Kushal Grakh

Dr. Kushal Grakh

Lala Lajpat Rai University of Veterinary and Animal Sciences, Hisar, Haryāna, International
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Research Focus & Metrics

Academic Career Length

9Years (2018-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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3 February 2022 in Veterinary Research Communications
Verified
Journal Article
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KGKushal Grakh
Kushal Grakh
DMDinesh Mittal
Dinesh Mittal
APAnand Prakash
Anand Prakash
NJNaresh Jindal
Naresh Jindal

18 August 2022 in Tropical Animal Health and Production
Verified
Journal Article
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RKRamesh Kumar
Ramesh Kumar
PMPallavi Moudgil
Pallavi Moudgil
KGKushal Grakh
Kushal Grakh
NJNaresh Jindal
Naresh Jindal
MSManeesh Sharma
Maneesh Sharma
RGRenu Gupta
Renu Gupta

21 November 2022 in Frontiers in Public Health
Verified
Journal Article
Open access
KGKushal Grakh
Kushal Grakh
DPDiksha Panwar
Diksha Panwar
VJVijay Jayawant Jadhav
Vijay Jayawant Jadhav
RKRajesh Khurana
Rajesh Khurana
DYDheeraj Yadav
Dheeraj Yadav
KKKamal Kumar
Kamal Kumar
Background: Veterinary education, is a rigorous professional training program, which exposes students to significant academic and non-academic pressures. The identification of stressors and stress levels among veterinary students mighty help the designing and implementation of coping strategies to protect the students' mental health.Methods: A 44-item based cross-sectional questionnaire survey was prepared and disseminated among veterinary students in India to identify the stressors responsible, measure the amount of stress, and relate stress to characteristics like gender, degree year, and family income. A total of n = 611 veterinary students across 14 states including 27 colleges/universities participated in the study. The collected data was evaluated for sampling adequacy, construct validity, and reliability using a set of statistical tests.Results: The analysis revealed high sampling adequacy with a KMO value of 0.957 and a highly significant anti-image correlation (p < 0.001). The principal component analysis generated six factors or subscales which effectively explained 51.98% of the variance in the data, depicting high construct validity. The Cronbach's alpha value of 0.957 revealed high internal consistency for the questionnaire. Analysis revealed more than 94% of pupils under stress, with levels ranging from moderate to severe. Academic-related stressor (95.58%) was the leading cause of overall stress in the present study followed by inter- and intrapersonal and career related-stressors (93.12%) and exams and evaluation-related stressor (90.99%). In comparison to male students, female students reported significantly higher levels of overall stress, academic stress, and intrapersonal and interpersonal stress (p < 0.001) using Chi-square. The students from lower-income families experienced significantly higher overall stress as well as stress due to family responsibilities (p < 0.001). The first-year undergraduate students reported significantly higher (p < 0.001) stress due to family responsibilities-related stressors whereas second-year students due to social activities-related stressors. The hierarchal regression model predicted that gender, family income, academic-related stressors, inter- and intrapersonal and career-related stressors, and social activities-related stressors can be employed to evaluate overall stress among students, as they ensured the maximum variance in the data (p < 0.001).Conclusions: To the best of our knowledge, this is the first Indian study to identify stressors, quantify associated stress and predict major attributes to be targeted in future studies for veterinary students.

1 January 2020 in International Journal of Livestock Research
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Journal Article
Closed access
KGKushal Grakh
Kushal Grakh
APAnand Prakash
Anand Prakash
DMDinesh Mittal
Dinesh Mittal
PKPankaj Kumar
Pankaj Kumar
RKRamesh Kumar
Ramesh Kumar

