Yogesh K Gurav

Dr. Yogesh K Gurav


Research Focus & Metrics

Academic Career Length

17Years (2010-Present)

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

Representative Publications

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1 May 2020 in Indian Journal of Medical Research
Verified
Journal Article
Open access
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GSGajanan Nagoji Sapkal
Gajanan Nagoji Sapkal
ASAnita Shete
Anita Shete
RJRajlaxmi Jain
Rajlaxmi Jain
Pragya Dhruv YadavPragya Dhruv Yadav
Pragya Dhruv Yadav
PSPrasad Sarkale
Prasad Sarkale
RGRaman R. Gangakhedkar
Raman R. Gangakhedkar
Background & objectives: Since the beginning of the year 2020, the pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) impacted humankind adversely in almost all spheres of life. The virus belongs to the genus Betacoronavirus of the family Coronaviridae. SARS-CoV-2 causes the disease known as coronavirus disease 2019 (COVID-19) with mild-to-severe respiratory illness. The currently available diagnostic tools for the diagnosis of COVID-19 are mainly based on molecular assays. Real-time reverse transcription-polymerase chain reaction is the only diagnostic method currently recommended by the World Health Organization for COVID-19. With the rapid spread of SARS-CoV-2, it is necessary to utilize other tests, which would determine the burden of the disease as well as the spread of the outbreak. Considering the need for the development of such a screening test, an attempt was made to develop and evaluate an IgG-based ELISA for COVID-19. Methods: A total of 513 blood samples (131 positive, 382 negative for SARS-CoV-2) were collected and tested by microneutralization test (MNT). Antigen stock of SARS-CoV-2 was prepared by propagating the virus in Vero CCL-81 cells. An IgG capture ELISA was developed for serological detection of anti-SARS-CoV-2 IgG in serum samples. The end point cut-off values were determined by using receiver operating characteristic (ROC) curve. Inter-assay variability was determined. Results: The developed ELISA was found to be 92.37 per cent sensitive, 97.9 per cent specific, robust and reproducible. The positive and negative predictive values were 94.44 and 98.14 per cent, respectively. Interpretation & conclusions: This indigenously developed IgG ELISA was found to be sensitive and specific for the detection of anti-SARS-CoV-2 IgG in human serum samples. This assay may be used for determining seroprevalence of SARS-CoV-2 in a population exposed to the virus.

25 August 2010 in BMC Infectious Diseases
Verified
Journal Article
Open access
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Babasaheb Vishwanath TandaleBabasaheb Vishwanath Tandale
Babasaheb Vishwanath Tandale
SPShailesh Pawar
Shailesh Pawar
YGYogesh K Gurav
Yogesh K Gurav
MCMandeep S Chadha
Mandeep S Chadha
SANTOSH SHIDHU KORATKARSANTOSH SHIDHU KORATKAR
SANTOSH SHIDHU KORATKAR
AMAkhilesh C Mishra
Akhilesh C Mishra
Background: In India, Pune was one of the badly affected cities during the influenza A (H1N1) 2009 pandemic. We undertook serosurveys among the risk groups and general population to determine the extent of pandemic influenza A (H1N1) 2009 virus infections. Methods: Pre-pandemic sera from the archives, collected during January 2005 to March 2009, were assayed for the determination of baseline seropositivity. Serosurveys were undertaken among the risk groups such as hospital staff, general practitioners, school children and staff and general population between 15th August and 11th December 2009. In addition, the PCR-confirmed pandemic influenza A (H1N1) 2009 cases and their household contacts were also investigated. Haemagglutination-inhibition (HI) assays were performed using turkey red blood cells employing standard protocols. A titre of ≥1:40 was considered seropositive. Results: Only 2 (0.9%) of the 222 pre-pandemic sera were positive. The test-retest reliability of HI assay in 101 sera was 98% for pandemic H1N1, 93.1% for seasonal H1N1 and 94% for seasonal H3N2. The sera from 48 (73.8%) of 65 PCR-confirmed pandemic H1N1 cases in 2009 were positive. Seropositivity among general practitioners increased from 4.9% in August to 9.4% in November and 15.1% in December. Among hospital staff, seropositivity increased from 2.8% in August to 12% in November. Seropositivity among the schools increased from 2% in August to 10.7% in September. The seropositivity among students (25%) was higher than the school staff in September. In a general population survey in October 2009, seropositivity was higher in children (9.1%) than adults (4.3%). The 15-19 years age group showed the highest seropositivity of 20.3%. Seropositivity of seasonal H3N2 (55.3%) and H1N1 (26.4%) was higher than pandemic H1N1 (5.7%) (n = 2328). In households of 74 PCR-confirmed pandemic H1N1 cases, 25.6% contacts were seropositive. Almost 90% pandemic H1N1 infections were asymptomatic or mild. Considering a titre cut off of 1:10, seropositivity was 1.5-3 times as compared to 1:40. Conclusions: Pandemic influenza A (H1N1) 2009 virus infection was widespread in all sections of community. However, infection was significantly higher in school children and general practitioners. Hospital staff had the lowest infections suggesting the efficacy of infection-control measures.

