Asset Details
MbrlCatalogueTitleDetail
Do you wish to reserve the book?
Genomic Analysis of AZD1222 (ChAdOx1) Vaccine Breakthrough Infections in the City of Mumbai
by
Gujral, Sumeet
, Nair, Sudhir
, Chatterjee, Gaurav
, Joshi, Amit
, Chaturvedi, Pankaj
, Srivastava, Tuhina
, Badwe, Rajendra
, Subramanian, Papagudi
, Gardi, Nilesh
, Patil, Amar
, Bhat, Prashant
, More, Ashwini
, Shetty, Arusha
, Dhumal, Sachin
, Gokarn, Anant
, Bhat, Vivek
, Punatar, Sachin
, Chavan, Preeti
, Shetty, Nitin
, Rajpal, Sweta
, Murthy, Vedang
, Kamtalwar, Sujeet
, Mirgh, Sumeet
, Patkar, Nikhil
, Khattry, Navin
, Dikshit, Rajesh
, Tembhare, Prashant
, Gupta, Sudeep
2022
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
You are currently in the queue to collect this book. You will be notified once it is your turn to collect the book.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Genomic Analysis of AZD1222 (ChAdOx1) Vaccine Breakthrough Infections in the City of Mumbai
by
Gujral, Sumeet
, Nair, Sudhir
, Chatterjee, Gaurav
, Joshi, Amit
, Chaturvedi, Pankaj
, Srivastava, Tuhina
, Badwe, Rajendra
, Subramanian, Papagudi
, Gardi, Nilesh
, Patil, Amar
, Bhat, Prashant
, More, Ashwini
, Shetty, Arusha
, Dhumal, Sachin
, Gokarn, Anant
, Bhat, Vivek
, Punatar, Sachin
, Chavan, Preeti
, Shetty, Nitin
, Rajpal, Sweta
, Murthy, Vedang
, Kamtalwar, Sujeet
, Mirgh, Sumeet
, Patkar, Nikhil
, Khattry, Navin
, Dikshit, Rajesh
, Tembhare, Prashant
, Gupta, Sudeep
in
2022
Oops! Something went wrong.
While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
Genomic Analysis of AZD1222 (ChAdOx1) Vaccine Breakthrough Infections in the City of Mumbai
by
Gujral, Sumeet
, Nair, Sudhir
, Chatterjee, Gaurav
, Joshi, Amit
, Chaturvedi, Pankaj
, Srivastava, Tuhina
, Badwe, Rajendra
, Subramanian, Papagudi
, Gardi, Nilesh
, Patil, Amar
, Bhat, Prashant
, More, Ashwini
, Shetty, Arusha
, Dhumal, Sachin
, Gokarn, Anant
, Bhat, Vivek
, Punatar, Sachin
, Chavan, Preeti
, Shetty, Nitin
, Rajpal, Sweta
, Murthy, Vedang
, Kamtalwar, Sujeet
, Mirgh, Sumeet
, Patkar, Nikhil
, Khattry, Navin
, Dikshit, Rajesh
, Tembhare, Prashant
, Gupta, Sudeep
2022
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Genomic Analysis of AZD1222 (ChAdOx1) Vaccine Breakthrough Infections in the City of Mumbai
Journal Article
Genomic Analysis of AZD1222 (ChAdOx1) Vaccine Breakthrough Infections in the City of Mumbai
2022
Request Book From Autostore
and Choose the Collection Method
Overview
Background. This manuscript describes the genetic features of SARS-CoV-2 mutations, prevalent phylogenetic lineages, and the disease severity amongst COVID-19-vaccinated individuals in a tertiary cancer hospital during the second wave of the pandemic in Mumbai, India. Methods. This observational study included 159 COVID-19 patients during the second wave of the pandemic from 17th March to 1st June 2021 at a tertiary cancer care centre in Mumbai. The cohort comprised of healthcare workers, staff relatives, cancer patients, and patient relatives. For comparison, 700 SARS-CoV-2 genomes sequenced during the first wave (23rd April to 25th September 2020) at the same centre were also analysed. Patients were assigned to nonvaccinated (no vaccination or <14 days from the 1st dose, n = 92), dose 1(≥14 days from the 1st dose to <14 days from the 2nd dose, n = 29), and dose 2 (≥14 days from the 2nd dose, n = 38) groups. Primary measure was the prevalence of SARS-CoV-2 genomic lineages among different groups. In addition, severity of COVID-19 was assessed according to clinical and genomic variables. Results. Kappa B.1.1671.1 and delta B.1.617.2 variants contributed to an overwhelming majority of sequenced genomes (unvaccinated: 40/92, 43.5% kappa, 46/92, 50% delta; dose 1: 14/29, 48.3% kappa, 15/29, 51.7% delta; and dose 2: 23/38, 60.5% kappa, 14/38 36.8% delta). The proportion of the kappa and delta variants did not differ significantly across the unvaccinated, dose 1, and dose 2 groups (p = 0.27). There was no occurrence of severe COVID-19 in the dose 2 group (0/38, 0% vs. 14/121, 11.6%; p = 0.02). SARS-CoV-2 genomes from all three severe COVID-19 patients in the vaccinated group belonged to the delta lineage (3/28, 10.7% vs. 0/39, 0.0%, p = 0.04). Conclusions. Sequencing analysis of SARS-COV-2 genomes from Mumbai during the second wave of COVID-19 suggests the prevalence of the kappa B.1.617.1 and the delta B.1.627.2 variants among both vaccinated and unvaccinated individuals. Continued evaluation of genomic sequencing data from breakthrough COVID-19 is necessary for monitoring the properties of evolving variants of concern and formulating appropriate immune response boosting and therapeutic strategies.
Publisher
Hindawi
MBRLCatalogueRelatedBooks
Related Items
Related Items
We currently cannot retrieve any items related to this title. Kindly check back at a later time.
This website uses cookies to ensure you get the best experience on our website.