A Shuffling Building Block and Augmentation Parameter Tuning Techniques to Handle Small Medical Dataset

The recent COVID-19 outbreak showed us the importance of faster disease diagnosis using medical image processing as it is considered the most reliable and accurate diagnostic tool. In a CNN architecture, performance improves with the increasing number of trainable parameters at the cost of processing time. We have proposed an innovative approach of combining efficient novel architectures like Inception, ResNet, and ResNet-Xt and created a new CNN architecture that benefits Extreme Cardinal dimensions. We have also created four variations of the same base architecture by varying the position of each building block and used X-Ray, Microscopic, MRI, and pathMNIST datasets to train our architecture. For learning curve optimization, we have applied learning rate changing techniques, tuned image augmentation parameters, and chose the best random states value. For a specific dataset, we reduced the validation loss from 0.22 to 0.18 by interchanging the architecture's building block position. Our results indicate that image augmentation parameters can help to decrease the validation loss. We have also shown rearrangement of the building blocks reduces the number of parameters, in our case, from 5,689,008 to 3,876,528. © 2023 IEEE.

Rapid Face Mask Detection and Person Identification Model Based on Deep Neural Networks

As COVID-19 has been constantly getting mutated and in three or four months a new variant gets introduced to us and it comes with more deadly problems. The things that prevent us from getting Covid are getting vaccinated and wearing a face mask. In this paper, we have implemented a new Face Mask Detection and Person Recognition model named Insight face which is based on SoftMax loss classification algorithm Arc Face loss and named it as Rapid Face Detection and Peron Identification Model based on Deep Neural Networks (RFMPI-DNN) to detect face mask and person identity rapidly as compared to other models available. To compare our new model, we have used previous MobileNet_V2 model and face recognition module for effective comparison on the basis of time. The proposed model implemented in the system has outperformed the model compared in this paper in every aspect. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

Evolving Software Processes: Trends and Future Directions

Evolving Software Processes The book provides basic building blocks of evolution in software processes, such as DevOps, scaling agile process in GSD, in order to lay a solid foundation for successful and sustainable future processes. One might argue that there are already many books that include descriptions of software processes. The answer is "yes, but." Becoming acquainted with existing software processes is not enough. It is tremendously important to understand the evolution and advancement in software processes so that developers appropriately address the problems, applications, and environments to which they are applied. Providing basic knowledge for these important tasks is the main goal of this book. Industry is in search of software process management capabilities. The emergence of the COVID-19 pandemic emphasizes the industry's need for software-specific process management capabilities. Most of today's products and services are based to a significant degree on software and are the results of largescale development programs. The success of such programs heavily depends on process management capabilities, because they typically require the coordination of hundreds or thousands of developers across different disciplines. Additionally, software and system development are usually distributed across geographical, cultural and temporal boundaries, which make the process management activities more challenging in the current pandemic situation. This book presents an extremely comprehensive overview of the evolution in software processes and provides a platform for practitioners, researchers and students to discuss the studies used for managing aspects of the software process, including managerial, organizational, economic and technical. It provides an opportunity to present empirical evidence, as well as proposes new techniques, tools, frameworks and approaches to maximize the significance of software process management. © 2022 Scrivener Publishing LLC. All rights reserved.

Structural analysis of cotton stalk Puller and Shredder Machine

World scenario after pandemic COVID-19 has been drastically changing and researchers more focusing on, to minimize the post-pandemic effects on economy, energy sustainability and food security. Agriculture sector is playing pivotal role in world food security and energy sustain -ability. There is high need to optimize the mechanization technologies to increase the yield in limited energy inputs and operation time to fulfill the world growing food demand. This research is mainly focused on the design development and structural analysis aiding with Finite Element Analysis (FEA) approach for Cotton Stalk Puller and Shredder machine (CSPS) to cut the crop leftovers, soil conditioning (shredding the plant waste into soil) and sowing of next crop in single run by con-serving input resources. The experimental trials revealed that there is high pressure on cutting blades, chocking of shredder section and excessive pulling load on tractor hitches, which affected the machine's performance. To mitigate deficiencies and design optimization to improve the machine safety/reliability, the structure analysis carried out. Six core components of machine including baseplate, blade, gear system, root digger, pulley and shaft has investigated as per field conditions. The results revealed that the material of blade, root digger and teeth of gear system receiving the high stress under the operational conditions which results the edge wear and damage. The carbonization up to one-millimeter thickness can provide the extra strength to bear the exces-sive load on edge layers.(c) 2022 THE AUTHORS. Published by Elsevier BV on behalf of Faculty of Engineering, Alexandria University. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/ licenses/by-nc-nd/4.0/).

