442 – Use of antimicrobials in food animals and impact of transmission of antimicrobial resistance on humans (Research paper – Ma – 2020)

 

 

442 Research paper – Ma – 2020 – Use of antimicrobials in food animals and impact of transmission of antimicrobial resistance on humans

442 Research paper
Use of antimicrobials in food animals and impact of transmission of antimicrobial resistance on humans by Ma, F., Xu, S., Tang, Z., Li, Z., & Zhang, L. 2020 Biosafety and Health : 07-Jan
In Significant Impact Groups: AMU reduction strategies \ Legislation and incentives; Government
Species targeted: Pigs; Poultry; Dairy; Beef;
Age: Not stated;
Summary:
Humans can acquire antimicrobial resistance from drugs through the food chain or the environment (contaminated water, air, soil, or manure). While antimicrobials have been regular supplements in animal feed that maintain health and improve productivity of livestock, their over-use in feeding forage has led to a rise in antibacterial resistance. This review summarizes the current use of antimicrobials in livestock, the harmful effects of antimicrobial resistance, and the comprehensive combat measures.
442 Research paper – Ma – 2020 – Use of antimicrobials in food animals and impact of transmission of antimicrobial resistance on humans
Where to find the original material: https://www.sciencedirect.com/science/article/pii/S2590053620301099?via%3Dihub; https://doi.org/10.1016/j.bsheal.2020.09.004
Country: CN

441 – Understanding the Trend and Distribution of Antimicrobial Resistance Using Event Based Surveillance System EpiWatch (Research report – Natolanda – 2020)

 

 

441 Research report – Natolanda – 2020 – Understanding the Trend and Distribution of Antimicrobial Resistance Using Event Based Surveillance System_EpiWatch

441 Research report
Understanding the Trend and Distribution of Antimicrobial Resistance Using Event Based Surveillance System: EpiWatch by Natolanda, P. P., Moa, A., & Macintyre, C. R. 2020 Global Biosecurity 1: 10-Jan
In Significant Impact Groups: Pathogen management
Species targeted: Other;
Age: Not stated;
Summary:
A lack of comprehensive global AMR surveillance data and an over-reliance on an indicator-based surveillance system has limited the early detection of emerging AMR threats and trends. The EpiWATCH outbreak database has been used to retrieve AMR outbreak reports between August 2016-March 2020 using keywords such as ‘resistance’, ‘resistant’, ‘superbug’, ‘bugs’, ‘MRSA’ and ‘VRE’. Cases were grouped according to geolocation and time to conduct a descriptive epidemiologic analysis of the outbreak. EpiWATCH identified reported AMR outbreaks quickly compared to an indicator-based surveillance system. It detected outbreaks by pathogens, including some not monitored by the World Health Organization. Also, it identified information on both colonised and infected cases. Thus, open source data from EpiWATCH can complement an indicator-based surveillance system for strengthening AMR surveillance.
441 Research report – Natolanda – 2020 – Understanding the Trend and Distribution of Antimicrobial Resistance Using Event Based Surveillance System_EpiWatch
Where to find the original material: https://jglobalbiosecurity.com/articles/10.31646/gbio.71/; 10.31646/gbio.71
Country: Australia

440 – Antimicrobial resistance in wildlife – A Review (Research paper – Vittecoq – 2016)

 

 

440 Research paper – Vittecoq – 2016 – REVIEW_ Antimicrobial resistance in wildlife

440 Research paper
REVIEW: Antimicrobial resistance in wildlife by Vittecoq, M., Godreuil, S., Prugnolle, F., Durand, P., Brazier, L., Renaud, N., … Renaud, F. 2016 Journal of Applied Ecology 53: 519-529
In Significant Impact Groups: Pathogen management
Species targeted: Other;
Age: Not stated;
Summary:
Article builds on a systematic review of the available data in order to highlight the main information we have and to suggest research pathways that should be followed if we aim to fill the gaps in our current knowledge of AMR in wildlife .
440 Research paper – Vittecoq – 2016 – REVIEW_ Antimicrobial resistance in wildlife
Where to find the original material: https://besjournals.onlinelibrary.wiley.com/doi/full/10.1111/1365-2664.12596; 10.1111/1365-2664.12596
Country: FR

