Laboratory-based surveillance for enteric pathogens causing diarrhea is foundational for monitoring foodborne diseases in the United States. However, diarrheal illnesses are not always confirmed by laboratory testing, so estimates of the true number of illnesses must adjust for underdiagnosis, including underdiagnosis due to ill persons not seeking medical care or submitting a stool sample for laboratory testing. We assessed these factors among persons with an acute diarrheal illness who responded to the most recent Foodborne Diseases Active Surveillance Network (FoodNet) Population Survey (2018-2019). Multiple modes of administration (telephone, web-based) and multiple sampling frames were used to ask survey respondents in English or Spanish about diarrhea and other symptoms experienced in the 30 days before the interview and to ask if they had sought medical care or submitted a stool sample. Of 1018 respondents with an acute diarrheal illness, 22.0% had sought medical care and 4.7% submitted a stool sample. On multivariable analysis, older adults (aged 65 years and over), male respondents, and persons with a household income of ≥$40,000 per annum were significantly more likely to seek medical care, as were respondents reporting cough, fever, vomiting, recent international travel, or duration of diarrhea for ≥3 days. Older adults and persons with five or more loose stools in 24 h who sought medical care were significantly more likely to submit a stool sample. Ill respondents with a concurrent cough were less likely to submit a stool sample. Sociodemographic characteristics, symptoms, and international travel influence whether a patient with an acute diarrheal illness will seek care or submit a stool specimen. Accounting for these factors when analyzing surveillance data will likely produce more precise estimates of the true number of foodborne illnesses.

Information on the causative agent in an enteric disease outbreak can be used to generate hypotheses about the route of transmission and possible vehicles, to guide environmental assessments, and to target outbreak control measures. However, only about 40% of outbreaks reported in the United States include a confirmed etiology. The goal of this project was to identify clinical and demographic characteristics that can be used to predict the causative agent in an enteric disease outbreak and to use these data to develop an online tool for investigators to use during an outbreak when hypothesizing about the causative agent. Using data on enteric disease outbreaks from all transmission routes (animal contact, environmental contamination, foodborne, person-to-person, waterborne, unknown) reported to the U.S. Centers for Disease Control and Prevention, we developed random forest models to predict the etiology of an outbreak based on aggregated clinical and demographic characteristics at both the etiology category (i.e., bacteria, parasites, toxins, viruses) and individual etiology (Clostridium perfringens, Campylobacter, Cryptosporidium, norovirus, Salmonella, Shiga toxin-producing Escherichia coli, and Shigella) levels. The etiology category model had a kappa of 0.85 and an accuracy of 0.92, whereas the etiology-specific model had a kappa of 0.75 and an accuracy of 0.86. The highest sensitivities in the etiology category model were for bacteria and viruses; all categories had high specificities (>0.90). For the etiology-specific model, norovirus and Salmonella had the highest sensitivity and all etiologies had high specificities. When laboratory confirmation is unavailable, information on the clinical signs and symptoms reported by people associated with the outbreak, with other characteristics including case demographics and illness severity, can be used to predict the etiology or etiology category. An online publicly available tool was developed to assist investigators in their enteric disease outbreak investigations.

Each year, infections from major foodborne pathogens are responsible for an estimated 9.4 million illnesses, 56,000 hospitalizations, and 1,350 deaths in the United States (1). To evaluate progress toward prevention of enteric infections in the United States, the Foodborne Diseases Active Surveillance Network (FoodNet) conducts surveillance for laboratory-diagnosed infections caused by eight pathogens transmitted commonly through food at 10 U.S. sites. During 2020-2021, FoodNet detected decreases in many infections that were due to behavioral modifications, public health interventions, and changes in health care-seeking and testing practices during the COVID-19 pandemic. This report presents preliminary estimates of pathogen-specific annual incidences during 2022, compared with average annual incidences during 2016-2018, the reference period for the U.S. Department of Health and Human Services' Healthy People 2030 targets (2). Many pandemic interventions ended by 2022, resulting in a resumption of outbreaks, international travel, and other factors leading to enteric infections. During 2022, annual incidences of illnesses caused by the pathogens Campylobacter, Salmonella, Shigella, and Listeria were similar to average annual incidences during 2016-2018; however, incidences of Shiga toxin-producing Escherichia coli (STEC), Yersinia, Vibrio, and Cyclospora illnesses were higher. Increasing culture-independent diagnostic test (CIDT) usage likely contributed to increased detection by identifying infections that would have remained undetected before widespread CIDT usage. Reducing pathogen contamination during poultry slaughter and processing of leafy greens requires collaboration among food growers and processors, retail stores, restaurants, and regulators.

CONTEXT: Foodborne disease surveillance and outbreak investigations are foundational to the prevention and control of foodborne disease in the United States, where contaminated foods cause an estimated 48 million illnesses, 128 000 hospitalizations, and 3000 deaths each year. Surveillance activities and rapid detection and investigation of foodborne disease outbreaks require a trained and coordinated workforce across epidemiology, environmental health, and laboratory programs. PROGRAM: Under the 2011 Food Safety Modernization Act, the Centers for Disease Control and Prevention (CDC) was called on to establish Integrated Food Safety (IFS) Centers of Excellence (CoEs) at state health departments, which would collaborate with academic partners, to identify, implement, and evaluate model practices in foodborne disease surveillance and outbreak response and to serve as a resource for public health professionals. IMPLEMENTATION: CDC designated 5 IFS CoEs in August 2012 in Colorado, Florida, Minnesota, Oregon, and Tennessee; a sixth IFS CoE in New York was added in August 2014. For the August 2019-July 2024 funding period, 5 IFS CoEs were designated in Colorado, Minnesota, New York, Tennessee, and Washington. Each IFS CoE is based at the state health department that partners with at least one academic institution. EVALUATION: IFS CoEs have built capacity across public health agencies by increasing the number of workforce development opportunities (developing >70 trainings, tools, and resources), supporting outbreak response activities (responding to >50 requests for outbreak technical assistance annually), mentoring students, and responding to emerging issues, such as changing laboratory methods and the COVID-19 pandemic.

