Predictors of zoonotic potential in helminths

Majewska A.A., Huang T., Han B., Drake J.M.

AbstractHelminths are parasites that cause disease at considerable cost to public health and present a risk for emergence as novel human infections. Although recent research has elucidated characteristics conferring a propensity to emergence in other parasite groups (e.g. viruses), the understanding of factors associated with zoonotic potential in helminths remains poor. We applied an investigator-directed learning algorithm to a global dataset of mammal helminth traits to identify factors contributing to spillover of helminths from wild animal hosts into humans. We characterized parasite traits that distinguish between zoonotic and non-zoonotic species with greater than 88% accuracy. Results suggest that helminth traits relating to transmission (e.g. definitive and intermediate hosts) and geography (e.g. distribution) are more important to predicting zoonotic species than morphological or epidemiological traits. Whether or not a helminth causes infection in companion animals (cats and dogs) is the most important predictor of propensity to cause human infection. Finally, we identified helminth species with high modeled propensity to cause zoonosis (over 70%) that have not previously been deemed to be of risk. This work highlights the importance of prioritizing studies on the transmission of helminths that infect pets and points to the risks incurred by close associations with these animals.

Jarvi S.I., Eamsobhana P., Quarta S., Howe K., Jacquier S., Hanlon A., Snook K., McHugh R., Tman Z., Miyamura J., Kramer K., Meyer M.

Angiostrongylus cantonensis is a zoonotic, parasitic nematode causing angiostrongyliasis or rat lungworm disease. Clinical diagnosis in humans is currently confirmed by detection of parasite DNA in cerebrospinal fluid. This study estimated human exposure to A. cantonensis in volunteer participants solicitated via public venues on east Hawai'i Island using blood-based tests. Antibodies were screened in sera by crude antigen ELISA, followed by a 31-kDa dot-blot test developed and validated in Thailand. Human participants (n = 435) donated blood samples and completed a questionnaire to self-report relevant symptomology or clinical diagnosis. Among symptoms reported by participants diagnosed by licensed clinicians, headaches, high eosinophil counts, stiff neck, fatigue, and joint pain were most severe during the initial 3 months of infection. ELISA results revealed 22% of the serum samples as positive, 46% as equivocal, and 32% as negative. A subset of 186 samples was tested by dot blot, with 30% testing positive and 70% testing negative. A significantly higher mean ELISA value was found among recently (2014-2015) clinically diagnosed participants as than among those with a diagnosis before 2010 (P = 0.027). All dot-blot positives were also ELISA positive and were significantly associated with higher ELISA values compared with dot-blot negatives (P = 0.0001). These results suggest that an ELISA using crude antigen isolated from adult A. cantonensis from Hawai'i may be an effective initial screening method for estimating exposure to A. cantonensis in Hawai'i and likewise suggest that dot-blot tests using the 31-kDa antigen exhibit efficacy as a diagnostic for exposure.

Becker D.J., Washburne A.D., Faust C.L., Pulliam J.R., Mordecai E.A., Lloyd-Smith J.O., Plowright R.K.

Ellwanger J.H., Chies J.A.

The presence of domestic/free-ranging dogs in Brazilian protected areas and native vegetation fragments is an important problem, mainly because these animals pose a threat to wild species that live in such areas. In addition, dogs constantly circulate between wildlife environments and urban regions, acting as "bridges" in spillover events. Dogs are traditionally recognized as vectors of zoonoses, which are correct, but their roles as facilitating agents for the "jump" of pathogens from wild animals to humans (and vice versa) are sparsely debated. In this context, this work briefly describes the different roles of dogs in the dynamics and ecology of infectious diseases, using the Brazilian scenario as a study model.

Byers J.E., Schmidt J.P., Pappalardo P., Haas S.E., Stephens P.R.