Death caused by covid-19 in top ten countries in Asia affected by covid-19 pandemic with special reference to Pakistan.

The COVID-19 is a contagious viral disease, was first emerged in Wuhan, China in December 2019 and became the whole world on alert. The mortality rate in top most countries in Asia with special reference to Pakistan has been focused. Since February 26 to September 2020 the total confirmed cases and mortality rate was measured through Wikipedia and the notable journals. Iran is the only country having highest number of deaths (5.73%) followed by Indonesia (3.77%) while Saudi Arabia shows the lowest number of deaths as 1.39%. In Pakistan the first case was confirmed in 26th February, 2020. The nCov-19 has closely related to severe acute respiratory syndrome (SARS) hence SARS COV-2 was named. This virus is responsible for more than 33.9 million deaths in over all the world as of 20th September, 2020. The number of new cases is increasing time to time. Sindh province of Pakistan has reported the highest number of cases till September, 20, 2020 as compared to other parts of the country and has the highest number of death followed by Khyber Pakhtunkhwa. Because of the person to person contact the disease is spreading rapidly. The individuals who has already infected with other diseases like cancer or diabetic etc. are vulnerable. The nCOV-19 is the most contagious due to its mode of transmission. There is still no vaccine is available for the treatment of disease caused by nCoV-2019. It is therefore the only option to control this pandemic is to adopt effective preventive measures.

Detection of Omicron Caused Pneumonia from Radiology Images Using Convolution Neural Network (CNN)

COVID-19 disease caused by the SARS-CoV-2 virus has created social and economic disruption across the world. The ability of the COVID-19 virus to quickly mutate and transfer has created serious concerns across the world. It is essential to detect COVID-19 infection caused by different variants to take preventive measures accordingly. The existing method of detection of infections caused by COVID-19 and its variants is costly and time-consuming. The impacts of the COVID-19 pandemic in developing countries are very drastic due to the unavailability of medical facilities and infrastructure to handle the pandemic. Pneumonia is the major symptom of COVID-19 infection. The radiology of the lungs in varies in the case of bacterial pneumonia as compared to COVID-19-caused pneumonia. The pattern of pneumonia in lungs in radiology images can also be used to identify the cause associated with pneumonia. In this paper, we propose the methodology of identifying the cause (either due to COVID-19 or other types of infections) of pneumonia from radiology images. Furthermore, because different variants of COVID-19 lead to different patterns of pneumonia, the proposed methodology identifies pneumonia, the COVID-19 caused pneumonia, and Omicron caused pneumonia from the radiology images. To fulfill the above-mentioned tasks, we have used three Convolution Neural Networks (CNNs) at each stage of the proposed methodology. The results unveil that the proposed step-by-step solution enhances the accuracy of pneumonia detection along with finding its cause, despite having a limited dataset. © 2023 Tech Science Press. All rights reserved.

Knowledge, attitude and practice toward the vaccination for COVID-19: a private practitioner-based survey in India

Objectives: The knowledge of health care workers regarding upcoming vaccine for COVID-19 is important for the vaccination process which is going to be conducted soon. The present study was conducted to evaluate the knowledge, attitude and practice (KAP) among Health Care Workers about upcoming Vaccine for COVID-19.

Can COVID-19 Vaccination Be the Culprit for New-Onset Crescentic Glomerulonephritis? The Correlation vs. Causation Conundrum

