Partnerships with government ministries, private sector and international agencies were initiated to benefit the students, as well as chart a path for experiential learning and in-service offerings in the future. One major challenge, however, has been the tendency to focus on infectious diseases, especially zoonoses, with less consideration of other health issues. The opportunity for improvement, nonetheless, lies in the increasing emerging and re-emerging health concerns including epidemics, environmental pollution and related challenges which justify the need for countries and institutions to focus on building and strengthening multidisciplinary health systems.
Antimicrobial resistance (AMR) among bacterial pathogens is a fast-growing public health concern. AMR in non-typhoidal
serovars (NTS) among food animals is of special concern as this may transmit resistant pathogens to humans during handling or consumption of animal products. In Nepal, the possibility of AMR
serovars among food animals is an important area of research, particularly in light of the rapidly growing poultry industry, lack of surveillance and proper biosecurity measures; and paucity of relevant data. This study was conducted with the aim to estimate the burden of NTS and associated antimicrobial resistance in the environments of commercial poultry farms and the poultry carcasses in slaughter house. This study also intends to find some basic knowledge of the poultry farmers and their practice relating to the use of antimicrobials, vaccination and biosecurity measures.

Taking one health approach, a cross-sectional study was carried out in Chitwan district of Nepal between May and October AMR among NTS isolates also underscores the need to strengthen the policies to prevent the rampant use of clinically used human antimicrobials in poultry sector.
This paper describes the result of workshops conducted to increase the knowledge and awareness of university students using a multidisciplinary, collaborative, multisectoral and trans-disciplinary approach concerning One Health and the indigenous people of peninsular Malaysia called the
.

A non-experimental pre and post-test intervention study was carried out among medical, veterinary and allied health students from six public and private universities who attended workshops on One Heath in two
communities living by the Temenggor lake in Malaysia as part of the Malaysia One Health University Network (MYOHUN) efforts in training future and present One Health workforce.

There was a significant increase in various aspects of knowledge and interest concerning One Health and the
. The mean knowledge scores of One Health (p < 0.001) and
(p < 0.001) increased significantly post workshop. A repeated measures ANOVA with a Greenhouse-Geisser correction showed the mean scores of knowledge of One Health F (1, 166) = 127.198, p < 0.001) and
F (1, 166) = 214.757, p < 0.001) differed statistically significantly between the two time points. The test revealed that the score differences for knowledge on One Health (mean difference = 1.796, p < 0.001) and
(mean difference = 4.940, p < 0.001) were statistically significant. https://www.selleckchem.com/products/Temsirolimus.html Repeated measures ANOVA showed a significant difference in the knowledge on
between the students of different courses F (4,166) = 3.734, p-0.006. The difference in the One Health knowledge scores between the students of different courses was not statistically significant F (4,166) = 0.998, p = 0.410.

Emphasis on field training in relation to One health can provide university students greater levels of preparedness to combat zoonotic diseases.
Emphasis on field training in relation to One health can provide university students greater levels of preparedness to combat zoonotic diseases.Foodborne viral infections rank among the top 5 causes of disease, with noroviruses and hepatitis A causing the greatest burden globally. Contamination of foods by infected food handlers or through environmental pollution are the main sources of foodborne illness, with a lesser role for consumption of products from infected animals. Viral partial genomic sequencing has been used for more than two decades to track foodborne outbreaks and whole genome or metagenomics next-generation-sequencing (NGS) are new additions to the toolbox of food microbiology laboratories. We discuss developments in the field of targeted and metagenomic NGS, with an emphasis on application in food virology, the challenges and possible solutions towards future routine application.
Salmonellosis is one of the most common foodborne diseases worldwide. Although human infection by non-typhoidal
(NTS)
is associated primarily with a self-limiting diarrhoeal illness, invasive bacterial infections (such as septicaemia, bacteraemia and meningitis) were also reported. Human outbreaks of NTS were reported in several countries all over the world including developing as well as high-income countries. Conventional laboratory methods such as pulsed field gel electrophoresis (PFGE) do not display adequate discrimination and have their limitations in epidemiological surveillance. It is therefore very crucial to use accurate, reliable and highly discriminative subtyping methods for epidemiological characterisation and outbreak investigation.

Here, we used different whole genome sequence (WGS)-based subtyping methods for retrospective investigation of two different outbreaks of
Typhimurium and
Dublin that occurred in 2013 in UK and Ireland respectively.

Single nucleotide polymorphism (Sds were less discriminatory and could not confirm the source of the outbreak.

Foodborne salmonellosis is an important concern for public health therefore, it is crucial to use accurate, reliable and highly discriminative subtyping methods for epidemiological surveillance and outbreak investigation. In this study, we showed that SNP-based analyses do not only have the ability to confirm the occurrence of the outbreak but also to provide definitive evidence of the source of the outbreak in real-time.
Foodborne salmonellosis is an important concern for public health therefore, it is crucial to use accurate, reliable and highly discriminative subtyping methods for epidemiological surveillance and outbreak investigation. In this study, we showed that SNP-based analyses do not only have the ability to confirm the occurrence of the outbreak but also to provide definitive evidence of the source of the outbreak in real-time.