Free-living species vary substantially in the extent of their spatial distributions. However, distributions of parasitic species have not been comprehensively compared in this context. We investigated which factors most influence the geographical extent of mammal parasites. Using the Global Mammal Parasite Database we analysed 17 818 individual geospatial records on 1806 parasite species (encompassing viruses, bacteria, protozoa, arthropods and helminths) that infect 396 carnivore, ungulate and primate host species. As a measure of the geographical extent of each parasite species we quantified the number and area of world ecoregions occupied by each. To evaluate the importance of variables influencing the summed area of ecoregions occupied by a parasite species, we used Bayesian network analysis of a subset ( n = 866) of the parasites in our database that had at least two host species and complete information on parasite traits. We found that parasites that covered more geographical area had a greater number of host species, higher average phylogenetic relatedness between host species and more sampling effort. Host and parasite taxonomic groups had weak and indirect effects on parasite ecoregion area; parasite transmission mode had virtually no effect. Mechanistically, a greater number of host species probably increases both the collective abundance and habitat breadth of hosts, providing more opportunities for a parasite to have an expansive range. Furthermore, even though mammals are one of the best-studied animal classes, the ecoregion area occupied by their parasites is strongly sensitive to sampling effort, implying mammal parasites are undersampled. Overall, our results support that parasite geographical extent is largely controlled by host characteristics, many of which are subsumed within host taxonomic identity.

Kahle D., Wickham H.

In spatial statistics the ability to visualize data and models superimposed with their basic social landmarks and geographic context is invaluable. ggmap is a new tool which enables such visualization by combining the spatial information of static maps from Google Maps, OpenStreetMap, Stamen Maps or CloudMade Maps with the layered grammar of graphics implementation of ggplot2. In addition, several new utility functions are introduced which allow the user to access the Google Geocoding, Distance Matrix, and Directions APIs. The result is an easy, consistent and modular framework for spatial graphics with several convenient tools for spatial data analysis. Introduction Visualizing spatial data in R can be a challenging task. Fortunately the task is made a good deal easier by the data structures and plot methods of sp, RgoogleMaps, and related packages (Pebesma and Bivand, 2006; Bivand et al., 2008; Loecher and Berlin School of Economics and Law, 2013). Using those methods, one can plot the basic geographic information of (for instance) a shape file containing polygons for areal data or points for point referenced data. However, compared to specialized geographic information systems (GISs) such as ESRI’s ArcGIS, which can plot points, polygons, etc. on top of maps and satellite imagery with drag-down menus, these visualizations can be pretty disappointing. This article details some new methods for the visualization of spatial data in R using the layered grammar of graphics implementation of ggplot2 in conjunction with the contextual information of static maps from Google Maps, OpenStreetMap, Stamen Maps or CloudMade Maps (Wickham, 2009, 2010). The result is an easy to use R package named ggmap. After describing the nuts and bolts of ggmap, we showcase some of its capabilities in a simple case study concerning violent crimes in downtown Houston, Texas and present an overview of a few utility functions. Plotting spatial data in R Areal data is data which corresponds to geographical extents with polygonal boundaries. A typical example is the number of residents per zip code. Considering only the boundaries of the areal units, we are used to seeing areal plots in R which resemble those in Figure 1 (left). -96.0 -95.5 -95.0 -94.5 29 .0 29 .5 30 .0 30 .5 longitude la tit ud e -96.0 -95.5 -95.0 -94.5 29 .0 29 .5 30 .0 30 .5 longitude la tit ud e Figure 1: A typical R areal plot – zip codes in the Greater Houston area (left), and a typical R spatial scatterplot – murders in Houston from January 2010 to August 2010 (right). While these kinds of plots are useful, they are not as informative as we would like in many situations. For instance, when plotting zip codes it is helpful to also see major roads and other landmarks which form the boundaries of areal units. The situation for point referenced spatial data is often much worse. Since we can’t easily contextualize a scatterplot of points without any background information at all, it is common to add points as The R Journal Vol. 5/1, June ISSN 2073-4859 CONTRIBUTED RESEARCH ARTICLES 145 an overlay of some areal data—whatever areal data is available. The resulting plot looks like Figure 1 (right). In most cases the plot is understandable to the researcher who has worked on the problem for some time but is of hardly any use to his audience, who must work to associate the data of interest with their location. Moreover, it leaves out many practical details—are most of the events to the east or west of landmark x? Are they clustered around more well-to-do parts of town, or do they tend to occur in disadvantaged areas? Questions like these can’t really be answered using these kinds of graphics because we don’t think in terms of small scale areal boundaries (e.g. zip codes or census tracts). With a little effort better plots can be made, and tools such as maps, maptools, sp, or RgoogleMaps make the process much easier; in fact, RgoogleMaps was the inspiration for ggmap (Becker et al., 2013; Bivand and Lewin-Koh, 2013). Moreover, there has recently been a deluge of interest in the subject of mapmaking in R—Ian Fellows’ excellent interactive GUI-driven DeducerSpatial package based on Bing Maps comes to mind (Fellows et al., 2013). ggmap takes another step in this direction by situating the contextual information of various kinds of static maps in the ggplot2 plotting framework. The result is an easy, consistent way of specifying plots which are readily interpretable by both expert and audience and safeguarded from graphical inconsistencies by the layered grammar of graphics framework. The result is a spatial plot resembling Figure 2. Note that map images and information in this work may appear slightly different due to map provider changes over time. murder

