Enteric illness outbreaks reported through the National Outbreak Reporting System, United States, 2009–19

Author(s):  
Mary E Wikswo ◽  
Virginia Roberts ◽  
Zachary Marsh ◽  
Karunya Manikonda ◽  
Brigette Gleason ◽  
...  

Abstract Background The National Outbreak Reporting System (NORS) captures data on foodborne, waterborne, and enteric illness outbreaks in the United States. The aim of this study is to describe enteric illness outbreaks reported during 11 years of surveillance. Methods We extracted finalized reports from NORS for outbreaks occurring during 2009–2019. Outbreaks were included if they were caused by an enteric etiology or if any patients reported diarrhea, vomiting, bloody stools, or unspecified acute gastroenteritis. Results A total of 38,395 outbreaks met inclusion criteria, increasing from 1,932 in 2009 to 3,889 in 2019. Outbreaks were most commonly transmitted through person-to-person contact (n=23,812, 62%) and contaminated food (n=9,234, 24%). Norovirus was the most commonly reported etiology, reported in 22,820 (59%) outbreaks, followed by Salmonella (n=2,449, 6%) and Shigella (n=1,171, 3%). Norovirus outbreaks were significantly larger, with a median of 22 illnesses per outbreak, than outbreaks caused by the other most common outbreak etiologies (p<0.0001, all comparisons). Hospitalization rates were higher in outbreaks caused by Salmonella and E. coli outbreaks (20.9% and 22.8%, respectively) than those caused by norovirus (2%). The case fatality rate was highest in E. coli outbreaks (0.5%) and lowest in Shigella and Campylobacter outbreaks (0.02%). Conclusions Norovirus caused the most outbreaks and outbreak-associated illness, hospitalizations, and deaths. However, persons in E. coli and Salmonella outbreaks were more likely to be hospitalized or die. Outbreak surveillance through NORS provides the relative contributions of each mode of transmission and etiology for reported enteric illness outbreaks, which can guide targeted interventions.

PLoS ONE ◽  
2021 ◽  
Vol 16 (9) ◽  
pp. e0254287
Author(s):  
Emily G. Pieracci ◽  
Cara E. Williams ◽  
Ryan M. Wallace ◽  
Cheryl R. Kalapura ◽  
Clive M. Brown

Dog importation data from 2018–2020 were evaluated to ascertain whether the dog importation patterns in the United States changed during the COVID-19 pandemic, specifically with regard to denial of entry. Dog denial of entry reports from January 1, 2018, to December 31, 2020, stored within the Centers for Disease Control and Prevention (CDC) Quarantine Activity Reporting System (QARS), were reviewed. Basic descriptive statistics were used to analyze the data. Reason for denial, country of origin, and month of importation were all examined to determine which countries of origin resulted in the largest number of denials, and whether there was a seasonal change in importations during the COVID-19 pandemic (2020), compared to previous years (2018 and 2019). During 2020, CDC denied entry to 458 dogs. This represents a 52% increase in dogs denied entry compared to the averages in 2018 and 2019. Dogs were primarily denied entry for falsified rabies vaccination certificates (56%). Three countries exported 74% of all dogs denied entry into the United States, suggesting that targeted interventions may be needed for certain countries. Increased attempts to import inadequately vaccinated dogs from countries with canine rabies in 2020 may have been due to the increased demand for domestic pets during the COVID-19 pandemic. Educational messaging should highlight the risk of rabies and the importance of making informed pet purchases from foreign entities to protect pet owners, their families, and the public.


