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seunpaul-tech/global-tuberculosis-burden-analysis_1 — explained in plain English

Analysis updated 2026-05-18

0Audience · dataComplexity · 2/5Setup · easy

tl;dr

A Power BI and SQL analysis of WHO global tuberculosis data, tracking disease burden, mortality, and HIV overlap by country.

vibe map

mindmap
  root((TB burden analysis))
    What it does
      Analyzes WHO TB data
      Tracks incidence and mortality
      Studies HIV and TB overlap
    Tech stack
      PostgreSQL
      Power BI
      DAX
      Figma
    Use cases
      Public health dashboard
      Regional burden comparison
      Case detection trends
    Audience
      Data analysts
      Public health researchers
    Setup
      Clean data in PostgreSQL
      Load into Power BI
      Explore dashboard pages

Code map

Detail Auto

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filefunction / class

what do people make with this?

VIBE 1

Explore an interactive Power BI dashboard of global tuberculosis prevalence, incidence, and mortality.

VIBE 2

Study the SQL cleaning steps used to prepare WHO health data for analysis.

VIBE 3

Compare TB burden and HIV overlap across countries and WHO regions.

VIBE 4

Use this project's DAX measures as a template for building similar public health dashboards.

what's the stack?

PostgreSQLSQLPower BIDAXFigma

how it stacks up fr

seunpaul-tech/global-tuberculosis-burden-analysis_100kaku/gallery-slider-block04amanrajj/netwatch
Stars00
LanguageJavaScriptRust
Last pushed2021-05-19
MaintenanceDormant
Setup difficultyeasyeasymoderate
Complexity2/52/53/5
Audiencedatageneralops devops

Figures from each repo's GitHub metadata at analysis time.

how do i run it?

Difficulty · easy time til it works · 30min

Requires Power BI Desktop to view the dashboard, SQL scripts need a PostgreSQL instance.

No license is stated in the README, so reuse terms are unclear.

in plain english

This project is a data analysis report on global tuberculosis, not a piece of software to install. It uses country-level data from the World Health Organization to study how tuberculosis affects populations around the world, covering things like how many people catch it, how many die from it, and how it overlaps with HIV in different regions and years. The workflow starts with PostgreSQL, a database system, where the raw WHO data is cleaned up: duplicate checks, standardizing country names, converting region codes into full names, and filling in missing values. From there, the cleaned data is loaded into Power BI, a dashboard and reporting tool, where calculations called DAX measures turn the numbers into an interactive report with filters for year, country, and region. Figma, a design tool, was used beforehand to plan out how the dashboard should look before it was built in Power BI. The analysis is organized around six themes: overall disease burden, how many new cases appear each year, death rates, the relationship between HIV and tuberculosis, how well countries detect cases, and burden adjusted for each country's population size. The README lists specific findings, such as India having the highest number of estimated cases, South-East Asia carrying the largest regional burden, and Namibia having the highest incidence rate relative to population. This project is a portfolio style analysis meant to be explored through its Power BI dashboard rather than run as code. The README does not mention a license, so the terms for reusing the analysis or dashboard are not stated.

prompts (copy fr)

prompt 1
Walk me through the SQL data cleaning steps used to prepare the WHO tuberculosis dataset.
prompt 2
Explain the DAX measures used to calculate TB incidence and mortality rates in this dashboard.
prompt 3
Summarize the key findings this analysis found about tuberculosis and HIV overlap by region.
prompt 4
Help me adapt this dashboard's structure to analyze a different WHO health dataset.

Frequently asked questions

what is global-tuberculosis-burden-analysis_1 fr?

A Power BI and SQL analysis of WHO global tuberculosis data, tracking disease burden, mortality, and HIV overlap by country.

What license does global-tuberculosis-burden-analysis_1 use?

No license is stated in the README, so reuse terms are unclear.

How hard is global-tuberculosis-burden-analysis_1 to set up?

Setup difficulty is rated easy, with roughly 30min to a first successful run.

Who is global-tuberculosis-burden-analysis_1 for?

Mainly data.

peek the repo → explain another one

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