 Hi everyone, my name is Alice Carey and I'm going to take you through some work that we did in DaGorati in establishing the occurrence of a microbial resistance campylobacter species. Campylobacter is a major cause of bubon infection and has been shown to timely cost per area in children under the age of five years. Some of the drivers for microbial resistance include unmicrobial use, overuse and issues in human and animals. AMR is a major threat to the global public health. The objective of our study was to to understand the prevalence and unmicrobial resistance profiles of campylobacter de juni and campylobacter coli isolated from children, food and domestic animals in DaGorati. We carried out a cross-sectional study whereby we visited 590 households between May and October this year. Some of the samples collected were sold samples from children aged between six months to 24 months, a food sample prepared for the child and sold from livestock owned by the household for the nobody household. To identify campylobacter, we carried out culture in the lab, use of ransomware, chemical identifications and further confirmed isolates using PCR. For the confirmed isolates, we carried out some Timothy P. susceptibility testing using distifusion and use just recast guidelines for the interpretation on whether resistant or susceptible. We analyzed total of 1,389 samples for which 554 are sold samples from children, 590 are ford samples and 255 are livestock samples. Among these we were able to isolate and confirm using PCR 150 to become campylobacter of campylobacter species. Here is a diagrammatic representation of the positive campylobacter isolates across fishes. So from this diagram we can be able to detail that our culture had the highest prevalence at 67% followed by pigs at 60%. We didn't isolate any campylobacter from the food samples. So far we have tested 135 isolates against a panel of six commonly used antibiotics. Among these antibiotics the first vaccine have been shown to have the highest prevalence of resistance at 37% followed by tetracycline at 35%. There is no resistance that have been shown against entomizing in the number of diseases. So in conclusion, the data that we have generated from this study will be used in formulating interventions that will guide on antimicrobial use and lead to improved quality of life. The data will also contribute to the AMR data surveillance that will impact on clinical practice and policy making. Thank you.