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TITLE: Global Analysis of Diabetes

SUBTITLE: “A GIS-Based Approach”

AUTHOR:-

MOHAMMAD TAREQUZZAMAN FARHAN, (25015044)

MD HOSSAIN MAHMUD, (25015008)

SAKINA AKTER, (2015043)

NUR JAHAN MUNA, (25015045)

Date: 20-01-2026

Output: ioslides_presentation

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Introduction

Diabetes Mellitus is a chronic metabolic disease characterized by elevated levels of blood glucose. It has become a critical challenge for global public health systems.

Research Objective: This presentation utilizes Geographic Information Systems (GIS) to visualize and analyze the global spatial distribution of diabetes prevalence. Unlike static maps, this interactive analysis allows us to:

• Identify Hotspots: Locate countries with prevalence rates above the global average.

• Analyze Infrastructure: Correlate disease rates with available research centers.

• Interact: Explore country-specific data points dynamically.

Objective

• To visualize the spatial distribution of diabetes prevalence worldwide.
• To demonstrate how GIS-based interactive maps can support public health analysis.

Methodology

• Data Sources: Humanitarian Data Exchange (HDX) and World Health Organization (WHO)

• GIS Technique: Proportional Symbol Mapping

• Map Design:

  • Points represent the capital/central location of each country
  • Larger circles indicate higher diabetes prevalence
  • Red = High risk, Orange = Moderate risk

Data Preparation

Interactive Map: Global Diabetes Severity

Key Findings(Map)

The map reveals significant geographic patterns:

1.South Asia Hotspot: Pakistan shows the highest severity (>30%), with Bangladesh also showing elevated rates.

2.Middle East: Egypt represents a critical cluster in the region.

3.Global North: USA and Germany maintain moderate rates (~10%) despite high healthcare access.

Risk category summary

Key Findings (Bar chart)

The bar chart shows that most countries fall into the moderate-risk category, reflecting widespread diabetes prevalence at manageable levels. A smaller number of countries are high risk, indicating regions that need urgent public health interventions. Few countries are low risk, emphasizing that diabetes remains a significant global health challenge.

Conclusion

Summary: Interactive GIS mapping allows us to identify “Health Inequity” gaps that simple tables cannot show. The concentration of high-severity cases in developing nations suggests a need for targeted intervention.

Data Source

Humanitarian Data Exchange (HDX) & WHO Global Health Observatory.