Dallas T., Gehman A.M., Aguirre A.A., Budischak S.A., Drake J.M., Farrell M.J., Ghai R., Huang S., Morales‐Castilla I.

Aim We examined body size scaling relationships for two developmental life stages of parasitic helminths (egg and adult) separately in relationship to latitude (i.e. Bergmann's rule), temperature and temperature seasonality. Given that helminth eggs experience environmental conditions more directly, whereas adults live inside infected host individuals, we predict stronger environmentally driven gradients of body size for eggs than for adults. Location Global. Time period Present day. Major taxa studied Parasitic helminths. Methods We compiled egg size and adult body size data (both minimum and maximum) for 265 parasitic helminth species from the literature, along with species latitudinal distribution information using an extensive global helminth occurrence database. We then examined how the average helminth egg and adult body size of all helminth species present (minimum and maximum separately) scaled with latitude, temperature and temperature variability, using generalized linear models. Results Both the egg size and the adult body size of helminths tended to decrease towards higher latitudes, although we found the opposite body size scaling pattern for their host species. Helminth sizes were also positively correlated with temperature and negatively, but more weakly, with temperature seasonality. Main conclusions Instead of following the body size patterns of their hosts, helminth parasites are more similar to other ectotherms in that they follow the converse Bergmann's rule. This pattern did not differ between helminth developmental stages, suggesting that mean annual temperature and seasonality are unlikely to be related mechanistically to body size variation in this case.

Bogitsh B.J., Carter C.E., Oeltmann T.N.

Perri A., Widga C., Lawler D., Martin T., Loebel T., Farnsworth K., Kohn L., Buenger B.

The domestication of dogs likely occurred in Eurasia by 16,000 years ago, and the initial peopling of the Americas potentially happened around the same time. Dogs were long thought to have accompanied the first migrations into the Americas, but conclusive evidence for Paleoindian dogs is lacking. In this study, the direct dating of two dogs from the Koster site (Greene County, Illinois) and a newly described dog from the Stilwell II site (Pike County, Illinois) to between 10,190 and 9,630 cal BP represents the earliest confirmed evidence of domestic dogs in the Americas and individual dog burials anywhere in the world. Analysis of these animals shows Early Archaic dogs were medium sized, lived active lifestyles, and exhibited significant morphological variation. Stable isotope analyses suggest diets dominated by terrestrial C3resources and substantial consumption of riverine fish.

Walker J.W., Han B.A., Ott I.M., Drake J.M.

Effective public health research and preparedness requires an accurate understanding of which virus species possess or are at risk of developing human transmissibility. Unfortunately, our ability to identify these viruses is limited by gaps in disease surveillance and an incomplete understanding of the process of viral adaptation. By fitting boosted regression trees to data on 224 human viruses and their associated traits, we developed a model that predicts the human transmission ability of zoonotic viruses with over 84% accuracy. This model identifies several viruses that may have an undocumented capacity for transmission between humans. Viral traits that predicted human transmissibility included infection of nonhuman primates, the absence of a lipid envelope, and detection in the human nervous system and respiratory tract. This predictive model can be used to prioritize high-risk viruses for future research and surveillance, and could inform an integrated early warning system for emerging infectious diseases.

