期刊论文详细信息
BMC Infectious Diseases
Environmental and demographic risk factors for campylobacteriosis: do various geographical scales tell the same story?
Pierre Gosselin2  André Ravel2  Pascal Michel2  Olaf Berke1  Julie Arsenault2 
[1] Department of Population Medicine, University of Guelph, Guelph, Ontario, Canada;Groupe de recherche en épidémiologie des zoonoses et santé publique, Faculté de médecine vétérinaire, Saint-Hyacinthe, Québec, Canada
关键词: Modifiable areal unit problem;    Climate;    Ruminants;    Poultry;    Spatial;    Quebec;    Campylobacteriosis;   
Others  :  1175134
DOI  :  10.1186/1471-2334-12-318
 received in 2011-11-18, accepted in 2012-11-15,  发布年份 2012
PDF
【 摘 要 】

Background

Campylobacter is a common cause of bacterial gastro-enteritis characterized by multiple environmental sources and transmission pathways. Ecological studies can be used to reveal important regional characteristics linked to campylobacteriosis risk, but their results can be influenced by the choice of geographical units of analysis. This study was undertaken to compare the associations between the incidence of campylobacteriosis in Quebec, Canada and various environmental characteristics using seven different sets of geographical units.

Methods

For each set of geographical unit, a conditional autoregressive model was used to model the incidence of reported cases of campylobacteriosis according to environmental (poultry density, ruminant density, slaughterhouse presence, temperature, and precipitation) and demographic (population density, level of education) characteristics. Models were compared in terms of number of significant predictors, differences in direction and magnitude of predictors, and fit of the models.

Results

In general, the number of significant predictors was reduced as the aggregation level increased. More aggregated scales tend to show larger but less precise estimates for all variables, with the exception of slaughterhouse presence. Regional characteristics associated with an increased regional risk of campylobacteriosis, for at least some geographical units, were high ruminant density, high poultry density, high population density, and presence of a large poultry slaughterhouse, whereas a reduction in risk was associated with a lower percentage of people with diplomas, a lower level of precipitation, and warmer temperature. Two clusters of elevated residual risk were observed, with different location and size depending on the geographical unit used.

Conclusions

Overall, our results suggest that the use of municipality or census consolidated subdivision were the most optimal scales for studying environmental determinants of campylobacteriosis at a regional level. This study highlights the need for careful selection and analysis of geographical units when using ecological study designs.

【 授权许可】

   
2012 Arsenault et al.; licensee BioMed Central Ltd.

【 预 览 】
附件列表
Files Size Format View
20150427023829437.pdf 2480KB PDF download
Figure 2. 124KB Image download
Figure 1. 172KB Image download
【 图 表 】

Figure 1.

Figure 2.

