The role of neighborhood level socioeconomic characteristics in Salmonella infections in Michigan (1997–2007): Assessment using geographic information system

Younus, Muhammad; Hartwick, Edward; Siddiqi, Azfar A.; Wilkins, Melinda J.; Davies, H. Dele; Rahbar, Mohammad H.; Funk, Julie A.; Saeed, Mahdi

doi:10.1186/1476-072x-6-56

Cited by 39 publications

(55 citation statements)

References 26 publications

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“…L'écologie urbaine et les comportements des populations sont les principaux composants à étudier afin de caractériser l'exposition des populations (Ruiz, 2004 ;Thammapalo, 2005). Toutes les études menées dans ce sens ne démontrent pas systématiquement l'impact de ces facteurs environnementaux, mais elles mettent en avant la complexité des interactions entre variables, la difficulté de définition d'une échelle géographique pertinente pour l'analyse des données et la variabilité des comportements individuels à risque (Younus, 2007 ;Onwujeke, 2005 (Renault, 2007). De janvier à août 2005, 2 997 enquêtes géoréférencées ont été réalisées.…”

Section: Les Effets De Contexte à La Réunionunclassified

L'environnement socio-spatial comme facteur d'émergence des maladies infectieuses

Taglioni¹,

Dehecq²

2009

echogeo

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Parmi le grand nombre possible d’aléas dans le sud-ouest de l'océan Indien (cyclones, pluies torrentielles, volcanisme, tsunami, maladies infectieuses …) certains sont plus dévastateurs et présents que d'autres. L'épidémie de chikungunya, qui s'est déroulée de 2004 à 2006, est sans doute l'événement majeur de santé publique qui a marqué les hommes, les sociétés et les esprits aussi. Cette épidémie a touché les Etats et territoires de la région avec des prévalences de 25 à 60 %. Pour essayer de caractériser les contours de la vulnérabilité et déterminer des effets de contexte nous avons mené une analyse des niveaux de développement humain, social et sanitaire des pays concernés. S'il est établi que les facteurs d'émergence à l'échelle régionale sont très largement liés à des variables socio-spatiales néanmoins, à aléa égal le risque n’est pas proportionnellement plus important dans les pays réputés les plus vulnérables. A l'échelle de La Réunion, une analyse des données de l'environnement socio-spatial et épidémiologique, avec près de 3 000 cas géoréférencés durant la première phase de l'épidémie, permet d'établir les principaux quartiers à risques de l'île.

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Section: Les Effets De Contexte à La Réunionunclassified

L'environnement socio-spatial comme facteur d'émergence des maladies infectieuses

Taglioni¹,

Dehecq²

2009

echogeo

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“…Studies have ranged from analysis of geographic variation in the use of surgical procedures (17) and prevalence of drug use across school districts (9), to the examination of the relationship between ethnicity, low birth weight, and area socioeconomic status (SES) (24) and tracking movement of the AIDS epidemic (21). GIS has had only limited use in research of food safety and foodborne illness (FBI) when compared with other areas of public health research (11,14,38). Younus et al (38) used GIS technology to examine the role of neighborhood SES on rates of Salmonella infections in Michigan over a 10-year period.…”

mentioning

confidence: 99%

Use of Geographic Information Systems Technology to Track Critical Health Code Violations in Retail Facilities Available to Populations of Different Socioeconomic Status and Demographics

Darcey

Quinlan

2011

Journal of Food Protection

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Research shows that community socioeconomic status (SES) predicts, based on food service types available, whether a population has access to healthy food. It is not known, however, if a relationship exists between SES and risk for foodborne illness (FBI) at the community level. Geographic information systems (GIS) give researchers the ability to pinpoint health indicators to specific geographic locations and detect resulting environmental gradients. It has been used extensively to characterize the food environment, with respect to access to healthy foods. This research investigated the utility of GIS in determining whether community SES and/or demographics relate to access to safe food, as measured by food service critical health code violations (CHV) as a proxy for risk for FBI. Health inspection records documenting CHV for 10,859 food service facilities collected between 2005 and 2008 in Philadelphia, PA, were accessed. Using an overlay analysis through GIS, CHV were plotted over census tracts of the corresponding area. Census tracts (n = 368) were categorized into quintiles, based on poverty level. Overall, food service facilities in higher poverty areas had a greater number of facilities (with at least one CHV) and had more frequent inspections than facilities in lower poverty areas. The facilities in lower poverty areas, however, had a higher average number of CHV per inspection. Analysis of CHV rates in census tracts with high concentrations of minority populations found Hispanic facilities had more CHV than other demographics, and Hispanic and African American facilities had fewer days between inspections. This research demonstrates the potential for utilization of GIS mapping for tracking risks for FBI. Conversely, it sheds light on the subjective nature of health inspections, and indicates that underlying factors might be affecting inspection frequency and identification of CHV, such that CHV might not be a true proxy for risk for FBI.

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“…Hedberg et al, in the United States, studied the differential characteristics between restaurants in which outbreaks did and did not occur, and found that only a qualification in kitchen management that included training in food hygiene influenced the results (Hedberg et al, 2006). An ecological study by Younus et al also found that the educational level influences the appearance of cases of gastroenteritis due to Salmonella partly due to greater discretionary income which enables eating outside the home more frequently (Younus et al, 2007). A study of individuals in Denmark by Simonsen, Frisch, and Ethelberg (2008) also found an association between higher socioeconomic level and specific enteric infections such as Salmonella, Campylobacter or Yersinia.…”

Section: Discussionmentioning

confidence: 95%

Sociodemographic inequalities and outbreaks of foodborne diseases: An ecologic study

et al. 2010

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The role of neighborhood level socioeconomic characteristics in Salmonella infections in Michigan (1997–2007): Assessment using geographic information system

Cited by 39 publications

References 26 publications

L'environnement socio-spatial comme facteur d'émergence des maladies infectieuses

L'environnement socio-spatial comme facteur d'émergence des maladies infectieuses

Use of Geographic Information Systems Technology to Track Critical Health Code Violations in Retail Facilities Available to Populations of Different Socioeconomic Status and Demographics

Sociodemographic inequalities and outbreaks of foodborne diseases: An ecologic study

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