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The purpose of this indicator is to measure the number Tuberculosis (TB) incidence per 100,000 population to assess progress towards achieving SDG Target 3.3: ‘By 2030, end the epidemics of AIDS, tuberculosis, malaria and neglected tropical diseases and combat hepatitis, water-borne diseases and other communicable diseases’. This indicator provides essential data on the prevalence and spread of tuberculosis, which is critical for understanding the burden of the disease, identifying at-risk populations, and evaluating the effectiveness of TB control and prevention programs. By monitoring this indicator, policymakers, stakeholders, and organizations can make informed decisions to promote sustainable development and address challenges such as reducing TB transmission, improving access to diagnosis and treatment, combating drug-resistant TB, and enhancing public health interventions to control and eliminate Tuberculosis. This indicator helps to ensure that all populations, including marginalized and high-risk groups are included in efforts to achieve effective Tuberculosis control and the broader goal of ending the global TB epidemic, thereby contributing to the overall objective of sustainable, inclusive, and equitable growth. 

This indicator measures the number of Tuberculosis (TB) incidence per 100,000 population to monitor progress towards SDG Target 3.3: ‘By 2030, end the epidemics of AIDS, tuberculosis, malaria and neglected tropical diseases and combat hepatitis, water-borne diseases and other communicable diseases’. It is defined as the estimated number of new and relapse TB cases (all forms of TB, including cases in people living with HIV) arising in a given year. It is usually expressed as a rate per 100,000 population. The relevance of this indicator lies in its ability to provide critical data on prevalence and spread of tuberculosis, which is essential for understanding the burden of the disease, identifying at-risk populations, and evaluating the effectiveness of TB control and prevention programs. The data for this indicator is collected through administrative reports, and it is calculated by dividing the total number of new and relapse TB cases reported in a year by the mid-year population and then multiplying the result by 100,000 to express the incidence rate per 100,000 population. By tracking this indicator, stakeholders can gain valuable insights into the burden of the disease, identifying at-risk populations, and evaluating the effectiveness of TB control and prevention programs, enabling them to make informed decisions to promote sustainable development and address reducing TB transmission, improving access to diagnosis and treatment, combating drug-resistant TB, and enhancing public health interventions to control and eliminate Tuberculosis.

Ministry of Health and Wellness (MoHW)

Annual

Number of cases per year per 100,000 population.

Indicator definition: Tuberculosis (TB) incidence is defined as the estimated number of new and relapse TB cases (all forms of TB, including cases in people living with HIV) arising in a given year. It is usually expressed as a rate per 100,000 population. 
Geographical coverage: National
Data collection method: Administrative reports. 
Data availability: data available from 2010 to 2023.

Definitions and reporting framework for tuberculosis – 2013 revision (WHO/HTM/TB/2013.2). Geneva: World Health Organization; 2013 (https://www.who.int/publications/i/item/9789241505345).

National by Sex.

Estimates of TB incidence are produced through a consultative and analytical process led by WHO and are published annually. These estimates are derived from annual case notifications, assessments of the quality and coverage of TB notification data, national surveys of the prevalence of TB disease, national inventory studies and information from death (vital) registration systems. 

For the period 2000-2019, estimates of incidence for each country are derived using one or more of the following approaches, depending on available data: (i) incidence = case notifications/estimated proportion of cases detected; (ii) capture-recapture modelling, (iii) incidence = prevalence/duration of condition. 

For 2020 and 2021 specifically, these methods were retained for most countries. However, for countries with large absolute reductions in the reported number of people newly diagnosed with TB in 2020 or 2021 relative to pre-2020 trends (which suggested major disruptions to access to TB diagnosis and treatment during the COVID-19 pandemic), dynamic models were used in replacement of the methods used for 2000- 2019. 

Uncertainty bounds are provided in addition to best estimates. 

Details are provided in the technical appendix on methods used by WHO to estimate the global burden of tuberculosis disease published alongside the most recent WHO global tuberculosis report at https://www.who.int/teams/global-tuberculosis- programme/data.

Policy Development: Use the data to inform and shape policies aimed at improving TB prevention, diagnosis, and treatment services, ensuring resources are allocated to reduce TB incidence and address the needs of high-risk population.
Program Planning and Implementation: Design and implement programs to improve access to comprehensive TB care, including early diagnosis, effective treatment, and prevention strategies, tailored to meet the needs of affected and high-risk populations. 
Monitoring and Evaluation: Track progress towards SDG Target 3.2 and evaluate the effectiveness of Tuberculosis control programs and interventions, using the data to measure outcomes, identify gaps, and make evidence-based adjustments to reduce TB incidence and improve treatment outcomes. 
International Comparisons: Compare progress in reducing TB incidence and improving TB control measures across different countries, sharing best practices and lessons learned to strengthen global efforts in combating Tuberculosis. 
Reporting and Accountability: Report progress to stakeholders, including governments and international organizations, to ensure accountability and transparency in achieving SDG Target 3.3.

All the metadata shown in this document was gathered from United Nation Statistics Division. The metadata was extracted from https://unstats.un.org/sdgs/metadata/.