Babayan S.A., Orton R.J., Streicker D.G.

Predicting hosts and vectors During outbreaks of mysterious infections, events can rapidly become dangerous and confusing. A combination of increasing experience with outbreaks and genome-sequencing technology now means the pathogen can often be identified within days. But for some of the most frightening viral pathogens, the originating hosts and possible vectors often remain obscure. Babayan et al. took sequence data from more than 500 single-stranded RNA viruses (see the Perspective by Woolhouse) and used machine-learning algorithms to extract evolutionary signals imprinted in the virus sequence that offer information about its original hosts and if an arthropod vector, and what type, plays a part in the virus's natural ecology. Science , this issue p. 577 ; see also p. 524

Squire S.A., Yang R., Robertson I., Ayi I., Squire D.S., Ryan U.

To identify the gastrointestinal helminths of veterinary, zoonotic and public health importance in farmers and their ruminant livestock in Ghana, faecal samples were collected from 95 farmers and their livestock (cattle = 328, sheep = 285 and goats = 217) and examined by microscopy and/or molecular techniques. Overall, 21 farmers tested positive for at least one gastrointestinal helminth, 80.9% of which were single infections and 19.0% co-infections. The parasites identified in the farmers consisted of hookworms (n = 13) (9 were Necator americanus and the other 4 could not be amplified by PCR), Trichostrongylus spp. (n = 9), Schistosoma mansoni (n = 1), Schistosoma haematobium (n = 1) and Diphyllobothrium latum (n = 1). In livestock, strongylid nematodes were dominant (56.6%), followed by Paramphistomum spp. (16.9%), Dicrocoelium spp. (7.1%), Thysaniezia spp. (5.8%), Trichuris spp. (3.3%), Moniezia spp. (3.1%), Fasciola spp. (2.8%), Toxocara spp. (1.1%) and Schistosoma spp. (0.2%). Genotyping of Trichostrongylus spp. in the farmer’s stools identified six T. colubriformis similar to T. colubriformis detected in cattle, sheep and goats in the study, two Trichostrongylus spp. with 98.3% and 99.2% genetic similarity to T. probolurus respectively and one Trichostrongylus spp. which showed 96.6% similarity to both T. probolurus and T. rugatus. Trichostrongylus axei was also identified in cattle, sheep and goats. This is the first molecular characterisation of Trichostrongylus spp. in Ghana and the species identified in the present study suggests zoonotic transmission from cattle, sheep and goats. Further studies involving larger numbers of farmers and their household members are essential to understand the transmission dynamics and impact of these parasites on farming communities in Ghana.

Blum A.J., Hotez P.J.

Greenspan E., Nielsen C.K., Cassel K.W.

Large-scale distribution models are effective predictors of habitat suitability and connectivity across broad landscapes and are useful management tools, though few large-scale species distribution models exist for medium-sized predators in urban landscapes. We modeled the potential distribution of 4 medium-sized predators in a 17,361-km2 portion of the Chicago Metropolitan Area. We applied a maximum entropy algorithm model (MaxEnt) using presence-only data collected via remote cameras from 54 Lake County, Illinois, forest preserves during August–October 2008–2012. Environmental data layers used to model distributions were distances to forest, grassland, barren land, crops, wetlands, developed open space, developed low intensity, developed high intensity, water, primary roads, secondary roads, and tertiary roads. Coyotes (Canis latrans) had the greatest area of potential distribution followed by opossums (Didelphis virginiana), striped skunks (Mephitis mephitis), and raccoons (Procyon lotor). Models for all species had high AUC values (0.90–0.94) indicating strong predictive performance. More than 50% of the study area was predicted to be within the distributional limit for each focal species. Distance to forest was the most important contributory predictor for all species modeled (82% - 96%) and higher probability of presence for all 4 species was indicated closer to forest and further from tertiary roads. However, coyotes and raccoons were predicted to prefer habitat closer to highly-developed areas. Our research indicates medium-sized predators are highly synanthropic and able to persist within the Chicago Metropolitan Area given adequate availability of non-urban land cover, particularly forest, and ample green space linking forest patches within highly-developed areas.

