# Changing COVID-19 cases and deaths detection in Florida

## TL;DR

The paper analyzes how changes in testing and reporting affected the detection of COVID-19 cases and deaths in Florida during the first year of the pandemic.

## Contribution

The study introduces a method to detect and quantify reporting changes in epidemic data using baseline detection probabilities.

## Key findings

- Transmission trends among all age groups were similar except during the second summer wave when younger people were infected earlier.
- Case-fatality risk dropped significantly across all age groups over three pandemic waves, with the largest decline in the 0 to 39 age group.
- During the third wave, the death-to-hospitalization ratio varied proportionally with cases, while the hospitalization-to-case ratio varied inversely.

## Abstract

Epidemic data are often difficult to interpret due to inconsistent detection and reporting. As these data are critically relied upon to inform policy and epidemic projections, understanding reporting trends is similarly important. Early reporting of the COVID-19 pandemic in particular is complicated, due to changing diagnostic and testing protocols. An internal audit by the State of Florida, USA found numerous specific examples of irregularities in COVID-19 case and death reports. Using case, hospitalization, and death data from the the first year of the COVID-19 pandemic in Florida, we present approaches that can be used to identify the timing, direction, and magnitude of some reporting changes. Specifically, by establishing a baseline of detection probabilities from the first (spring) wave, we show that transmission trends among all age groups were similar, with the exception of the second summer wave, when younger people became infected earlier than seniors, by approximately 2 weeks. We also found a substantial drop in case-fatality risk (CFR) among all age groups over the three waves during the first year of the pandemic, with the most drastic changes seen in the 0 to 39 age group. The CFR trends provide useful insights into infection detection that would not be possible by relying on the number of tests alone. During the third wave, for which we have reliable hospitalization data, the CFR was remarkably stable across all age groups. In contrast, the hospitalization-to-case ratio varied inversely with cases while the death-to-hospitalization ratio varied proportionally. Although specific trends are likely to vary between locales, the approaches we present here offer a generic way to understand the substantial changes that occurred in the relationships among the key epidemic indicators.