Consumer Knowledge, Storage, and Handling Practices Regarding Listeria in Frankfurters and Deli Meats: Results of a Web-Based Survey

2006 ◽  
Vol 69 (7) ◽  
pp. 1630-1639 ◽  
Author(s):  
SHERYL C. CATES ◽  
ROBERTA A. MORALES ◽  
SHAWN A. KARNS ◽  
LEE-ANN JAYKUS ◽  
KATHERINE M. KOSA ◽  
...  
Keyword(s):  
At Risk ◽  
Predictive Models ◽  
Metropolitan Areas ◽  
Demographic Characteristics ◽  
Consumer Knowledge ◽  
Department Of Agriculture ◽  
Consumer Awareness ◽  
Web Based ◽  
Handling Practices ◽  
The U.S

Proper storage and handling of refrigerated ready-to-eat foods can help reduce the risk of listeriosis. A national Web-based survey was conducted to measure consumer awareness and knowledge of Listeria and to estimate the prevalence of the U.S. Department of Agriculture–recommended consumer storage and handling practices for frankfurters and deli meats. The demographic characteristics of consumers who are unaware of Listeria and who do not follow the recommended storage guidelines were also assessed. In addition, predictive models were developed to determine which consumers engage in risky storage practices. Less than half of the consumers surveyed were aware of Listeria, and most of those aware were unable to identify associated food vehicles. Awareness was lower among adults 60 years of age and older, an at-risk population for listeriosis, and individuals with relatively less education and lower incomes. Most households safely stored and prepared frankfurters. Most households stored unopened packages of vacuum-packed deli meats in the refrigerator within the U.S. Department of Agriculture–recommended storage guidelines (≤14 days); however, many stored opened packages of vacuum-packed deli meats and freshly sliced deli meats for longer than the recommended time (≤5 days). Men, more-educated individuals, and individuals living in metropolitan areas were more likely to engage in risky storage practices. This study identified the need to develop targeted educational initiatives on listeriosis prevention.

Consumer Home Refrigeration Practices: Results of a Web-Based Survey

2007 ◽  
Vol 70 (7) ◽  
pp. 1640-1649 ◽  
Author(s):  
KATHERINE M. KOSA ◽  
SHERYL C. CATES ◽  
SHAWN KARNS ◽  
SANDRIA L. GODWIN ◽  
DELORES CHAMBERS
Keyword(s):  
Older Adults ◽  
Food Safety ◽  
Pregnant Women ◽  
Bacterial Growth ◽  
Quality And Safety ◽  
Educational Materials ◽  
Department Of Agriculture ◽  
Web Based ◽  
Nationally Representative ◽  
The U.S

To reduce bacterial growth and to ensure the quality and safety of food products, the U.S. Department of Agriculture and the U.S. Food and Drug Administration advise consumers to clean their refrigerators regularly, use a refrigerator thermometer, and keep refrigerator temperatures at 40°F (4.4°C) or below. We conducted a nationally representative Web-enabled survey (n = 2,060) to collect data on refrigerator thermometer ownership, home refrigerator temperatures, and the frequency of home refrigerator cleaning. We stratified the sample to provide results for pregnant women, older adults (60 years or older), and the remaining population. About half of all respondents had cleaned their refrigerators at least 1 month before the survey. Only 11% of all respondents had a thermometer in their refrigerator before the survey. Older adults (77.5%) were more likely than the remaining population (70.4%) to have their refrigerators at the recommended temperature (P < 0.01). Older adults who were not married and who lived alone were less likely to have refrigerator thermometers and to have their refrigerators at a recommended temperature (P < 0.05). For all respondents, those who had previously owned a refrigerator thermometer were more likely to have their refrigerators at the recommended temperature than were respondents who did not previously own a thermometer (P < 0.01). Food safety educators can use the survey findings and results of previous research to target educational materials and help consumers, especially those at risk for listeriosis, to safely store refrigerated foods at home.

Validation of Predictive Mathematical Models Describing the Growth of Escherichia coli O157:H7 in Raw Ground Beef

1996 ◽  
Vol 59 (12) ◽  
pp. 1331-1335 ◽  
Author(s):  
ISABEL WALLS ◽  
VIRGINIA N. SCOTT
Keyword(s):  
Escherichia Coli ◽  
Predictive Models ◽  
Ground Beef ◽  
Escherichia Coli O157 ◽  
Growth Data ◽  
Department Of Agriculture ◽  
Gompertz Equation ◽  
Temperature Requirements ◽  
Inspection Service ◽  
The U.S

The growth of Escherichia coli O157:H7 in raw ground beef was investigated at 12°C, 20°C, and 35°C at pH 5.7 (unadjusted) and adjusted to pH 6.3 to 6.4. These growth data were fitted to the Gompertz equation and the resulting growth kinetics were compared with predictions from the U.S. Department of Agriculture Pathogen Modeling Program. Close agreement with the model was obtained at pH 5.7, but at pH 6.4, growth was more rapid than predicted. The U.S. Department of Agriculture Food Safety and Inspection Service has used this predictive model for developing proposed regulations on time-temperature requirements for carcass cooling. As there may be considerable differences in the microenvironment of raw ground beef and a beef carcass, the validity of using predictive models for estimating growth rates on a carcass should be determined by performing growth studies on carcass surfaces.