【 参考文献 】
  • [1]Public Health Agency of Canada: Notifiable Diseases On-Line. http://dsol-smed.phac-aspc.gc.ca/dsol-smed/ndis/index_e.html webcite
  • [2]Engberg J: Contributions to the epidemiology of Campylobacter infections. A review of clinical and microbiological studies. Dan Med Bull 2006, 53(4):361-389.
  • [3]Evers EG, Van Der Fels-Klerx HJ, Nauta MJ, Schijven JF, Havelaar AH: Campylobacter source attribution by exposure assessment. Int J Risk Assess Manag 2008, 8(1/2):174-190.
  • [4]Vellinga A, Van Loock F: The dioxin crisis as experiment to determine poultry-related Campylobacter enteritis. Emerg Infect Dis 2002, 8(1):19-22.
  • [5]Ekdahl K, Normann B, Andersson Y: Could flies explain the elusive epidemiology of campylobacteriosis? BMC Infect Dis 2005, 5(1):11. BioMed Central Full Text
  • [6]Skelly C, Weinstein P: Pathogen survival trajectories: an eco-environmental approach to the modeling of human campylobacteriosis ecology. Environ Health Perspect 2003, 111(1):19-28.
  • [7]Abulreesh HH, Paget TA, Goulder R: Campylobacter in waterfowl and aquatic environments: incidence and methods of detection. Environ Sci Technol 2006, 40(23):7122-7131.
  • [8]Kassa H, Harrington B, Bisesi MS: Risk of occupational exposure to Cryptosporidium, Giardia, and Campylobacter associated wiih the feces of giant Canada geese. Appl Occup Environ Hyg 2001, 16(9):905-909.
  • [9]Busato A, Hofer D, Lentze T, Gaillard C, Burnens A: Prevalence and infection risks of zoonotic enteropathogenic bacteria in Swiss cow-calf farms. Vet Microbiol 1999, 69(4):251-263.
  • [10]Inglis GD, Kalischuk LD, Busz HW: A survey of Campylobacter species shed in faeces of beef cattle using polymerase chain reaction. Can J Microbiol 2003, 49(11):655-661.
  • [11]Inglis GD, Kalischuk LD, Busz HW, Kastelic JP: Colonization of cattle intestines by Campylobacter jejuni and Campylobacter lanienae. Appl Environ Microbiol 2005, 71(9):5145-5153.
  • [12]Stanley KN, Wallace JS, Currie JE, Diggle PJ, Jones K: Seasonal variation of thermophilic campylobacters in lambs at slaughter. J Appl Microbiol 1998, 84(6):1111-1116.
  • [13]Jones K, Howard S, Wallace JS: Intermittent shedding of thermophilic campylobacters by sheep at pasture. J Appl Microbiol 1999, 86(3):531-536.
  • [14]Wallace JS, Stanley KN, Jones K: The seasonal incidence of thermophilic campylobacters in sheep. In ampylobacters, Helicobacters, and Related Organisms. Edited by Newell DG, Ketley JM, Feldman RA. New York: Plenum publishing corporation; 1997:359-362.
  • [15]Adak GK, Cowden JM, Nicholas S, Evans HS: The Public Health Laboratory Service national case–control study of primary indigenous sporadic cases of Campylobacter infection. Epidemiol Infect 1995, 115(1):15-22.
  • [16]Koenraad PMFJ, Rombouts FM, Notermans SHW: Epidemiological aspects of thermophilic Campylobacter in water-related environments: A review. Water Environ Res 1997, 69(1):52-63.
  • [17]Nygard K, Andersson Y, Rottingen JA, Svensson A, Lindback J, Kistemann T, Giesecke J: Association between environmental risk factors and Campylobacter infections in Sweden. Epidemiol Infect 2004, 132(2):317-325.
  • [18]Fleury M, Charron DF, Holt JD, Allen OB, Maarouf AR: A time series analysis of the relationship of ambient temperature and common bacterial enteric infections in two Canadian provinces. Int J Biometeorol 2006, 50(6):385-391.
  • [19]Louis VR, Gillespie IA, O’Brien SJ, Russek-Cohen E, Pearson AD, Colwell RR: Temperature-driven Campylobacter seasonality in England and Wales. Appl Environ Microbiol 2005, 71(1):85-92.
  • [20]Tam CC, Rodrigues LC, O’Brien SJ, Hajat S: Temperature dependence of reported Campylobacter infection in England, 1989–1999. Epidemiol Infect 2006, 134(1):119-125.
