Prior predictive simulations of the age-profile of seroprevalence to assess the appropriateness of the prior distributions for the parameters a and T used in the outbreak model.

The shaded area is the 95% highest density interval and the solid line is the mean estimate of seroprevalence. The priors were specified as follows: (A) <i>α</i> is Lognormal(log(0.2), 1) and T is Normal(30, 30). (B) <i>α</i> is Lognormal(log(0.4),1) and T is Exponential(1/20). (C) <i>α</i> is Lognormal(log(0.2),1) and T is Normal(10, 4). (D) <i>α</i> is Exponential(10) and T is Normal(30, 30). (PDF)

Publication Details

Journal
Figshare
Published
2025-02-03
DOI
https://doi.org/10.1371/journal.pcbi.1012777.s001
Primary Topic
COVID-19 epidemiological studies
Type
article
Field-Weighted Citation Impact
0.00
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Prior predictive simulations of the age-profile of seroprevalence to assess the appropriateness of the prior distributions for the parameters a and T used in the outbreak model.

Figshare
COVID-19 epidemiological studies
article

Prior predictive simulations of the age-profile of seroprevalence to assess the appropriateness of the prior distributions for the parameters a and T used in the outbreak model.

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Abstract

The shaded area is the 95% highest density interval and the solid line is the mean estimate of seroprevalence. The priors were specified as follows: (A) <i>α</i> is Lognormal(log(0.2), 1) and T is Normal(30, 30). (B) <i>α</i> is Lognormal(log(0.4),1) and T is Exponential(1/20). (C) <i>α</i> is Lognormal(log(0.2),1) and T is Normal(10, 4). (D) <i>α</i> is Exponential(10) and T is Normal(30, 30). (PDF)

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Prior predictive simulations of the age-profile of seroprevalence to assess the appropriateness of the prior distributions for the parameters a and T used in the outbreak model. · Figshare (2025) | TGRS Research Map | TGRS