Reconstructing COVID-19 incidences from positive RT-PCR tests by deconvolution.

ABSTRACT:

Background

The emergency of new COVID-19 variants over the past three years posed a serious challenge to the public health. Cities in China implemented mass daily RT-PCR tests by pooling strategies. However, a random delay exists between an infection and its first positive RT-PCR test. It is valuable for disease control to know the delay pattern and daily infection incidences reconstructed from RT-PCR test observations.

Methods

We formulated the convolution model between daily incidences and positive RT-PCR test counts as a linear inverse problem with positivity restrictions. Consequently, the Richard-Lucy deconvolution algorithm was used to reconstruct COVID-19 incidences from daily PCR tests. A real-time deconvolution was further developed based on the same mathematical pr

SUBMITTER: Li M 

PROVIDER: S-EPMC10568936 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature