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The current global pandemic has caused socioeconomic devastation worldwide.
For this reason, healthcare facilities, pharmaceutical corporations, governments, and the World Health Organization (WHO) are tracking the spread of COVID-19 closely. The amount of data generated as a result of close surveillance is immense.
Insights into the data have helped immensely in informing mitigation strategies.
In the last few months, the spread of the disease has gone down significantly. This is partly due to the WHO leveraging data and sharing insights openly with governments, research centers, and healthcare facilities.
Some of the charts that the World Health Organization (WHO) used to communicate its data stories successfully include:
Excel is one of the go-to popular data visualization tools among professionals and business owners worldwide.
However, the visualization tool has very basic Sentiment Trend, Double Bar, Grouped Columns, and Dual Axis Line charts. This implies that you’ll have to invest extra effort and time to edit the charts to align with your needs.
You can download and install a specific add-in in your Excel to access the Pandemic Comparison Chart.
Definition: A pandemic is a worldwide episode of a sickness that spreads across nations and land masses, influencing many individuals.
It happens when another irresistible specialist arises, spreads effectively among people, and supports progressing transmission.
Pandemics can result from infections, microbes, or different microorganisms, frequently with no prior resistance in the populace.
Normal models incorporate the Coronavirus pandemic, the Spanish influenza, and the H1N1 flu. Pandemics have critical social, financial, and well-being influences, requiring composed worldwide endeavors to alleviate them.
Preventive measures incorporate inoculation, general well-being intercessions, and worldwide observation frameworks.
The historical backdrop of pandemics features mankind’s repetitive fight against boundless illnesses.
Old pandemics, similar to the Plague of Athens (430 BCE), crushed civilizations, while the Dark Demise in the fourteenth century guaranteed a great many lives across Europe and Asia. The 1918 flu pandemic, or “Spanish Influenza,” tainted 33% of the worldwide populace.
Progresses in medication helped battle later pandemics, like HIV/Helps and SARS. The new Coronavirus pandemic highlighted the significance of worldwide cooperation in sickness anticipation and reaction.
A Timeline of Historical Pandemics showcases grandstands of mankind’s perseverance through battle against irresistible infections.
From the Plague of Athens (430 BCE) to the Coronavirus pandemic (2020), history uncovers the overwhelming effect of far-reaching episodes.
Key occasions incorporate the Dark Passing (1347-1351), which obliterated Europe, and the 1918 Flu, guaranteeing millions worldwide. Clinical headways, similar to antibodies, arose after difficulties like smallpox scourges.
Understanding these occasions stresses the significance of general well-being and worldwide cooperation in battling future dangers.
Researchers estimate the death toll of pandemics by analyzing various data sources, including official death records, hospital reports, and excess mortality statistics.
They use models to account for underreporting and misclassification of deaths. Historical comparisons and demographic factors, such as age and population density, are also considered.
Surveys and serological studies help assess the broader impact on health. Advanced statistical and machine learning methods refine estimates, ensuring accuracy despite incomplete or biased data.
Contrasting Coronavirus and past pandemics uncovers unmistakable contrasts and similitudes.
The Coronavirus pandemic (2019) spread quickly because of globalization, like the 1918 Spanish Influenza however with more noteworthy mechanical mediations like immunizations created in record time.
In contrast to the Dark Passing (fourteenth 100 years), which was brought about by microscopic organisms, Coronavirus is a viral illness.
Death rates differ fundamentally, with the Spanish Influenza asserting millions of additional lives.
Be that as it may, both verifiable and current pandemics feature the basic significance of general well-being measures and worldwide joint effort.
Before addressing the how-to, we’ll cover the best graphs for tracking the Coronavirus Pandemic.
Suppose you have a Corona vaccination data center. Your goal is to get insights into the number of females and males who received the vaccination. Assume the table below represents the data in your possession.
Can you provide a coherent data story by just looking at the numbers below?
| Age Group | Male | Female |
| 18 to 24 | 1,054 | 1,111 |
| 25 to 29 | 1,057 | 1,641 |
| 30 to 34 | 1,470 | 2,526 |
| 35 to 39 | 1,793 | 3,549 |
| 40 to 44 | 2,534 | 5,470 |
| 45 to 49 | 4,842 | 9,587 |
| 50 to 54 | 8,692 | 13,514 |
| 55 to 59 | 13,855 | 15,088 |
| 60 to 64 | 19,897 | 17,718 |
| 65 to 69 | 30,179 | 23,745 |
| 70 to 74 | 31,688 | 22,873 |
| 75 to 79 | 28,753 | 21,490 |
| 80 to 84 | 21,779 | 19,052 |
| 85 to 89 | 13,104 | 13,662 |
| 90+ | 5,645 | 8,066 |
Note the difference after visualizing the data above.
A Sentiment Trend Graph is one of the best Pandemic Charts for demonstrating the trend of sentiments. The chart is amazingly critical, especially if your goal is to show the growth and decline of key variables.
The line curve in the chart shows the overall pattern and trend of a key variable over a specified period.
Take a look at the table below. What’s going on?
| Countries | Total Infections | Recoveries |
| USA | 81,410,101 | 77 |
| India | 43,009,390 | 99 |
| Brazil | 29,630,484 | 95 |
| France | 24,137,160 | 93 |
| UK | 20,093,762 | 92 |
| Germany | 18,683,287 | 79 |
| Russia | 17,582,692 | 92 |
| Turkey | 14,693,917 | 97 |
| Italy | 13,861,743 | 90 |
| Spain | 11,324,637 | 93 |
Notice the difference after visualizing data using a double-bar Chart
As the name suggests, the chart is made up of bars with varying axes.
Use the visualization design if your goal is to display insights into two varying metrics for in-depth insights. The role of line curves is to depict your data’s overall patterns and trends.
As you can see (in the table below), it’s not easy to tell a coherent data storytelling. You’ve got to visualize the data to display insights.
| Countries | Delivered | Earmarked, but not delivered | Outstanding Commitment |
| United States | 272,000,000 | 276,000,000 | 552,000,000 |
| China | 89,000,000 | 23,000,000 | 738,000,000 |
| Germany | 24,000,000 | 86,000,000 | 65,000,000 |
| France | 22,000,000 | 42,000,000 | 56,000,000 |
| United Kingdom | 15,000,000 | 7,000,000 | 78,000,000 |
Notice the difference after visualizing the data above. You can easily point out key metrics, such as the outstanding commitment and delivered vaccine doses.
A Grouped Column Graph (one of the recommended Pandemic Comparison Charts) displays more than one data series in clustered vertical columns. Each data series shares the same axis labels, so vertical bars are grouped by category.
Clustered bars directly compare multiple series in a given category. Amazingly easy to read and interpret graphs and charts, even for a non-technical audience.
Adding another variable to a chart can double the amount of data that is represented. Besides, the spacing between grouped bars makes comparisons clearer.
The Grouped Column Chart emphasizes the data within categories more than the data between them.
However, you can make comparisons between categories more clearly by using consistent color schemes.
Use an Dual Axis Line Graph (one of the best Pandemic Comparison Charts) if your goal is to display insights into varying metrics.
The visualization design uses two different axes to illustrate the relationships between two variables.
All the key data points are connected by a straight line to depict the overall pattern and trend. Keep reading because we’ll address the following in the coming section: what is the trend of COVID-19 based on a graph?
One of the tested and proven charts for displaying trends of key metrics related to the COVID-19 pandemic is a Dual Axis Line Chart. The visualization design is incredibly easy to read and interpret.
Excel generates very basic Dual Axis Line Graphs, Comparison Bar Charts, and other Pandemic Comparison Charts. This means you’ll have to spend extra effort and time editing the chart.
