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• Ovine anaplasmosis is a tick borne disease, mainly affecting small ruminants and causes economic losses in Egypt. • The prevalence of Anaplasma ovis was highly significant in elder ewe particularly in animals infested with ticks. • The analysis of A. ovis msp4 sequences revealed two different genotypes classified in the old world sub-cluster with other Egyptian isolates. Anaplasma ovis is the most common etiologic agent of ovine anaplasmosis, mainly transmitted by ticks. The present study aimed to determine the molecular prevalence of A. ovis in sheep from Egypt and assessed the associated risk factors. The study was conducted, between January and December 2020, in four governorates situated in Northern Egypt. Blood samples from 355 asymptomatic sheep were collected and examined by the use of PCR specific to A. ovis. Diversity analysis and phylogenetic study based on partial msp4 gene sequence were performed on revealed A. ovis DNA. Overall, the molecular prevalence rate of A. ovis was 15.5% and the highest rate was observed in Kafr ElSheikh governorate (16.8%). Statistical analysis revealed that A. ovis infection was significantly related to sheep gender and to tick infestation. The risk factors that were found to be associated with A. ovis infection in exposed sheep were: female sex (OR=2.6, 95%CI: 1.13–6.12), and infestation with ticks (OR=2.1, 95%CI: 1.11–3.79). The analysis of A. ovis msp4 sequences revealed two different genotypes classified in the Old World sub-cluster with other Egyptian isolates. Investigation on prevalence, risk factors and genetic variability of A. ovis in sheep reported in this study is important for the implementation of control programs. Further studies are needed to determine the vectors and reservoirs of A. ovis in Egyptian small ruminants and to identify the real economic impact of A. ovis infection on the country. [ABSTRACT FROM AUTHOR]

Johne's disease is a chronic disease with great concern in ruminants and caused by Mycobacterium avium subsp. paratuberculosis (MAP). A cross-sectional study was conducted from February 2019 to January 2020 to estimate the prevalence of MAP infection among camels which are kept in three governorates in Nile Delta of Egypt. A total of 440 serum samples were examined by ELISA for detection of MAP antibodies. The multivariable logistic regression model was performed to determine the associated risk factors for MAP infection in examined camels. Overall, the seroprevalence of MAP infection was found to be 7.5% among examined camels. The multivariable logistic regression model was performed to determine the associated risk factors for MAP infection in examined camels. The main findings revealed that the risk of getting MAP infection increased among elder camels (>10 years old) with signs of diarrhea, having communal water source and in camels grazing in the same pasture (odds ratio >1). However, geographic location, sex and contact with cattle had not significant impact regarding to seroprevalence of MAP infection in camels. The present findings confirm presence of MAP among camels which is a potential risk factor for contamination of environment and spreading of infection. Therefore, further studies for detection of infected animals in early stage are needed beside the estimated risk factors in this study to build an efficient control program. [ABSTRACT FROM AUTHOR]

• Brucellosis remains a threat to the cattle and sheep industry in Egypt. • Detection of B. abortus from unvaccinated cattle and sheep. • PCR is a better alternative to bacteriological methods for diagnosing brucellosis. • Sequencing and phylogenetic analyses showed that two distinct B. abortus strains are circulating among cattle and sheep. • Sex and age are considered as risk factor for brucellosis in cattle and sheep. Brucellosis is one of the most economically significant infectious diseases in Egypt. The study aimed to assess the seroprevalence by indirect ELISA by examining serum samples from 720 cattle and 320 sheep and detection and characterization of Brucella spp. from 24 clinical samples (placenta) by bacterial culture (BC) and PCR targeting bcsp31 gene. The seroprevalence was 16.7% and 16.25% in cattle and sheep, respectively. There was a significant association (P < 0.05) between the seroprevalence of brucellosis and sex at the level of cattle and age at the sheep level, where seroprevalence was 18.7% in female cattle and 22% in sheep > 2 years. Likewise, seroprevalence was significantly (P < 0.05) different among locations for cattle. Of the 24 clinical samples tested by BC, B. abortus was isolated and identified in 100% of clinical samples. Using PCR, all Brucella strains were positive (100%) regarding bcsp31 gene. Nucleotide analyses of seven bcsp31 sequences of the identified strains revealed 99.3–100% identity, with one nucleotide divergence. These results provide an insight into the brucellosis, particularly with the detection of B. abortus from sheep, therefore, further wide epidemiological studies are needed to develop appropriate prevention and control strategies. [ABSTRACT FROM AUTHOR]