Introduction: While the development, delivery, and implementation of the mRNA vaccines have been spectacular, consideration for potential rare side effects on organ systems was not clear. Although emergency use authorization trials of these vaccines in the USA did not demonstrate major safety concerns, unique side effects after massscale vaccination are now being reported more frequently. Here, we describe a case of new-onset crescentic & sclerosing GN with linear basement membrane staining for IgG, kappa, and lambda by Immunofluorescence in a 30-yo healthy female three days after receiving her Tozinameran (Pfizer-BioNTech) booster vaccine. Case Description: 30 y/o Caucasian female with no PMH presented with a CC of gross hematuria 3 days after receiving her booster of Tozinameran. Retrospectively reported symptoms of pedal edema, generalized athralgia, tinnitus, and paresthesia of lower limbs. UA revealed dysmorphic RBCs and proteinuria. CT urethrogram, & cystoscopy revealed left hydronephrosis, no nephrolithiasis or urothelial lesions. Kidney biopsy revealed crescentic & sclerosis GN, with linear GBM staining for IgG, Kappa, & Lambda on IF. Several glomeruli showed segmental scars & fibrous crescents in addition to focal cellular crescents of varying ages raising the possibility of concurrent ANCA vasculitis. Her GBM antibody was 25. Additional workup of ANCA, PLA2R, PR3, ana, c3/c4 levels, dsDNA, and hepatitis studies returned negative. On admission, BP was 175/103, and HR 104. Labs were notable for hemoglobin 13.3, WBC 16.6k, & BUN/creatinine 16/1.5. The PE was unremarkable. She received pulse IV steroid therapy, cyclophosphamide, Lupron, and daily plasma exchange (PLEX) for 5 days until her GBM antibody cleared. She responded well to treatment. Her renal function improved, and she was discharged without requiring dialysis. Discussion(s): Our case demonstrates a possible correlation & causation scenario after receiving a Tozinameran booster shot activating anti-GBM disease with concurrent ANCA-negative vasculitis demonstrated by kidney biopsy. Although the mechanism of de novo anti-GBM disease & ANCA-negative vasculitis post-SARS-CoV-2 vaccine remains to be explained, pharmacovigilance is vital in our efforts to ascertain answers.

Antiviral potential of frequently used plants in herbal formulations as immunity enhancers against SARS-CoV-2

A severe acute respiratory syndrome (SARS) is an extraordinary type of communicable infection that is caused by SARS-coronavirus. Since last two years, the entire world is fighting with this highly infectious disease and researchers are devoting all their labours to develop vaccines and few vaccines with remarkable efficacies have been developed. However, the great rate of mutations in SARS-CoV-2 annoying everyone. Though, the scientific communities are doing their best towards neutralizing the impact of infection yet the best way to combat this virus and future similar infections is to boost our immune system in a natural way. In this review, the prospective of widespread and easily available plants have been discussed as immunity enhancers to combat COVID-19 and other viruses.

Robotic-Assisted Kidney Transplantation from Living Donors: Single Center Experience

Introduction: Robotic-assisted kidney transplantation (RAKT) is being adopted for renal transplantation in obese patients with ESRD. Method(s): Consecutive RAKT procured via robotic live donor nephrectomy at our center between June 2018 and August 2021 were retrospectively analyzed. Our first 20 cases (Group I) were compared (student's t-test and Fisher's exact test, p < 0.05 significant) to the later 20 cases (Group II). Result(s): There was no difference in donor age (39.6+/-10.51 vs 38.4+/-12.14 years) or BMI (27.46+/-4.64 vs 29.48+/-4.06) between the two groups. 75% of recipients in both groups received a left kidney. A majority (>60%) of recipients in both groups were African Americans. Recipients in Group II were significantly older than in Group I. There was no significant difference in patient or graft survival or serum creatinine (1.67+/-0.99 mg/dL vs 1.93+/-0.55 mg/dL) at 1-year post-RAKT. One patient in group I died from respiratory failure due to COVID-19. The anastomosis times (35.16+/-7.75 vs 32.00+/-7.32 mins) were not significantly different, though the re-warming time was a significantly longer in our early experience (47.75+/-9.59 vs 42.00+/-6.55 mins, p = 0.016). The incidence of post-op washout (10%), ileus (10%), incisional hernia (5%) and delayed graft function (20%) were similar in both groups. Conclusion(s): Our early and more recent experience demonstrates that RAKT from living donors can be safely performed with excellent outcomes in obese, predominantly African American patients with ESRD. Practice paradigms are evolving to offer RAKT to patients with BMI >40 who may otherwise be considered ineligible for kidney transplantation.