Wells K., Gibson D.I., Clark N.J., Ribas A., Morand S., McCallum H.I.

Changes in species distributions open novel parasite transmission routes at the human-wildlife interface, yet the strength of biotic and biogeographical factors that prevent or facilitate parasite host shifting are not well understood. We investigated global patterns of helminth parasite (Nematoda, Cestoda, Trematoda) sharing between mammalian wildlife species and domestic mammal hosts (including humans) using >24,000 unique country-level records of host-parasite associations. We used hierarchical modelling and species trait data to determine possible drivers of the level of parasite sharing between wildlife species and either humans or domestic animal hosts. We found the diet of wildlife species to be a strong predictor of levels of helminth parasite sharing with humans and domestic animals, followed by a moderate effect of zoogeographical region and minor effects of species' habitat and climatic niches. Combining model predictions with the distribution and ecological profile data of wildlife species, we projected global risk maps that uncovered strikingly similar patterns of wildlife parasite sharing across geographical areas for the different domestic host species (including humans). These similarities are largely explained by the fact that widespread parasites are commonly recorded infecting several domestic species. If the dietary profile and position in the trophic chain of a wildlife species largely drives its level of helminth parasite sharing with humans/domestic animals, future range shifts of host species that result in novel trophic interactions may likely increase parasite host shifting and have important ramifications for human and animal health.

Evsyukov A.P., Potapenko I.O.

Introduction. The thorny-headed worms (Acanthocephala) are a small group of helminths, currently classified as a phylum. Adult helminths live in the intestines of various vertebrates. Eggs are excreted into the environment with feces, and in this way infest the arthropods, who are the intermediate hosts. The life cycles of some acanthocephala species can get complicated due to inclusion of the facultative, transport, paratenic or postcyclic hosts. Сhiropterans can be the definitive, intermediate or paratenic hosts for the various groups of parasitic worms, therefore they are an important link in the epizootic chains of spreading the invasive diseases. The aim of the articles of this series is to study the species composition of helminths parasitizing in bats of the Rostov Region. In the fourth paper of this series, we present data on thorny-headed worms and sum-up the previously published information.Materials and Methods. The research materials were the articles from the open access databases: PubMed (pubmed.ncbi.nlm.nih.gov), CyberLeninka (cyberleninka.ru), Google Scholar (scholar.google.com), BHL (www.biodiversitylibrary.org), JSTOR (www.jstor.org), etc. Some data were provided by the colleagues. Results. The list comprising three species of thorny-headed worms that can parasitize in bats in Rostov region was compiled. While analysing the literature sources, one more Nematoda species, not mentioned by us previously, was added to the list of nematodes.Discussion and Conclusion. The results of the review revealed that 15 bat species living in the Rostov region can be parasitized by 3 or 4 Acanthocephala species of 3 genera, 2 families and 2 orders. In total, 104 helminth species of three phyla can parasitize in chiropterans in the Rostov region: Nematoda, Platyhelminthes and Acanthocephala. Whereas, the largest number of parasites falls on the class Trematoda – 42 species. The largest number of helminth species was recorded in the serotine bat (54 species) and the common noctule (50 species). The least amount (4 species) – in the soprano pipistrelle. Our data show that the helminth fauna of bats in the Rostov region, Russia and in the world as a whole is still poorly studied. At the same time, some of the parasitic worm species distinguished in our research have the veterinary and medical significance, moreover, bats participate in the epizootic chains as the facultative hosts.

DeWitt M.E., Sanders J.W.

Gonçalves A.A., Ribeiro A.J., Resende C.A., Couto C.A., Gandra I.B., dos Santos Barcelos I.C., da Silva J.O., Machado J.M., Silva K.A., Silva L.S., dos Santos M., da Silva Lopes L., de Faria M.T., Pereira S.P., Xavier S.R., et. al.