1 February 2019 in BMC Infectious Diseases
Verified
Journal Article
Open access
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DMDevendra Mourya
Devendra Mourya
Pragya Dhruv YadavPragya Dhruv Yadav
Pragya Dhruv Yadav
YGYogesh K Gurav
Yogesh K Gurav
PPPrachi G. Pardeshi
Prachi G. Pardeshi
ASAnita Shete
Anita Shete
DPDeepak Yuvraj Patil
Deepak Yuvraj Patil
Crimean Congo Hemorrhagic Fever (CCHF) is a highly infectious zoonotic disease of humans transmitted by Hyalomma ticks. Earlier studies have shown CCHF seroprevalence in livestock throughout India, yet sporadic outbreaks have been recorded mostly from the Gujarat state of India since 2011. Occupational vulnerability to CCHF for animal handlers, veterinarians, abattoir workers, and healthcare workers has been documented. The current study was planned to determine the seroprevalence of CCHF with an intention to identify the high -risk population and high -risk areas from Gujarat state, India. Based on the socio-clinical data, the human population of Gujarat was divided into eight categories viz. A: CCHF affected person/house/close contact, B: Neighborhood contacts, C: Animal handlers, D: General population, E: Farmers, F: Abattoir workers, G: Veterinarian, H: Healthcare workers. A total of 4978 human serum samples were collected from 33 districts of Gujarat during year 2015, 2016 and 2017. All the samples were screened for the presence of anti-CCHFV IgG using indigenously developed anti-CCHFV IgG ELISA. Univariate regression analysis was performed to recognize significant risk factors for CCHF seropositivity. Twenty-five serum samples were found to be positive with an overall CCHF human seropositivity of 0.5% (95% CI 0.30–0.74%). Gender predisposition to CCHF prevalence was observed in males (OR: 2.80; p-value: 0.020). The risk for seropositivity increased sevenfold when a person was in contact or neighbor with a CCHF case (OR 7.02; p-value: < 0.0001). No significant difference in seropositivity was observed within different age groups. Veterinarians, healthcare workers, and control group were found to be seronegative for CCHF. In-spite of CCHF sporadic outbreaks reported in Gujarat, the seropositivity for CCHF in the state was low as compared to other endemic countries. Males, close contacts and neighbors were identified as a high-risk population for CCHF infection. To recognize the high-risk area, tick screening and animal serosurvey would be a wiser choice. The study also suggests circulation and under diagnoses of CCHFV in the naïve regions of Gujarat.

1 July 2011 in Preventive Veterinary Medicine
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Journal Article
Closed access
YGYogesh K Gurav
Yogesh K Gurav
CRChandrashekhar G. Raut
Chandrashekhar G. Raut
Pragya Dhruv YadavPragya Dhruv Yadav
Pragya Dhruv Yadav
Babasaheb Vishwanath TandaleBabasaheb Vishwanath Tandale
Babasaheb Vishwanath Tandale
ASAruna Sivaram
Aruna Sivaram
AMAkhilesh C. Mishra
Akhilesh C. Mishra

1 October 2010
Verified
Journal Article
Closed access
YGYogesh K Gurav
Yogesh K Gurav
Babasaheb Vishwanath TandaleBabasaheb Vishwanath Tandale
Babasaheb Vishwanath Tandale
RJRamesh S Jadi
Ramesh S Jadi
RGRashmi S Gunjikar
Rashmi S Gunjikar
STSanjaykumar S Tikute
Sanjaykumar S Tikute
AMAkhilesh C Mishra
Akhilesh C Mishra

2 May 2016 in Journal of Medical Virology
Verified
Journal Article
Closed access
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YGYogesh K Gurav
Yogesh K Gurav
VBVijay P. Bondre
Vijay P. Bondre
Babasaheb Vishwanath TandaleBabasaheb Vishwanath Tandale
Babasaheb Vishwanath Tandale
RDRekha G. Damle
Rekha G. Damle
SMSanjay Mallick
Sanjay Mallick
SNShankha S. Nag
Shankha S. Nag