Reinforced Sputnik-V Induced Spike Protein Antibody Levels in Pakistan: An Edge of Sputnik-V Over Sinopharm and SinoVac as Commercially Available COVID-19 Vaccines

Background: Despite several challenges, the SARS-CoV-2 pandemic is still not over. Rapid mass-scale immunization is critical to prevent further COVID-19-associated deaths. Objectives: Herein, we aimed to evaluate the rapid ramp-up effects of spike antibodies in response to Sputnik V, Sinopharm, and SinoVac first dose administration in the general public of Pakistan. Methods: A cross-sectional study was conducted on 2000 participants to examine Sputnik V, Sinopharm, and SinoVac first dose effects 21 days post-administration. From 1200 real-time PCR negative subjects, the samples were subjected to SARS-CoV-2 spike antibody levels using electro-chemiluminescence immunoassay (ECLIA) (Elecsys, # 09289267190 Roche, USA). Results: SARS-CoV-2 spike protein positivity was detected highest at 87% among participants receiving SputnikV with SARS-CoV-2 spike protein antibodies > 1.5 AU/mL compared to 47.6% and 25% in individuals receiving Sinopharm and SinoVac, respectively. Also, 36.04% of the Sputnik-administered individuals depicted antibody levels > 250 AU/mL. Of the participants, 55% had a previous history of COVID-19. Also, 14.86%, 4.76%, and 0% of the SputnikV, Sinopharm, and SinoVac administered subjects showed antibodies > 100 AU/mL, respectively, while > 25 AU/mL antibodies were found in 10.70% of SputnikV, 19.04% of Sinopharm and 10.71% of SinoVac administered individuals. Moreover, > 1.5-2.5 AU/mL antibodies levels were found in 25.10%, 23.80%, and 14.28% of participants with SputnikV, Sinopharm, and SinoVac administered vaccines, respectively. The antibody titers of < 1.5 AU/mL were detected among 13.30%, 52.38%, and 46.42% of subjects administered with SputnikV, Sinopharm, and SinoVac vaccines, respectively. Conclusions: Even before administrating the second booster dose of SputnikV, a significantly higher number of patients depicted rapid ramp-up of SARS-CoV-2 specific spike antibodies, which can significantly contribute to rapid mass-immunization. Despite all challenges, persistent antibody plateau monitoring is critical to attaining humoral immunity against SARS-CoV-2 infections. © 2022, Author(s).

Effectiveness and outcome of Unani medicine interventions on population at risk of COVID-19

The novel coronavirus disease (COVID-19) is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The immune response to SARS-CoV-2 can play an important role in disease pathogenesis and clinical manifestations. Considering the antiviral, immuno-modulatory, anxiolytic, antiinflammatory and antioxidant properties, this open labelled, controlled, interventional, prophylactic study was conducted on individuals at risk in containment zones of different cities of India, viz., Lucknow, Aligarh, New Delhi, Srinagar, Mumbai and Bengaluru. The study focuses on number of patients turning COVID-19 positive, change in ISQ and WHOQOL-BREF scales in both the groups. Apparently, healthy individuals at risk in containment zones were divided into intervention and control groups. The intervention group was further divided into two subgroups. The first subgroup received Unani regimen- I including Unani Joshanda with Khamira Marwareed (KM), the second subgroup received Unani regimen- II including Unani Joshanda with Tiryaq Arba (TA). The control group did not receive any intervention. The duration of intervention was 20 days;follow ups were planned on day 10, day 20 and day 35. A total number of 33021 participants were enrolled in the study, of which 30,931 participants completed the study. It was observed that individuals receiving Unani regimen-I demonstrated lower risk of developing COVID-19 by 74% and those receiving Unani regimen-II by 62% in comparison to the control group. Interventional groups showed highly significant (p<0.001) effect on the quality of life.

The linkage between oil price, stock market indices, and exchange rate before, during, and after COVID-19: Empirical insights of Pakistan

This study analyzes the trilateral relationship between macroeconomic variables of oil prices, stock market index, and exchange rate to demonstrate their behavior and inter-relationship in the economic setup of Pakistan. The investigated period includes daily time series data ranging from 4 January 2016 to 30 April 2021. The study consists of three sub-periods: the pre-COVID-19 period ranging from 4 January 2016 to 31 December 2019, COVID-19 period ranging from 1 January 2020 to 30 April 2021, and overall period ranging from 4 January 2016 to 30 April 2021 by using a Vector Autoregressive (VAR) model. The results illustrate that oil prices changes, and stock index have an insignificant direct relationship both in pre-COVID-19 and overall sub-periods of study while a positive and statistically significant relationship during the COVID-19 period. This research also suggests that stock index has a direct and statistically significant but negative impact on the exchange rate in all sub-periods of study. This research also gives practical implications for forex investors and traders to analyze the inflating and deflating stock market patterns for future investment opportunities. However, most of the previous studies emphasized on the direct influence of exchange rate on the stock market and no effort is made on vice versa association. Furthermore, this research presents a practical relevance for the stock market investors that health uncertainty regime affected the insignificant association between oil price and stock market indices and this relation turns out to be significant during the crisis regime.

