Salmonellosis Outbreaks by Food Vehicle, Serotype, Season, and Geographical Location, United States, 1998 to 2015

2019 ◽  
Vol 82 (7) ◽  
pp. 1191-1199 ◽  
Author(s):  
TEAH R. SNYDER ◽  
SAMEH W. BOKTOR ◽  
NKUCHIA M. M'IKANATHA
Keyword(s):  
Public Health ◽  
United States ◽  
Geographical Location ◽  
The United States ◽  
Outbreak Detection ◽  
Washington Dc ◽  
Infection Rates ◽  
Geographic Variations ◽  
Yearly Average ◽  
Food Commodities

ABSTRACT Salmonella is a major cause of foodborne illness in the United States. Although salmonellosis outbreaks are relatively common, food vehicles and other characteristics are not well understood. We obtained data for salmonellosis outbreaks from 1998 to 2015 that were submitted by public health jurisdictions to the Centers for Disease Control and Prevention's Foodborne Disease Outbreak Surveillance System. In total, 2,447 outbreaks (yearly average, 136) with a confirmed or suspected etiology of nontyphoidal Salmonella were identified. The outbreaks included 65,916 individual cases (mean, 27 cases per outbreak). Food vehicles were identified in 49% of the outbreaks. Frequently implicated foods included eggs (12.5%), chicken (12.4%), and pork (6.5%). Fifty-five (2.2%) outbreaks had fatalities; 87 (0.1%) individuals died. Of those outbreaks with a reported serotype, the most commonly identified were Enteritidis (29.1%), Typhimurium (12.6%), and Newport (7.6%). Serotypes with a statistically significant increase over time included Braenderup and I 4,[5],12:i:−. Some serotypes were commonly associated with outbreaks due to certain food vehicles; 81% of outbreaks due to eggs were associated with serotype Enteritidis. Food commodities that were most commonly associated with multistate outbreaks were nuts and seeds, sprouts, and fruits. Outbreaks occurred most frequently in summer. States with the highest number of salmonellosis outbreaks per 100,000 population were Alaska (0.137) and Minnesota (0.121); states with the lowest were Delaware (<0.001) and Wyoming (<0.001). The highest number of salmonellosis cases per 100,000 population were in Washington, DC (4.786) and Arkansas (3.857). Geographic variations in outbreaks may reflect differences in outbreak detection, investigation, reporting, or risk. In addition to collaboration, data-driven public health interventions are needed to decrease infection rates and to prevent complications related to salmonellosis. HIGHLIGHTS

scholarly journals Causes of Outbreaks Associated with Drinking Water in the United States from 1971 to 2006

2010 ◽  
Vol 23 (3) ◽  
pp. 507-528 ◽  
Author(s):  
Gunther F. Craun ◽  
Joan M. Brunkard ◽  
Jonathan S. Yoder ◽  
Virginia A. Roberts ◽  
Joe Carpenter ◽  
...  
Keyword(s):  
Public Health ◽  
United States ◽  
Distribution System ◽  
Water System ◽  
The United States ◽  
Water Systems ◽  
Outbreak Detection ◽  
Waterborne Disease ◽  
Public Water Systems ◽  
Annual Proportion

SUMMARY Since 1971, the CDC, EPA, and Council of State and Territorial Epidemiologists (CSTE) have maintained the collaborative national Waterborne Disease and Outbreak Surveillance System (WBDOSS) to document waterborne disease outbreaks (WBDOs) reported by local, state, and territorial health departments. WBDOs were recently reclassified to better characterize water system deficiencies and risk factors; data were analyzed for trends in outbreak occurrence, etiologies, and deficiencies during 1971 to 2006. A total of 833 WBDOs, 577,991 cases of illness, and 106 deaths were reported during 1971 to 2006. Trends of public health significance include (i) a decrease in the number of reported outbreaks over time and in the annual proportion of outbreaks reported in public water systems, (ii) an increase in the annual proportion of outbreaks reported in individual water systems and in the proportion of outbreaks associated with premise plumbing deficiencies in public water systems, (iii) no change in the annual proportion of outbreaks associated with distribution system deficiencies or the use of untreated and improperly treated groundwater in public water systems, and (iv) the increasing importance of Legionella since its inclusion in WBDOSS in 2001. Data from WBDOSS have helped inform public health and regulatory responses. Additional resources for waterborne disease surveillance and outbreak detection are essential to improve our ability to monitor, detect, and prevent waterborne disease in the United States.

