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Please search for data visualization dashboard for COVID-19 disease. You can search from different sources from the internet.
Create Topic and Post the link to the dashboard and discuss what you like and what you do not like in the dashboard.
Please also provide your comments to your friend’s post as well. -
This infographic is a report of Covid-19 situation around the world on May 25, 2020. Sorry that it is in Thai.
I choose this infographic because it has many points which can be improved.
What I like:
– The line plot is easy to understand the trend of Covid-19 infected people.
– Use of national flags can help readers understand without reading the country name; however, ones must know what countries belong to those flags.
– They order the countries from those with higher number of Covid-19 infected people first.What I do not like:
– The report of disease burden should be adjusted with total population.
– The number on Y-axis should be separated by , (comma).
– There are too many lines. We can choose to show only reference countries e.g., the USA, the UK, Japan, China, Singapore
– The top 10 countries with highest infection and mortality should be shown in bar chart which can be easier understood, and can compare among countries.-
I agree with you that the chosen line plots are most suitable for this case. However, those plots are too overcrowded with too much lines (more than the optimum of 4-5 lines) so it’s hard to make people focus on what they want to illustrate. In my opinion, it would be much nicer if they just select plots from the top ten list and discard the rest.
Also, the colour scheme used is too vibrant and lack of carefulness in chosen colour theme. They are not blended and those combinations are just not go well together.
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The WHO COVID-19 Dashboard is a valuable resource for anyone who wants to stay up-to-date on the global spread of the pandemic. It provides a wealth of information, including data on cases, deaths, testing, and vaccination.
Pros:
The dashboard is updated regularly, so we can be sure that the information we’re seeing is accurate.The data is presented in a clear and concise way, making it easy to understand.
The dashboard includes data from all over the world, so we can see how the pandemic is affecting different countries.
The dashboard is free to use, so anyone can access it.
Cons:
The dashboard can be overwhelming, especially if you’re not used to looking at data.The data may not be complete, as some countries may not be reporting all of their cases and deaths.
The dashboard does not provide information on the severity of the cases, so we can’t tell how many people are experiencing mild, moderate, or severe symptoms.
https://ourworldindata.org/covid-sources-comparisonOur World in Data – This website provides a wide range of data visualizations on a variety of topics, including COVID-19. The data is sourced from a variety of organizations, including the WHO, the CDC, and the World Bank.
Pros
Our World in Data provides a wide range of data visualizations on a variety of topics, including COVID-19. This makes it easy to see how different factors are related to each other and to track changes over time.The data on Our World in Data is sourced from reputable sources, such as the WHO, the CDC, and the World Bank. This means that the data is likely to be accurate and reliable.
Our World in Data is easy to use. The website is well-designed and the data visualizations are clear and easy to understand.
Cons:
The data on Our World in Data is updated regularly, but it is possible that some of the data may be outdated. This is because the data is collected from a variety of sources and it can take time for the data to be updated.The data on Our World in Data can be misinterpreted by people who do not understand how to read and interpret data visualizations. This is why it is important to read the accompanying text and to consult with a data expert if we are unsure about how to interpret the data.
https://coronavirus.jhu.edu/map.htmlThis dashboard provides up-to-date information on the global spread of COVID-19, including confirmed cases, deaths, and recoveries. It also includes data on testing, vaccination, and other factors.
Pros
The Johns Hopkins Coronavirus Resource Center provides up-to-date information on the global spread of COVID-19. This information is updated daily, and it is based on data from a variety of sources, including the Centers for Disease Control and Prevention (CDC), and national governments.The Johns Hopkins Coronavirus Resource Center provides a wide range of data on COVID-19, including confirmed cases, deaths, recoveries, testing, vaccination, and other factors. This data can be used to track the spread of the virus, to assess the effectiveness of public health measures, and to make informed decisions about personal health and safety.
The Johns Hopkins Coronavirus Resource Center is easy to use. The website is well-designed and the data is presented in a clear and concise way.
Cons
The data on the Johns Hopkins Coronavirus Resource Center may be inaccurate because some countries might not report the actual numbers.The data on the Johns Hopkins Coronavirus Resource Center might not represent the on ground situation in LMIC countries.
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The above picture illustrates a dashboard of Covid-19 situation in Jakarta, the capital of Indonesia that is a province. It is generated from a website that contains information about Covid-19 in Jakarta only. You can find this visualization at the following link: https://corona.jakarta.go.id/en/statistik-covid-19-berbasis-kelurahan .
The good things seen from this dashboard are:
1. Indicators used within this dashboard are quite familiar to people because it uses frequency, proportion, and rate measurements.
2. The dashboard is brave enough to display spatial data with a combined approach: polygons for areas inside Jakarta and satellites for areas outside Jakarta. The spatial unit displayed within the map shows the Covid-19 situation per village (pieces of sub-districts).
3. Not too crowded by colour as it consists of 3 different colours: white, yellow, and old-blue. Though the colouring used in the proportion diagram does not apply the brightness approach, the contrast between yellow and dark blue is easy to understand.In contrast, it’s disheartening to witness the weaknesses of this dashboard, including:
1. Bilingual option does not work for dashboard content but only works for website menus.
2. This visualization used less aesthetically pleasing template, seen from: a) disproportionate font sizes among indicators; b) formal colour in overall appearance creates the dashboard seems monotonous; c) the use of half-doughnuts for proportion diagram that is not appropriate.
3. Beneath map displays the rank of the high-risk region to the lowest one but uses a line graph. Also, information about the number collides with each other.
4. The colour differences on the map do not show specific information, only as a differentiator between one village and another.My recommendations for this dashboard are:
1. Dashboard’s contents should be able to be translated into various languages, at least Indonesian and English.
2. To overcome unattractive templates, the providers can: a) use chunking techniques to cut larger numbers or use proportional font sizes; b) selection of colors according to current trends; c) use a donut/pie chart/bar chart to display proportions.