2021 ◽  
Author(s):  
Emily G Pieracci ◽  
Cara Williams ◽  
Ryan M Wallace ◽  
Cheryl Kalapura ◽  
Clive M Brown

Dog importation data from 2018-2020 were evaluated to ascertain whether the dog importation patterns in the United States changed during the COVID-19 pandemic, specifically with regard to denial of entry. Dog denial of entry reports from January 1, 2018, to December 31, 2020, stored within the Centers for Disease Control and Prevention (CDC) Quarantine Activity Reporting System, were reviewed. Basic descriptive statistics were used to analyze the data. Reason for denial, country of origin, and month of importation were all examined to determine which countries of origin resulted in the largest number of denials, and whether there was a seasonal change in importations during the COVID-19 pandemic (2020), compared to previous years (2018 and 2019). During 2020, CDC denied entry to 458 dogs. This represents a 52% increase in dogs denied entry compared to the averages in 2018 and 2019. Dogs were primarily denied entry for falsified rabies vaccination certificates (56%). Three countries exported 74% of all dogs denied entry into the United States, suggesting that targeted interventions may be needed for certain countries. Increased attempts to import inadequately vaccinated dogs from countries with canine rabies in 2020 may have been due to the increased demand for domestic pets during the COVID-19 pandemic. Educational messaging should highlight the risk of rabies and the importance of making informed pet purchases from foreign entities to protect pet owners, their families, and the public.


2020 ◽  
Vol 1 (3) ◽  
pp. 100047 ◽  
Author(s):  
Donghai Liang ◽  
Liuhua Shi ◽  
Jingxuan Zhao ◽  
Pengfei Liu ◽  
Jeremy A. Sarnat ◽  
...  

2020 ◽  
Vol 7 (Supplement_1) ◽  
pp. S823-S823
Author(s):  
Kendra Foster ◽  
Linnea A Polgreen ◽  
Brett Faine ◽  
Philip M Polgreen

Abstract Background Urinary tract infections (UTIs) are one of the most common bacterial infections. There is a lack of large epidemiologic studies evaluating the etiologies of UTIs in the United States. This study aimed to determine the prevalence of different UTI-causing organisms and their antimicrobial susceptibility profiles among patients being treated in a hospital setting. Methods We used the Premier Healthcare Database. Patients with a primary diagnosis code of cystitis, pyelonephritis, or urinary tract infection and had a urine culture from 2009- 2018 were included in the study. Both inpatients and patients who were only treated in the emergency department (ED) were included. We calculated descriptive statistics for uropathogens and their susceptibilities. Multi-drug-resistant pathogens are defined as pathogens resistant to 3 or more antibiotics. Resistance patterns are also described for specific drug classes, like resistance to fluoroquinolones. We also evaluated antibiotic use in this patient population and how antibiotic use varied during the hospitalization. Results There were 640,285 individuals who met the inclusion criteria. Females make up 82% of the study population and 45% were age 65 or older. The most common uropathogen was Escherichia Coli (64.9%) followed by Klebsiella pneumoniae (8.3%), and Proteus mirabilis (5.7%). 22.2% of patients were infected with a multi-drug-resistant pathogen. We found that E. Coli was multi-drug resistant 23.8% of the time; Klebsiella pneumoniae was multi-drug resistant 7.4%; and Proteus mirabilis was multi-drug resistant 2.8%. The most common antibiotics prescribed were ceftriaxone, levofloxacin, and ciprofloxacin. Among patients that were prescribed ceftriaxone, 31.7% of them switched to a different antibiotic during their hospitalization. Patients that were prescribed levofloxacin and ciprofloxacin switched to a different antibiotic 42.8% and 41.5% of the time, respectively. Conclusion E. Coli showed significant multidrug resistance in this population of UTI patients that were hospitalized or treated within the ED, and antibiotic switching is common. Disclosures All Authors: No reported disclosures


2020 ◽  
Vol 41 (S1) ◽  
pp. s62-s62
Author(s):  
Timileyin Adediran ◽  
Anthony Harris ◽  
J. Kristie Johnson ◽  
David Calfee ◽  
Loren Miller ◽  
...  