439 – Industrial food animal production antimicrobial resistance and human health (Research paper – Silbergeld – 2008)

 

 

439 Research paper – Silbergeld – 2008 – Industrial food animal production antimicrobial resistance and human health

439 Research paper
Industrial food animal production, antimicrobial resistance, and human health by Silbergeld, E. K., Graham, J., & Price, L. B. 2008 Annual Review of Public Health 29: 151-169
In Significant Impact Groups: AMU reduction strategies \ Legislation and incentives; Food supply chain and markets
Species targeted: Pigs; Poultry; Dairy; Beef;
Age: Not stated;
Summary:
1. The use of antimicrobials as feed additives in food animal production is a major cause of increasing antimicrobial resistance in human pathogens. This use accounts for much of total drug production and is increasing worldwide.2. Agricultural antimicrobial use results in the exposure of farmers, farm workers, rural communities, and the general public to antimicrobial resistant pathogens, as well as contamination of air, water, and soils near food animal production sites.3. For public health, the most significant impact of agricultural antimicrobial use is the expansion of reservoirs of resistance because these genes can be transferred widely among microbial communities.4. Reducing or banning agricultural antimicrobial use can reduce risks of antimicrobial resistance in the food supply.5. Disposal of animal waste is a major route of environmental contamination by antimicrobials and resistance determinants.6. Farmers and farm workers are at significantly increased risks of infection by antimicrobial-resistant bacteria; they may serve as entry points for the general community and transfers into health care settings
439 Research paper – Silbergeld – 2008 – Industrial food animal production antimicrobial resistance and human health
Where to find the original material: https://www.annualreviews.org/doi/full/10.1146/annurev.publhealth.29.020907.090904; 10.1146/annurev.publhealth.29.020907.090904
Country: USA

438 – Detection of antibiotic-resistant bacteria and their resistance genes in wastewater surface water and drinking water biofilms (Research paper – Schwartz – 2003)

 

 

438 Research paper – Schwartz – 2003 – Detection of antibiotic-resistant bacteria and their resistance genes in wastewater surface water and drinking water biofilms

438 Research paper
Detection of antibiotic-resistant bacteria and their resistance genes in wastewater, surface water, and drinking water biofilms by Schwartz, T., Kohnen, W., Jansen, B., & Obst, U. 2003 FEMS Microbiology Ecology 43: 325-335
In Significant Impact Groups: Other
Species targeted: Other;
Age: Not stated;
Summary:
In addition to wastewater, biofilms were also investigated in drinking water from river bank filtrate to estimate the occurrence of resistant bacteria and their resistance genes, thus indicating possible transfer from wastewater and surface water to the drinking water distribution network. The vanA gene was found not only in wastewater biofilms but also in drinking water biofilms in the absence of enterococci, indicating possible gene transfer to autochthonous drinking water bacteria.
438 Research paper – Schwartz – 2003 – Detection of antibiotic-resistant bacteria and their resistance genes in wastewater surface water and drinking water biofilms
Where to find the original material: https://www.sciencedirect.com/science/article/abs/pii/S0168649602004440; 10.1016/S0168-6496(02)00444-0
Country: DE

437 – Antibiotic resistance genes from livestock waste -occurrence dissemination and treatment (Research paper – He – 2020)

 

 

