Abstract
For feasibility and economical reasons, serum samples are often tested for more than one antigen. Studying diseases with similar transmission routes can govern new insights for disease dynamics. In this chapter, we focus on two different methods to study the association between several infections using multisera data. We restrict attention to two infections but note that these methods can be extended towards three or more infections.
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© 2012 Springer Science+Business Media New York
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Hens, N., Shkedy, Z., Aerts, M., Faes, C., Van Damme, P., Beutels, P. (2012). Modeling Multivariate Serological Data. In: Modeling Infectious Disease Parameters Based on Serological and Social Contact Data. Statistics for Biology and Health, vol 63. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-4072-7_12
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DOI: https://doi.org/10.1007/978-1-4614-4072-7_12
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Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4614-4071-0
Online ISBN: 978-1-4614-4072-7
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