LSHTM Data Compass
metadata only
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
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Bayesian Modeling of Bovine Tuberculosis Prevalence for Enhanced Estimation and Control in Intensive Dairy Farms: A Longitudinal Decision-Support Tools for Veterinarians and Policymakers.#1080553
- Global epidemiological trends of moderate/severe TBI from 1990 to 2021: A study based on Global Burden of Disease study 2021.#323132
- IMBA Hutano: multimorbidity among people with tuberculosis and household comparators dataset#348126
- Decreased chlamydia notifications in six European Union/European Economic Area countries and England, 2024.#244404
- Table 1_Estimation of populations at risk for severe influenza and vaccination coverage in Mexico, 2010–2021.docx#384393
Record · ID 971381
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive