Oup encounter degree scores, which have been calculated on a grouplevel basis
Oup encounter degree scores, which have been calculated on a grouplevel basis and also the similar score allocated to all members of that group present at the time point in question. (e) Data analysis I analysed information in blocks of 3 months (i.e. eight time points within the 24month study period) for three factors. Initially, detailed network evaluation of the stability of intra 
and intergroup social interactions over a variety of time intervals revealed social networks constructed from data collected over 3 months to be representative of both shorter timeproportion of your total flow inside the network (Hanneman Riddle 2005). If social interactions are interpreted as representing the prospective flow of disease inside a network, thenProc. R. Soc. B (200)Tuberculosis transmission in meerkats J. A. Dreweintervals (down to a single week for intragroup interactions) and longer time intervals (as much as 24 months for intergroup interactions; Drewe et al. 2009c). Second, given that it is actually vital to match information collection for transmission networks for the dynamics of the unique pathogen being studied (Perkins et al. 2009), networks constructed applying three months of interactions data are likely to become biologically meaningful given the chronic nature of TB. I made the assumption that a meerkat becoming infected through one threemonth time period was unlikely to go on to infect other people during the same time period owing for the apparently lengthy incubation period of TB in meerkats (Drewe 2009) but acknowledge that this may be affected by the route of transmission. Third, the intersampling interval for TB testing of meerkats was around 3 months and hence relationships involving PubMed ID:https://www.ncbi.nlm.nih.gov/pubmed/20014881 social interactiveness and adjust in infection status may be examined together over the exact same time period. A logistic regression was made use of to examine for associations in between sex, age and dominance status, and the 1st TB test result of each and every meerkat to test for bias owing to left censorship of information. This was needed mainly because meerkats entered the study immediately after birth and the probably folks to develop into infected may perhaps have currently carried out so before the study. Since not all meerkats had been sampled at each time point, a logistic regression was applied to examine for an association among monitoring time and TB test outcome for each animal, in case exposure time was a confounding CCG-39161 manufacturer variable in the incidence of testing TBpositive. These analyses were carried out in SPSS v. 5 with sex and dominance status as binary variables, and age (in months) and monitoring time (in days) as continuous variables. Behavioural correlates in the incidence of testing TB positive have been analysed using social network evaluation in UCINET (Borgatti et al. 2002). Person M. bovis infection incidence status was recorded as a dichotomous variable (0 adverse, i.e. all serologic and culture results unfavorable; incident case of infection, i.e. the first time point at which serology andor culture results had been constructive for that animal). Infection status was applied as the dependent variable, with outdegree, indegree and flowbetweenness centrality measures as individuallevel explanatory variables. I tested for associations between each meerkat’s social network scores and modify in M. bovis infection status during each threemonth period making use of nodelevel OLS regression tests (Hanneman Riddle 2005). This evaluation accounts for autocorrelation between data points in the network. The algorithm proceeds by initially determining the slope coefficients for.