The objective of the present study was to evaluate the diagnostic accuracy of the individual fecal culture (IFC), fecal PCR (FPCR), and serum ELISA for the detection of Mycobacterium avium subsp. paratuberculosis (MAP) infections in sheep from four governorates in Egypt, using a latent class model (LCM) fitted within a Bayesian framework. Furthermore, the within-governorate prevalence of MAP infection in sheep was estimated as a secondary objective. Fecal and blood samples were collected from 370 sheep in four Egyptian governorates. Fecal samples were analyzed by IFC and RT-PCR based on ISMav2 gene, while ELISA was performed on serum samples. The sensitivity (Se) and specificity (Sp) of the three diagnostic tests were estimated using a three-tests-four-populations Bayesian LCM to obtain posterior estimates [medians and 95% Bayesian credible intervals (95% BCI)] for each parameter. The median Se estimates (95% BCI) for IFC, FPCR, and serum ELISA were 31.8% (22.8–41.4), 49.7% (31.8–79.9), and 61.2% (39.8–81.4), respectively. The median Sp estimates (95% BCI) for IFC, FPCR, and serum ELISA were 97.7% (96.1–98.9), 97.7% (95.6–99.5), and 98.4% (96.9–99.3), respectively. The median within-governorate paratuberculosis prevalence (95% BCI) was 5.2% (1.1–13.6), 8.4% (2.9–17.7), 9.4% (3.0–20.7), and 18.2% (10.5–29.5) for the Gharbia, Menoufia, Qalyubia, and Kafr El-Sheikh governorates, respectively. In conclusion, at a ratio of the optical density (OD) sample/OD positive control threshold of > 45%, ELISA showed the highest Se among the three tests and comparable Sp to IFC and FPCR. The test ELISA evaluated in this study is an interesting alternative for detecting MAP in sheep due to its higher Se, lower cost, and shorter turnaround laboratory time compared to IFC and FPCR. • Serum ELISA had the highest sensitivity (61.2%) compared to fecal PCR (49.7%) and culture (31.8%) for MAP detection. • Serum ELISA showed comparable specificity (98.4%) to both fecal culture and PCR (97.7%). • Kafr El-Sheikh governorate had the highest median within-governorate paratuberculosis prevalence (18.2%). [ABSTRACT FROM AUTHOR]

Machine learning approaches have been increasingly utilized in the field of medicine. Brucellosis is one of the most common contagious zoonotic diseases with significant impacts on livestock health, reproduction, production, and public health worldwide. Therefore, our objective was to determine the seroprevalence and compare the logistic regression and Classification and Regression Tree (CART) data-mining analysis to assess risk factors associated with Brucella infection in the densest cattle populated Egyptian governorates. A cross-sectional study was conducted on 400 animals (383 cows, 17 bulls) distributed over four Governorates in Egypt's Nile Delta in 2019. The randomly selected animals from studied geographical areas were serologically tested for Brucella using iELISA, and the animals' information was obtained from the farm records or animal owners. Eight supposed risk factors (geographic location, gender, herd size, age, history of abortion, shared equipment, and disinfection post-calving) were evaluated using multiple stepwise logistic regression and CART machine-learning techniques. A total of 84 (21.0%; 95% CI 17.1–25.3) serum samples were serologically positive for Brucella. The highest seroprevalence of Brucella infection was reported among animals raised in herd size > 100 animals (65.5%), with no disinfection post-calving (61.7%), with a history of abortion (59.6%), and with shared equipment without thorough cleaning and disinfection (57.1%). The multiple stepwise logistic regression modeling identified herd size, history of abortion, and disinfection post-calving as important risk factors. However, CART modeling identified herd size, disinfection post-calving, history of abortion, and shared equipment as the most potential risk factors for Brucella infection. Comparing the two models, CART model showed a higher area under the receiver operating characteristic curve (AUROC = 0.98; 95% CI 0.95 – 1.00) than the binary logistic regression (AUROC = 0.89; 95% CI 0.73 – 0.92). Our findings strongly imply that Brucella infection is most likely to spread among animals raised in large herds (>100 animals) with a history of abortions and bad hygienic measures post-calving. The CART data-mining modeling provides an accurate technique to identify risk factors of Brucella infection in cattle. [ABSTRACT FROM AUTHOR]