ReviewEpidemics2024
Serodynamics: A primer and synthetic review of methods for epidemiological inference using serological data.
Review in Epidemics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
15 citing papers in PubMed.
- Serological Evidence of WidespreadVeterinary sciences · 2026Article
- Reconstruction of historical malaria transmission in Senegal using multiplex serocatalytic models.PLoS computational biology · 2026Article
- Local heterogeneity in Lassa fever serology in rural Nigeria: Implications for vaccine trial site selection.PLoS neglected tropical diseases · 2026Article
- A flexible class of latent variable models for the analysis of antibody response data.Biostatistics (Oxford, England) · 2026Article
- Epidemiological and antigenic inferences from serological cross-reactivity among arboviruses.Science translational medicine · 2025Article
- Article
- serocalculator, an R package for estimating seroincidence from cross-sectional serological data.medRxiv : the preprint server for health sciences · 2025Article
- Emergence of SARS-CoV-2 Omicron lineages shifted antibody-mediated protection curves.iScience · 2025Article
- serojump: A Bayesian tool for inferring infection timing and antibody kinetics from longitudinal serological data.PLoS computational biology · 2025Article
- Chikungunya virus burden and implications for vaccination programs.Nature medicine · 2025Article
- The Mathematics of Serocatalytic Models With Applications to Public Health Data.Statistics in medicine · 2025Article
- An integrative review of the combined use of mathematical and statistical models for estimating malaria transmission parameters.Malaria journal · 2025Review
- Latent class analysis identifies risk groups to model the expected benefits of SARS-CoV-2 interventions among university students.Scientific reports · 2025Article
- Evaluating Scope and Bias of Population-Level Measles Serosurveys: A Systematized Review and Bias Assessment.Vaccines · 2024Review
- The re-emergence of sexually transmissible multidrug resistantnpj antimicrobials and resistance · 2024Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
We present a review and primer of methods to understand epidemiological dynamics and identify past exposures from serological data, referred to as serodynamics. We discuss processing and interpreting serological data prior to fitting serodynamical models, and review approaches for estimating epidemiological trends and past exposures, ranging from serocatalytic models applied to binary serostatus data, to more complex models incorporating quantitative antibody measurements and immunological understanding. Although these methods are seemingly disparate, we demonstrate how they are derived within a common mathematical framework. Finally, we discuss key areas for methodological development to improve scientific discovery and public health insights in seroepidemiology.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.