Estimates of the overall human health impact of agents transmitted commonly through food complement surveillance and help guide food safety interventions and regulatory initiatives. The purpose of this scoping review was to summarize the methods and reporting practices used in studies that estimate the total number of illnesses caused by these agents. We identified and included 43 studies published from January 1, 1995, to December 31, 2019, by searching PubMed and screening selected articles for other relevant publications. Selected articles presented original estimates of the number of illnesses caused by ≥1 agent transmitted commonly through food. The number of agents (species or subspecies for pathogens) included in each study ranged from 1 to 31 (median: 4.5; mean: 9.2). Of the 40 agents assessed across the 43 studies, the most common agent was Salmonella (36; 84% of studies), followed by Campylobacter (33; 77%), Shiga toxin-producing Escherichia coli (25; 58%), and norovirus (20; 47%). Investigators used a variety of data sources and methods that could be grouped into four distinct estimation approaches-direct, surveillance data scaled-up, syndrome or population scaled-down, and inferred. Based on our review, we propose four recommendations to improve the interpretability, comparability, and reproducibility of studies that estimate the number of illnesses caused by agents transmitted commonly through food. These include providing an assessment of statistical and nonstatistical uncertainty, providing a ranking of estimates by agent, including uncertainties; describing the rationale used to select agents and data sources; and publishing raw data and models, along with clear, detailed methods. These recommendations could lead to better decision-making about food safety policies. Although these recommendations have been made in the context of illness estimation for agents transmitted commonly through food, they also apply to estimates of other health outcomes and conditions.

Foodborne illnesses are a substantial and largely preventable public health problem; before 2020 the incidence of most infections transmitted commonly through food had not declined for many years. To evaluate progress toward prevention of foodborne illnesses in the United States, the Foodborne Diseases Active Surveillance Network (FoodNet) of CDC's Emerging Infections Program monitors the incidence of laboratory-diagnosed infections caused by eight pathogens transmitted commonly through food reported by 10 U.S. sites.* FoodNet is a collaboration among CDC, 10 state health departments, the U.S. Department of Agriculture's Food Safety and Inspection Service (USDA-FSIS), and the Food and Drug Administration. This report summarizes preliminary 2020 data and describes changes in incidence with those during 2017-2019. During 2020, observed incidences of infections caused by enteric pathogens decreased 26% compared with 2017-2019; infections associated with international travel decreased markedly. The extent to which these reductions reflect actual decreases in illness or decreases in case detection is unknown. On March 13, 2020, the United States declared a national emergency in response to the COVID-19 pandemic. After the declaration, state and local officials implemented stay-at-home orders, restaurant closures, school and child care center closures, and other public health interventions to slow the spread of SARS-CoV-2, the virus that causes COVID-19 (1). Federal travel restrictions were declared (1). These widespread interventions as well as other changes to daily life and hygiene behaviors, including increased handwashing, have likely changed exposures to foodborne pathogens. Other factors, such as changes in health care delivery, health care-seeking behaviors, and laboratory testing practices, might have decreased the detection of enteric infections. As the pandemic continues, surveillance of illness combined with data from other sources might help to elucidate the factors that led to the large changes in 2020; this understanding could lead to improved strategies to prevent illness. To reduce the incidence of these infections concerted efforts are needed, from farm to processing plant to restaurants and homes. Consumers can reduce their risk of foodborne illness by following safe food-handling and preparation recommendations.

Provision of safe drinking water in the United States is a great public health achievement. However, new waterborne disease challenges have emerged (e.g., aging infrastructure, chlorine-tolerant and biofilm-related pathogens, increased recreational water use). Comprehensive estimates of the health burden for all water exposure routes (ingestion, contact, inhalation) and sources (drinking, recreational, environmental) are needed. We estimated total illnesses, emergency department (ED) visits, hospitalizations, deaths, and direct healthcare costs for 17 waterborne infectious diseases. About 7.15 million waterborne illnesses occur annually (95% credible interval [CrI] 3.88 million-12.0 million), results in 601,000 ED visits (95% CrI 364,000-866,000), 118,000 hospitalizations (95% CrI 86,800-150,000), and 6,630 deaths (95% CrI 4,520-8,870) and incurring US $3.33 billion (95% CrI 1.37 billion-8.77 billion) in direct healthcare costs. Otitis externa and norovirus infection were the most common illnesses. Most hospitalizations and deaths were caused by biofilm-associated pathogens (nontuberculous mycobacteria, Pseudomonas, Legionella), costing US $2.39 billion annually.

