African swine fever (ASF) is a transcontinental, contagious, fatal virus disease of pig with devastating socioeconomic impacts. Interaction between infected wild boar and domestic pig may spread the virus. The disease is spreading fast from the west of Eurasia towards ASF‐free China. Consequently, prediction of the distribution of ASF along the Sino‐Russian‐Korean borders is urgent. Our area of interest is Northeast China. The reported ASF‐locations in eleven contiguous countries from the Baltic to the Russian Federation were extracted from the archive of the World Organization for Animal Health from July 19, 2007 to March 27, 2017. The locational records of the wild boar were obtained from literature. The environmental predictor variables were downloaded from the WorldClim website. Spatial rarefication and pair‐wise geographic distance comparison were applied to minimize spatial autocorrelation of presence points. Principal component analysis (PCA) was used to minimize multi‐collinearity among predictor variables. We selected the maximum entropy algorithm for spatial modelling of ASF and wild boar separately, combined the wild boar prediction with the domestic pig census in a single map of suids and overlaid the ASF with the suids map. The accuracy of the models was assessed by the AUC. PCA delivered five components accounting for 95.7% of the variance. Spatial autocorrelation was shown to be insignificant for both ASF and wild boar records. The spatial models showed high mean AUC (0.92 and 0.97) combined with low standard deviations (0.003 and 0.006) for ASF and wild boar respectively. The overlay of the ASF and suids maps suggest that a relatively short sector of the Sino‐Russian border has been a high probability entry point of ASF at current conditions. Two sectors of the Sino‐Korean border present an elevated risk.

Although the Trans-Himalayan region (THR) is an important endemic and rendezvous area of peste des petits ruminants (PPR), monitoring and prevention measurements are difficult to execute because of the rough geographical conditions. Besides, a heterogeneous breeding system and the poor veterinary service of susceptible animals compound the existing problems. Here, we propose a forecasting system to define the key points of PPR prevention and aid the countries in saving time, labor, and products to achieve the goal of the global eradication project of PPR. The spatial distribution of PPR was predicted in the THR for the first time using a niche model that was constructed with a combination of eco-geographical, anthropoid, meteorological, and host variables. The transboundary least-cost paths (LCPs) of small ruminants in the THR were also calculated. Our results reveal that the low-elevation area of the THR had a higher PPR risk and was mainly dominated by human variables. The high-elevation area had lower risk and was mainly dominated by natural variables. Eight LCPs representing corridors among India, Nepal, Bhutan, Bangladesh, and China were obtained. This confirmed the potential risk of transboundary communication by relying on PPR contamination on the grasslands for the first time. The predicted potential risk communication between the two livestock systems and landscapes (high and low elevation) might play a role in driving PPR transboundary transmission.

Small ruminants are important hosts for various tick species and tick-associated organisms, many of which are zoonotic. The aim of the present study was to determine the presence of tick-borne protozoans and bacteria of public health and veterinary significance in goats and wild Siberian roe deer (Capreolus pygargus) from Heilongjiang Province, northeastern China. The occurrence of piroplasms, Anaplasma phagocytophilum, A. bovis, A. marginale, A. capra, A. ovis, Ehrlichia spp. and spotted fever group rickettsiae was molecularly investigated and analyzed in 134 goats and 9 free ranging C. pygargus living in close proximity. Piroplasm DNA was detected in 16 (11.9%) goats and 5 C. pygargus. Sequence analysis of 18S rRNA sequences identified 3 Theileria species (T. luwenshuni, T. capreoli and T. cervi). Four Anaplasma species (A. ovis, A. phagocytophilum, A. bovis and A. capra) were identified in goats and C. pygargus. Anaplasma ovis and A. bovis were detected in 11 (8.2%) and 6 (4.5%) goats, respectively; A. phagocytophilum, A. bovis and A. capra were found in 3, 7 and 3 C. pygargus, respectively. Sequence analysis of 16S rRNA sequences revealed the presence of 5 different genetic variants of A. bovis in goats and C. pygargus, while the analysis of 16S rRNA and gltA sequence data showed that A. capra isolates identified from C. pygargus were closely related to the genotype identified from sheep and Haemaphysalis qinghaiensis, but differed with the genotype from humans. Anaplasma/Theileria mixed infection was observed in 2 (1.5%) goats and 5 C. pygargus, and co-existence involving potential zoonotic organisms (A. phagocytophilum and A. capra) was found in 2 C. pygargus. All samples were negative for A. marginale, Ehrlichia spp. and SFG rickettsiae. These findings report the tick-borne pathogens in goats and C. pygargus, and a greater diversity of these pathogens were observed in wild animals. Three Theileria (T. luwenshuni, T. capreoli and T. cervi) and four Anaplasma species (A. ovis, A. phagocytophilum, A. bovis and A. capra) with veterinary and medical significance were identified in small domestic and wild ruminants. The contact between wild and domestic animals may increase the potential risk of spread and transmission of tick-borne diseases.