An approach for modeling cross-immunity of two strains, with application to variants of Bartonella in terms of genetic similarity. Epidemics 2014 Jun;7:7-12
Date
06/15/2014Pubmed ID
24928664DOI
10.1016/j.epidem.2014.03.001Scopus ID
2-s2.0-84897945879 (requires institutional sign-in at Scopus site) 4 CitationsAbstract
We developed a two-strain susceptible-infected-recovered (SIR) model that provides a framework for inferring the cross-immunity between two strains of a bacterial species in the host population with discretely sampled co-infection time-series data. Moreover, the model accounts for seasonality in host reproduction. We illustrate an approach using a dataset describing co-infections by several strains of bacteria circulating within a population of cotton rats (Sigmodon hispidus). Bartonella strains were clustered into three genetically close groups, between which the divergence is correspondent to the accepted level of separate bacterial species. The proposed approach revealed no cross-immunity between genetic clusters while limited cross-immunity might exist between subgroups within the clusters.
Author List
Ahn KW, Kosoy M, Chan KSAuthor
Kwang Woo Ahn PhD Professor in the Institute for Health and Equity department at Medical College of WisconsinMESH terms used to index this publication - Major topics in bold
AnimalsBartonella
Bartonella Infections
Coinfection
Confidence Intervals
Disease Models, Animal
Disease Vectors
Immunity
Least-Squares Analysis
Rats
Rodent Diseases
Sigmodontinae
