Lumpy Skin Disease In Cattle Research Articles

Early Detection of Lumpy Skin Disease in Cattle Using Deep Learning-A Comparative Analysis of Pretrained Models.

Lumpy Skin Disease (LSD) poses a significant threat to agricultural economies, particularly in livestock-dependent countries like India, due to its high transmission rate leading to severe morbidity and mortality among cattle. This underscores the urgent need for early and accurate detection to effectively manage and mitigate outbreaks. Leveraging advancements in computer vision and artificial intelligence, our research develops an automated system for LSD detection in cattle using deep learning techniques. We utilized two publicly available datasets comprising images of healthy cattle and those with LSD, including additional images of cattle affected by other diseases to enhance specificity and ensure the model detects LSD specifically rather than general illness signs. Our methodology involved preprocessing the images, applying data augmentation, and balancing the datasets to improve model generalizability. We evaluated over ten pretrained deep learning models-Xception, VGG16, VGG19, ResNet152V2, InceptionV3, MobileNetV2, DenseNet201, NASNetMobile, NASNetLarge, and EfficientNetV2S-using transfer learning. The models were rigorously trained and tested under diverse conditions, with performance assessed using metrics such as accuracy, sensitivity, specificity, precision, F1-score, and AUC-ROC. Notably, VGG16 and MobileNetV2 emerged as the most effective, achieving accuracies of 96.07% and 96.39%, sensitivities of 93.75% and 98.57%, and specificities of 97.14% and 94.59%, respectively. Our study critically highlights the strengths and limitations of each model, demonstrating that while high accuracy is achievable, sensitivity and specificity are crucial for clinical applicability. By meticulously detailing the performance characteristics and including images of cattle with other diseases, we ensured the robustness and reliability of the models. This comprehensive comparative analysis enriches our understanding of deep learning applications in veterinary diagnostics and makes a substantial contribution to the field of automated disease recognition in livestock farming. Our findings suggest that adopting such AI-driven diagnostic tools can enhance the early detection and control of LSD, ultimately benefiting animal health and the agricultural economy.

Design and implementation of an IoT-based monitoring system for early detection of lumpy skin disease in cattle

Livestock farming serves a crucial role in global food security and sustainability, yet infections like Lumpy Skin Disease (LSD) present huge difficulties. LSD reduces the marketability and productivity of cattle, but it is not fatal. Current preventive measures that rely on routine veterinary testing can be time-consuming and miss early signs of infection, requiring a more effective management strategy first works This article presents an IoT-enabled intelligent system to prevent LSD in animals. The system uses a smart wearable sensor device to collect real-time health information including body temperature, heart rate and 3-axis motion data. Advanced analysis of data is considered to identify early diagnosis of potential LSD infection results based on deviations from normal parameters, this data prevents further infection within livestock by supporting immediate isolation. On a cloud-based online platform, and integrated into the mobile application provides a comprehensive experience and timely alerts to provide potential health issues. Furthermore, the IoT features of the system enable farmers and veterinarians to quickly guide and optimize disease control strategies, improving biosecurity protocols and overall livestock health management. This creative approach represents a significant improvement over traditional methods, providing a cost-effective, accurate and real-time solution for animal health monitoring and management.

Prevalence of lumpy skin disease in cattle at Netrokona sadar in Bangladesh

Cattle farming is a significant contributor to the socio-economic development of Bangladesh. However, infectious diseases continuously challenge cattle farming, causing tremendous losses to farmers. Among the diseases, Lumpy Skin Disease (LSD) has become a major burden in recent years. This study was conducted to reveal the prevalence of LSD in cattle in Netrokona Sadar Upazila. Data were collected directly from the cattle farmers at Upazila Veterinary Hospital (UVH), by visiting farms, and retrospectively from the register book of UVH from November 2022 to October 2023. Of the total of 2511 observed cattle, the prevalence of LSD was the second highest (16.97%). We further investigated the prevalence of LSD according to age, sex, breed, season, vaccination status, nutrition, hygiene, and deworming. LSD was more prevalent in young (17.67%), females (18.25%), cross-breed (23.96%), and non-vaccinated (17.28%) cattle. A higher prevalence was also found in the summer (38.77%) than in other seasons. Furthermore, we found more prevalence in cattle provided with traditional diets (18.22%), in unhygienic management (17.33%), and non-dewormed (18.63%) cattle. The findings illustrated that sex, immunization status, season of the year, and diet were significantly (p<0.01) associated with the prevalence of LSD. The study will aid stakeholders in evaluating the current state of LSD in the area and developing effective control strategies against it. Res. Agric. Livest. Fish. Vol. 11, No. 2, August 2024: 137-147