Therapeutic Options for the SARS-CoV-2 Virus: Is There a Key in Herbal Medicine?

SARS-CoV-2 has been responsible for over 500 million cumulative cases all over the world since December 2019 and has marked the third introduction of a highly pathogenic virus after SARS-CoV and MERS-CoV. This virus is in a winning situation because scientists are still racing to explore effective therapeutics, vaccines, and event treatment regimens. In view of progress in current disease management, until now none of the preventive/treatment measures can be considered entirely effective to treat SARS-CoV-2 infection. Therefore, it is required to look up substitute ways for the management of this disease. In this context, herbal medicines could be a good choice. This article emphasizes the antiviral potential of some herbal constituents which further can be a drug of choice in SARS-CoV-2 treatment. This article may be a ready reference for discovering natural lead compounds and targets in SARS-CoV-2 associated works.

Evaluation of safety and efficacy of Unani Add-on regimen in preventing the progression of severity of the disease in hospitalized SARS-CoV2 tested positive asymptomatic /mild to moderate symptomatic COVID-19 cases-A Randomised Controlled Clinical Trial

Objectives: The study aimed to establish the effectiveness of Unani add-on regimen by comparing theduration required for change in disease status from COVID-19 positive asymptomatic / mildto moderate symptomatic patients to asymptomatic negative. Methods: This single-centric, randomized, twin arm, controlled, clinical trial was carried out on a totalnumber of 62 RT-PCR confirmed COVID-19 patients. The Intervention group (IG) receivedUnani Regimen (Khameera Marwareed and Unani Joshanda) in addition to the conventional management, while the Control group (CG) received only conventional management. Results: It was observed that 16 (51.6%) patients in Intervention Group and 3 (9.4%) patients incontrol group became negative for COVID-19 at day 7 and remaining 13 out of 15 (93.5%) patients in Intervention Group and 20 out of 28 (74.1%) patients in control group becamenegative for COVID-19 at day 14.This effect of the Unani Regimen in comparison to thecontrol group was statistically significant (p =0.003). Conclusions: It can be concluded that the change of COVID-19 positive asymptomatic / mild to moderate symptomatic patients to RT-PCR negative was much earlier in the add-on Unani regimen group as compared to control group.

Knowledge, Attitude and Practices of Healthcare Providers about Covid-19 in Khyber Pakhtunkhwa, Pakistan

Objective: Healthcare providers (HCPs) are at the forefront and are at risk of being exposed to suspected cases of COVID-19. The objective of our study was to evaluate knowledge, attitude and practices of HCPs about COVID-19 in Khyber Pakhtunkhwa (KPK) province of Pakistan. Methods: A cross-sectional survey was conducted online among HCPs that included physicians, dentists, pharmacists, nurses and technicians in KPK province. The validated questionnaire (Cronbach alpha= 0.61 & 0.69 respectively for knowledge & practice sections) related to COVID-19 including socio-demographics was asked. Data was analyzed using SPSS version 22.0. Result: Out of 480 HCPs, 83.8% (n=402) were physicians & dentist, while 12.5% (n= 60) were pharmacist, nurses and technicians. We found that 86% of the HCPs had adequate knowledge. Most common reason for being worried about COVID- 19 was risk to members of family and friends (98%), followed by dangers of disease itself (93%). Fear of infection and carrying it home was as high as 93% and 97% respectively. Around 75% of the HCPs had adequate score about practices. Conclusion: HCPs in Pakistan has good knowledge and attitude related to COVID-19. However, one-fourth of the HCPs did not report good practices, which is alarming. There is a need to reinforce knowledge and monitor practices of HCPs regarding standard infection control practice.

