Jointly estimating epidemiological dynamics of Covid-19 from case and wastewater data in Aotearoa New Zealand.

ABSTRACT:

Background

Timely and informed public health responses to infectious diseases such as COVID-19 necessitate reliable information about infection dynamics. The case ascertainment rate (CAR), the proportion of infections that are reported as cases, is typically much less than one and varies with testing practices and behaviours, making reported cases unreliable as the sole source of data. The concentration of viral RNA in wastewater samples provides an alternate measure of infection prevalence that is not affected by clinical testing, healthcare-seeking behaviour or access to care.

Methods

We construct a state-space model with observed data of levels of SARS-CoV-2 in wastewater and reported case incidence and estimate the hidden states of the effective reproduction number, R, a

SUBMITTER: Watson LM 

PROVIDER: S-EPMC11250817 | biostudies-literature | 2024 Jul

REPOSITORIES: biostudies-literature