You don’t have to go through all this.
By downloading and installing a specific third-party add-in into Excel, you can access ready-made Pandemic Comparison Charts, including Comparison Bar Charts.
There are thousands of add-ins designed for Excel, but to simplify things, we tested over 60 data visualization-based add-ins.
We narrowed down our results based on the following factors:
The Excel add-in that met all our conditions is ChartExpo.
The tool comes with ready-made Pandemic Comparison Charts that need minimum editing.
Let’s take a closer look at ChartExpo.
ChartExpo is an Excel-based add-in with an ultra-friendly user interface to ensure that any professional can visualize data, irrespective of their coding or programming skills.
Keep reading because we’ll address the following in the coming section: what is the trend of COVID-19 based on a graph?
| Dates | Cases | Deaths |
| Jan-20 | 0 | 0 |
| Feb-20 | 0 | 0 |
| Mar-20 | 5476 | 2541 |
| Apr-20 | 5647 | 2341 |
| May-20 | 6123 | 1347 |
| Jun-20 | 6574 | 1147 |
| Jul-20 | 6134 | 1347 |
| Aug-20 | 7432 | 1437 |
| Sep-20 | 24650 | 1234 |
| Oct-20 | 44730 | 954 |
| Nov-20 | 93247 | 756 |
| Dec-20 | 167532 | 1524 |
| Jan-21 | 214000 | 3749 |
| Feb-21 | 168734 | 4378 |
| Mar-21 | 98573 | 3876 |
| Apr-21 | 45732 | 2876 |
| May-21 | 51269 | 2678 |
| Jun-21 | 27589 | 2167 |
| Jul-21 | 6547 | 1534 |
| Aug-21 | 912 | 1274 |
| Sep-21 | 5498 | 1673 |
| Oct-21 | 37951 | 4237 |
| Nov-21 | 29574 | 3124 |
| Dec-21 | 597413 | 3134 |
| Jan-22 | 1050000 | 3473 |
Check out the benefits of using Pandemic Comparison Charts below:
Simplifying patient care data through data visualization helps healthcare workers, such as nurses, interpret data faster.
You can use Pandemic Comparison Charts, such as the Dual Axis Line Chart, to illustrate an individual’s health status compared with others in a similar demographic.
The media often use charts to depict pandemic-related trends on a large scale. For instance, confirmed COVID-19 cases in the U.S. by state.
The Pandemic Comparison Charts, such as Double Bar Charts, can illustrate the most and least affected states.
Some of the tested and proven Pandemic Comparison Charts include:
These charts are incredibly easy to read and interpret, even for non-technical audiences. This explains why media houses use these charts to communicate pandemic-related stories for more charts you can explore the ChartExpo library in detail.
The ongoing global pandemic has caused socioeconomic devastation across the world.
It is for this reason, that healthcare facilities, pharmaceutical companies, and the World Health Organization (WHO) are tracking the Covid-19 spread closely. The amount of data generated as a result of close surveillance is immense.
Insights into the data have helped immensely in informing mitigation strategies. In the last few months, the spread of the disease is gone down significantly. This is partly due to the WHO leveraging data and sharing insights openly with governments, research centers, and healthcare facilities.
Some of the charts the World Health Organization (WHO) used to communicate its data stories successfully include:
Excel is one of the go-to popular data visualization tools among professionals and business owners worldwide. But the visualization tool lacks ready-made and visually stunning Pandemic Comparison Charts.
So, what’s the solution?
We recommend installing third-party apps, such as ChartExpo, into your Excel to access ready-made Pandemic Comparison Charts.
ChartExpo is an add-in you can easily download and install in your Excel app. Besides, this tool comes loaded with insightful and easy-to-interpret charts.
You don’t need programming or coding skills to visualize your data using ChartExpo.
Sign up for a 7-day free trial today to access easy-to-interpret and visually appealing Pandemic Comparison Charts.
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