Targeted sampling reduces the uncertainty in force of infection estimates from serological surveillance

Age bins are frequently used in serological studies of infectious diseases in wildlife to deal with uncertainty in the age of sampled animals. This study analyzed how age binning and targeted sampling in serological surveillance affect the width of the 95% confidence interval (CI) of the estimated f...

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Main Authors: Kiyeon Kim, Kimihito Ito
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-07-01
Series:Frontiers in Veterinary Science
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fvets.2022.754255/full
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author Kiyeon Kim
Kimihito Ito
author_facet Kiyeon Kim
Kimihito Ito
author_sort Kiyeon Kim
collection DOAJ
description Age bins are frequently used in serological studies of infectious diseases in wildlife to deal with uncertainty in the age of sampled animals. This study analyzed how age binning and targeted sampling in serological surveillance affect the width of the 95% confidence interval (CI) of the estimated force of infection (FOI) of infectious diseases. We indicate that the optimal target population with the narrowest 95% CI differs depending on the expected FOI using computer simulations and mathematical models. In addition, our findings show that we can substantially reduce the number of animals required to infer transmission risk by tailoring targeted, age-based sampling to specific epidemiological situations.
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spelling doaj.art-96bcc8acde244dc69fa4de2ff6038e6b2022-12-22T00:58:30ZengFrontiers Media S.A.Frontiers in Veterinary Science2297-17692022-07-01910.3389/fvets.2022.754255754255Targeted sampling reduces the uncertainty in force of infection estimates from serological surveillanceKiyeon KimKimihito ItoAge bins are frequently used in serological studies of infectious diseases in wildlife to deal with uncertainty in the age of sampled animals. This study analyzed how age binning and targeted sampling in serological surveillance affect the width of the 95% confidence interval (CI) of the estimated force of infection (FOI) of infectious diseases. We indicate that the optimal target population with the narrowest 95% CI differs depending on the expected FOI using computer simulations and mathematical models. In addition, our findings show that we can substantially reduce the number of animals required to infer transmission risk by tailoring targeted, age-based sampling to specific epidemiological situations.https://www.frontiersin.org/articles/10.3389/fvets.2022.754255/fullserological surveillancewildlifecatalytic modelforce of infectionconfidence intervalstargeted sampling
spellingShingle Kiyeon Kim
Kimihito Ito
Targeted sampling reduces the uncertainty in force of infection estimates from serological surveillance
Frontiers in Veterinary Science
serological surveillance
wildlife
catalytic model
force of infection
confidence intervals
targeted sampling
title Targeted sampling reduces the uncertainty in force of infection estimates from serological surveillance
title_full Targeted sampling reduces the uncertainty in force of infection estimates from serological surveillance
title_fullStr Targeted sampling reduces the uncertainty in force of infection estimates from serological surveillance
title_full_unstemmed Targeted sampling reduces the uncertainty in force of infection estimates from serological surveillance
title_short Targeted sampling reduces the uncertainty in force of infection estimates from serological surveillance
title_sort targeted sampling reduces the uncertainty in force of infection estimates from serological surveillance
topic serological surveillance
wildlife
catalytic model
force of infection
confidence intervals
targeted sampling
url https://www.frontiersin.org/articles/10.3389/fvets.2022.754255/full
work_keys_str_mv AT kiyeonkim targetedsamplingreducestheuncertaintyinforceofinfectionestimatesfromserologicalsurveillance
AT kimihitoito targetedsamplingreducestheuncertaintyinforceofinfectionestimatesfromserologicalsurveillance