| Literature DB >> 28166860 |
Abstract
Many infectious diseases in humans may manifest with no or mild symptoms. While numerous studies have estimated the proportion of infectious individuals in whom symptoms are absent during the entire course of infection, the contribution of asymptomatic cases to the overall cumulative incidence is difficult to untangle. Here, with a mathematical model, we provide a simple analytical formula to quantify this contribution and highlight the potential for large errors that can arise when naively estimating it.Entities:
Keywords: Asymptomatic infection; epidemiology; mathematical modelling; public health
Mesh:
Year: 2017 PMID: 28166860 PMCID: PMC9507848 DOI: 10.1017/S0950268817000115
Source DB: PubMed Journal: Epidemiol Infect ISSN: 0950-2688 Impact factor: 4.434