Many enteric pathogens disproportionately infect children. Hospital discharge data can provide information on severe infections, including cost. However, the diagnosis must be recorded on the discharge record and coded accurately. We estimated the rate of underascertainment in hospital discharge data among children with culture-confirmed Campylobacter, Salmonella, and Escherichia coli O157 infections using linked laboratory and hospital discharge data from an integrated health care organization. We reviewed the International Classification of Diseases, 9th and 10th Revisions, Clinical Modification (ICD-9/10-CM) diagnosis codes on each patient's discharge record. We determined the percentage of patients who had a pathogen-specific diagnosis code (for Campylobacter, Salmonella, or E. coli O157) or nonspecific gastroenteritis code. We included the first admission or positive test and calculated the number of days between specimen submission (outpatient </=7 days before admission or inpatient) and hospital discharge. Of 65 hospitalized children with culture-confirmed Campylobacter (n = 30), Salmonella (n = 24), or E. coli O157 (n = 11) infections, 55% had that pathogen-specific diagnosis code listed on the discharge record (79% Salmonella, 54% E. coli O157, 37% Campylobacter). The discharge records of the 35 children with a specimen submitted for culture >/=3 days before discharge were 16 times more likely to have a pathogen-specific diagnosis than the records of the 30 children with a specimen submitted <3 days before discharge (83% vs. 23%; odds ratio 15.9, 95% confidence interval: 4.7-53.8). Overall, 34% of records of children with culture-confirmed infection had >/=1 nonspecific gastroenteritis code (Campylobacter 43%, Salmonella 29%, E. coli O157 18%), including 59% of those for children without a pathogen-specific diagnosis (Campylobacter 63%; Salmonella 60%; E. coli O157 40%). This study showed that hospital discharge data under-ascertain enteric illnesses in children even when the infections are culture confirmed, especially for infections that usually have a short length of stay.

OBJECTIVES: Postinfectious irritable bowel syndrome (PI-IBS) is an important sequela of Campylobacter infection. Our goal is to estimate the incidence of Campylobacter-associated PI-IBS in the United States. METHODS: Data from January 1, 2010 to December 31, 2014, were obtained from the MarketScan Research Commercial Claims and Encounters Database. We identified patients with an encounter that included an International Classification of Diseases, Ninth Revision, Clinical Modification diagnosis code for "intestinal infection due to Campylobacter" (008.43) and individually matched them (on age group, sex, and length of enrollment) to a group of persons without a diagnosed Campylobacter infection (non-cases). The primary outcome of interest was a new diagnosis of IBS (International Classification of Diseases, Ninth Revision, Clinical Modification 564.1). RESULTS: Our final matched cohort included 4,143 cases and 20,491 non-cases. At 1 year, the incidence rate of IBS was 33.1 and 5.9 per 1,000 among cases and non-cases, respectively, with an unadjusted risk ratio of 5.6 (95% confidence interval [CI]: 4.3-7.3). After adjusting for healthcare utilization, the Cox proportional hazard ratio was 4.6 (95% CI: 3.5-6.1). Excluding those who received an IBS diagnosis within 90 days, the 1-year incidence rate of IBS was 16.7 and 3.9 per 1,000 among cases and non-cases, respectively, with an unadjusted risk ratio of 4.3 (95% CI: 3.0-6.2). DISCUSSION: Persons with a Campylobacter infection have a much higher risk of developing IBS compared with those not diagnosed with Campylobacter infection. The burden of Campylobacter-associated PI-IBS should be considered when assessing the overall impact of Campylobacter infections.

Guillain-Barre syndrome (GBS) is sometimes preceded by Campylobacter infection. We estimated the cumulative incidence of Campylobacter-associated GBS in the United States using a retrospective cohort design. We identified a cohort of patients with an International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) diagnosis code of "intestinal infection due to Campylobacter" (008.43) using MarketScan Research Databases for 2004-2013. Campylobacter patients with an encounter for "acute infective polyneuritis" (AIP; ICD-9-CM 357.0) were identified. Patients with an inpatient encounter having AIP as the principal diagnosis were considered probable GBS cases. Patients with probable GBS </=8 weeks after the Campylobacter encounter were considered probable Campylobacter-associated GBS cases. For comparison, we repeated this analysis for patients with "other Salmonella infections" (ICD-9-CM: 003). Among 9315 Campylobacter patients, 16 met the case definition for probable GBS. Two were hospitalized with probable GBS </=8 weeks after the encounter listing a Campylobacter diagnosis (9 and 54 days) and were considered probable cases of Campylobacter-associated GBS; this results in an estimated cumulative incidence of 21.5 per 100,000 Campylobacter patients (95% confidence interval [CI]: 3.7-86.6), or 5% of all estimated GBS cases. The remaining 14 patients were diagnosed with probable GBS on the same encounter (n = 12) or 1-3 days (n = 2), before the encounter listing the Campylobacter diagnosis. Including these cases increased the cumulative incidence to 172 per 100,000 Campylobacter cases (95% CI: 101.7-285.5), 41% of estimated GBS cases. This study, using a method not previously applied to United States data, supports other data that Campylobacter is an important contributor to GBS, accounting for at least 5% and possibly as many as 41% of all GBS cases. These data can be used to inform estimates of the burden of Campylobacter infections, including economic cost.