437 Research paper – He – 2020 – Antibiotic resistance genes from livestock waste_occurrence dissemination and treatment

437 Research paper
Antibiotic resistance genes from livestock waste: occurrence, dissemination, and treatment by He, Y., Yuan, Q., Mathieu, J., Stadler, L., Senehi, N., Sun, R., & Alvarez, P. J. J. 2020 npj Clean Water 3: 11-Jan
In Significant Impact Groups: Other
Species targeted: Poultry; Dairy; Pigs; Beef; Sheep; Other;
Age: Not stated;
Summary:
Antibiotics are widely used in animal husbandry, and various types of antibiotic resistance genes (ARGs) are frequently detected in livestock waste around the world. Conventional livestock waste treatment processes do not completely remove ARGs, resulting in their release to soil and water environments. Various exposure routes of these ARGs to humans, including inhalation and ingestion of antibiotic-resistant bacteria (ARB) that harbor them, may be contributing to the rise in resistant clinical infections that are increasingly difficult to treat with antibiotics. In this review, we assess the occurrence and variability of ARGs in livestock wastes and their potential propagation pathways to human pathogens.
437 Research paper – He – 2020 – Antibiotic resistance genes from livestock waste- occurrence dissemination and treatment
Where to find the original material: https://www.nature.com/articles/s41545-020-0051-0; 10.1038/s41545-020-0051-0
Country: Global

436 Water medication calculator by 3Tres3 (Tools & Checklists)

 

 

436 Tools & Checklists – Water medication calculator by 3Tres3

436 Tools & Checklists
Water medication calculator by 3Tres3
In Significant Impact Groups:
Species targeted: Pigs;
Age:
Summary:
This simulator calculates the amount of medicine to be incorporated into the water when using a flow meter. To calculate the mother solution we must enter our data. If the amount of water consumed is not known, the simulator provides an approximation based on the number of animals, their weight, temperature and the amount of water wasted. In any case, from the amount of mother solution consumed on the first day of medication, the real water consumption can be calculated.
Where to find the original material: https://www.3tres3.com/simulador-medicacion-en-agua
Country: Spain;

435 ZOETIS – 2016 – Individual Pig Care Poster by ZOETIS (Tools & Checklists)

 

 

435 Tools & Checklists – ZOETIS – 2016 – Individual Pig Care Poster by ZOETIS

435 Tools & Checklists
ZOETIS – 2016 – Individual Pig Care Poster by ZOETIS
In Significant Impact Groups:
Species targeted: Pigs;
Age:
Summary:
Individual Pig Care from Zoetis helps you spot sickness sooner, so pigs can get the treatment they need at the right time. In the post is shown some of the symptons you can find A (Acute), B (Subacute) or C (Chronic illness).
Where to find the original material: https://www.zoetisus.com/responsible-antibiotic-use/downloads/individual_pig_care_poster.pdf;
Country: Spain; USA

434 MAPA – 2020 – Guia eutanasia porcino by Ministry of Agriculure of Spain (Tools & Checklists)

 

 

434 Tools & Checklists – MAPA – 2020 – Guia eutanasia porcino by Ministry of Agriculure of Spain

434 Tools & Checklists
MAPA – 2020 – Guia eutanasia porcino by Ministry of Agriculure of Spain
In Significant Impact Groups:
Species targeted: Pigs;
Age:
Summary:
Guidelines for proper on-farm killing on pigs in accordance with welfare regulations at slaughter. The different means available and their suitability for the type of animal are analysed.
Where to find the original material: https://www.mapa.gob.es/es/ganaderia/temas/produccion-y-mercados-ganaderos/guiaparalaeutanasiadelosanimalesenlasexplotacionesporcinas_13072020_tcm30-541206.pdf;
Country: Spain;

433 INTERPORC – 2020 – Guia gestion gases by INTERPORC and University of Lleida (Tools & Checklists)

 

 

433 Tools & Checklists – INTERPORC – 2020 – Guia gestion gases by INTERPORC and University of Lleida

433 Tools & Checklists
INTERPORC – 2020 – Guia gestion gases by INTERPORC and University of Lleida
In Significant Impact Groups:
Species targeted: Pigs;
Age:
Summary:
Guidelines for a gas management and gas emission reduction in pig farms.

Where to find the original material: https://interporc.com/wp-content/uploads/2020/11/Guia-para-la-minimizacion-de-las-emisiones-gases-granjas-Noviembre20.pdf;
Country: Spain;