A Web Based Interactive Tool to Enhance Schools' Capacity to Aid at-Risk Students

PEDIATRICS ◽  
2016 ◽  
Vol 137 (Supplement 3) ◽  
pp. 110A-110A
Author(s):  
Eliot E. Goldman ◽  
Cyrille Adam ◽  
Rachel J. Goldman
Keyword(s):  
At Risk ◽  
At Risk Students ◽  
Web Based ◽  
Interactive Tool

scholarly journals 1717. Relationship between Neighborhood Census-tract Level Poverty and Respiratory Syncytial Virus (RSV)-associated Hospitalizations in U.S. adults, 2015-2017

2020 ◽  
Vol 7 (Supplement_1) ◽  
pp. S842-S843
Author(s):  
Jenna Holmen ◽  
Art Reingold ◽  
Erica Bye ◽  
Lindsey Kim ◽  
Evan J Anderson ◽  
...  
Keyword(s):  
Incidence Rate ◽  
Census Tract ◽  
Case Fatality ◽  
Demographic Characteristics ◽  
Emerging Infections ◽  
Poverty Level ◽  
Catchment Areas ◽  
Syncytial Virus ◽  
Four Levels ◽  
The U.S

Abstract Background In the U.S., RSV is increasingly recognized as a cause of hospitalization for adults with respiratory illness. In adults > 50 years of age, it accounts for up to 12% of medically-attended acute respiratory illnesses and has a case fatality proportion of ~ 6–8%. Poverty can have important influences on health on both the individual level as well as the community level. Few studies have evaluated the relationship of RSV and poverty level, and no identified studies have evaluated this relationship among adults. We evaluated the incidence of RSV-associated hospitalizations in adults across multiple sites in the U.S. by census-tract (CT) level poverty. Methods Medical record data abstraction was conducted for all adults with a laboratory-confirmed RSV infection admitted to a hospital within the Centers for Disease Control and Prevention’s Emerging Infections Program catchment areas within California, Georgia, Maryland, Minnesota, New York, and Tennessee during the 2015–2017 RSV seasons (October-April). Patient addresses were geocoded to their corresponding CT. CTs were divided into four levels of poverty, as selected in prior publications, based on American Community Survey data of percentage of people living below the poverty level: 0–4.9%, 5–9.9%, 10-19.9%, and ³20%. Incidence rates were calculated by dividing the number of RSV cases in each CT poverty-level (numerator) by the number of adults living in each CT poverty level (denominator), as determined from the 2010 US census, and standardized for age. Results There were 1713 RSV case-patients with demographic characteristics (Table 1). The incidence of RSV-associated hospitalizations of adults increased with increasing CT level poverty (Figure 1 and Table 2). The risk of RSV-associated hospitalization was 2.58 times higher in census tracts with the highest (20%) versus the lowest (< 5%) percentages of individuals living below the poverty level. Table 1: Demographic characteristics of adults with an RSV-associated hospitalization, 2015-2017. Figure 1. Age-adjusted incidence rate of RSV-associated hospitalizations of adults by census-tract poverty level, 2015-2017 Table 2. Incidence rate ratios for RSV-associated hospitalizations of adults by census-tract poverty level, 2015-2017. Conclusion The incidence rate of RSV-associated hospitalization in adults appears to have a positive association with increasing CT level of poverty; however, this trend reached significance only among cases living in CTs with higher percentages of poverty (≥ 10%). Disclosures Evan J. Anderson, MD, Sanofi Pasteur (Scientific Research Study Investigator)

scholarly journals Estimating a global demand model for soybean traffic through the Panama Canal

2021 ◽  
Vol 6 (1) ◽  
Author(s):  
Javier Ho ◽  
Paul Bernal
Keyword(s):  
Pacific Northwest ◽  
Least Square ◽  
Panama Canal ◽  
Demand Model ◽  
Department Of Agriculture ◽  
Explanatory Variables ◽  
Ordinary Least Square ◽  
Global Demand ◽  
Alternative Routes ◽  
The U.S

AbstractThis study attempts to fit a global demand model for soybean traffic through the Panama Canal using Ordinary Least Square. Most of the soybean cargo through the interoceanic waterway is loaded on the U.S. Gulf and East Coast ports -mainly destined to East Asia, especially China-, and represented about 34% of total Panama Canal grain traffic between fiscal years 2010–19. To estimate the global demand model for soybean traffic, we are considering explanatory variables such as effective toll rates through the Panama Canal, U.S. Gulf- Asia and U.S. Pacific Northwest- Asia freight rates, Baltic Dry Index, bunker costs, soybean export inspections from the U.S. Gulf and Pacific Northwest, U.S. Gulf soybean basis levels, Brazil’s soybean exports and average U.S. dollar index. As part of the research, we are pursuing the estimation of the toll rate elasticity of vessels transporting soybeans via the Panama Canal. Data come mostly from several U.S. Department of Agriculture sources, Brazil’s Secretariat of Foreign Trade (SECEX) and from Panama Canal transit information. Finally, after estimation of the global demand model for soybean traffic, we will discuss the implications for future soybean traffic through the waterway, evaluating alternative routes and sources for this trade.

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