Foodborne diseases represent a major health problem in the United States. The Foodborne Diseases Active Surveillance Network (FoodNet) of CDC's Emerging Infections Program monitors cases of laboratory-diagnosed infection caused by eight pathogens transmitted commonly through food in 10 U.S. sites.* This report summarizes preliminary 2018 data and changes since 2015. During 2018, FoodNet identified 25,606 infections, 5,893 hospitalizations, and 120 deaths. The incidence of most infections is increasing, including those caused by Campylobacter and Salmonella, which might be partially attributable to the increased use of culture-independent diagnostic tests (CIDTs). The incidence of Cyclospora infections increased markedly compared with 2015-2017, in part related to large outbreaks associated with produce (1). More targeted prevention measures are needed on produce farms, food animal farms, and in meat and poultry processing establishments to make food safer and decrease human illness.

Studies estimating the human health impact of the foodborne disease often include estimates of the number of gastroenteritis hospitalisations. The aims of this study were to examine the degree to which hospital discharge data underreport hospitalisations due to bacterial gastroenteritis and to estimate the frequency of stool sample submission among patients presenting with gastroenteritis. Using linked laboratory and hospital discharge data from a healthcare organisation and its affiliated hospital, we examined the International Classification of Disease (ICD-9-CM) diagnosis codes assigned to hospitalised adults with culture-confirmed Campylobacter, Salmonella, or Escherichia coli O157 infections and determined the frequency of stool sample submission. Among 138 hospitalised patients with culture-confirmed infections, 43% of Campylobacter patients, 56% of Salmonella patients and 35% of E. coli O157 patients had that pathogen-specific code listed on the discharge record. Among patients without their infection listed as a diagnosis, 65% were assigned a nonspecific gastroenteritis code. Submitting a specimen for culture 3 days before discharge was significantly associated with having the pathogen-specific diagnosis listed. Of 6181 patients assigned a nonspecific gastroenteritis code, 69% had submitted a stool sample for bacterial culture. This study can be used to understand differences and adjust for the underreporting and underdiagnosed of Campylobacter, Salmonella and E. coli O157 in hospital discharge and surveillance data, respectively.

BACKGROUND: A growing segment of the population-adults aged ≥65 years-is more susceptible than younger adults to certain enteric (including foodborne) infections and experience more severe disease. MATERIALS AND METHODS: Using data on laboratory-confirmed infections from the Foodborne Diseases Active Surveillance Network (FoodNet), we describe trends in the incidence of Campylobacter spp., Escherichia coli O157, Listeria monocytogenes, and nontyphoidal Salmonella infections in adults aged ≥65 years over time and by age group and sex. We used data from FoodNet and other sources to estimate the total number of illnesses, hospitalizations, and deaths in the United States caused by these infections each year using a statistical model to adjust for underdiagnosis (taking into account medical care-seeking, stool sample submission, laboratory practices, and test sensitivity). RESULTS: From 1996 to 2012, 4 pathogens caused 21,405 laboratory-confirmed infections among older adults residing in the FoodNet surveillance area; 49.3% were hospitalized, and 2.6% died. The average annual rate of infection was highest for Salmonella (12.8/100,000) and Campylobacter (12.1/100,000). Salmonella and Listeria led as causes of death. Among older adults, rates of laboratory-confirmed infection and the percentage of patients who were hospitalized and who died generally increased with age. A notable exception was the rate of Campylobacter infections, which decreased with increasing age. Adjusting for underdiagnosis, we estimated that these pathogens caused about 226,000 illnesses ( approximately 600/100,000) annually among U.S. adults aged ≥65 years, resulting in approximately 9700 hospitalizations and approximately 500 deaths. CONCLUSIONS: Campylobacter, E. coli O157, Listeria, and Salmonella are major contributors to illness in older adults, highlighting the value of effective and targeted intervention.

We explored the overall impact of foodborne disease caused by seven leading foodborne pathogens in the United States using the disability adjusted life year (DALY). We defined health states for each pathogen (acute illness and sequelae) and estimated the average annual incidence of each health state using data from public health surveillance and previously published estimates from studies in the United States, Canada and Europe. These pathogens caused about 112 000 DALYs annually due to foodborne illnesses acquired in the United States. Non-typhoidal Salmonella (32 900) and Toxoplasma (32 700) caused the most DALYs, followed by Campylobacter (22 500), norovirus (9900), Listeria monocytogenes (8800), Clostridium perfringens (4000), and Escherichia coli O157 (1200). These estimates can be used to prioritize food safety interventions. Future estimates of the burden of foodborne disease in DALYs would be improved by addressing important data gaps and by the development and validation of US-specific disability weights for foodborne diseases.

OBJECTIVES: Shiga toxin-producing Escherichia coli (STEC) are an important cause of foodborne disease, yet global estimates of disease burden do not exist. Our objective was to estimate the global annual number of illnesses due to pathogenic STEC, and resultant hemolytic uremic syndrome (HUS), end-stage renal disease (ESRD), and death. MATERIALS: We searched Medline, Scopus, SIGLE/OpenGrey, and CABI and World Health Organization (WHO) databases for studies of STEC incidence in the general population, published between January 1, 1990 and April 30, 2012, in all languages. We searched health institution websites for notifiable disease data and reports, cross-referenced citations, and consulted international knowledge experts. We employed an a priori hierarchical study selection process and synthesized results using a stochastic simulation model to account for uncertainty inherent in the data. RESULTS: We identified 16 articles and databases from 21 countries, from 10 of the 14 WHO Sub-Regions. We estimated that STEC causes 2,801,000 acute illnesses annually (95% Credible Interval [Cr.I.]: 1,710,000; 5,227,000), and leads to 3890 cases of HUS (95% Cr.I.: 2400; 6700), 270 cases of ESRD (95% Cr.I.: 20; 800), and 230 deaths (95% Cr.I.: 130; 420). Sensitivity analyses indicated these estimates are likely conservative. CONCLUSIONS: These are the first estimates of the global incidence of STEC-related illnesses, which have not been explicitly included in previous global burden of disease estimations. Compared to other pathogens with a foodborne transmission component, STEC appears to cause more cases than alveolar echinococcosis each year, but less than typhoid fever, foodborne trematodes, and nontyphoidal salmonellosis. APPLICATIONS: Given the persistence of STEC globally, efforts aimed at reducing the burden of foodborne disease should consider the relative contribution of STEC in the target population.