3. Use a bar chart or table to rank areas with high to low transmission risk.
4. In mapping risks of cases, standardized epidemiological indicators (e.g., positivity rate) should be used to differentiate each spatial unit, while village boundaries should be sufficiently explained with lines.-
I agree with you, FARKHAN. Thank you for sharing.
From this dashboard, I like:
– The interactive map feature that allows users to click and explore detailed information for each area.
– The color scheme used, which is not overly diverse.However, there are a few areas where I believe this dashboard could be improved, such as:
– The font size, which is extremely small.
– Some data that is unclear. For example, the mortality rate; I’m not sure if it represents data for a specific time interval or the overall data.
– The line chart uses the X-axis as an area. it might be better represented as a bar chart to enhance clarity.
– The size of the numbers on the right side varies, which does not seem to correspond to the magnitude of the numbers. I think, the font size followed the number of digits, where larger numbers of digits would have smaller font sizes.
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https://ddc.moph.go.th/covid19-dashboard/?dashboard=province
The dashboard above provides updated information on the weekly COVID-19 status in Thailand, with the latest update as of June 11, 2023. First of all, I apologize for the data being in Thai.
From this dashboard, I found several aspects that I like:
• The use of color tones that are not too harsh on the eyes, with clear meanings. For example, red represents the number of new infections, black represents the number of deaths, and blue represents the number of vaccinated individuals.
• The dashboard also includes a bar chart that shows the provinces with the highest number of infections, with colors graded according to the intensity of the infection rate. This makes it easy to distinguish which provinces have a high number of infections. Additionally, there is a total number of infections displayed at the end of each bar, allowing for easy comparison even among closely ranked provinces.
• The dashboard also features a map of Thailand, color-graded according to the number of infections in each province, which corresponds to the bar chart. This enables users to have a better overall view of the spread of the pandemic in each region.
• It is an interactive dashboard where users can scroll to view the infection rates in each province, and they can hover their mouse over the map to see the number of infections in each province.What I dislike about this dashboard:
• There are line charts that attempt to show the trend of infection and death rates, but it lacks labels on both the x and y axes, which may result in unclear interpretation.
• The text and numbers feel cramped together, causing eye strain, such as in the blue frame displaying the number of vaccinated individuals.-
I agree with you on the color as well. Since early dashboards that were published at the beginning of pandemic. The colors were too harsh to the eyes and scared people by colors intensity.
One more thing I would like to add is about language:
If they want to use transliterated words, it should be all transliterated words. But the above dashboard reported “Jun” instead of “มิ.ย.” in Thai. For those who don’t understand English will not be able to know what does it mean.In addition, they use both “เข็ม = injection” and dose in the same box of cumulative vaccination record. Instead they should decide to use just either injection or dose.
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What I impress is the color and tone of this dashboard since many Thai presses use intense colors and tones for COVID-19 situation.
I like how they use pictures and symbols instead of words this makes me want to read it, rather than provide only information in words without any pictures. Such as the human symbols with colors that classified disease status of patients [red for infected, orange for active, green for cured, and black for death]. In addition, the colors that classified gender are easily differentiated.
Moreover, I like how they demonstrated the line graph that make people could easily understand trends of the situation.
However, for the distribution of confirmed cases by age group reported in bar chart should be showed in color that is different from that uses for gender classification. Since some people (most of male who have problem with color blindness) might have problem with distinguishing tones of colors, the intensity/saturation/tones of blue that illustrates distribution of cumulative cases should be clearer or better make it in different color.
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Hi, I like your chosen dashboard. It is also true to say that the given colour in the bar chart is prone to missleading information for the readers. But overall, the dashboard style is inspiring as WHO is able to demonstrate a dashboard with proportionate verbal, numerical, and art context. What I satisfy with this dashboard there’s a delicate balance to using pastel color to keep it simple.
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https://covid19.who.int/
The dashboard used chunking of numbers to enhance working memory.
The dashboard avoid grid lines encouraging to be focus for the viewer and thus enhancing pre-attention process.
The used of histogram to desxribe the trend of Covid-19 cases across the continents is appropriate.
The used of appropriate color and contrast to describe the total cases of Covid-19 cases across the globe is noticable.
Adding meaning (National flag of each country) in the dashboard helped enhancing the long term memory of the viewer and make it more recognizable. -
https://snipboard.io/lIwRhT.jpg
This is Covid19 Dashboard of City of El Paso,Texas,USA, captured from situation in September 2020.
Main link resource : https://www.epstrong.org/This is one of those dashboard that catch my eye, probably from its partition and color theme, different types of chart but simple and familiar, not overcrowded information for the local people.
The font that they use is easy to read. There are picture/icons that represent some keywords. The scale of situation is clearly seen and like 1-sec wrap up for people who read.
The pie chart, bar chart, line chart are properly used, for estimation value, comparing between area group and also looking the overall trend of disease. I think the light dot grid here is kind of good example to use the grid and they choose one color with different intensity instead of different colors, that makes reader to be more focus.
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I would like to introduce the dashboard that was released by the University of Virginia’s Biocomplexity Institute. It used to provide a real-time county-level data for enabling people to understand how their communities are affected. However, this dashboard was stopped updating since March 2023. Nevertheless, I think this dashboard would be a good sample to be discussed.
I like the way it classified Est.Active, Confirmed, Deaths, and Est.Recovered in different color both in table and analytic line graph. Moreover, when we hovered the cursor in the graph area, it displayed the number of that exact point. This table is simple and easy to understand. In the geographic dashboard, they use the color intensity present the estimate active, confirmed, death, and recovered. The higher number of patients will have higher intensity of color.
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