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Bacteria and poisonous plants were the primary causative hazards of foodborne disease outbreak: a seven-year survey from Guangxi, South China

Overview of attention for article published in BMC Public Health, April 2018
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Title
Bacteria and poisonous plants were the primary causative hazards of foodborne disease outbreak: a seven-year survey from Guangxi, South China
Published in
BMC Public Health, April 2018
DOI 10.1186/s12889-018-5429-2
Pubmed ID
Authors

Yongqiang Li, Yaling Huang, Jijun Yang, Zhanhua Liu, Yanning Li, Xueting Yao, Bo Wei, Zhenzhu Tang, Shidong Chen, Decheng Liu, Zhen Hu, Junjun Liu, Zenghui Meng, Shaofa Nie, Xiaobo Yang

Abstract

Foodborne diseases are a worldwide public health problem. However, data regarding epidemiological characteristics are still lacking in China. We aimed to analyze the characteristics of foodborne diseases outbreak from 2010 to 2016 in Guangxi, South China. A foodborne disease outbreak is the occurrence of two or more cases of a similar foodborne disease resulting from the ingestion of a common food. All data are obtained from reports in the Public Health Emergency Report and Management Information System of the China Information System for Disease Control and Prevention, and also from special investigation reports from Guangxi province. A total of 138 foodborne diseases outbreak occurred in Guangxi in the past 7 years, leading to 3348 cases and 46 deaths. Foodborne disease outbreaks mainly occurred in the second and fourth quarters, and schools and private homes were the most common sites. Ingesting toxic food by mistake, improper cooking and cross contamination were the main routes of poisoning which caused 2169 (64.78%) cases and 37 (80.43%) deaths. Bacteria (62 outbreaks, 44.93%) and poisonous plants (46 outbreaks, 33.33%) were the main etiologies of foodborne diseases in our study. In particular, poisonous plants were the main cause of deaths involved in the foodborne disease outbreaks (26 outbreaks, 56.52%). Bacteria and poisonous plants were the primary causative hazard of foodborne diseases. Some specific measures are needed for ongoing prevention and control against the occurrence of foodborne diseases.

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X Demographics

The data shown below were collected from the profiles of 3 X users 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 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 36 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 9 25%
Student > Doctoral Student 4 11%
Student > Bachelor 3 8%
Researcher 2 6%
Student > Postgraduate 2 6%
Other 3 8%
Unknown 13 36%
Readers by discipline Count As %
Nursing and Health Professions 4 11%
Immunology and Microbiology 4 11%
Agricultural and Biological Sciences 3 8%
Biochemistry, Genetics and Molecular Biology 2 6%
Economics, Econometrics and Finance 2 6%
Other 7 19%
Unknown 14 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 05 May 2020.
All research outputs
#14,386,355
of 23,039,416 outputs
Outputs from BMC Public Health
#10,450
of 15,005 outputs
Outputs of similar age
#185,934
of 327,283 outputs
Outputs of similar age from BMC Public Health
#248
of 304 outputs
Altmetric has tracked 23,039,416 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 15,005 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.0. This one is in the 27th percentile – i.e., 27% 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 327,283 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 304 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.