GIS-Based Analysis of COVID-19

Presented By

Pranto Bhattacharjee id : 25015037

Israt Noor id :25015033

Mehedia Muna id :25015031

Tanvir ahamed id:25015001

Canadian university of Bangladesh

department of public health

Introduction

The COVID-19 pandemic has become one of the most significant global health crises of the 21st century, affecting millions of people across the world. Understanding the spatial distribution and spread of this disease is essential for effective planning, response, and prevention. Geographic Information System, commonly known as GIS, plays a vital role in visualizing disease patterns by using maps and spatial data. In this presentation, we use GIS-based mapping techniques to analyze the spread, impact, and severity of COVID-19 at global and national levels. Our study highlights the first detection and death locations, the most affected countries and continents, and the division-wise situation in Bangladesh. Through interactive maps and visual analysis, this presentation aims to provide a clear understanding of how COVID-19 spread geographically and how preventive measures helped reduce its impact.

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1.This is a Point GIS map showing where and when COVID-19 was first detected.11 The first known COVID-19 case was identified in Wuhan, China, in December 2019. The red point marks the exact location of the first detection. A point map is used because this event occurred at a specific place and time.

leaflet() %>%
  addProviderTiles("CartoDB.Positron") %>%   # English labels
  
  addCircleMarkers(
    lng = 114.3055,   # Longitude of Wuhan
    lat = 30.5928,    # Latitude of Wuhan
    radius = 10,
    color = "black",
    fillOpacity = 0.9,
    
    popup = paste0(
      "<b>First COVID-19 Death</b><br>",
      "Location: Wuhan, China<br>",
      "Date: January 2020"
    )
  )

2.This Point GIS map shows the location of the first COVID-19 death. The first reported COVID-19 death occurred in Wuhan, China, in January 2020. The black point represents the place of the first death. Point mapping is appropriate here because it highlights a single historical event.

3.The United States has the highest confirmed COVID-19 cases globally, followed by India, France, Germany, and Brazil.

United States – ≈ 111,820,082 confirmed cases (most in the world) India – ≈ 45,035,393 confirmed cases France – ≈ 40,138,560 confirmed cases Germany – ≈ 38,828,995 confirmed cases Brazil – ≈ 38,743,918

4.This bar chart shows the top five countries by confirmed COVID-19 cases. The United States has the highest number of cases, followed by India, France, Germany, and Brazil.

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6.This choropleth map highlights the top five countries with the highest COVID-19 deaths. Darker red colors indicate higher numbers of deaths. All other countries are shown in light grey for comparison.

This map shows where COVID-19 was first identified in Bangladesh. The first confirmed COVID-19 cases were reported in Dhaka on 8 March 2020. The red marker highlights the exact location where the virus was initially detected. This visualization helps us understand the starting point of the COVID-19 outbreak in Bangladesh.

This map shows the location of the first reported COVID-19 death in Bangladesh. The first death was recorded in Dhaka on 18 March 2020. The highlighted location indicates where the first fatal case occurred. This helps us understand the early impact of COVID-19 in Bangladesh.

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This map shows how COVID-19 deaths are distributed across different divisions of Bangladesh. Areas with darker red color indicate a higher number of deaths, while lighter colors represent lower numbers. Dhaka division experienced the highest number of COVID-19 deaths compared to other divisions. The map helps to understand the regional differences in the impact of COVID-19 within Bangladesh.

This chart shows the distribution of COVID-19 deaths across different divisions of Bangladesh. Each segment represents a division, along with the total number of deaths. Darker red colors indicate higher death rates, while lighter colors represent lower rates. Dhaka division accounts for the highest proportion of COVID-19 deaths in Bangladesh.

This map highlights major areas in Bangladesh where COVID-19 prevention efforts were strongly focused. Dhaka received the highest level of preventive attention due to high population density and infection risk. Other major cities also implemented measures such as lockdowns, vaccination programs, and public awareness campaigns. These preventive strategies played an important role in controlling the spread of COVID-19 in Bangladesh.

Conclusion

This study used GIS-based maps to analyze the spatial and temporal patterns of COVID-19 at global and national levels. The analysis showed that COVID-19 first emerged in Wuhan, China, and later spread rapidly across different continents. Countries like the United States experienced the highest number of confirmed cases and deaths. In Bangladesh, Dhaka was identified as the most affected area, recording the earliest cases and the highest number of deaths. Division-wise analysis revealed clear regional differences in the impact of the pandemic. Finally, preventive measures such as lockdowns, vaccination programs, and public awareness played a crucial role in reducing the spread of COVID-19. Overall, GIS mapping proved to be an effective tool for understanding, monitoring, and managing the COVID-19 pandemic.