BACKGROUND: Ciguatera and scombroid fish poisonings are common causes of fish-related foodborne illness in the United States; however, existing surveillance systems underestimate the overall human health impact. OBJECTIVES: This study aimed to describe existing data on ciguatera and scombroid fish poisonings from outbreak and poison control center reports and to estimate the overall number of ciguatera and scombroid fish-poisoning illnesses, hospitalizations, and deaths in the United States. METHODS: We analyzed outbreak data from the Foodborne Disease Outbreak Surveillance Systems (FDOSS) from 2000 to 2007 and poison control center call data from the National Poison Data System (NPDS) from 2005 to 2009 for reports of ciguatera and scombroid fish poisonings. Using a statistical model with many inputs, we adjusted the outbreak data for undercounting due to underreporting and underdiagnosis to generate estimates. Underreporting and underdiagnosis multipliers were derived from the poison control call data and the published literature. RESULTS: Annually, an average of 15 ciguatera and 28 scombroid fish-poisoning outbreaks, involving a total of 60 and 108 ill persons, respectively, were reported to FDOSS (2000-2007). NPDS reported an average of 173 exposure calls for ciguatoxin and 200 exposure calls for scombroid fish poisoning annually (2005-2009). After adjusting for undercounting, we estimated 15,910 (90% credible interval [CrI] 4140-37,408) ciguatera fish-poisoning illnesses annually, resulting in 343 (90% CrI 69-851) hospitalizations and three deaths (90% CrI 1-7). We estimated 35,142 (90% CrI: 10,496-78,128) scombroid fish-poisoning illnesses, resulting in 162 (90% CrI 0-558) hospitalizations and 0 deaths. CONCLUSIONS: Ciguatera and scombroid fish poisonings affect more Americans than reported in surveillance systems. Although additional data can improve these assessments, the estimated number of illnesses caused by seafood intoxication illuminates this public health problem. Efforts, including education, can reduce ciguatera and scombroid fish poisonings.

BACKGROUND: Many enteric pathogens disproportionately affect young children. However, higher incidences of laboratory-confirmed illness may be explained, at least in part, by higher rates of medical care-seeking and stool sample submission in this age group. We estimated the overall number of bacterial enteric illnesses among children <5 years old in the United States caused by Campylobacter, Escherichia coli O157, nontyphoidal Salmonella, Shigella, and Yersinia enterocolitica. MATERIALS AND METHODS: We used a statistical model that scaled counts of laboratory-confirmed illnesses from the Foodborne Diseases Active Surveillance Network up to an estimated number of illnesses in the United States, adjusting for the surveillance steps needed for an illness to be laboratory-diagnosed (medical care sought, stool sample submitted, bacterial culture performed, laboratory tested for pathogen, laboratory test sensitivity). RESULTS: We estimated that 5 bacterial enteric pathogens caused 291,162 illnesses each year among children <5 years old, resulting in 102,746 physician visits, 7,830 hospitalizations, and 64 deaths. Nontyphoidal Salmonella caused most illnesses (42%), followed by Campylobacter (28%), Shigella (21%), Y. enterocolitica (5%) and E. coli O157 (3%). The estimated annual number of physician visits ranged from 3,763 for E. coli O157 to 44,369 for nontyphoidal Salmonella. Nontyphoidal Salmonella was estimated to cause most hospitalizations (4,670) and deaths (38). CONCLUSIONS: Bacterial enteric infections cause many illnesses in US children. Compared with the general population, enteric illnesses among children <5 years old are more likely to be diagnosed. However, overall rates of illness remain higher in children after adjusting for under-diagnosis in both groups.

BACKGROUND: Contact with animals and their environment is an important, and often preventable, route of transmission for enteric pathogens. This study estimated the annual burden of illness attributable to animal contact for 7 groups of pathogens: Campylobacter species, Cryptosporidium species, Shiga toxin-producing Escherichia coli (STEC) O157, STEC non-O157, Listeria monocytogenes, nontyphoidal Salmonella species, and Yersinia enterocolitica. METHODS: By using data from the US Foodborne Diseases Active Surveillance Network and other sources, we estimated the proportion of illnesses attributable to animal contact for each pathogen and applied those proportions to the estimated annual number of illnesses, hospitalizations, and deaths among US residents. We established credible intervals (CrIs) for each estimate. RESULTS: We estimated that 14% of all illnesses caused by these 7 groups of pathogens were attributable to animal contact. This estimate translates to 445,213 (90% CrI, 234 197-774 839) illnesses annually for the 7 groups combined. Campylobacter species caused an estimated 187,481 illnesses annually (90% CrI, 66,259-372,359), followed by nontyphoidal Salmonella species (127,155; 90% CrI, 66,502-219,886) and Cryptosporidium species (113,344; 90% CrI, 22,570-299,243). Of an estimated 4933 hospitalizations (90% CrI, 2704-7914), the majority were attributable to nontyphoidal Salmonella (48%), Campylobacter (38%), and Cryptosporidium (8%) species. Nontyphoidal Salmonella (62%), Campylobacter (22%), and Cryptosporidium (9%) were also responsible for the majority of the estimated 76 deaths (90% CrI, 5-211). CONCLUSIONS: Animal contact is an important transmission route for multiple major enteric pathogens. Continued efforts are needed to prevent pathogen transmission from animals to humans, including increasing awareness and encouraging hand hygiene.