22 September 2022 in Antibiotics
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Journal Article
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KGKushal Grakh
Kushal Grakh
DMDinesh Mittal
Dinesh Mittal
TKTarun Kumar
Tarun Kumar
STSwati Thakur
Swati Thakur
DPDiksha Panwar
Diksha Panwar
NJNaresh Jindal
Naresh Jindal
The indiscriminate usage and overuse of antimicrobials in pets or companion animals are underlying causes of antimicrobial resistance (AMR). Despite the multi-faceted global challenge presented by antimicrobial resistance, very few studies have appraised pet practitioners’ factors, such as written policy on antimicrobials, dose rate prescribed, use of critically important antimicrobials, and antimicrobial prescription in clean surgical procedures, which can contribute to AMR. In the present study, an online cross-sectional survey among randomly selected pet practitioners (n = 104) of various Indian provinces and union territories was conducted using a questionnaire comprising 33 closed-ended questions on different parameters, viz., the dosage regimen and level of compliance towards guidelines of the World Health Organization (WHO), other relevant veterinary associations, and their opinion while prescribing antimicrobials. Almost every practitioner of the 104 respondents had revealed the difficulties with owner compliance; i.e., incomplete course of the antibiotics, inappropriate follow-ups, and improper care of the sick animals. The majority of practitioners (95%) reported self-prescription of antimicrobials by the owner before presenting the pet(s) to the veterinary clinic, whereas more than half of the respondents (64%) revealed unavailability of antibiogram facilities. Furthermore, a large number (76%) of practitioners stated empirical treatment based on their experience as the main criteria for antimicrobial choice in the absence of timely results from the laboratory. Although non-necessitated use of antimicrobials in clean surgical procedures has been claimed, surprisingly, the majority of pet practitioners (97%) reported their use to reduce the post-operative complications. The use of the highest priority, critically important antimicrobials (HPCIA) listed by the WHO for humans, particularly quinolones and third-generation cephalosporin, also has been reported for different infections. The treatment durations were nearly as per the recommended guidelines issued by the Danish Small Animal Veterinary Association (DSAVA) for different ailments. Analysis using chi-square tests exhibited a significant correlation between less experienced veterinarians (less than 5 years) and prescription of antimicrobials restricted for critically important infections in human medicine. However, there seems to be no association between the experience of the practitioner and the further studied parameters, namely, antimicrobial regimen prescription, weighing the animals before prescription, dose rate calculation, and antimicrobial selection and use after clean surgical operations. The findings suggest periodic awareness campaigns among practitioners regarding the implementation of the official guidelines, the need for systematic surveillance of AMR, awareness among pet owners about antimicrobial resistance, and the importance of rational use of antimicrobials on their pets.
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10 April 2025 in Pathogens
Verified
Journal Article
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DMDinesh Mittal
Dinesh Mittal
KGKushal Grakh
Kushal Grakh
MKMANESH KUMAR
MANESH KUMAR
PJPunit Jhandai
Punit Jhandai
SDSwati Dahiya
Swati Dahiya
NJNaresh Jindal
Naresh Jindal
Brucellosis, a contagious reproductive disease of livestock, has a significant economic impact in terms of abortions and stillbirths and has zoonotic importance. A study was conducted to estimate the seroprevalence of brucellosis in a bovine population in Haryana state, India. This study was carried out on 4325 bovine serum samples (Cattle: 2151, Buffalo: 2174) using the Rose Bengal Plate Test (RBPT) and indirect enzyme-linked immunosorbent assay (i-ELISA). The seroprevalence, estimated individually by the RBPT and i-ELISA, was found to be 6.86% (95% CI: 6.11–7.62) and 6.05% (95% CI: 5.34–6.76), respectively. In total, 258 out of 4325 (5.96%; 95% CI: 5.25–6.67) samples were found to be positive by both assays. The prevalence was found to be significantly higher in the cattle population (7.58%) as compared to buffalo (4.37%) (Chi-square = 19, p < 0.001). Seroprevalence was highest in the agroclimatic zone I (8.73%), followed by zone II (7.33%) and zone III (1.45%) (Chi-square = 76.27, p < 0.001).