The human–animal bond is beneficial for human health, but companion animals also pose a potential threat as vectors of zoonotic parasites, especially in urban areas where both human and dog densities are high. However, the knowledge about parasitic spillover in the urban environment is relatively scarce. The aim of the present study was to reveal which factors determine parasitic contamination in Estonian towns and provide up-to-date information about intestinal parasites of the Estonian dog population. In total, 657 samples of dog excrement was collected over one year of investigation from five towns in Estonia. Generalized linear mixed models were used to evaluate factors predicting infection risk in urban areas. In general, infection risk and intensity models predicted higher infection with endoparasites for small dogs in smaller towns, especially in apartment-house districts and in potential hazard zones. Helminth eggs and Giardia/Cystoisospora oocysts were detected in 64 samples, with an overall prevalence of 9.8%.

There is growing emphasis on the use of community treatment to reduce the level of morbidity caused by helminth infection. The design of chemotherapy programmes, in terms of frequency of treatment and proportion of the community treated, would be assisted by a quantitative framework which enabled the morbidity reduction achieved by different approaches to be compared. The present study describes a model developed for this purpose which embodies two innovative features. First, a quantitative score of morbidity (the proportion of individuals harbouring an intense infection) is used to rate the success of a programme and, second, the distribution of helminths in the host population is generated by a mechanism that allows the distribution to change dynamically as a function of both treatment and reinfection. The model behaviour, using values typical of Ascaris lumbricoides, indicates that the benefit derived from community chemo- therapy increases non-linearly with the coverage and efficacy of treatment.

Human populations are often infected with more than one species of parasite, especially in developing countries where overall rates of parasitism are high. Infections with multiple parasite species may not necessarily be independent within an individual as physiological, immunological or ecological factors may result in positive or negative associations between infections with different parasite species. A general framework for estimation of these associations is presented. Data from over 215000 individuals are analysed and the associations between geohelminth (Ascaris lumbricoides, Trichuris trichiura and hookworm) and malaria species are investigated. A method is presented for analysing data from multiple communities and testing whether the associations in different communities are equal. Overall estimates of the associations between species are obtained for each country and continent where data were available. Associations between geohelminth species were, in general, found to be positive whilst both positive and negative associations were found between the different Plasmodium species. There was evidence for significant geographical heterogeneity between the associations. A method for using these parameter estimates to predict the distribution of multiple infections when only marginal prevalence data are available is described and demonstrated.