Additional file 1 of Inequalities in the impact of COVID-19-associated disruptions on tuberculosis diagnosis by age and sex in 45 high TB burden countries
Additional file 1: Model code and additional tables and Figs. Table S1. Country-specific tuberculosis notifications for 2013-2020 by age and sex. Table S2. Country-specific linear models for expected notifications. Fig. S1. Country-specific linear models for expected notifications. Table S3. Country-specific numbers of missed or delayed diagnoses. Table S4. Country-specific risk-ratios for disruption to tuberculosis notifications due to the pandemic for men compared to women (both aged ≥ 15 years). Table S5. Country-specific risk-ratios for disruption to tuberculosis notifications due to the pandemic for children (aged < 15 years) and the elderly (aged ≥ 65 years) compared to adults (aged 15-64 years).
Keywords
Tuberculosis, Epidemiology, COVID-19, Gender, Notifications, Paediatric, Children, Elderly, Age, SexItem Type | Dataset |
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Capture method | Other |
Date | 14 November 2022 |
Language(s) of written materials | English |
Creator(s) |
McQuaid, CF |
LSHTM Faculty/Department |
Faculty of Epidemiology and Population Health > Dept of Infectious Disease Epidemiology (-2023) Faculty of Infectious and Tropical Diseases > Dept of Clinical Research |
Research Centre |
Centre for the Mathematical Modelling of Infectious Diseases TB Centre |
Participating Institutions | London School of Hygiene & Tropical Medicine, London, United Kingdom |
Date Deposited | 14 Nov 2022 11:35 |
Last Modified | 28 Mar 2023 12:34 |
Publisher | Figshare |
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