Isolation, Identification and Molecular Characterization of Lumpy Skin Disease Virus for Development of Vaccine

The highly contagious Lumpy skin disease (LSD) virus has been rapidly spreading across South and East Asia, posing a grave threat to cattle populations in the region. LSD initially emerged in Bangladesh during July 2019, starting in the Chattogram district and rapidly spreading across the entire country. To investigate cases of LSD in cattle, a comprehensive study was conducted in various districts of Bangladesh, including Natore, Kurigram, Dinajpur, Dhaka, and Mymensingh. A total of 58 samples comprising blood, skin scraping, buccal swabs, and nasal swabs were collected for analysis. In order to identify LSDV, the DNA was isolated from the processed samples, and a conentional PCR method was employed utilizing the specific primer designed for the 'P-32 Gene' gene. Out of the blood samples tested, only 29.17 percent yielded a positive result for LSDV, whereas a substantial 80 percent of the skin samples tested positive. This suggests that skin scrapings are a viable specimen for LSD diagnosis using PCR. Five positive samples were partially sequenced utilizing the "ANK Gene" for molecular characterization. Bangladeshi isolates have a strong association with LSDV Kenyan (KSGP 0240, NI-2490) strains and Indian isolates (Ranchi, 2019) strains, based on multiple sequence alignment and phylogenetic analysis. Additionally, the sequencing of all the samples from the five research sites were almost identical, suggesting that a single strain is probably spreading throughout the nation. These findings emphasize the need for continuous monitoring of the genetic makeup and molecular epidemiology of LSDV, which will be useful in the future for the development of vaccines specific to the strains that are then in circulation. J. of Sci. and Tech. Res. 5(1): 31-36, 2023

Comparative Evaluation of Different Antivirals against Lumpy Skin Disease in Cattle

India is facing a new wave of Lumpy skin disease outbreaks since May 2022, spreading in more than 22 states and causing morbidity to more than 29 lakh animals and mortality to more than 2 lakh animals. Lack of specific antiviral treatment restores symptomatic therapeutic interventions. However, in the advent of large no. of cases and severity of disease, investigations on specific antiviral drugs are imperative. This scientific study was conducted on a group of LSD-affected cattle (N = 40) from the trans-Himalayan region of Kashmir (Jammu and Kashmir). The affected cattle were subjected to different treatments, including acyclovir (n = 27), symptomatic treatment (n = 7), and ivermectin (n = 6), along with supportive drugs. The animals were carefully monitored and compared both within and between groups at various intervals (0-96 hr) using a two-way analysis of variance (ANOVA). Significant (P ≤ 0.05) improvement in regaining rectal temperature, respiration rate, and heart rate was noted 48 hours after treatment in a group of LSD-affected animals (N = 27) treated with acyclovir at a dose rate of 1 mg/kg body weight (small cattle) to 1.5 mg/kg (large cattle) intravenously in 500 ml normal saline along with supportive drugs including enrofloxacin (2.5 mg/kg), combination of meloxicam (0.25 mg/kg) and paracetamol (7.5 mg/kg) and pheniramine maleate (0.5 mg/kg) all intramuscularly, compared to group of LSD affected cattle (N = 6) treated with ivermectin (0.2 mg/kg subcutaneously) and supportive drugs and another group of LSD affected cattle (N = 7) treated symptomatically with only supportive drugs. Acyclovir treated group showed a significant (P ≤ 0.05) decrease in total leucocyte count, lymphocyte, and basophil count from 0 hour to 96 hour of treatment (23.00 ± 0.534 to 5.59 ± 0.208; 13.97 ± 0.310 to 3.43 ± 0.126; 0.11 ± 0.003 to 0.03 ± 0.001 respectively). Significant (P ≤ 0.05) decrease in total oxidative status (TOS: 73.31%) and increase in total antioxidant status (TAS: 59.9%) was observed in acyclovir treated group followed by ivermectin treated group (TOS: 68.05% and TAS: 27.16%) compared to symptomatically treated group (TOS: 42.41% and TAS: 18.75%). Acyclovir being comparatively more specific antiviral agent than ivermectin may have helped in amelioration of clinical severity and regaining of normal physiological, hematological, and oxidative indices in LSD-affected animals. The current study demonstrates expedited recovery, diminished clinical severity, and re-establishment of physiological, hematological and oxidative markers in animals subjected to acyclovir treatment, followed by animals administered with ivermectin, when compared to animals receiving symptomatic treatment. However, further studies are required to investigate safety or adverse effects, if any.