  • [21]Potter RC, Kaneene JB, Gardiner J: A comparison of Campylobacter jejuni enteritis incidence rates in high- and low-poultry-density counties: Michigan 1992–1999. Vector Borne Zoonotic Dis 2002, 2(3):137-143.
  • [22]Sandberg M, Nygard K, Meldal H, Valle PS, Kruse H, Skjerve E: Incidence trend and risk factors for Campylobacter infections in humans in Norway. BMC Publ Health 2006, 6:179. BioMed Central Full Text
  • [23]Green CG, Krause D, Wylie J: Spatial analysis of Campylobacter infection in the Canadian province of Manitoba. Int J Health Geogr 2006, 5(1):2. BioMed Central Full Text
  • [24]Waller LA, Gotway CA: Applied spatial statistics for public health data. Hoboken, New Jersey: John Wiley & Sons Inc; 2004.
  • [25]Wong D: The modifiable areal unit problem (MAUP). In The SAGE handbook of spatial analysis. Edited by Fotheringham AS, Rogerson PA. London: SAGE publications; 2009:105-123.
  • [26]Reynolds HD: The modifiable area unit problem: empirical analysis by statistical simulation. Toronto: University of Toronto; 1998.
  • [27]Gotway CA, Young LJ: Combining incompatible spatial data [Review]. J Am Stat Assoc 2002, 97(458):632-648.
  • [28]Flowerdew R, Manley DJ, Sabel CE: Neighbourhood effects on health: does it matter where you draw the boundaries? Soc Sci Med 2008, 66(6):1241-1255.
  • [29]Fotheringham AS, Wong DWS: The modifiable areal unit problem in multivariate statistical analysis. Environ Plan A 1991, 23:1025-1044.
  • [30]Manley D, Flowerdew R, Steel D: Scales, levels and processes: Studying spatial patterns of British census variables. Computers, Environments and Urban Systems 2006, 30(2):143-160.
  • [31]Arsenault J, Ravel A, Michel P, Berke O, Gosselin P: Do patients with recurrent reported episodes of campylobacteriosis differ from those with a single disease event? BMC Publ Health 2011, 11(1):32.
  • [32]Arsenault J: Épidémiologie spatiale de la campylobactériose au Québec [Spatial epidemiology of campylobacteriosis in Quebec]. Saint-Hyacinthe, Qc, Canada: Université de Montréal; 2010. [PhD thesis]
  • [33]DMTI Spatial Inc: GeoPinpoint Suite version 2008.3, release version 6.4. Canada: Markham (Ontario); 2008.
  • [34]ESRI: ArcGIS Desktop 9.3.1 (ArcInfo). Redlands, CA, USA; 2009.
  • [35]Ministère de l’Agriculture des Pêcheries et de l’Alimentation du Québec: Portrait sommaire de l’industrie de la volaille au Québec [Overview of poultry industry in Quebec]. Canada: Gouvernement du Québec: Direction des politiques commerciales et intergouvernementales, Québec; 2006.
  • [36]Berke O: Choropleth mapping of regional count data of Echinococcus multilocularis among red foxes in Lower Saxony, Germany. Prev Vet Med 2001, 52(2):119-131.
  • [37]Berke O: Exploratory disease mapping: kriging the spatial risk function from regional count data. Int J Health Geogr 2004, 3(1):18. BioMed Central Full Text
  • [38]SAS Institute Inc: SAS version 9.2. NC, USA; [Cary]
  • [39]Ribeiro PJJ, Diggle PJ: geoR: a package for geostatistical analysis. R-NEWS 2001, 1(2):15-18.
  • [40]Bivand R: spdep: Spatial dependence: weighting schemes, statistics and models. R package version 0.5-4. 2010.
  • [41]Kulldorff M, Huang L, Konty K: A scan statistic for continuous data based on the normal probability model. Int J Health Geogr 2009, 8:58. BioMed Central Full Text
  • [42]Park SF: The physiology of Campylobacter species and its relevance to their role as foodborne pathogens. Int J Food Microbiol 2002, 74(3):177-188.
