What does COVID-19 testing results really say? The real statistics concealed behind the accessible data

Area of Science:

• Epidemiology
• Public Health
• Biostatistics

Background:

• Accurate pandemic portrayal relies on comprehensive testing, yet current data may underestimate true infection numbers.
• Comparing international COVID-19 seropositivity is challenging due to varying testing extents.
• The true scale of the SARS-CoV-2 outbreak remains uncertain without robust testing data.

Purpose of the Study:

• To assess the relationship between COVID-19 transmission and patient age.
• To compare COVID-19 case fatality rates (CFR) with national age demographics.
• To develop and validate a method for estimating the minimum number of actual positive COVID-19 cases.

Main Methods:

• Analysis of COVID-19 testing results and reported case fatality rates.
• Comparison of age distribution in COVID-19 cases versus general population demographics.
• Development of a novel estimation method for actual infection numbers based on age and testing data.

Main Results:

• Case fatality rate (CFR) reflects virus spread but is influenced by testing extent, not solely outbreak size.
• No significant age-based differences in COVID-19 susceptibility were observed.
• Age distribution of COVID-19 cases increasingly aligns with population demographics over time.

Conclusions:

• Countries with lower CFRs exhibit age distributions more similar to their populations, indicating more comprehensive testing.
• The study proposes a validated method to estimate the real number of infected individuals using age demographics, CFR, and testing data.
• Accurate pandemic monitoring necessitates standardized and comprehensive SARS-CoV-2 testing strategies.