Background: As carbapenem-resistant Enterobacteriaceae (CRE) prevalence increases in the United States, the risk of cocolonization with multiple CRE may also be increasing, with unknown clinical and epidemiological significance. In this study, we aimed to describe the epidemiologic and microbiologic characteristics of inpatients cocolonized with multiple CRE. Methods: We conducted a secondary analysis of a large, multicenter prospective cohort study evaluating risk factors for CRE transmission to healthcare personnel gown and gloves. Patients were identified between January 2016 and June 2019 from 4 states. Patients enrolled in the study had a clinical or surveillance culture positive for CRE within 7 days of enrollment. We collected and cultured samples from the following sites from each CRE-colonized patient: stool, perianal area, and skin. A modified carbapenem inactivation method (mCIM) was used to detect the presence or absence of carbapenemase(s). EDTA-modified CIM (eCIM) was used to differentiate between serine and metal-dependent carbapenemases. Results: Of the 313 CRE-colonized patients enrolled in the study, 28 (8.9%) were cocolonized with at least 2 different CRE. Additionally, 3 patients were cocolonized with >2 different CRE (1.0%). Of the 28 patients, 19 (67.6%) were enrolled with positive clinical cultures. Table 1 summarizes the demographic and clinical characteristics of these patients. The most frequently used antibiotic prior to positive culture was vancomycin (n = 33, 18.3%). Among the 62 isolates from 59 samples from 28 patients cocolonized patients, the most common CRE species were Klebsiella pneumoniae (n = 18, 29.0%), Escherichia coli (n = 10, 16.1%), and Enterobacter cloacae (n = 9, 14.5%). Of the 62 isolates, 38 (61.3%) were mCIM positive and 8 (12.9%) were eCIM positive. Of the 38 mCIM-positive isolates, 33 (86.8%) were KPC positive, 4 (10.5%) were NDM positive, and 1 (2.6%) was negative for both KPC and NDM. Also, 2 E. coli, 1 K. pneumoniae, and 1 E. cloacae were NDM-producing CRE. Conclusion: Cocolonization with multiple CRE occurs frequently in the acute-care setting. Characterizing patients with CRE cocolonization may be important to informing infection control practices and interventions to limit the spread of these organisms, but further study is needed.Funding: NoneDisclosures: None


Author(s):  
Rowland W Pettit ◽  
Jordan Kaplan ◽  
Matthew M Delancy ◽  
Edward Reece ◽  
Sebastian Winocour ◽  
...  

Abstract Background The Open Payments Program, as designated by the Physician Payments Sunshine Act is the single largest repository of industry payments made to licensed physicians within the United States. Though sizeable in its dataset, the database and user interface are limited in their ability to permit expansive data interpretation and summarization. Objectives We sought to comprehensively compare industry payments made to plastic surgeons with payments made to all surgeons and all physicians to elucidate industry relationships since implementation. Methods The Open Payments Database was queried between 2014 and 2019, and inclusion criteria were applied. These data were evaluated in aggregate and for yearly totals, payment type, and geographic distribution. Results 61,000,728 unique payments totaling $11,815,248,549 were identified over the six-year study period. 9,089 plastic surgeons, 121,151 surgeons, and 796,260 total physicians received these payments. Plastic surgeons annually received significantly less payment than all surgeons (p=0.0005). However, plastic surgeons did not receive significantly more payment than all physicians (p = 0.0840). Cash and cash equivalents proved to be the most common form of payment; Stock and stock options were least commonly transferred. Plastic surgeons in Tennessee received the most in payments between 2014-2019 (mean $ 76,420.75). California had the greatest number of plastic surgeons to receive payments (1,452 surgeons). Conclusions Plastic surgeons received more in industry payments than the average of all physicians but received less than all surgeons. The most common payment was cash transactions. Over the past six years, geographic trends in industry payments have remained stable.


2015 ◽  
Vol 15 ◽  
pp. e185
Author(s):  
A.A. Yusuf ◽  
T. Bovitz ◽  
W. Werther ◽  
D. Felici ◽  
M. Mahue ◽  
...  

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