Literature DB >> 11594479

Emerging food-borne pathogens.

J Schlundt1.   

Abstract

The epidemiology of foodborne diseases is changing. While in many developing nations the efficient treatment of diarrhoeal diseases through oral rehydration has probably led to the prevention of many food related deaths, the underlying problems have not been solved. In these countries, the disease incidence of food-and waterborne disease is still increasing, and now data from other parts of the world indicate that new foodborne pathogens have emerged as important public health problems. Over the last two decades, bacterial infections caused by Campylobacter and enterohaemorrhagic Escherichia coli have emerged, well-recognized pathogens, such as Salmonella eoteritidis, have increased dramatically in disease incidence and important foodborne pathogens have become increasingly resistant to antimicrobial agents. The future strategy for prevention of foodborne disease should be founded in scientifically based evaluations of the whole food production chain 'from farm to table', including a description of the most important (risk) factors. Epidemiological studies of outbreaks as well as sporadic cases should be aimed at a better understanding of these factors. In terms of public health importance of the problem, the focus should be on the size of the problem, and the potential for improvement. The indications are that both in developed and developing countries there is significant potential for an improvement of the situation. With this aim in mind, international effort should focus on scientific assessments of the potential for risk reduction under different regional conditions.

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Year:  2001        PMID: 11594479

Source DB:  PubMed          Journal:  Biomed Environ Sci        ISSN: 0895-3988            Impact factor:   3.118


  2 in total

1.  Molecular characterization of fluoroquinolone and/or cephalosporin resistance in Shigella sonnei isolates from yaks.

Authors:  Zhen Zhu; Yuxiang Shi; Xuzheng Zhou; Bing Li; Jiyu Zhang
Journal:  BMC Vet Res       Date:  2018-06-07       Impact factor: 2.741

2.  Fast classification of meat spoilage markers using nanostructured ZnO thin films and unsupervised feature learning.

Authors:  Martin Längkvist; Silvia Coradeschi; Amy Loutfi; John Bosco Balaguru Rayappan
Journal:  Sensors (Basel)       Date:  2013-01-25       Impact factor: 3.576

  2 in total

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