Identification of Lumpy Skin Disease in Cattle with Image Classification using the Convolutional Neural Network Method

Identification of Lumpy Skin Disease in Cattle with Image Classification using the Convolutional Neural Network Method

Space–Time Clustering and Climatic Risk Factors for Lumpy Skin Disease of Cattle in Uttar Pradesh, India, 2022

Lumpy skin disease (LSD), a transboundary infectious disease, negatively impacts cattle health and production. The first LSD outbreaks were reported in India in 2019, and since then, LSD spread to over 15 states, including Uttar Pradesh. This study evaluated LSD cases reported by veterinarians in Uttar Pradesh, India, during 2022. Using scan statistics, Poisson models that accounted for the background cattle population were constructed to identify spatial, temporal, and space–time clusters. A negative binomial regression model was built to assess the impact of temperature and humidity on the incidence rate (IR) of LSD. A total of 112,226 cases across 33 districts were reported in 2022. A purely temporal cluster with higher-than-expected LSD rates was identified between August and October 2022. Several purely spatial clusters were identified in the western part of the state. A primary space–time cluster was detected in west Utter Pradesh between August and October 2022 that overlapped with the spatial clusters. The secondary cluster occurred between September and October 2022 in the eastern part of the state. A rise in humidity (incidence rate ratio (IRR) = 1.39; 95% CI: 1.30–1.49) and temperature (IRR = 1.16; 95% CI: 1.06–1.27) increased the IR of LSD, suggesting a seasonality of the outbreaks. The results of this study can aid animal health authorities in developing effective LSD prevention, surveillance, and control strategies among cattle in India.

Review on the Economic Impacts of Lumpy Skin Disease of Cattle and its Prevention and Control Strategies in Ethiopia

Lumpy skin disease (LSD) is an infectious disease of cattle, caused by a Lumpy Skin Disease Virus. It is an economically important viral disease of cattle affecting all ages and breeds that can be prevented by vaccination in endemic regions including Ethiopia. LSD is an OIE listed disease because of considerable financial losses and in Ethiopia due to the endemic nature of LSD; the country is facing serious difficulties in exporting live cattle and their products. In addition, this situation contributes a negative impact on the national economic growth through the loss of meat and milk production and poor quality of skin and hides. Serious economic losses can follow outbreaks that have a high morbidity and high mortality rates of 40 percent or more have been encountered. There is no specific antiviral treatment available for LSD-infected cattle. The disease is now the problem of almost all the regions and agro ecological zones of Ethiopia. Major outbreaks of LSD have been occurred in different regions of Ethiopia. Two vaccines, however, Neethling and Kenya sheep and goat pox virus, have been used widely in Africa with success. Preventing movement the diseased animals along with vector control, regular annual vaccinations and awareness creation for cattle owners play great role in disease prevention and control. The disease outbreak was observed in the cattle regardless of previous vaccination with Kenyan sheep- and goat pox vaccine the occurrence of LSD outbreak scale, despite the use of a vaccination regime, is suggestive of vaccine failure. Apparent emerging vaccine failure is a serious problem for efficient control of LSD, as the disease has been manifested by high morbidity and mortality rates, regardless of vaccination status. Consequently continuous surveillance on the status of the disease and genetic information on circulating field viruses is mandatory in order to take effective measures for the control of the disease in the country.

Epidemiological, Clinico-haemato-biochemical and Molecular Characterization of Lumpy Skin Disease in Cattle

Background: Lumpy skin disease (LSD) is responsible for huge economic losses due to reduced milk production, degradation of hide, abortion, temporary or permanent sterility of bulls and cows and death. It is highly contagious in nature. The clinical entity and morbidity pattern of disease vary considerably therefore present study was undertaken. Methods: A total of 308 cattle were screened for LSD for a period of one year (October 2021 to September 2022) in Rajasthan state in India and the animals were subjected to thorough physical and clinical examination. Skin nodular scab samples were collected and processed through polymerase chain reaction (PCR) for molecular characterization. Blood samples were also collected for investigations on haemato-biochemical parameters. Result: Overall prevalence of LSD in cattle was 5.84 per cent. Highest prevalence was observed in cattle above 3 years of age. Higher prevalence of LSD was observed in crossbred cattle and during winter season. Molecular characterization revealed a band size of 192bp in all LSDV positive samples. There was highly significant (P less than 0.01) difference in PCV, Hb, TEC, TLC, total protein, albumen, globulin, ALT, AST, ALKP, BUN and total bilirubin in LSD affected cattle as compared to healthy control whereas reduction in platelet count was significant (P less than 0.05).

