Dataset codebook for a 30-year population-based study examining the contribution of remote M.tuberculosis infection to tuberculosis

Glynn, JR. 2023. Dataset codebook for a 30-year population-based study examining the contribution of remote M.tuberculosis infection to tuberculosis. [Online]. London School of Hygiene & Tropical Medicine, London, United Kingdom. Available from: https://doi.org/10.17037/DATA.00002829.

Glynn, JR. Dataset codebook for a 30-year population-based study examining the contribution of remote M.tuberculosis infection to tuberculosis [Internet]. London School of Hygiene & Tropical Medicine; 2023. Available from: https://doi.org/10.17037/DATA.00002829.

Glynn, JR (2023). Dataset codebook for a 30-year population-based study examining the contribution of remote M.tuberculosis infection to tuberculosis. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002829.

Description

Additional information

Data capture method Compilation/Synthesis, Aggregation
Data Collection Period
FromTo
19802016
Date (Completed) 11 January 2023
Geographical area covered
North LatitudeEast LongitudeSouth LatitudeWest Longitude
-9.8506833.9931-10.077933.7981
Language(s) of written materials English
Data Creators Glynn, JR
Associated roles Khan, PY
LSHTM Faculty/Department Faculty of Epidemiology and Population Health > Dept of Infectious Disease Epidemiology
Participating Institutions London School of Hygiene & Tropical Medicine, London, United Kingdom
Date Deposited 11 Jan 2023 11:33
Last Modified 11 Jan 2023 11:37
Publisher London School of Hygiene & Tropical Medicine

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Description: KPS dataset codebook

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