↓ Skip to main content

Prevalence, Risk Factors, and Genotypes of Toxoplasma gondii in Food Animals and Humans (2000–2017) From China

Overview of attention for article published in Frontiers in Microbiology, September 2018
Altmetric Badge

Mentioned by

twitter
1 X user

Readers on

mendeley
80 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Prevalence, Risk Factors, and Genotypes of Toxoplasma gondii in Food Animals and Humans (2000–2017) From China
Published in
Frontiers in Microbiology, September 2018
DOI 10.3389/fmicb.2018.02108
Pubmed ID
Authors

Hui Dong, Ruijing Su, Yaoyao Lu, Mengyao Wang, Jing Liu, Fuchun Jian, Yurong Yang

Abstract

Toxoplasma gondii as a food-borne pathogen, the infection of it in food animals has relation with human toxoplasmosis, but the trends and epidemiological features of T. gondii infections in food animals are rarely studied in China. The aimed of this study was to assess the epidemiology and risks of T. gondii in sheep, goats, swines, chickens, yaks, cattle and humans from 2000 to 2017 and to explore prevention and control strategies. The overall seroprevalence of T. gondii infections in food animals is 23.7% (39,194/165,417, 95%CI, 23.49-23.90%), which is significantly higher than that in humans (8.2%, 95%CI, 8.06-8.39%, 8,502/103,383) (P < 0.0001). Compared the prevalence of T. gondii infections in animals and humans sampled from 2000 to 2010, it was significantly increased in the period 2011 to 2017 (P < 0.0001). Compared the food animals from non-Yangtze River, animals from regions of the Yangtze River have high seroprevalence rates for T. gondii (P < 0.0001). Furthermore, samples from the western to eastern regions of the Yellow River showed an increase in seroprevalence for T. gondii (P < 0.0001). It was speculated that T. gondii oocysts may be transmitted by water and annual precipitation possible help the oocyst spread and retain accessible for potential hosts. Effective prevention and control strategies are including water filtration or water boiling, inactivating oocysts from feline's feces, monitoring birds and rodents. Chinese 1 (ToxoDB#9) is the predominant genotype in food animals from China.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 80 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 80 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 13 16%
Student > Ph. D. Student 8 10%
Student > Master 7 9%
Researcher 6 8%
Student > Doctoral Student 4 5%
Other 13 16%
Unknown 29 36%
Readers by discipline Count As %
Veterinary Science and Veterinary Medicine 14 18%
Agricultural and Biological Sciences 9 11%
Biochemistry, Genetics and Molecular Biology 7 9%
Immunology and Microbiology 4 5%
Nursing and Health Professions 4 5%
Other 9 11%
Unknown 33 41%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 27 September 2018.
All research outputs
#20,535,139
of 23,105,443 outputs
Outputs from Frontiers in Microbiology
#22,874
of 25,289 outputs
Outputs of similar age
#293,886
of 337,563 outputs
Outputs of similar age from Frontiers in Microbiology
#604
of 697 outputs
Altmetric has tracked 23,105,443 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 25,289 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 337,563 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 697 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.