Comparative community-level associations of helminth infections and microparasite shedding in wild long-tailed macaques in Bali, Indonesia.

Helminthes have the capacity to modulate host immunity, leading to positive interactions with coinfecting microparasites. This phenomenon has been primarily studied during coinfections with a narrow range of geo-helminthes and intracellular microparasites in human populations or under laboratory conditions. Far less is known regarding differences in coinfection dynamics between helminth types, the range of microparasites that might be affected or the overall community-level effects of helminth infections on microparasites in wild systems. Here, we analysed the presence/absence and abundance patterns of enteric parasites in long-tailed macaques (Macaca fascicularis) on the island of Bali, Indonesia, to assess whether naturally occurring helminth infections were associated with increased shedding of the most common intracellular (Cryptosporidium spp., Isospora spp.) and extracellular (Entamoeba spp., Giardia spp.) microparasites. We also comparatively assessed the statistical correlations of different helminth taxa with microparasite shedding to determine if there were consistent relationships between the specific helminth taxa and microparasites. Helminth infections were associated with increased shedding of both intracellular and extracellular microparasites. Platyhelminthes repeatedly displayed strong positive correlations with several microparasites; while nematodes did not. Our results indicate that helminthes can influence microparasite community shedding dynamics under wild conditions, but that trends may be driven by a narrow range of helminthes.

Human behavior and opportunities for parasite transmission in communities surrounding long-tailed macaque populations in Bali, Indonesia.

Spatial overlap and shared resources between humans and wildlife can exacerbate parasite transmission dynamics. In Bali, Indonesia, an agricultural-religious temple system provides sanctuaries for long-tailed macaques (Macaca fascicularis), concentrating them in areas in close proximity to humans. In this study, we interviewed individuals in communities surrounding 13 macaque populations about their willingness to participate in behaviors that would put them at risk of exposure to gastrointestinal parasites to understand if age, education level, or occupation are significant determinants of exposure behaviors. These exposure risk behaviors and attitudes include fear of macaques, direct contact with macaques, owning pet macaques, hunting and eating macaques, and overlapping water uses. We find that willingness to participate in exposure risk behaviors are correlated with an individual's occupation, age, and/or education level. We also found that because the actual risk of infection varies across populations, activities such as direct macaque contact and pet ownership, could be putting individuals at real risk in certain contexts. Thus, we show that human demographics and social structure can influence willingness to participate in behaviors putting them at increased risk for exposure to parasites.

A test of agent-based models as a tool for predicting patterns of pathogen transmission in complex landscapes.

BACKGROUND: Landscape complexity can mitigate or facilitate host dispersal, influencing patterns of pathogen transmission. Spatial transmission of pathogens through landscapes, therefore, presents an important but not fully elucidated aspect of transmission dynamics. Using an agent-based model (LiNK) that incorporates GIS data, we examined the effects of landscape information on the spatial patterns of host movement and pathogen transmission in a system of long-tailed macaques and their gut parasites. We first examined the role of the landscape to identify any individual or additive effects on host movement. We then compared modeled dispersal distance to patterns of actual macaque gene flow to both confirm our model's predictions and to understand the role of individual land uses on dispersal. Finally, we compared the rate and the spread of two gastrointestinal parasites, Entamoeba histolytica and E. dispar, to understand how landscape complexity influences spatial patterns of pathogen transmission. RESULTS: LiNK captured emergent properties of the landscape, finding that interaction effects between landscape layers could mitigate the rate of infection in a non-additive way. We also found that the inclusion of landscape information facilitated an accurate prediction of macaque dispersal patterns across a complex landscape, as confirmed by Mantel tests comparing genetic and simulated dispersed distances. Finally, we demonstrated that landscape heterogeneity proved a significant barrier for a highly virulent pathogen, limiting the dispersal ability of hosts and thus its own transmission into distant populations. CONCLUSIONS: Landscape complexity plays a significant role in determining the path of host dispersal and patterns of pathogen transmission. Incorporating landscape heterogeneity and host behavior into disease management decisions can be important in targeting response efforts, identifying cryptic transmission opportunities, and reducing or understanding potential for unintended ecological and evolutionary consequences. The inclusion of these data into models of pathogen transmission patterns improves our understanding of these dynamics, ultimately proving beneficial for sound public health policy.