scholarly journals Estimating COVID-19 Prevalence in the United States: A Sample Selection Model Approach

2020 ◽  
Author(s):  
David Benatia ◽  
Raphael Godefroy ◽  
Joshua Lewis
Keyword(s):  
Public Health ◽  
United States ◽  
Sample Selection ◽  
The United States ◽  
Underlying Disease ◽  
Selection Model ◽  
Sample Period ◽  
Infection Rates ◽  
Public Health Response ◽  
Sample Selection Model

SummaryBackgroundPublic health efforts to determine population infection rates from coronavirus disease 2019 (COVID-19) have been hampered by limitations in testing capabilities and the large shares of mild and asymptomatic cases. We developed a methodology that corrects observed positive test rates for non-random sampling to estimate population infection rates across U.S. states from March 31 to April 7.MethodsWe adapted a sample selection model that corrects for non-random testing to estimate population infection rates. The methodology compares how the observed positive case rate vary with changes in the size of the tested population, and applies this gradient to infer total population infection rates. Model identification requires that variation in testing rates be uncorrelated with changes in underlying disease prevalence. To this end, we relied on data on day-to-day changes in completed tests across U.S. states for the period March 31 to April 7, which were primarily influenced by immediate supply-side constraints. We used this methodology to construct predicted infection rates across each state over the sample period. We also assessed the sensitivity of the results to controls for state-specific daily trends in infection rates.ResultsThe median population infection rate over the period March 31 to April 7 was 0.9% (IQR 0.64 1.77). The three states with the highest prevalence over the sample period were New York (8.5%), New Jersey (7.6%), and Louisiana (6.7%). Estimates from mod-els that control for state-specific daily trends in infection rates were virtually identical to the baseline findings. The estimates imply a nationwide average of 12 population infections per diagnosed case. We found a negative bivariate relationship (corr. = -0.51) between total per capita state testing and the ratio of population infections per diagnosed case.InterpretationThe effectiveness of the public health response to the coronavirus pandemic will depend on timely information on infection rates across different regions. With increasingly available high frequency data on COVID-19 testing, our methodology could be used to estimate population infection rates for a range of countries and subnational districts. In the United States, we found widespread undiagnosed COVID-19 infection. Expansion of rapid diagnostic and serological testing will be critical in preventing recurrent unobserved community transmission and identifying the large numbers individuals who may have some level of viral immunity.FundingSocial Sciences and Humanities Research Council.

Calling all Campy – how routine investigation and molecular characterization impacts the understanding of campylobacteriosis epidemiology – Alaska, United States, 2004–2013

2015 ◽  
Vol 144 (2) ◽  
pp. 265-267 ◽  
Author(s):  
L. J. CASTRODALE ◽  
G. M. PROVO ◽  
C. M. XAVIER ◽  
J. B. McLAUGHLIN
Keyword(s):  
Public Health ◽  
United States ◽  
Molecular Characterization ◽  
Case Reports ◽  
Health Impact ◽  
The United States ◽  
Outbreak Detection ◽  
Incident Case ◽  
The Public

SUMMARYUnlike most jurisdictions in the United States, Alaska performs pulsed-field gel electrophoresis (PFGE) characterization of all Campylobacter sp. isolates at the state public health laboratory – a practice that started in 2002. Moreover, in order to ensure early detection and response to campylobacteriosis outbreaks, the Alaska Section of Epidemiology has investigated all incident Campylobacter sp. case reports since 2004. This report summarizes the public health impact of routine incident case investigations and molecular characterization of all Campylobacter sp. isolates. In sum, we found that these efforts have contributed to better characterization of the epidemiology of campylobacteriosis in Alaska, and facilitated more rapid outbreak detection, more public health investigations, and earlier public health interventions.

scholarly journals Interim guidance on deliberate releases of biological agents in the UK and US

2001 ◽  
Vol 5 (43) ◽  
Author(s):  
A Nicoll
Keyword(s):  
Public Health ◽  
United States ◽  
New Jersey ◽  
The United States ◽  
Biological Agents ◽  
Washington Dc ◽  
Infected People ◽  
The Uk ◽  
Health Guidance

Last week, Eurosurveillance Weekly reported on cases of anthrax and public health guidance in the United States (US) (1). The number of people with confirmed anthrax had risen to 11 by 23 October, but additional cases are being classified as suspect, and yet more people are undergoing evaluation. The numbers of infected people are therefore likely to rise. The most recent cases are in postal and mailroom workers in West Trenton, New Jersey, and Washington DC.

