Global tuberculosis report 2025
World Health Organization
Abstract
Tuberculosis remains one of the leading causes of death from a single infectious agent worldwide, reflecting persistent gaps in prevention, diagnosis and treatment despite being a preventable and curable disease. This report presents a comprehensive and up-to-date assessment of the global tuberculosis epidemic and the progress made in responding to it at global, regional and national levels, in the context of international commitments such as the End TB Strategy and the Sustainable Development Goals.
Drawing primarily on data reported by countries through WHO surveillance systems, the publication examines trends in disease burden, including recent estimates of incidence and mortality, as well as patterns of drug-resistant tuberculosis. It describes the coverage and performance of key interventions, including diagnosis, treatment and preventive measures, and outlines developments in financing, universal health coverage, social protection and multisectoral action addressing underlying determinants. The report also highlights progress achieved after disruptions caused by the COVID-19 pandemic, identifies persistent gaps and emerging risks such as funding constraints, and situates findings within a structured framework of global targets and monitoring. Intended for policymakers, programme managers, researchers and global health partners, it supports evidence-based decision-making and strategic planning to accelerate efforts towards ending the tuberculosis epidemic.
MeSH terms
- Tuberculosis
- Tuberculosis, Pulmonary
- Tuberculosis, Multidrug-Resistant
- Global Health
- Public Health Surveillance
- Disease Outbreaks
- Communicable Diseases
- Health Policy
- Program Evaluation
- Health Status Indicators
- Data Collection
- Information Sources
- Health Status Indicators
- Delivery of Health Care
- Organizational Objectives
- Universal Health Insurance
- Cost of Illness
- Sustainable Development
- Annual Report
- prevention and control
- diagnosis
- therapy
- methods
- statistics and numerical data