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Worldwide Estimated TB Case Rates by Country

Patient Health Records & Digital Health

Tags and Keywords

Tuberculosis

Incidence

Mortality

Health

Epidemiology

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Worldwide Estimated TB Case Rates by Country Dataset on Opendatabay data marketplace

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About

The data provides crucial epidemiological insight into the global burden of tuberculosis. It tracks the estimated incidence rates of all forms of TB by country and year. This information is foundational for public health planning, resource allocation, and monitoring progress toward disease control. The clinical manifestations of TB encompass a spectrum of symptoms, but the disease's insidious nature lies in its potential to inflict severe damage on vital organs such as the lungs and brain, often culminating in fatal outcomes if left untreated. While TB is treatable through specific antibiotics, the efficacy hinges on accurate diagnosis. Failure to promptly identify and address TB exacerbates the peril of fostering antibiotic-resistant strains.

Columns

The dataset includes four fields critical for global disease surveillance:
  • Entity: The name of the country or territory being tracked, with 228 unique values.
  • Code: The unique country code associated with the entity, with 219 unique values.
  • Year: The year the incidence estimate was calculated, spanning the period from 2000 to 2022.
  • Estimated incidence of all forms of tuberculosis: The calculated incidence rate for all forms of the disease within the specified entity and year, showing 945 unique values.

Distribution

The data is contained within the file incidenceoftuberculosis new.csv, which is structured as a standard CSV file. The file size is 123.51 kB and contains 5,170 validated records. The expected update frequency for this dataset is annually.

Usage

This data is ideally suited for applications focused on global health security and policy development, including:
  • Epidemiological Modeling: Analyzing long-term trends and forecasting potential future incidence rates.
  • Public Health Strategy: Informing targeted interventions, resource allocation, and the formulation of public health policies, particularly by addressing underlying determinants of health like poverty and inequality.
  • Treatment Monitoring: Evaluating the effectiveness of existing treatment protocols and the impact of diagnostic innovations, such as rapid molecular tests.
  • Data Visualization: Creating detailed time-series charts and geographic maps (potentially using tools like Matplotlib) to illustrate regional disparities and areas of high prevalence.

Coverage

The dataset provides worldwide geographic coverage, detailing incidence estimates for 228 unique countries and territories. The temporal scope spans 23 years, covering the period from 2000 through 2022. All records are validated across all four columns.

License

CC0: Public Domain

Who Can Use It

Intended users include those engaged in fighting infectious diseases and improving global health outcomes:
  • Public Health Authorities: Utilizing the data for real-time tracking, planning targeted interventions, and bolstering testing capabilities.
  • Researchers and Academics: Conducting studies on infectious disease dynamics, global mortality trends, and vaccine development strategies.
  • Non-Governmental Organizations (NGOs): Guiding public awareness campaigns and strengthening grassroots efforts in regions highly affected by TB.

Dataset Name Suggestions

  • Global Tuberculosis Incidence Estimates (2000-2022)
  • Worldwide Estimated TB Case Rates by Country
  • Tuberculosis Epidemiology Data (2000-2022)

Attributes

Listing Stats

VIEWS

4

DOWNLOADS

1

LISTED

14/11/2025

REGION

GLOBAL

Universal Data Quality Score Logo UDQSQUALITY

5 / 5

VERSION

1.0

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Free

Download Dataset in CSV Format