Can increases in Twitter posts predict increases in cumulative incidence of COVID-19 in the United States? Evidence that social media can inform epidemic surveillance. (Preprint)

2020 ◽  
Author(s):  
Ruoyan Sun ◽  
Henna Budhwani
Keyword(s):  
Public Health ◽  
United States ◽  
Cumulative Incidence ◽  
Hot Spots ◽  
Adult Population ◽  
State Level ◽  
The United States ◽  
Education Attainment ◽  
Public Health Systems ◽  
Per Capita

BACKGROUND Though public health systems are responding rapidly to the COVID-19 pandemic, outcomes from publicly available, crowd-sourced big data may assist in helping to identify hot spots, prioritize equipment allocation and staffing, while also informing health policy related to “shelter in place” and social distancing recommendations. OBJECTIVE To assess if the rising state-level prevalence of COVID-19 related posts on Twitter (tweets) is predictive of state-level cumulative COVID-19 incidence after controlling for socio-economic characteristics. METHODS We identified extracted COVID-19 related tweets from January 21st to March 7th (2020) across all 50 states (N = 7,427,057). Tweets were combined with state-level characteristics and confirmed COVID-19 cases to determine the association between public commentary and cumulative incidence. RESULTS The cumulative incidence of COVID-19 cases varied significantly across states. Ratio of tweet increase (p=0.03), number of physicians per 1,000 population (p=0.01), education attainment (p=0.006), income per capita (p = 0.002), and percentage of adult population (p=0.003) were positively associated with cumulative incidence. Ratio of tweet increase was significantly associated with the logarithmic of cumulative incidence (p=0.06) with a coefficient of 0.26. CONCLUSIONS An increase in the prevalence of state-level tweets was predictive of an increase in COVID-19 diagnoses, providing evidence that Twitter can be a valuable surveillance tool for public health.

scholarly journals Improving Undergraduate Life Science Education for the Biosciences Workforce: Overcoming the Disconnect between Educators and Industry

2018 ◽  
Vol 17 (3) ◽  
pp. es12 ◽  
Author(s):  
Christopher Thompson ◽  
Joseph Sanchez ◽  
Michael Smith ◽  
Judy Costello ◽  
Amrita Madabushi ◽  
...  
Keyword(s):  
United States ◽  
Workforce Development ◽  
The United States ◽  
University Graduates ◽  
Washington Dc ◽  
College And University ◽  
Highly Educated ◽  
Undergraduate Institutions ◽  
And Mathematics ◽  
Undergraduate Programs

The BioHealth Capital Region (Maryland, Virginia, and Washington, DC; BHCR) is flush with colleges and universities training students in science, technology, engineering, and mathematics disciplines and has one of the most highly educated workforces in the United States. However, current educational approaches and business recruitment tactics are not drawing sufficient talent to sustain the bioscience workforce pipeline. Surveys conducted by the Mid-Atlantic Biology Research and Career Network identified a disconnect between stakeholders who are key to educating, training, and hiring college and university graduates, resulting in several impediments to workforce development in the BHCR: 1) students are underinformed or unaware of bioscience opportunities before entering college and remain so at graduation; 2) students are not job ready at the time of graduation; 3) students are mentored to pursue education beyond what is needed and are therefore overqualified (by degree) for most of the available jobs in the region; 4) undergraduate programs generally lack any focus on workforce development; and 5) few industry–academic partnerships with undergraduate institutions exist in the region. The reality is that these issues are neither surprising nor restricted to the BHCR. Recommendations are presented to facilitate improvement in the preparation of graduates for today’s bioscience industries throughout the United States.

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