BACKGROUND: In the United States, considerable geographic variation in the rates of culture-confirmed Campylobacter infection has been consistently observed among sites participating in the Foodborne Diseases Active Surveillance Network (FoodNet). METHODS: We used data from the FoodNet Population Surveys and a FoodNet case-control study of sporadic infection to examine whether differences in medical care seeking, medical practices, or risk factors contributed to geographic variation in incidence. RESULTS: We found differences across the FoodNet sites in the proportion of persons seeking medical care for an acute campylobacteriosis-like illness (range, 24.9%-43.5%) and in the proportion of ill persons who submitted a stool sample (range, 18.6%-40.7%), but these differences were not statistically significant. We found no evidence of geographic effect modification of previously identified risk factors for campylobacteriosis in the case-control study analysis. The prevalence of some exposures varied among control subjects in the FoodNet sites, including the proportion of controls reporting eating chicken at a commercial eating establishment (18.2%-46.1%); contact with animal stool (8.9%-30.9%); drinking water from a lake, river, or stream (0%-5.1%); and contact with a farm animal (2.1%-12.7%). However, these differences do not fully explain the geographic variation in campylobacteriosis. CONCLUSIONS: Future studies that quantify Campylobacter contamination in poultry or variation in host immunity may be useful in identifying sources of this geographic variation in incidence.

Epidemiologists have used case-control studies to investigate enteric disease outbreaks for many decades. Increasingly, case-control studies are also used to investigate risk factors for sporadic (not outbreak-associated) disease. While the same basic approach is used, there are important differences between outbreak and sporadic disease settings that need to be considered in the design and implementation of the case-control study for sporadic disease. Through the International Collaboration on Enteric Disease "Burden of Illness" Studies (the International Collaboration), we reviewed 79 case-control studies of sporadic enteric infections caused by nine pathogens that were conducted in 22 countries and published from 1990 through to 2009. We highlight important methodological and study design issues (including case definition, control selection, and exposure assessment) and discuss how approaches to the study of sporadic enteric disease have changed over the last 20 years (e.g., making use of more sensitive case definitions, databases of controls, and computer-assisted interviewing). As our understanding of sporadic enteric infections grows, methods and topics for case-control studies are expected to continue to evolve; for example, advances in understanding of the role of immunity can be used to improve control selection, the apparent protective effects of certain foods can be further explored, and case-control studies can be used to provide population-based measures of the burden of disease.

BACKGROUND: Foodborne diseases are typically mild and self-limiting but can cause severe illness and death. We describe the epidemiology of deaths associated with bacterial pathogens using data from the Foodborne Diseases Active Surveillance Network (FoodNet) in the United States. METHODS: We analyzed FoodNet data from 1996-2005 to determine the numbers and rates of deaths occurring within 7-days of laboratory-confirmation. RESULTS: During 1996-2005, FoodNet ascertained 121,536 cases of laboratory-confirmed bacterial infections, including 552 (.5%) deaths, of which 215 (39%) and 168 (30%) were among persons infected with Salmonella and Listeria, respectively. The highest age-specific average annual population mortality rates were in older adults (≥65 years) for all pathogens except Shigella, for which the highest age-specific average annual population mortality rate was in children <5 years (.2/1 million population). Overall, most deaths (58%; 318) occurred in persons ≥65 years old. Listeria had the highest case fatality rate overall (16.9%), followed by Vibrio (5.8%), Shiga toxin-producing Escherichia coli O157 (0.8%), Salmonella (0.5%), Campylobacter (0.1%), and Shigella (0.1%). CONCLUSIONS: Salmonella and Listeria remain the leading causes of death in the United States due to bacterial pathogens transmitted commonly through food. Most such deaths occurred in persons ≥65 years old, indicating that this age group could benefit from effective food safety interventions.