  • [43]Waldenstrom J, Broman T, Carlsson I, Hasselquist D, Achterberg RP, Wagenaar JA, Olsen B: Prevalence of Campylobacter jejuni, Campylobacter lari, and Campylobacter coli in different ecological guilds and taxa of migrating birds. Appl Environ Microbiol 2002, 68(12):5911-5917.
  • [44]Stanley KN, Wallace JS, Jones K: The seasonality of thermophilic campylobacters in beef and dairy cattle. In Campylobacters, Helicobacters, and Related Organisms. Edited by Newell DG, Ketley JM, Feldman RA. New York: Plenum publishing corporation; 1997:163-167.
  • [45]Easton J: Fate and transport of campylobacters in soil arising from farming practices. In Campylobacters, Helicobacters, and Related Organisms. Edited by Newell DG, Ketley JM, Feldman RA. New York: Plenum publishing corporation; 1997:461-465.
  • [46]Korhonen LK, Martikainen PJ: Comparison of the survival of Campylobacter jejuni and Campylobacter coli in culturable form in surface water. Can J Microbiol 1991, 37(7):530-533.
  • [47]Buswell CM, Herlihy YM, Lawrence LM, McGuiggan JT, Marsh PD, Keevil CW, Leach SA: Extended survival and persistence of Campylobacter spp. in water and aquatic biofilms and their detection by immunofluorescent-antibody and -rRNA staining. Appl Environ Microbiol 1998, 64(2):733-741.
  • [48]Thomas C, Hill DJ, Mabey M: Evaluation of the effect of temperature and nutrients on the survival of Campylobacter spp. in water microcosms. J Appl Microbiol 1999, 86(6):1024-1032.
  • [49]Fernandez H, Vergara M, Tapia F: Dessication resistance in thermotolerant Campylobacter species. Infection 1985, 13(4):197.
  • [50]Tam CC, Rodrigues LC, O’Brien SJ: The study of infectious intestinal disease in England: what risk factors for presentation to general practice tell us about potential for selection bias in case–control studies of reported cases of diarrhoea. Int J Epidemiol 2003, 32(1):99-105.
  • [51]Simonsen J, Frisch M, Ethelberg S: Socioeconomic risk factors for bacterial gastrointestinal infections. Epidemiology 2008, 19(2):282-290.
  • [52]Unicomb LE, Dalton CB, Gilbert GL, Becker NG, Patel MS: Age-specific risk factors for sporadic Campylobacter infection in regional Australia. Foodborne Pathog Dis 2008, 5(1):79-85.
  • [53]Ravel A, Nesbitt A, Marshall B, Sittler N, Pollari F: Description and burden of travel-related cases caused by enteropathogens reported in a Canadian community. J Travel Med 2011, 18(1):8-19.
  • [54]Wilson IG: Airborne Campylobacter infection in a poultry worker: case report and review of the literature. Commun Dis Public Health 2004, 7(4):349-353.
  • [55]Höller C: Long-term study of occurrence, distribution and reduction of Campylobacter spp. in the sewage system and wastewater treatment plant of a big town. Water Sci Technol 1988, 20:529-531.
  • [56]Thomas C, Gibson H, Hill DJ, Mabey M: Campylobacterepidemiology: an aquatic perspective. J Appl Microbiol 1999, 85:168S-177S.
  • [57]Clark CG, Taboada E, Grant CC, Blakeston C, Pollari F, Marshall B, Rahn K, Mackinnon J, Daignault D, Pillai D, et al.: Comparison of molecular typing methods useful for detecting clusters of Campylobacter jejuni and C. coli isolates through routine surveillance. J Clin Microbiol 2012, 50(3):798-809.
  • [58]Hennessy TW, Marcus R, Deneen V, Reddy S, Vugia D, Townes J, Bardsley M, Swerdlow D, Angulo FJ: Survey of physician diagnostic practices for patients with acute diarrhea: clinical and public health implications. Clin Infect Dis 2004, 38(Suppl 3):S203-S211.
  • [59]Herikstad H, Yang S, Van Gilder TJ, Vugia D, Hadler J, Blake P, Deneen V, Shiferaw B, Angulo FJ: A population-based estimate of the burden of diarrhoeal illness in the United States: FoodNet, 1996–7. Epidemiol Infect 2002, 129(1):9-17.
  文献评价指标  
  下载次数:5次 浏览次数:21次