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COVID-19 Cases in Franklin County Public Health’s Jurisdiction

All data updated Wednesdays at 4PM except holidays, unless otherwise noted.
Weekly updates provide a better and more accurate picture because of delays in data collection and reporting. Some data sources do not provide daily updates.

Current Situation

Ohio Public Health Advisory System canceled

On Thursday, May 27, 2021, Ohio Department of Health Director Stephanie McCloud announced the cancellation, effective immediately, of the Ohio Public Health Advisory System. The statewide alert system launched in July 2020 to assess the degree of COVID-19 spread by county and provide data to help guide individuals, businesses, schools, communities, local governments, and others in their response and actions during the pandemic. Source

Shows whether the trend in cases is increasing or decreasing by the number and rate of COVID-19 over time.
Total cases per 100,000
Shows how the percent of positive tests changes over time.
Weekly test positivity
Shows whether testing is increasing or decreasing over time by the number of testing being administered.
Test volume per 100,000
Shows how much strain is put on the hospital system and how much room hospitals have leftover for non-COVID patients.
Hospital beds occupied by COVID-19 patients

Last updated . Data source: CDC COVID-19 Data Tracker and Franklin County Department of Health. Data shown above for total cases per capita excludes cities of Columbus and Worthington while weekly test positivity, test volume per capita, and hospital beds occupied by COVID-19 patients includes them.

Cumulative totals

Updated M, W, F at 4 P.M. except holidays. ODH updates their numbers at 2 pm everyday and may not include our case counts at this time. For state case count, go to https://coronavirus.ohio.gov.

Confirmed Cases
Probable Cases
Asymptomatic Cases
Total Cases
Symptom Onset Date Range
Hospitalizations
Deaths
Cases, Males
Cases, Females
Age Range

Cases linked to other COVID cases

Beginning in mid-October, the decrease in percent of cases linked to another known COVID-19 case is likely caused by the surge in virus spread and subsequent increase of cases in the community. When community-wide spread increases and numbers of new cases exceed the capacity to investigate cases, knowing if a person with COVID-19 is linked to another person with COVID-19 decreases.

What to look for: High percentages are good, and 80% or greater is best. Note that the measures for the most recent 4 weeks tend to be less accurate because of delayed information reporting and collection.

Test turnaround times

What to look for: The goal is to have greater than 80% of tests reporting results to public health within 48 hours. When test results take more than 48 hours to report, the effectiveness of helping people with COVID-19 and people they may have infected decreases. Note that the measures for the most recent 4 weeks tend to be less accurate because of delayed information reporting and collection.

COVID-like illness admittance to emergency departments

What to look for: An increase in the number of people visiting the emergency department with symptoms of COVID-19 foreshadows an increase of people who will be diagnosed COVID-19. Note that the measures for the most recent 4 weeks tend to be less accurate because of delayed information reporting and collection.

Cases

Note that the measures for the most recent 4 weeks tend to be less accurate because of delayed information reporting and collection.

Hospitalization rate per capita

Note that the measures for the most recent 4 weeks tend to be less accurate because of delayed information reporting and collection.

Deaths

Note that the measures for the most recent 4 weeks tend to be less accurate because of delayed information reporting and collection.

View by: Deaths per capita Deaths by date

Cases by demographic

Cases by race and ethnicity are updated as additional data are available. Race and ethnicity categories will not align exactly with population totals because of incomplete data.

What to look for: Significant differences between the “% of all cases” and “% of population” for each race/age group indicate potential inequities in how the disease is being contracted and/or treated. For example, if 50% of all cases are among whites but whites are 75% of the population, then the data indicate non-white people are likely impacted more from COVID-19. Note that the measures for the most recent 4 weeks tend to be less accurate because of delayed information reporting and collection.

View by: % cases by race % cases by ethnicity % cases by age group % cases by sex

Cases by week

Note: Excludes case counts <11

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