Long‐term successful treatment of a donkey with cutaneous lupus erythematous with methotrexate

Cutaneous lupus erythematosus (CLE) is a rare immune‐mediated dermatitis. To the best of the authors’ knowledge it has not been described in donkeys. A 5‐year‐old male neutered donkey, living in south‐east France, was diagnosed with CLE. Clinical signs included generalized symmetrical areas of alopecia, erythema, crusting and scales. Diagnostic tests included examination of skin biopsy samples by histopathological and immunohistochemical analysis which demonstrated an interface dermatitis with CD8+ T cells. The skin condition was successfully treated initially with glucocorticoids and methotrexate; successful long‐term maintenance was associated with administration of methotrexate.     

Investigation of parrot papillomavirus in cloacal and oral papillomas of psittacine birds

Cloacal and oral papillomas from 27 psittacine birds of various species were examined for the presence of parrot papillomavirus by DNA in situ hybridization, DNA in situ polymerase chain reaction, and nested polymerase chain reaction. Parrot papillomavirus was detected in one oral papilloma from an African grey parrot by all three techniques. In addition, rare basophilic intranuclear inclusions were observed by light microscopy in tissue sections of the oral papilloma from this parrot. The remaining lesions were negative for parrot papillomavirus DNA. This study suggests that parrot papillomavirus may be involved in the development of papillomas in African grey parrots, but apparently is not responsible for development of similar lesions in unrelated species of psittacine birds.     

Fuzzy k-means classification of topo-climatic data as an aid to forest mapping in the Greater Yellowstone Area, USA

Previous attempts to quantify topographic controls on vegetation have often been frustrated by issues concerning the number of variables of interest and the tendency of classification methods to create discrete classes though species have overlapping property sets (niches). Methods of fuzzy k-means classification have been used to address class overlap in ecological and geographical data but previously their usefulness has been limited when data sets are large or include artefacts that may occur through the derivation of topo-climatic attributes from gridded digital elevation models. This paper presents ways to overcome these limitations using GIS, spatial sampling methods, fuzzy k-means classification, and statistical modelling of the derived stream topology. Using data from a ca. 3600 km² forested site in the Greater Yellowstone Area, we demonstrate the creation of meaningful, spatially coherent topo-climatic classes through a fuzzy k-means classification of topo-climatic data derived from 100 m gridded digital elevation models (DEMs); these classes were successfully extrapolated to adjacent areas covering a total of ca. 10000 km². Independently derived land cover data and middle infrared corrected Landsat TM derived estimates of Normalised Difference Vegetation Index (M_NDVI) at 575 independently sampled sites were used to evaluate the topo-climatic classes and test their extrapolation to the larger area. Relations between topo-climatic classes and land cover were tested by ² analysis which demonstrated strong associations between topo-climatic class and 11 of the 15 cover classes. Relations between M_NDVI and topo-climatic classes proved to be stronger than relations between M_NDVI and the independent cover classes. We conclude that the fuzzy k-means procedure yields sensible and stable topo-climatic classes that can be used for the rapid mapping of large areas. The value of these methods for quantifying topographic controls on biodiversity and the strength of their relations with computed NDVI values warrant further investigation.     

A survey investigating the current practice of French health professionals regarding infection risk after monkey bites

International tourism is steadily increasing, with 15% of travellers reporting health problems when they come back. Animal bites represent 2% of consulting causes, of which 20% are due to monkey bites. The Monkey B virus (Macacine alphaherpesvirus 1) is an alphaherpesvirus (Herpesviridae, genus Simplexvirus) enzootic in macaques (Genus Macaca). Zoonotic infections with the Monkey B virus following exposure to macaques are exceptionally rare, but can cause fatal encephalomyelitis in humans. An observational survey was undertaken in 2018 to assess the practice of French health professionals regarding infection risk after monkey bites. French health professionals practicing in vaccination and rabies centres were specifically targeted for this study. Standardized questionnaires were sent by email to a sample of French health professionals. They were asked to participate on a voluntary and anonymous basis. The questionnaires requested epidemiological details and included multiple‐choice questions about the infection management of monkey bites. The response rate was 33.5%. The frequency of monkey bites in 2017 was variable with a minority of centres managing more than 6 per year (12%), 46% managing 1–5 monkey bites and 42% none. Most of the monkey bites were described as occurring in South Asia at tourist sites, on naked upper limbs, shortly after the travellers arrived at their destination. Tetanus status verification, rabies post‐exposure prophylaxis and antibiotic therapy were said to be prescribed in most cases. Knowledge about the Monkey B virus was reported as scarce for 38% of the participants. The number of monkey bites managed per year per centre varied greatly but practices regarding infectious risk after monkey bites were generally homogeneous. The risk of Monkey B virus transmission did not readily come to mind in the differential diagnosis of infection risk for many French health professionals.     

Modelling Salmonella spread within a farrow-to-finish pig herd

Delivery of infected pigs to the slaughterhouse is a major source of pork meat contamination by bacterial hazards to humans. We propose a model of Salmonella spread within a farrow-to-finish pig herd, assuming the prevalence in infected delivered pigs depends on the whole pig life-time and growing process. This stochastic discrete-time model represents both the population dynamics in a farrow-to-finish pig herd using batch management, and Salmonella spread. Four mutually exclusive individual health states were considered: Salmonella-free, seronegative shedder, seropositive shedder and seropositive not shedding carrier, making the distinction between seropositive animals and shedders. Since indirect transmission is the main route of transmission, the probability of infection depends on the quantity of Salmonella in the pigs' environment (Q). A dose effect function is used with two thresholds, assuming saturation in exposure for high Q vs. a minimum exposure for low Q. Salmonella is introduced in an initially Salmonella-free 150-sow herd. Prevalence of shedders and seroprevalence are calculated over time in batches of sows and pigs, and in groups of delivered pigs, composed of pigs from different batches. The model shows very variable seroprevalence over time within a herd among delivered groups, as well as among replications. The mean seroprevalence and the mean shedding prevalence are 19.3% and 13.8% respectively. A sensitivity analysis shows that the Salmonella quantity shed and the maternal protective factor are the most influential parameters on Salmonella prevalence in delivered pigs.     

Evolving social capital and networks in the post‐disaster rebuilding process: The case of Typhoon Yolanda

Typhoon Yolanda brought major devastation to the local communities and infrastructure and also reshaped social structures and networks in the Philippines. During the immediate recovery process, bridging, bonding and linking social capital have had differential impacts and outcomes on how communities cope with the aftermath of the disaster. This article investigates the interplay between the various types of social capital and their contributions to immediate coping strategies of Typhoon Yolanda communities. This article also evaluates the complexity of defining social capital in a disaster context. In particular, it unpacks the blurring of the bridging and linking social capital at the immediate stage of rehabilitation in a post‐disaster context and its impacts on the social fabric of the communities. We deduce from this case study the social capital strategies necessary for a speedy recovery process both economically and socially for disaster‐affected communities.     

Cytologic diagnosis of diseases of ferrets.

Cytology is a useful, rapid, inexpensive diagnostic technique that is particularly suitable for ferrets because of their small size and readily accessible organs and tissues. This article begins with a brief discussion of general cytologic information. The remainder of the article concentrates on the cytologic features of common diseases that affect ferrets.