what covid-19 looks like in ohio

By Dorian Frampton, President and Chief editor

COVID-19 is on everyone’s minds, whether we want it to be or not. It has raised a lot of concerns and questions that we have looked at in previous post. I think however, we should look into and understand the demographics of COVID-19 more closely for the state of Ohio.

The Ohio Department of Health has collected tons of data on COVID-19, and even has their own dashboard that you can visit on their website. I have used this data to make my own visualizations and interpretations of the data. The data I have used was downloaded on October 18th, and has since then been updated.

First of all, many people are wondering what category of people are most likely to contract the virus, and this is the kind of question we will be exploring today. This next visual will show which age group of people are most likely to contract the virus.

The above graph shows that those in their 20’s have contracted the virus the most out of all the other age groups, and that those aged 70 and higher have contracted the disease the least. This is likely due to the older being more careful about leaving the house, and are likely staying isolated during this epidemic. Those in their 20’s are likely more careless, due to the majority of young adults believing that they are healthy enough to not contract the disease.

The next two visuals will show how COVID-19 cases in Ohio have changed over time, first overall, then by gender.

We can see that the number of COVID-19 cases have generally increased over time, and that there was a spike in cases around April and May. We can see that females have accumulated roughly 10,000 more cases than males over this time period. Whether this is just by chance, or there is some reason for this, some additional research may be required to understand why this is.

Now I will show how the counties of Ohio compare in terms of COVID-19 cases, and this will help us understand where cases are more likely to occur given their geographical location.

From this map, we can see that counties that contain big cities have significantly more COVID-19 cases than a vast majority of other counties. To explore this more, we will take a look at exactly which counties have the most confirmed cases, as well as which have the least.

From the two above plots, we can see that the counties that have the most COVID-19 cases are those that hold the major cities in Ohio. Franklin houses Columbus, Cuyahoga houses Cleveland, Hamilton houses Cincinnati, and so forth. This makes sense because these cities have dense populations and widely used public facilities that dramatically increase the odd of contracting the disease. The counties with the least COVID-19 cases are also shown above, and have between 0 and 150 cases each. This is significantly lower than our top 5 counties who range between 8,000 and 30,000+ cases. These counties are likely mostly rural.

Thank you for taking the time to read through my post. All analyses were conducted on data provided by the Ohio Department of Health.


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