AbstractRecombinant multiepitope proteins (RMPs) are a promising alternative for application in diagnostic tests and, given their wide application in the most diverse diseases, this review article aims to survey the use of these antigens for diagnosis, as well as discuss the main points surrounding these antigens. RMPs usually consisting of linear, immunodominant, and phylogenetically conserved epitopes, has been applied in the experimental diagnosis of various human and animal diseases, such as leishmaniasis, brucellosis, cysticercosis, Chagas disease, hepatitis, leptospirosis, leprosy, filariasis, schistosomiasis, dengue, and COVID-19. The synthetic genes for these epitopes are joined to code a single RMP, either with spacers or fused, with different biochemical properties. The epitopes’ high density within the RMPs contributes to a high degree of sensitivity and specificity. The RMPs can also sidestep the need for multiple peptide synthesis or multiple recombinant proteins, reducing costs and enhancing the standardization conditions for immunoassays. Methods such as bioinformatics and circular dichroism have been widely applied in the development of new RMPs, helping to guide their construction and better understand their structure. Several RMPs have been expressed, mainly using the Escherichia coli expression system, highlighting the importance of these cells in the biotechnological field. In fact, technological advances in this area, offering a wide range of different strains to be used, make these cells the most widely used expression platform. RMPs have been experimentally used to diagnose a broad range of illnesses in the laboratory, suggesting they could also be useful for accurate diagnoses commercially. On this point, the RMP method offers a tempting substitute for the production of promising antigens used to assemble commercial diagnostic kits.

Jovanovic N.M., Bisenic O., Nenadovic K., Bogunovic D., Rajkovic M., Maletic M., Mirilovic M., Ilic T.

Dogs are the most popular pets worldwide. Close contact between dogs and people increases the risk of transmission of various zoonotic parasitic infections. Given the importance of veterinary medicine in preserving the One Health concept, the aim of this research was to identify intestinal parasites that may have zoonotic potential and to evaluate risk factors (individual and environmental). The research was conducted in Serbia in 2022 and 2023 on 382 owned dogs, using qualitative methods of coprological examination with a concentration on parasitic elements. The overall prevalence of intestinal parasites was 62.6%, with the following detected: protozoa: Cystoisospora spp. (9.2%), Sarcocystis spp. (4.5%), Neospora caninum/Hammondia spp. (3.7%), Giardia intestinalis (11.8%); nematoda: Toxocara canis (11.5%), Toxascaris leonina (4.2%), family Ancylostomatidae (38.0%), Trichuris vulpis (21.5%), Capillaria spp. (10.5%); trematoda: Alaria alata (1.6%) and cestodes from the Taeniidae family (1.3%). Factors like age, size and coat length, as well as the way of living, attitude and diet were linked to a significantly higher (p < 0.05) prevalence of intestinal parasites. Based on the results of coprological diagnostics, this research indicates the importance of educating dog owners, conducting routine parasitological tests on their pets and regular deworming strategies.

Leung T.L.

Abstract Purpose of Review Zoonotic infections are a major public health issue, but reptiles are generally overlooked as sources of zoonoses compared with other classes of vertebrate animals. This paper provides an overview of the biology and ecologies of zoonotic parasites, including helminths, arthropods and protozoans from reptiles. Recent Findings Reptile zoonoses include parasites from a wide range of taxa, and a variety of different infection routes. In particular, Australia’s diverse reptile fauna may be harbouring a range of parasites with varying degrees of zoonotic potential, but the basic biology and ecology of many of those parasites are poorly known. Summary While some reptile parasites are foodborne zoonoses, many others may be acquired from exposure to infective stages which have been shed into the environment, especially among captive reptiles. Within Australia, consumption of reptile meat is rare in comparison to other parts of the world, but the increasing popularity of reptiles as pets means that captive pets and the reptile trade may become a key source of emerging zoonoses in the future.

Nagi K., Roy B., Yadav A.K.

Fonti N., Parisi F., Mancianti F., Freer G., Poli A.

AbstractParasite infection is one of the many environmental factors that can significantly contribute to carcinogenesis and is already known to be associated with a variety of malignancies in both human and veterinary medicine. However, the actual number of cancerogenic parasites and their relationship to tumor development is far from being fully understood, especially in veterinary medicine. Thus, the aim of this review is to investigate parasite-related cancers in domestic and wild animals and their burden in veterinary oncology. Spontaneous neoplasia with ascertained or putative parasite etiology in domestic and wild animals will be reviewed, and the multifarious mechanisms of protozoan and metazoan cancer induction will be discussed.

