Inferring seasonal infection risk at population and regional scales from serology samples.

ABSTRACT: Accurate estimates of seasonal infection risk can be used by animal health officials to predict future disease risk and improve understanding of the mechanisms driving disease dynamics. It can be difficult to estimate seasonal infection risk in wildlife disease systems because surveillance assays typically target antibodies (serosurveillance), which are not necessarily indicative of current infection, and serosurveillance sampling is often opportunistic. Recently developed methods estimate past time of infection from serosurveillance data using quantitative serological assays that indicate the amount of antibodies in a serology sample. However, current methods do not account for common opportunistic and uneven sampling associated with serosurveillance data. We extended the framework of sur

SUBMITTER: Wilber MQ 

PROVIDER: S-EPMC6940506 | biostudies-literature | 2020 Jan

REPOSITORIES: biostudies-literature