Effectiveness of unani regimen in protecting high risk population from COVID-19: A pilot study

The coronavirus disease 2019 (COVID-19) pandemic caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has spread globally. COVID-19 presents varied clinical features. The present study focuses on number of patients turning COVID-19 positive, change in Immune Status Questionnaire (ISQ) and WHO quality of life-Bref (WHO Qol – BREF) scales after taking intervention. This open labelled, double arm, controlled, interventional, clinical trial was conducted on high-risk individuals i.e., those residing with a COVID-19 positive member in the identified quarantine area. This twin armed study was conducted on asymptomatic individuals exposed to COVID-19. The test group were prescribed Unani poly-herbal decoction together with Unani formulations Khamira Marwareed and Tiryaq e Arba whereas the control group was not on any intervention. The duration of intervention was 20 days;follow ups were planned on day 10 and day 20. Of the 81 participants enrolled, none of the patients turned COVID-19 positive. However, 13.58% (n=11) developed COVID like symptoms and 70 patients completed the study. The mean age of the participants was 41.42±16.9 years;however, majority of the participants were 18-28 years male with Damvi (Sanguine) temperament. The quality of life of the intervention group improved significantly however, the immune status in both the groups increased with P <0.001. The Unani prophylactic regimen provides a 62% (relative risk reduction) protection against COVID-19. This pilot study paves for a study on a larger population. No adverse effects were observed during the study. Absence of biochemical investigations were limitations to the study. © 2022, National Institute of Science Communication and Information Resources. All rights reserved.

Global overview of SARS-CoV-2 induced COVID-19 in 2020: biological characterization, epidemiology with social, economic and environmental implications

Background: COVID-19 is a global pandemic initiated in January 2020 that caused 79 million cases and more than 1.7 million deaths worldwide. The causative agent of COVID-19 is Severe Acute Respiratory Syndrome Coronavirus-2, a member of Betacoronvirus. COVID-19 patients are classified into asymptomatic, mild symptomatic, and severe symptomatic cases. Objectives: To review the prevalence, therapeutic interventions for the treatment, vaccination, and containment of COVID-19 in four quarters of 2020, emphasizing the advancements in biological studies, and the social, economic, and environmental impact of the pandemic. Methodology: Data of COVID-19 spread, identification, prevention, and control measures was analyzed. The impacts of pandemic on society, economy, and the environment were assessed.

Face Mask Detection Using OpenCv and Machine Learning

In this pandemic corona virus put a huge impact on our daily life and It also put a huge impact on global trade. Protect face has become a new trend and It has become normal this day. Now these day or in future many people will required to were mask in order to protect themselves and also to protect nearby people and also to the surrounding. Face detection has become important in protecting worldwide population. So in this project we are making AI machine to recognize a people who is wearing a mask or not. It will helps us to protect the environment from spreading the virus. To build this project we need the help machine learning, deep learning and neural network which will help us to achieve the aim of this project. The tolls we required to achieve this project is jupyter notebook and we have to install the numpy, opencv, tensorflow and numpy and learning tool. This approach will help us to detect the person is wear mask in the picture as well as in the picture. It will also recognize and identify a moving face and mask. © 2022 IEEE.

COVID-19 pandemic: A lockdown experience with veterinary tele-health services in Kashmir

Telehealth facility was launched to extend veterinary services throughout Kashmir valley. It was also desired for continuation of veterinary internship during the COVID-19 lock-down period. A total of 714 response forms were received from the participating veterinary faculty of clinical disciplines in six months. The majority (n=504, 70.6%) of the cases pertained to the dairy cattle. Thirty per cent (n=9/30) of the designated specialists participated. The tele-health facility was availed by interns (44.25%), farmers/animal owners (36.51%), field veterinarians (15.28%) and the para-veterinarians (3.97%) in significantly decreasing order. Telephone mobile calls, WhatsApp messages (text, photos and videos), and the SMS text messages were the platforms used. The animals with medical problems (67.66%) were significantly more than those showing gynaecological (18.25%) and surgical (14.09%) ailments. More than half (52.58%) of the cases were reported from the nearby three districts. The remaining (47.42%) animal owners resided in rest of the seven districts. Most of the complaints pertained to skin and appendages (27.18%), alimentary (25.79%) and reproductive tract (18.25%) in the affected cattle respectively. Udder and teat affections, metabolic diseases, and repeat breeding were tentatively diagnosed in majority of the cows. From this preliminary study, it is concluded that the veterinary telehealth service can reach far-off places and education can be continued amidst lockdown period. Short duration and lack of the follow up details are the weakness of this study. Additionally, more veterinary specialists need be persuaded to participate in telehealth modality.