[HTML][HTML] Statistical identifiability and sample size calculations for serial seroepidemiology

DN Vinh, MF Boni - Epidemics, 2015 - Elsevier
… We define a serial seroepidemiology study design as one in which N cross-sectional serum
samples are collected every M months from the general population, or a pool of blood donors…

Sample size calculation for estimating key epidemiological parameters using serological data and mathematical modelling

S Blaizot, SA Herzog, S Abrams, H Theeten… - BMC Medical Research …, 2019 - Springer
… of infection from seroprevalence data, various statistical methods … the overall seroprevalence
estimate, the sample size needed … could make use of serial seroprevalence surveys (ie, …

Statistical identifiability and sample size calculations for serial seroepidemiology.

DNV Dao Nguyen Vinh, MF Boni - 2015 - cabidigitallibrary.org
… In the statistical analysis presented here, we consider a … We refer to this study design as
a serial seroepidemiology (SSE… and are not always statistically identifiable, especially when …

Mathematical models used to inform study design or surveillance systems in infectious diseases: a systematic review

SA Herzog, S Blaizot, N Hens - BMC infectious diseases, 2017 - Springer
statistical approaches for sample size calculations, most often assuming independence
between individuals, do not capture the complex nature of infectious disease epidemiology. This …

Effects of accounting for interval-censored antibody titer decay on seroincidence in a longitudinal cohort study of leptospirosis

KA Owers Bonner, JS Cruz… - … of Epidemiology, 2021 - academic.oup.com
… different sampling intervals, improving sample size estimation… This 4-fold rise is equivalent
to a 2-dilution change in a serial … To eliminate potential statistical identifiability issues (15) and …

Structure of general-population antibody titer distributions to influenza A virus

NTD Nhat, S Todd, E De Bruin, TTN Thao, NHT Vy… - Scientific Reports, 2017 - nature.com
… -off value is the identification of recent symptomatic infections … To account for the large sample
size in our model selection … an atypical seroepidemiological design as the samples were …

Prevalence and predictors of anti-SARS-CoV-2 serology in a highly vulnerable population of Rio de Janeiro: A population-based serosurvey

LE Coelho, PM Luz, DC Pires, EM Jalil… - The Lancet Regional …, 2022 - thelancet.com
… Despite high levels of seroprevalence, we documented the unfolding of a new transmission
Sample size calculation for estimating key epidemiological parameters using serological …

serosim: An R package for simulating serological data arising from vaccination, epidemiological and antibody kinetics processes

A Menezes, S Takahashi, I Routledge… - PLoS computational …, 2023 - journals.plos.org
… of various seroepidemiological inference methods. We compared estimates for key statistics
such … with different sample sizes, spatial distribution of samples, and sampling frequencies, …

Inferring the time of infection from serological data

MF Boni, K Mølbak, KA Krogfelt - Handbook of infectious disease …, 2019 - taylorfrancis.com
… Each age-seroprevalence curve on the … sample sizes and more frequent sampling, partly
due to a deterministic model of antibody acquisition and antibody waning. When sample sizes

serosim: an R package for simulating serological survey data arising from vaccination, epidemiological and antibody kinetics processes

A Menezes, S Takahashi, I Routledge, CJE Metcalf… - medRxiv, 2023 - medrxiv.org
… the accuracy and power of new statistical methods. … sample sizes, spatial distribution of
samples, and sampling … biology and epidemiology which determine an observed sample of …