FIRST OUTBREAK OF LUMPY SKIN DISEASE IN CATTLE AT DISTRICT KHAIRPUR MIRS-SINDH

The research study was conducted to examine the Lumpy skin disease in Cattle, Bos taurus L. cloven-hooved herbivores. Capripox virus infection is characterized by enlarged lymph nodes, fever, and circumscribed nodules particularly on hairless areas. The age-wise data of male and female (3 to 6) months weaning stage, (15 to 25) months bull/heifer (25 to above) months adults were kept under observation from April to September 2022 in all talukas of district Khairpur, Sindh-Pakistan. The maximum overall mean positive cases of LSD throughout the district level were reported from Kot Diji (73.63), followed by Kingri (66.53), Gambat (51.47), Thari Mirwah (45.65), Faiz Ganj (41.84), Sobho Dero (37.83), Naro (31.97) and Khairpur (29.17), talukas of district Khairpur. The age-wise specific data revealed that, the highest infection of lumpy skin diseases was recorded at the weaning stage in females (85.35) as compared to males (65.78), female heifer (47.67), bull (38.47), adults female (71.24) and male (57.00). The maximum number of cases was reported in females (67.57) and males (53.46), respectively. Both male and female cattle throughout the district of Khairpur were found with vigorous infestation. Generally, the clinical severity of LSD depends on immunological status, susceptibility, age of the host, and route of virus inoculation. Effective control measures against this economically divesting viral disease can be achieved through mass vaccination and separation of infected animals. Furthermore; it is recalling earlier understanding of the epidemiology, economic significance, and immediate control mechanisms of the disease is strongly needed to design suitable control measures.

Epidemiological Characteristics and Phylogenetic Analysis of Lumpy Skin Disease in Cattle in the Mekong Delta of Vietnam

Epidemiological Characteristics and Phylogenetic Analysis of Lumpy Skin Disease in Cattle in the Mekong Delta of Vietnam

A Model for Early Detection of Lumpy Skin Disease in Cattle Using Ensemble Technique

A Model for Early Detection of Lumpy Skin Disease in Cattle Using Ensemble Technique

Prevalence and progression of Lumpy Skin Disease cases in cattle over the six months leading up to Eid al-Adha in 2023 in the Cirebon District of West Java Province, Indonesia

Lumpy Skin Disease (LSD) is a disease of ruminant caused by virus of Capripox genus Poxviridae family which result in skin damage up to leave deep holes in the muscle of cattle and even death. The morbidity rate of LSD is quite high but the mortality rate is low. The LSD outbreak was quite disturbing for the people, especially leading up to Eid al-Adha because the legal requirements for sacrificial animals are that they are healthy and without defects. The aim of this paper was to determine prevalence and progression of LSD in cattle in Cirebon District from January to June 2023 or over the six months leading up to Eid al-Adha in 2023. Data on LSD infected, recovered, forcibly slaughtered and killed cattle due to LSD were needed. During this period, LSD has spread to 82 villages in 32 sub-districts with 454 cases out of a total cattle population of 4373 (prevalence was 10.83%). Meanwhile, the progression of LSD cases have improved with a significant cure rate of 137 cattle in response to LSD treatment.