BACKGROUND: The rate of bacterial meningitis declined by 55% in the United States in the early 1990s, when the Haemophilus influenzae type b (Hib) conjugate vaccine for infants was introduced. More recent prevention measures such as the pneumococcal conjugate vaccine and universal screening of pregnant women for group B streptococcus (GBS) have further changed the epidemiology of bacterial meningitis. METHODS: We analyzed data on cases of bacterial meningitis reported among residents in eight surveillance areas of the Emerging Infections Programs Network, consisting of approximately 17.4 million persons, during 1998-2007. We defined bacterial meningitis as the presence of H. influenzae, Streptococcus pneumoniae, GBS, Listeria monocytogenes, or Neisseria meningitidis in cerebrospinal fluid or other normally sterile site in association with a clinical diagnosis of meningitis. RESULTS: We identified 3188 patients with bacterial meningitis; of 3155 patients for whom outcome data were available, 466 (14.8%) died. The incidence of meningitis changed by -31% (95% confidence interval [CI], -33 to -29) during the surveillance period, from 2.00 cases per 100,000 population (95% CI, 1.85 to 2.15) in 1998-1999 to 1.38 cases per 100,000 population (95% CI 1.27 to 1.50) in 2006-2007. The median age of patients increased from 30.3 years in 1998-1999 to 41.9 years in 2006-2007 (P<0.001 by the Wilcoxon rank-sum test). The case fatality rate did not change significantly: it was 15.7% in 1998-1999 and 14.3% in 2006-2007 (P=0.50). Of the 1670 cases reported during 2003-2007, S. pneumoniae was the predominant infective species (58.0%), followed by GBS (18.1%), N. meningitidis (13.9%), H. influenzae (6.7%), and L. monocytogenes (3.4%). An estimated 4100 cases and 500 deaths from bacterial meningitis occurred annually in the United States during 2003-2007. CONCLUSIONS: The rates of bacterial meningitis have decreased since 1998, but the disease still often results in death. With the success of pneumococcal and Hib conjugate vaccines in reducing the risk of meningitis among young children, the burden of bacterial meningitis is now borne more by older adults. (Funded by the Emerging Infections Programs, Centers for Disease Control and Prevention.).

Antimicrobial and antimotility agents are not recommended for the treatment of Shiga toxin-producing Escherichia coli O157 infection. In our study, many persons with Shiga toxin-producing E. coli O157 infection took antimicrobial (62%) and antimotility agents (32%); 43 (29%) of 146 reported commencing antimicrobial treatment after laboratory confirmation. Efforts are needed to promote practice guidelines.

Mathematical models that estimate the proportion of foodborne illnesses attributable to food commodities at specific points in the food chain may be useful to risk managers and policy makers to formulate public health goals, prioritize interventions, and document the effectiveness of mitigations aimed at reducing illness. Using human surveillance data on laboratory-confirmed Salmonella infections from the Centers for Disease Control and Prevention and Salmonella testing data from U.S. Department of Agriculture Food Safety and Inspection Service's regulatory programs, we developed a point-of-processing foodborne illness attribution model by adapting the Hald Salmonella Bayesian source attribution model. Key model outputs include estimates of the relative proportions of domestically acquired sporadic human Salmonella infections resulting from contamination of raw meat, poultry, and egg products processed in the United States from 1998 through 2003. The current model estimates the relative contribution of chicken (48%), ground beef (28%), turkey (17%), egg products (6%), intact beef (1%), and pork (<1%) across 109 Salmonella serotypes found in food commodities at point of processing. While interpretation of the attribution estimates is constrained by data inputs, the adapted model shows promise and may serve as a basis for a common approach to attribution of human salmonellosis and food safety decision-making in more than one country.

Estimates of foodborne illness can be used to direct food safety policy and interventions. We used data from active and passive surveillance and other sources to estimate that each year 31 major pathogens acquired in the United States caused 9.4 million episodes of foodborne illness (90% credible interval [CrI] 6.6-12.7 million), 55,961 hospitalizations (90% CrI 39,534-75,741), and 1,351 deaths (90% CrI 712-2,268). Most (58%) illnesses were caused by norovirus, followed by nontyphoidal Salmonella spp. (11%), Clostridium perfringens (10%), and Campylobacter spp. (9%). Leading causes of hospitalization were nontyphoidal Salmonella spp. (35%), norovirus (26%), Campylobacter spp. (15%), and Toxoplasma gondii (8%). Leading causes of death were nontyphoidal Salmonella spp. (28%), T. gondii (24%), Listeria monocytogenes (19%), and norovirus (11%). These estimates cannot be compared with prior (1999) estimates to assess trends because different methods were used. Additional data and more refined methods can improve future estimates.

Each year, 31 major known pathogens acquired in the United States caused an estimated 9.4 million episodes of foodborne illness. Additional episodes of illness were caused by unspecified agents, including known agents with insufficient data to estimate agent-specific illness, known agents not yet recognized as causing foodborne illness, substances known to be in food but of unproven pathogenicity, and unknown agents. To estimate these additional illnesses, we used data from surveys, hospital records, and death certificates to estimate illnesses, hospitalizations, and deaths from acute gastroenteritis and subtracted illnesses caused by known gastroenteritis pathogens. If the proportions acquired by domestic foodborne transmission were similar to those for known gastroenteritis pathogens, then an estimated 38.4 million (90% credible interval [CrI] 19.8-61.2 million) episodes of domestically acquired foodborne illness were caused by unspecified agents, resulting in 71,878 hospitalizations (90% CrI 9,924-157,340) and 1,686 deaths (90% CrI 369-3,338).

