ArticleIranian journal of public health2020
Genotyping of Rotaviruses in River Nile in Giza, Egypt.
Article in Iranian journal of public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed, 6 citations in OpenAlex.
- Occurrence of Human Enteric Viruses in Water Sources and Shellfish: A Focus on Africa.Food and environmental virology · 2021Review
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundIn 2013, WHO estimated the annual diarrheal mortality rate among children less than five years in Egypt was 24 deaths per 100.000, 2% was due to rotavirus infection.
methodsEight water samples were collected monthly from the Nile water stream passing through Giza over 12 months during June 2016 to May 2017. Totally, ninety-six water samples were collected and concentrated for the detection of rotavirus group A (RV-A) using RT-PCR. Multiplex semi-nested RT-PCR was performed to identify the genotypes P and G of RV-A.
resultsThe detection rate of RV-A was 18.75% (18/96), whereas the rate of rotavirus genotypes G and P were 61% (11/18) and 50% (9/18), respectively. Rotaviruses G1P[8] and G1P[4] were the most common genotypes identified in our survey. In addition, the seasonal distribution findings demonstrated that the highest detection rate was 37.5% in the winter season, followed by 20.8%, 12.5% and 4% in spring, autumn and summer, respectively.
conclusionMultiplex semi-nested RT-PCR is a useful method for rapid detection and genotyping of RV-A in surface water samples.
Indexed as
Identifiers
32309236PMC7152643W3003877437What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.