Year: 2020
Type: article
Abstract: The number of novel coronavirus (COVID-19) cases worldwide continues to grow, and the gap between reports from China and statistical estimates of incidence based on cases diagnosed outside China indicates that a substantial number of cases are underdiagnosed (Nishiura et al., 2020a). Estimation of the asymptomatic ratio—the percentage of carriers with no symptoms—will improve understanding of COVID-19 transmission and the spectrum of disease it causes, providing insight into epidemic spread. Although the asymptomatic ratio is conventionally estimated using seroepidemiological data (Carrat et al., 2008; Hsieh et al., 2014), the collection of these data requires significant logistical effort, time, and cost.
Institutions: Hokkaido University, Osaka Institute of Public Health
Language: English
Subfield: Modeling and Simulation
Field: Mathematics
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $1,750
Awards: G1333752383, G2521286739, G272849064, G3200704009, G3426404529, G3626557609, 大規模生物情報を活用したパンデミックの予兆、予測と流行対策策定, G4131686889, G4426487184, Empirical research on health policy issues in Japan based on comprehensive burden of disease analysis, G6669722936, G6718509927, G6808413247, Estimating effectiveness and its mechanism of case isolation
OpenAlex ID: W3012188173