bioRxiv / medRxiv
open access
Spatiotemporal clustering of tuberculosis notifications in Nepal during the COVID-19 pandemic and subsequent recovery: A national space-time scan analysis, 2019-2024
The COVID-19 pandemic substantially disrupted tuberculosis (TB) prevention, diagnosis, and treatment services worldwide. Despite increased TB notifications in Nepal during the post-pandemic recovery period, the geographic distribution and temporal clustering of notifications remain poorly understood
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
- Symptom clusters in Long COVID in the UK: prospective community-based cohort study using unsupervised machine learning#972155
- Testing the Accuracy of a Digital Test to Diagnose Covid-19#1229656
- How well do routinely collected demographic and clinical variables aid point-of-care lung ultrasound TB classification#1202453
- Improving primary healthcare for non-communicable diseases during annual flooding in Bihar, India: study protocol for a hybrid implementation-effectiveness parallel cluster randomised controlled trial.#174691
- Monitoring influenza-like symptoms in the UK through participatory surveillance: Insights from FluSurvey over two winter seasons (2023-24 and 2024-25).#1267114
Record · ID 1473890
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