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Non-typhoidal Salmonella cause an estimated 1.4 million human illnesses, 26,000 hospitalizations and 400 deaths annually in the United States. Approximately 11% of these infections are attributed to animal contact. Reptiles and amphibians are known sources of salmonellosis; young children (aged5 years) are disproportionately affected by reptile- and amphibian-associated salmonellosis (RAAS) outbreaks. We describe multistate RAAS outbreaks to characterize illnesses and inform prevention efforts. RAAS outbreaks were defined as ≥2 culture-confirmed human Salmonella infections with similar pulsed-field gel electrophoresis patterns and epidemiologic, laboratory or traceback evidence linking them to a common reptile/amphibian exposure. Data sources included the Animal Contact Outbreak Surveillance System; CDC Outbreak Response and Prevention Branch's outbreak management database; PulseNet, the national molecular subtyping network for foodborne disease surveillance in the United States; and the National Antimicrobial Resistance Monitoring System. Twenty-six RAAS outbreaks were reported during 2009-2018, resulting in 1465 illnesses and 306 hospitalizations. The outbreaks were associated with turtles (19), lizards (5), snakes (1) and frogs (1). Sixteen (61.5%) outbreaks were linked to small turtles (4 inches), resulting in 914 illnesses. Forty-nine percent of outbreak-associated patients were aged5 years. Of 362 patients/caregivers interviewed, 111 (30.7%) were aware that reptiles/amphibians can carry Salmonella. Among 267 patient isolates with antimicrobial susceptibility information, 20 (7.5%) were non-susceptible to ≥1 antibiotic used to treat human salmonellosis. RAAS outbreaks result in considerable morbidity, particularly among young children. Illnesses linked to small turtles are preventable through education, targeted outreach to caregivers and paediatricians, and when appropriate, enforcement. Historically, individual states and jurisdictions have enforced existing or promulgated new authorities to address outbreaks. Preventing future RAAS outbreaks requires addressing challenges related to the illegal sale/distribution of small turtles; and for legal reptile sales, providing information on RAAS risk to consumers at point of sale to support informed pet ownership decisions.

Background Foodborne illnesses cost ∼$90 billion in the United States annually. Antibiotic-resistant infections may be more difficult to treat and can be associated with severe outcomes, leading to higher costs and longer length of stay (LOS). We described LOS and costs for hospital admissions for Salmonella and Shigella infections by resistance status. Methods We reviewed all inpatient admissions from ∼300 hospitals in the Premier Healthcare database during 2012–2019 and included records with culture-confirmed nontyphoidal Salmonella (NTS), typhoidal Salmonella (serotypes Typhi and Paratyphi A, B, and C), or Shigella. We classified infections as resistant if laboratory testing found resistance to ≥1 drug in the clinically important antibiotic categories (fluoroquinolones, macrolides, penicillins, folate pathway antagonists, or third-generation cephalosporins) or susceptible otherwise. We used the Wilcoxon rank sum test to assess difference in median LOS and cost of patient hospitalization for resistant vs. susceptible infections by pathogen type. Results Of 4,168 persons hospitalized, about half (n=2,129, 51%) were female; median age was 52 [IQR: 26‒68] years; 29% (n=1,217) of infections were resistant. For NTS infections, median LOS was 4 [IQR: 3‒7] days for resistant and 4 [IQR: 3‒6] (p=0.04) for susceptible; for typhoidal Salmonella, 6 [IQR: 5‒8] for resistant and 5 [IQR: 3‒8] for susceptible (p=0.15); and for Shigella, 3 [IQR: 2‒4] for both (p=0.09). Median costs were highest for typhoidal Salmonella ($12,577 resistant vs. $9,238 susceptible; p=0.21), followed by NTS ($7,179 vs $6,421, p=0.01) and Shigella ($4,975 vs $5,335; p=0.26). Conclusion Hospitalization costs were higher for patients with some resistant infections. Longer LOS may contribute to higher costs; however, it is not clear whether other pathogen or patient factors (e.g., comorbidities) also contributed. Additional data and adjusted analyses may provide insight into reasons for the cost difference. If resistant infections are shown to be the cause, our findings support that public health interventions to limit the spread of resistant infections could reduce costs. Disclosures All Authors: No reported disclosures.

Consumption of unpasteurised milk in the United States has presented a public health challenge for decades because of the increased risk of pathogen transmission causing illness outbreaks. We analysed Foodborne Disease Outbreak Surveillance System data to characterise unpasteurised milk outbreaks. Using Poisson and negative binomial regression, we compared the number of outbreaks and outbreak-associated illnesses between jurisdictions grouped by legal status of unpasteurised milk sale based on a May 2019 survey of state laws. During 2013–2018, 75 outbreaks with 675 illnesses occurred that were linked to unpasteurised milk; of these, 325 illnesses (48%) were among people aged 0–19 years. Of 74 single-state outbreaks, 58 (78%) occurred in states where the sale of unpasteurised milk was expressly allowed. Compared with jurisdictions where retail sales were prohibited (n = 24), those where sales were expressly allowed (n = 27) were estimated to have 3.2 (95% CI 1.4–7.6) times greater number of outbreaks; of these, jurisdictions where sale was allowed in retail stores (n = 14) had 3.6 (95% CI 1.3–9.6) times greater number of outbreaks compared with those where sale was allowed on-farm only (n = 13). This study supports findings of previously published reports indicating that state laws resulting in increased availability of unpasteurised milk are associated with more outbreak-associated illnesses and outbreaks.

The cloud computing environment is a distributed system that offers services to users both as a product and as a service for computing, virtualization, and exchanging data over the Internet. Because the applications utilized in data centers are expanding, their energy consumption and environmental effects have taken on the increased significance and are being put to the test. Increase the resource usage and operational effectiveness of cloud data centers by managing and dynamically consolidating virtual machines. In this study, the challenges of VM consolidation are solved by designing an immigrant strategy for the VMs. Virtual machine consolidation works to maximize resource use and prevent underload and overload of resources. Cat optimization refers to mapping and replacing the VMs using an optimization strategy. The suggested method's goal is to determine the best strategy for minimizing the number of further migrations by choosing the ideal location for the destination and striking the ideal balance between energy consumption and service level agreements. The evaluation's findings show that the results of the suggested method have improved. The simulation was done by CloudSim simulation.