Ontology highlight
ABSTRACT:
SUBMITTER: Quandelacy TM
PROVIDER: S-EPMC8034731 | biostudies-literature | 2021 Mar
REPOSITORIES: biostudies-literature
Quandelacy Talia M TM Healy Jessica M JM Greening Bradford B Rodriguez Dania M DM Chung Koo-Whang KW Kuehnert Matthew J MJ Biggerstaff Brad J BJ Dirlikov Emilio E Mier-Y-Teran-Romero Luis L Sharp Tyler M TM Waterman Stephen S Johansson Michael A MA
PLoS computational biology 20210330 3
Emerging epidemics are challenging to track. Only a subset of cases is recognized and reported, as seen with the Zika virus (ZIKV) epidemic where large proportions of infection were asymptomatic. However, multiple imperfect indicators of infection provide an opportunity to estimate the underlying incidence of infection. We developed a modeling approach that integrates a generic Time-series Susceptible-Infected-Recovered epidemic model with assumptions about reporting biases in a Bayesian framewo ...[more]