Related Experiment Video
Updated: Sep 1, 2025

Quantification and Whole Genome Characterization of SARS-CoV-2 RNA in Wastewater and Air Samples
Published on: June 30, 2023
Inferring the true number of SARS-CoV-2 infections in Japan
Lauren McKenzie1, Affan Shoukat2, Kai On Wong1
1BlueDot, Toronto, Ontario, Canada.
Introduction:
In Japan, as of December 31, 2021, more than 1.73 million laboratory-confirmed cases have been reported. However, the actual number of infections is likely to be under-ascertained due to the epidemiological characteristics such as mild and subclinical infections and limited testing availability in the early days of the pandemic. In this study, we infer the true number of infections in Japan between January 16, 2020, and December 31, 2021, using a statistical modelling framework that combines data on reported cases and fatalities.
Methods:
We used reported COVID-19 deaths and age-specific infection fatality ratios (IFR) to impute the true number of infections. Estimates of IFR were informed from published studies and were adjusted to reflect the effects of pharmaceutical interventions, mass vaccination, and evolving variants. To account for the uncertainty in IFR, we sampled values from relevant distributions.
Results:
We estimated that as of December 31, 2021, 3.07 million (CrI: 2.05-4.24 million) people had been infected in Japan, which is 1.77 times higher than the 1.73 million reported cases. Our meta-analysis confirmed that these findings were consistent with the intermittent seroprevalence studies conducted in Japan.
Conclusions:
We have estimated that a substantial number of COVID-19 infections in Japan were unreported, particularly in adults. Our approach provides a more realistic assessment of the true underlying burden of COVID-19. The results of this study can be used as fundamental components to strengthen population health control and surveillance measures.
Insights
More than 3 million COVID-19 infections occurred in Japan by December 2021, significantly underreported. This study used statistical modeling to estimate the true infection burden, revealing substantial underascertainment.
Area of Science:
- Epidemiology
- Biostatistics
- Public Health
Background:
- Over 1.73 million COVID-19 cases were reported in Japan by December 31, 2021.
- Actual infections were likely underestimated due to mild/subclinical cases and limited early testing.
- The study focuses on the period from January 16, 2020, to December 31, 2021.
Purpose of the Study:
- To infer the true number of COVID-19 infections in Japan.
- To provide a more realistic assessment of the COVID-19 burden.
- To inform public health control and surveillance measures.
Main Methods:
- Statistical modeling framework combining reported cases and fatalities.
- Imputation of true infections using reported deaths and age-specific infection fatality ratios (IFR).
- IFR estimates adjusted for interventions, vaccination, and variants, with uncertainty accounted for.
Main Results:
- An estimated 3.07 million (CrI: 2.05-4.24 million) infections by December 31, 2021.
- This represents 1.77 times the number of reported cases.
- Findings align with intermittent seroprevalence studies in Japan.
Conclusions:
- A substantial number of COVID-19 infections in Japan remained unreported, especially in adults.
- The study offers a more accurate understanding of the true COVID-19 burden.
- Results can enhance population health control and surveillance strategies.
Related Concept Videos
Estimating Population Mean with Unknown Standard Deviation
William S. Gosset (1876–1937) of the...
Estimating Population Standard Deviation
Statistical Methods for Analyzing Epidemiological Data
Estimating Population Mean with Known Standard Deviation
The confidence interval estimate will have the form as follows:
(point estimate - error bound, point estimate +...
Steps in Outbreak Investigation
Principles of Disease Surveillance

