often averted 10 times more TB cases than narrowly-targeted strategies, at minimal incremental long-term cost. Xpert for smear-positive TB had reasonable impact on MDR-TB incidence, but at substantial price and little impact on overall TB incidence and mortality. This user-friendly modeling framework improves decision-makers' ability to evaluate the local impact of TB diagnostic strategies.
first_indexed 2024-04-12T01:59:19Z
format Article
id doaj.art-81da67679fab48bc9d1968a78e997ca3
institution Directory Open Access Journal
issn 2050-084X
language English
last_indexed 2024-04-12T01:59:19Z
publishDate 2014-06-01
publisher eLife Sciences Publications Ltd
record_format Article
series eLife
spelling doaj.art-81da67679fab48bc9d1968a78e997ca32022-12-22T03:52:43ZengeLife Sciences Publications LtdeLife2050-084X2014-06-01310.7554/eLife.02565A user-friendly, open-source tool to project impact and cost of diagnostic tests for tuberculosisDavid W Dowdy0Jason R Andrews1Peter J Dodd2Robert H Gilman3Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, United States; Center for Tuberculosis Research, Johns Hopkins University, Baltimore, United StatesDivision of Infectious Diseases, Department of Medicine, Massachusetts General Hospital, Boston, United StatesSchool of Health and Related Research, University of Sheffield, Sheffield, United KingdomDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, United StatesMost models of infectious diseases, including tuberculosis (TB), do not provide results customized to local conditions. We created a dynamic transmission model to project TB incidence, TB mortality, multidrug-resistant (MDR) TB prevalence, and incremental costs over 5 years after scale-up of nine alternative diagnostic strategies. A corresponding web-based interface allows users to specify local costs and epidemiology. In settings with little capacity for up-front investment, same-day microscopy had the greatest impact on TB incidence and became cost-saving within 5 years if delivered at $10/test. With greater initial investment, population-level scale-up of Xpert MTB/RIF or microcolony-based culture often averted 10 times more TB cases than narrowly-targeted strategies, at minimal incremental long-term cost. Xpert for smear-positive TB had reasonable impact on MDR-TB incidence, but at substantial price and little impact on overall TB incidence and mortality. This user-friendly modeling framework improves decision-makers' ability to evaluate the local impact of TB diagnostic strategies.https://elifesciences.org/articles/02565tuberculosisdiagnostic techniques and proceduresepidemiologyinfectious disease transmissioneconomic model
spellingShingle David W Dowdy
Jason R Andrews
Peter J Dodd
Robert H Gilman
A user-friendly, open-source tool to project impact and cost of diagnostic tests for tuberculosis
eLife
tuberculosis
diagnostic techniques and procedures
epidemiology
infectious disease transmission
economic model
title A user-friendly, open-source tool to project impact and cost of diagnostic tests for tuberculosis
title_full A user-friendly, open-source tool to project impact and cost of diagnostic tests for tuberculosis
title_fullStr A user-friendly, open-source tool to project impact and cost of diagnostic tests for tuberculosis
title_full_unstemmed A user-friendly, open-source tool to project impact and cost of diagnostic tests for tuberculosis
title_short A user-friendly, open-source tool to project impact and cost of diagnostic tests for tuberculosis
title_sort user friendly open source tool to project impact and cost of diagnostic tests for tuberculosis
topic tuberculosis
diagnostic techniques and procedures
epidemiology
infectious disease transmission
economic model
url https://elifesciences.org/articles/02565
work_keys_str_mv AT davidwdowdy auserfriendlyopensourcetooltoprojectimpactandcostofdiagnostictestsfortuberculosis
AT jasonrandrews auserfriendlyopensourcetooltoprojectimpactandcostofdiagnostictestsfortuberculosis
AT peterjdodd auserfriendlyopensourcetooltoprojectimpactandcostofdiagnostictestsfortuberculosis
AT roberthgilman auserfriendlyopensourcetooltoprojectimpactandcostofdiagnostictestsfortuberculosis
AT davidwdowdy userfriendlyopensourcetooltoprojectimpactandcostofdiagnostictestsfortuberculosis
AT jasonrandrews userfriendlyopensourcetooltoprojectimpactandcostofdiagnostictestsfortuberculosis
AT peterjdodd userfriendlyopensourcetooltoprojectimpactandcostofdiagnostictestsfortuberculosis
AT roberthgilman userfriendlyopensourcetooltoprojectimpactandcostofdiagnostictestsfortuberculosis