Power K., Martano M., Piscopo N., Viola P., Altamura G., Veneziano V., Carvajal Urueña A., Esposito L.

Recent reports of Eucoleus garfiai in wild boars in southern Italy have highlighted the need for collecting epidemiological data on the presence of this parasite and understanding the role of possible interactions between wild boars, E. garfiai, and the environment. This study analyses, using histopathological and biomolecular techniques, the presence of E. garfiai in tongue samples of wild boars hunted in four provinces of the Campania and Latium regions (Italy), in areas located above and below 900 m above sea level (asl). Histopathological examinations revealed the presence of adults and eggs of nematodes, which were subsequently identified as E. garfiai by biomolecular analysis, in the tongue epithelium. The detection of the parasite was more frequent in samples collected from hunting areas located above 900 m asl than in those collected from areas located below 900 m asl (66.67% vs. 38.09%; p < 0.01). Some species of earthworms are intermediate hosts of E. garfiai and it is well known that earthworms are more present in high quality soils. Therefore, we can suggest that the higher prevalence of E. garfiai at higher altitudes is probably linked to a greater presence of earthworms in the soil, due to its higher quality in these areas.

Thompson R.C.

Abstract Helminth zoonoses remain a global problem to public health and the economy of many countries. Polymerase chain reaction-based techniques and sequencing have resolved many taxonomic issues and are now essential to understanding the epidemiology of helminth zoonotic infections and the ecology of the causative agents. This is clearly demonstrated from research on Echinococcus (echinococcosis) and Trichinella (trichinosis). Unfortunately, a variety of anthropogenic factors are worsening the problems caused by helminth zoonoses. These include cultural factors, urbanization and climate change. Wildlife plays an increasingly important role in the maintenance of many helminth zoonoses making surveillance and control increasingly difficult. The emergence or re-emergence of helminth zoonoses such as Ancylostoma ceylanicum, Toxocara, Dracunculus and Thelazia exacerbate an already discouraging scenario compounding the control of a group of long neglected diseases.

De Guia J.R., Flores M.C., Sumalapao D.P., Maghirang E.S., Belizario Jr. V.

Hopkins S.R., Jones I.J., Buck J.C., LeBoa C., Kwong L.H., Jacobsen K., Rickards C., Lund A.J., Nova N., MacDonald A.J., Lambert-Peck M., De Leo G.A., Sokolow S.H.

Humans live in complex socio-ecological systems where we interact with parasites and pathogens that spend time in abiotic and biotic environmental reservoirs (e.g., water, air, soil, other vertebrate hosts, vectors, intermediate hosts). Through a synthesis of published literature, we reviewed the life cycles and environmental persistence of 150 parasites and pathogens tracked by the World Health Organization's Global Burden of Disease study. We used those data to derive the time spent in each component of a pathogen's life cycle, including total time spent in humans versus all environmental stages. We found that nearly all infectious organisms were “environmentally mediated” to some degree, meaning that they spend time in reservoirs and can be transmitted from those reservoirs to human hosts. Correspondingly, many infectious diseases were primarily controlled through environmental interventions (e.g., vector control, water sanitation), whereas few (14%) were primarily controlled by integrated methods (i.e., combining medical and environmental interventions). Data on critical life history attributes for most of the 150 parasites and pathogens were difficult to find and often uncertain, potentially hampering efforts to predict disease dynamics and model interactions between life cycle time scales and infection control strategies. We hope that this synthetic review and associated database serve as a resource for understanding both common patterns among parasites and pathogens and important variability and uncertainty regarding particular infectious diseases. These insights can be used to improve systems-based approaches for controlling environmentally mediated diseases of humans in an era where the environment is rapidly changing.

Evans M.V., Drake J.M.

