Optima TB: A tool to help optimally allocate tuberculosis spending.
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| Title: | Optima TB: A tool to help optimally allocate tuberculosis spending. |
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| Authors: | Goscé L; University College London, London, United Kingdom., Abou Jaoude GJ; University College London, London, United Kingdom., Kedziora DJ; Burnet Institute, Melbourne, Australia., Benedikt C; World Bank, Washington, District of Columbia, United States of America., Hussain A; Burnet Institute, Melbourne, Australia., Jarvis S; Burnet Institute, Melbourne, Australia., Skrahina A; The Republican Scientific and Practice Centre for Pulmonology and Tuberculosis, Minsk, Belarus., Klimuk D; The Republican Scientific and Practice Centre for Pulmonology and Tuberculosis, Minsk, Belarus., Hurevich H; The Republican Scientific and Practice Centre for Pulmonology and Tuberculosis, Minsk, Belarus., Zhao F; World Bank, Washington, District of Columbia, United States of America., Fraser-Hurt N; World Bank, Washington, District of Columbia, United States of America., Cheikh N; World Bank, Washington, District of Columbia, United States of America., Gorgens M; World Bank, Washington, District of Columbia, United States of America., Wilson DJ; World Bank, Washington, District of Columbia, United States of America., Abeysuriya R; Burnet Institute, Melbourne, Australia., Martin-Hughes R; Burnet Institute, Melbourne, Australia., Kelly SL; Burnet Institute, Melbourne, Australia., Roberts A; Burnet Institute, Melbourne, Australia., Stuart RM; Burnet Institute, Melbourne, Australia.; University of Copenhagen, Copenhagen, Denmark., Palmer T; University College London, London, United Kingdom., Panovska-Griffiths J; University College London, London, United Kingdom.; University of Oxford, Oxford, United Kingdom., Kerr CC; Burnet Institute, Melbourne, Australia., Wilson DP; Burnet Institute, Melbourne, Australia., Haghparast-Bidgoli H; University College London, London, United Kingdom., Skordis J; University College London, London, United Kingdom., Abubakar I; University College London, London, United Kingdom. |
| Source: | PLoS computational biology [PLoS Comput Biol] 2021 Sep 27; Vol. 17 (9), pp. e1009255. Date of Electronic Publication: 2021 Sep 27 (Print Publication: 2021). |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101238922 Publication Model: eCollection Cited Medium: Internet ISSN: 1553-7358 (Electronic) Linking ISSN: 1553734X NLM ISO Abbreviation: PLoS Comput Biol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1553-7358 |
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| DOI: | 10.1371/journal.pcbi.1009255 |
