alexandrasrichards/natural_history_tb_disease
Richards, AS
(2023).
alexandrasrichards/natural_history_tb_disease.
[Dataset].
GitHub.
https://github.com/alexandrasrichards/natural_history_tb_disease
(2023).
alexandrasrichards/natural_history_tb_disease.
[Dataset].
GitHub.
https://github.com/alexandrasrichards/natural_history_tb_disease
Code used for the analysis in : "Quantifying progression and regression across the spectrum of pulmonary tuberculosis: a data synthesis study".
Keywords
Pulmonary Tuberculosis, Bayes theorem| Item Type | Dataset |
|---|---|
| Capture method | Unknown |
| Date | 28 March 2023 |
| Language(s) of written materials | English |
| Creator(s) |
Richards, AS
|
| LSHTM Faculty/Department | Faculty of Epidemiology and Population Health > Dept of Infectious Disease Epidemiology & Dynamics (2023-) |
| Participating Institutions | London School of Hygiene & Tropical Medicine, London, United Kingdom, University of Cape Town, Cape Town, South Africa, University College London, London, United Kingdom, Helmholtz Centre for Infection Research, Braunschweig, Germany, German Centre for Infection Research, Braunschweig, Germany, School of Public Health, Vita-Salute San Raffaele University, Milan, Italy, Local Health Authority of Bergamo, Bergamo, Italy, University of Pavia, Pavia, Italy, German Central Committee Against Tuberculosis, Berlin, Germany, University of KwaZulu-Natal, Durban, South Africa, University of the Witwatersrand, Johannesburg, South Africa, Biomedical Research and Training Institute, Harare, Zimbabwe, Ludwig Maximilian University of Munich, Munich, Germany, Amsterdam University Medical Centers, Amsterdam, Netherlands |
| Funders |
Project Funder Grant Number Funder URI |
| Date Deposited | 27 Mar 2024 12:10 |
| Last Modified | 27 Mar 2024 12:10 |
| Publisher | GitHub |
No files available. Please consult associated links.
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