BACKGROUND: An estimated 450,000 cases of shigellosis occur annually in the United States. Outbreaks have been associated with food, water, child daycare centers, and men who have sex with men. However, for sporadic infections, which account for the majority of cases, risk exposures are poorly characterized. METHODS: Foodborne Diseases Active Surveillance Network (FoodNet) conducts active, laboratory-based shigellosis surveillance in 10 US sites. We interviewed cases with illness onset during 2005 about exposures during the week before symptom onset using a standardized questionnaire. The proportion of patients who denied nonfood risks was used to estimate the burden attributable to foodborne transmission. RESULTS: Overall, 1494 cases were identified. The approximate incidence was 3.9/100,000, with the highest rates among children aged 1-4 years (16.4) and Hispanics (8.4). Of the 929 cases interviewed, 223 (24%) reported international travel in the week before symptom onset. Of the 626 nontraveling cases with complete risk factor information, 298 (48%) reported exposure to daycare or a household member with diarrhea; 99 (16%) reported drinking untreated water or recreational exposure to water; and 16 (3%) reported sexual contact with a person with diarrhea. Two hundred and fifty-nine (41%) denied all nonfood exposures examined. CONCLUSIONS: Sporadic shigellosis is most common among young children and Hispanics. Common exposures include international travel and contact with ill persons or daycare. However, more than one-third of US shigellosis cases annually might be due to food consumed in the United States.

Foodborne illnesses are a substantial health burden in the United States. The Foodborne Diseases Active Surveillance Network (FoodNet) is the principal foodborne disease component of the Centers for Disease Control and Prevention's Emerging Infections Program. FoodNet is a collaborative project among Centers for Disease Control and Prevention, Emerging Infections Program sites, the U.S. Department of Agriculture, and the U.S. Food and Drug Administration. One of FoodNet's main objectives is to monitor changes in the incidence of selected foodborne pathogens. In 1996, FoodNet began active, population-based surveillance for laboratory-diagnosed cases of Campylobacter, Listeria, Salmonella, Shiga toxin-producing E. coli O157, Shigella, Vibrio, and Yersinia infection. Surveillance for cases of Cryptosporidium and Cyclospora infection was added in 1997 and surveillance for non-O157 Shiga toxin-producing E. coli was added in 2000. From 1997 to 2008, the FoodNet surveillance population increased, primarily through the addition of new sites. The increase in the number of FoodNet sites and the size of the population under surveillance as well as the variation in the incidence of infections among sites posed challenges in the selection of the most appropriate method to monitor changes in incidence. To account for variation introduced by changes in population size, a main-effects, log-linear Poisson (negative binomial) regression model was adopted to estimate the magnitude of changes in the incidence of pathogens by comparing current year incidence to reference periods. The article explains how FoodNet uses the negative binomial model to examine changes in incidence over time, describes the reference periods used, explains the graphics used to display results, and discusses future directions in the analysis of trends over time.

BACKGROUND: A number of countries have estimated the prevalence of acute gastroenteritis by asking survey respondents to recall past episodes of diarrhea; however, the recall period used varies between studies. We conducted a survey to examine the effects of 7-day and 1-month recall periods on the estimated annual episodes of acute gastroenteritis. Further, we examine whether asking first about illness in the previous 7 days affects a person's response to a 1-month recall period. METHODS: The Foodborne Diseases Active Surveillance Network (FoodNet) conducted a population-based telephone survey that included asking respondents about the occurrence of gastrointestinal symptoms. From February through April 2007, we randomly split respondents into two groups to examine effect of recall periods and question order. One group was first asked about symptoms in the 7 days before interview and then asked about symptoms in the month before interview. The other group was asked only about symptoms in the month before interview. RESULTS: Overall, the monthly prevalence of acute diarrheal illness (≥3 loose stools in 24-hours, lasting >1 day, or restricting daily activities) was 7.7%. This proportion was consistent among the respondents who were first asked about a 7-day recall period (n = 1436) and those asked only about symptoms in the past month (n = 2132). Extrapolation from the reported 7-day prevalence of 3.1% to an annual rate of 1.6 episodes per person, however, was almost twice the rate of episodes estimated when extrapolating from the month recall period. Similar findings were found with acute gastroenteritis (acute diarrheal illness or vomiting without respiratory symptoms). CONCLUSIONS: First asking respondents about a 7-day recall period did not affect the prevalence of acute gastroenteritis reported for a 1-month recall period. Recall period length did, however, have a major impact on estimates of acute gastroenteritis. Retrospective studies using different recall periods may not be comparable.

Riding in a shopping cart next to raw meat or poultry is a risk factor for Salmonella and Campylobacter infections in infants. To describe the frequency of, and factors associated with, this behavior, we surveyed parents of children aged younger than 3 years in Foodborne Disease Active Surveillance Network sites. We defined exposure as answering yes to one of a series of questions asking if packages of raw meat or poultry were near a child in a shopping cart, or if a child was in the cart basket at the same time as was raw meat or poultry. Among 1,273 respondents, 767 (60%) reported that their children visited a grocery store in the past week and rode in shopping carts. Among these children, 103 (13%) were exposed to raw products. Children who rode in the baskets were more likely to be exposed than were those who rode only in the seats (odds ratio [OR], 17.8; 95% confidence interval [CI], 11.0 to 28.9). In a multivariate model, riding in the basket (OR, 15.5; 95% CI, 9.2 to 26.1), income less than $55,000 (OR, 1.8; 95% CI, 1.0 to 3.1), and Hispanic ethnicity (OR, 2.3; 95% CI, 1.2 to 4.5) were associated with exposure. Our study shows that children can be exposed to raw meat and poultry products while riding in shopping carts. Parents should separate children from raw products and place children in the seats rather than in the baskets of the cart. Retailer use of leak-proof packaging, customer placement of product in a plastic bag and on the rack underneath the cart, use of hand sanitizers and wipes, and consumer education may also be helpful.