Review on the Economic Impacts of Lumpy Skin Disease of Cattle and Its Prevention and Control Strategies in Ethiopia

Lumpy skin disease (LSD) is an infectious disease of cattle, caused by a Lumpy Skin Disease Virus. It is an economically important viral disease of cattle affecting all ages and breeds that can be prevented by vaccination in endemic regions including Ethiopia. LSD is an OIE listed disease because of considerable financial losses and in Ethiopia due to the endemic nature of LSD; the country is facing serious difficulties in exporting live cattle and their products. In addition, this situation contributes a negative impact on the national economic growth through the loss of meat and milk production and poor quality of skin and hides. Serious economic losses can follow outbreaks that have a high morbidity and high mortality rates of 40 percent or more have been encountered. There is no specific antiviral treatment available for LSD-infected cattle. The disease is now the problem of almost all the regions and agro ecological zones of Ethiopia. Major outbreaks of LSD have been occurred in different regions of Ethiopia. Two vaccines, however, Neethling and Kenya sheep and goat pox virus, have been used widely in Africa with success. Preventing movement the diseased animals along with vector control, regular annual vaccinations and awareness creation for cattle owners play great role in disease prevention and control. The disease outbreak was observed in the cattle regardless of previous vaccination with Kenyan sheep- and goat pox vaccine the occurrence of LSD outbreak scale, despite the use of a vaccination regime, is suggestive of vaccine failure. Apparent emerging vaccine failure is a serious problem for efficient control of LSD, as the disease has been manifested by high morbidity and mortality rates, regardless of vaccination status. Consequently continuous surveillance on the status of the disease and genetic information on circulating field viruses is mandatory in order to take effective measures for the control of the disease in the country.

Testing and Histipathological Description of the Occurrence of Lumpy Skin Disease in Cattle in Kulon Progo, Special Region of Yogyakarta

Testing and Histipathological Description of the Occurrence of Lumpy Skin Disease in Cattle in Kulon Progo, Special Region of Yogyakarta

Lumpy Skin Disease in Cattle - Treatment and Control Measures

Lumpy Skin Disease in Cattle - Treatment and Control Measures

Evaluation of the safety, immunogenicity and efficacy of a new live-attenuated lumpy skin disease vaccine in India

ABSTRACT Lumpy skin disease (LSD) was reported for the first time in India in 2019 and since then, it has become endemic. Since a homologous (LSD-virus based) vaccine was not available in the country, goatpox virus (GPV)-based heterologous vaccine was authorized for mass immunization to induce protection against LSD in cattle. This study describes the evaluation of safety, immunogenicity and efficacy of a new live-attenuated LSD vaccine developed by using an Indian field strain, isolated in 2019 from cattle. The virus was attenuated by continuous passage (P = 50) in Vero cells. The vaccine (50th LSDV passage in Vero cells, named as Lumpi-ProVac Ind ) did not induce any local or systemic reaction upon its experimental inoculation in calves (n = 10). At day 30 post-vaccination (pv), the vaccinated animals were shown to develop antibody- and cell-mediated immune responses and exhibited complete protection upon virulent LSDV challenge. A minimum Neethling response (0.018% animals; 5 out of 26,940 animals) of the vaccine was observed in the field trials conducted in 26,940 animals. There was no significant reduction in the milk yield in lactating animals (n = 10108), besides there was no abortion or any other reproductive disorder in the pregnant animals (n = 2889). Sero-conversion was observed in 85.18% animals in the field by day 30 pv.

Overview of Lumpy Skin Disease in Cattle

Overview of Lumpy Skin Disease in Cattle

Significances of Lumpy Skin Disease in Cattle

Significances of Lumpy Skin Disease in Cattle

Detecting High-risk Area for Lumpy Skin Disease in Cattle Using Deep Learning Feature

Cattle’s lumpy skin disease is a viral disease that transmits by blood-feeding insects like mosquitoes. The disease mostly affects animals that have not previously been exposed to the virus. Cattle lumpy skin disease impacts milk, beef, and national and international livestock trade. Traditional lumpy skin disease diagnosis is very difficult due to, the lack of materials, experts, and time-consuming. Due to this, it is crucial to use deep learning algorithms with the ability to classify the disease with high accuracy performance results. Therefore, Deep learning-based segmentation and classification are proposed for disease segmentation and classification by using deep features. For this, 10 layers of Convolutional Neural Networks have been chosen. The developed framework is initially trained on a collected Cattle’s lumpy Skin Disease (CLSD) dataset. The features are extracted from input images; hence the color of the skin is very important to identify the affected area during disease representation we used a color histogram. This segmented area of affected skin color is used for feature extraction by a deep pre-trained CNN. Then the generated result is converted into a binary using a threshold. The Extreme learning machine (ELM) classifier is used for classification. The classification performance of the proposed methodology achieved an accuracy of 0.9012% on CLSD To prove the effectiveness of the proposed methods, we present a comparison with the state-of-the-art techniques.