Assessing multiple foodborne, waterborne and environmental exposures of healthy people to potential enteric pathogen sources: Effect of age, gender, season, and recall period

Epidemiology and Infection

Volumn 142, Issue 1, 2014, Pages 28-39

  David, J M ^a   Ravel, A ^a   Nesbitt, A ^b   Pintar, K ^b   Pollari, F ^b  

^a UNIVERSITÉ DE MONTRÉAL   (Canada)

^b PUBLIC HEALTH AGENCY OF CANADA   (Canada)

Author keywords

Enteric bacteria; Gastrointestinal infections; Infectious disease epidemiology; Public health; Risk assessment

Indexed keywords

ADOLESCENT; ADULT; AGE; ARTICLE; CHILD; DISEASE DURATION; DISEASE TRANSMISSION; ENVIRONMENTAL DISEASE; ENVIRONMENTAL EXPOSURE; ENVIRONMENTAL IMPACT ASSESSMENT; FEMALE; FOOD CONTAMINATION; HUMAN; INFANT; INFECTION RISK; INTESTINE INFECTION; MALE; MIDDLE AGED; PRESCHOOL CHILD; RISK ASSESSMENT; SEASONAL VARIATION; SEX DIFFERENCE; WATER CONTAMINATION;

EID: 84890121405     PISSN: 09502688     EISSN: 14694409     Source Type: Journal    
DOI: 10.1017/S0950268813000770     Document Type: Article

References (29)

1. Roy SL, Scallan E, Beach MJ. The rate of acute gastrointestinal illness in developed countries. Journal of Water and Health 2006; 4 (Suppl. 2): 31-69
2. Scallan E, et al. Foodborne illness acquired in the United States - major pathogens. Emerging Infectious Diseases 2011; 17: 7-15
3. Tam CC, et al. Longitudinal study of infectious intestinal disease in the UK (IID2 study): Incidence in the community and presenting to general practice. Gut 2011; 134: 119-125
4. Sargeant JM, Majowicz SE, Snelgrove J. The burden of acute gastrointestinal illness in Ontario, Canada, 2005-2006. Epidemiology and Infection 2008; 136: 451-460
5. Taylor J, et al. An outbreak of Salmonella chester infection in Canada: Rare serotype, uncommon exposure, and unusual population demographic facilitate rapid identification of food vehicle. Journal of Food Protection 2012; 75: 738-742
6. Gieraltowski L, et al. Nationwide outbreak of Salmonella Montevideo infections associated with contaminated imported black and red pepper: Warehouse membership cards provide critical clues to identify the source. Epidemiology and Infection. Published online: 4 December 2012. doi:10.1017/ S0950268812001859
7. Batz MB, et al. Attributing illness to food. Emerging Infectious Diseases 2005; 11: 993-999
8. Friedman CR, et al. Risk factors for sporadic Campylobacter infection in the United States: A casecontrol study in FoodNet sites. Clinical Infectious Diseases 2004; 38 Suppl 3: S285-296
9. Pires SM, et al. Attributing the human disease burden of foodborne infections to specific sources. Foodborne Pathogens and Disease 2009; 6: 417-424
10. Anon. Scientific opinion of the Panel on Biological Hazards on a request from EFSA on overview of methods for source attribution for human illness from food borne microbiological hazards. EFSA Journal 2007; 123: 1-16
11. Evers EG, et al. Campylobacter source attribution by exposure assessment. International Journal of Risk Assessment and Management 2008; 8: 174-190
12. Anon. Risk assessment of Campylobacter spp. in broiler chickens: Interpretative summary. 2009 Food and Agriculture Organization of the United Nations/World Health Organization: Geneva, Switzerland, p. 35
13. Vose Consulting. A Quantitative Microbiological Risk Assessment of Campylobacter in the Broiler Meat Chain, 2011. EFSA: Boulder, CO, USA, p. 71
14. Nauta MJ, Jacobs-Reitsma WF, Havelaar AH. A risk assessment model for Campylobacter in broiler meat. Risk Analysis 2007; 27: 845-861
15. Greenacre M. Theory and Applications of Correspondence Analysis. 1984, London: Academic Press
16. Nesbitt A, et al. Food consumption patterns in the Waterloo Region, Ontario, Canada: A cross-sectional telephone survey. BMC Public Health 2008; 8: 370
17. Ravel A, et al. Seasonality in human salmonellosis: Assessment of human activities and chicken contamination as driving factors. Foodborne Pathogens and Disease 2010; 7: 785-794
18. Fleury M, et al. A time series analysis of the relationship of ambient temperature and common bacterial enteric infections in two Canadian provinces. International Journal of Biometeorology 2006; 50: 385- 391
19. Kovats RS, et al. The effect of temperature on food poisoning: A time-series analysis of salmonellosis in ten European countries. Epidemiology and Infection 2004; 132: 443-453
20. Kovats RS, et al. Climate variability and campylobacter infection: An international study. International Journal of Biometeorology 2005: 49: 207-214
21. Meldrum RJ, et al. The seasonality of human campylobacter infection and Campylobacter isolates from fresh, retail chicken in Wales. Epidemiology and Infection 2005; 133: 49-52
22. Hall AJ, et al. The roles of Clostridium difficile and norovirus among gastroenteritis-associated deaths in the United States, 1999-2007. Clinical Infectious Diseases 2012; 55: 216-223
23. Phillips G, et al. Prevalence and characteristics of asymptomatic norovirus infection in the community in England. Epidemiology and Infection 2010; 138: 1454-1458
24. Greer AL, Drews SJ, Fisman DN. Why 'winter' vomiting disease? Seasonality, hydrology, and Norovirus epidemiology in Toronto, Canada. Ecohealth 2009; 6: 192-199
25. Atchison C, Lopman B, Edmunds WJ. Modelling the seasonality of rotavirus disease and the impact of vaccination in England and Wales. Vaccine 2010; 28: 3118-3126
26. Keller SD, et al. Comparison of responses to SF-36 Health Survey questions with one-week and four-week recall periods. Health Services Research 1997; 32: 367-384
27. O'Brien SJ, et al. Methods for determining disease burden and calibrating national surveillance data in the United Kingdom: The second study of infectious intestinal disease in the community (IID2 study). BMC Medical Research Methodology 2010; 10: 39
28. Cantwell LB, et al. The effect of different recall periods on estimates of acute gastroenteritis in the United States, FoodNet Population Survey 2006- 2007. Foodborne Pathogens and Disease 2010; 7: 1225-1228
29. Coughlin SS. Recall bias in epidemiologic studies. Journal of Clinical Epidemiology 1990; 43: 87-91