Many livestock diseases rely on wildlife for the transmission or maintenance of the pathogen, and the wildlife–livestock interface represents a potential site of disease emergence for novel pathogens in livestock. Predicting which pathogen species are most likely to emerge in the future is an important challenge for infectious disease surveillance and intelligence. We used a machine learning approach to conduct a data-driven horizon scan of bacterial associations at the wildlife–livestock interface for cows, sheep, and pigs. Our model identified and ranked from 76 to 189 potential novel bacterial species that might associate with each livestock species. Wildlife reservoirs of known and novel bacteria were shared among all three species, suggesting that targeting surveillance and/or control efforts towards these reservoirs could contribute disproportionately to reducing spillover risk to livestock. By predicting pathogen-host associations at the wildlife–livestock interface, we demonstrate one way to plan for and prevent disease emergence in livestock.

Chalkowski K., Lepczyk C.A., Wilson A.E., Valenta K., Sipley B., Brownlee J., Morgan A.M., Santos S.R., Willoughby J.R., Zohdy S.

AbstractDespite the critical role parasites play in ecosystem functioning and their considerable influence on human society, little is known about their variations in abundance on a global scale. This gap in knowledge is amplified by a lack of holistic understanding on how the abundance of parasites of wildlife and humans varies across environmental and socioeconomic gradients, despite a need to integrate study of parasites across social and environmental spheres. Free-roaming companion animals (e.g., domestic cats (Felis catus) and dogs (Canis lupus familiaris)) share pathogens and have frequent contact with humans and wildlife. Thus, they are an effective model to understand how parasite and pathogen prevalence of humans and wildlife varies across environmental and socioeconomic gradients. Through a global systematic review and analysis of socioeconomic and environmental variables, including per capita GDP, income disparity, sanitation, biodiversity, island habitation, and latitude, we find that sanitation and island habitation best explained free-roaming companion animal parasite and pathogen prevalence. Sanitation was significantly associated with parasite and pathogen prevalence in free-roaming companion animals, such that for every 10% increase in the proportion of the human population with improved sanitation access, parasite and pathogen prevalence in free-roaming companion animals decreased by 12% (5-19%, 95% C.L.; p = 0.0023). Since companion animals share many parasites with humans and wildlife, these results suggest that actionable interventions to improve sanitation access could reduce parasite and pathogen exposure risks from companion animals to humans and wildlife.Significance StatementIn addition to playing a critical role in ecosystem functioning, parasites also influence human health, behavior, and society. Further, parasites are also impacted by human activities, as much as by ecological phenomena in natural environments. Despite these dualities, little is known about their variations in abundance on a global scale across environmental and socioeconomic gradients. Using free-roaming companion animals (e.g., domestic cats (Felis catus) and dogs (Canis lupus familiaris)) as a model system, we find that access to safely managed sanitation services is strongly associated with parasite and pathogen prevalence. This finding underscores improvements to sanitation as an actionable One Health intervention that could reduce parasite and pathogen exposure risks from companion animals to humans and wildlife.

Huang S., Farrell M., Stephens P.R.

Poulin R.

Functional biogeography, or the study of trait-based distributional patterns, not only complements our understanding of spatial patterns in biodiversity, but also sheds light on the underlying processes generating them. In parallel with the well-studied latitudinal diversity gradient, decades-old ecogeographical rules also postulate latitudinal variation in species traits. Notably, species in the tropics are predicted to have smaller body sizes (Bergmann's rule), narrower niches (MacArthur's rule) and smaller geographical ranges (Rapoport's rule) than their counterparts at higher latitudes. Although originally proposed for free-living organisms, these rules have been extended to parasitic organisms as well. In this review, I discuss the mechanistic hypotheses most likely to explain latitudinal gradients in parasite traits, and assess the empirical evidence obtained from comparative studies testing the above three rules as well as latitudinal gradients in other parasite traits. Overall, there is only weak empirical support for latitudinal gradients in any parasite trait, with little consistency among comparative analyses. The most parsimonious explanation for the existence of geographical patterns in parasite traits is that they are primarily host-driven, i.e. ecological traits of parasites track those of their hosts, with a direct influence of bioclimatic factors playing a secondary role. Thus, geographical patterns in parasite traits probably emerge as epiphenomena of parallel patterns in their hosts. This article is part of the theme issue ‘Infectious disease macroecology: parasite diversity and dynamics across the globe’.