Relationship Between Census Tract–Level Poverty and Domestically Acquired Salmonella Incidence: Analysis of Foodborne Diseases Active Surveillance Network Data, 2010–2016
Abstract Background The relationships between socioeconomic status and domestically acquired salmonellosis and leading Salmonella serotypes are poorly understood. Methods We analyzed surveillance data from laboratory-confirmed cases of salmonellosis from 2010–2016 for all 10 Foodborne Disease Active...
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| Veröffentlicht in: | The Journal of infectious diseases 2020-10, Vol.222 (8), p.1405-1412 |
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| creator | Hadler, James L Clogher, Paula Libby, Tanya Wilson, Elisha Oosmanally, Nadine Ryan, Patricia Magnuson, Luke Lathrop, Sarah Mcguire, Suzanne Cieslak, Paul Fankhauser, Melissa Ray, Logan Geissler, Aimee Hurd, Sharon |
| description | Abstract
Background
The relationships between socioeconomic status and domestically acquired salmonellosis and leading Salmonella serotypes are poorly understood.
Methods
We analyzed surveillance data from laboratory-confirmed cases of salmonellosis from 2010–2016 for all 10 Foodborne Disease Active Surveillance Network (FoodNet) sites, having a catchment population of 47.9 million. Case residential data were geocoded, linked to census tract poverty level, and then categorized into 4 groups according to census tract poverty level. After excluding those reporting international travel before illness onset, age-specific and age-adjusted salmonellosis incidence rates were calculated for each census tract poverty level, overall and for each of the 10 leading serotypes.
Results
Of 52 821geocodable Salmonella infections (>96%), 48 111 (91.1%) were domestically acquired. Higher age-adjusted incidence occurred with higher census tract poverty level (P < .001; relative risk for highest [≥20%] vs lowest [ |
| doi_str_mv | 10.1093/infdis/jiz605 |
| format | Article |
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Background
The relationships between socioeconomic status and domestically acquired salmonellosis and leading Salmonella serotypes are poorly understood.
Methods
We analyzed surveillance data from laboratory-confirmed cases of salmonellosis from 2010–2016 for all 10 Foodborne Disease Active Surveillance Network (FoodNet) sites, having a catchment population of 47.9 million. Case residential data were geocoded, linked to census tract poverty level, and then categorized into 4 groups according to census tract poverty level. After excluding those reporting international travel before illness onset, age-specific and age-adjusted salmonellosis incidence rates were calculated for each census tract poverty level, overall and for each of the 10 leading serotypes.
Results
Of 52 821geocodable Salmonella infections (>96%), 48 111 (91.1%) were domestically acquired. Higher age-adjusted incidence occurred with higher census tract poverty level (P < .001; relative risk for highest [≥20%] vs lowest [<5%] census tract poverty level, 1.37). Children <5 years old had the highest relative risk (2.07). Although this relationship was consistent by race/ethnicity and by serotype, it was not present in 5 FoodNet sites or among those aged 18–49 years.
Conclusion
Children and older adults living in higher-poverty census tracts have had a higher incidence of domestically acquired salmonellosis. There is a need to understand socioeconomic status differences for risk factors for domestically acquired salmonellosis by age group and FoodNet site to help focus prevention efforts.
Analysis of 2010–2016 Foodborne Diseases Active Surveillance Network (FoodNet) surveillance data found an association between higher age-adjusted incidence of laboratory-confirmed domestically acquired salmonellosis and higher census tract poverty levels, which was strongest for <5-year-olds but inconsistent across FoodNet sites.</description><identifier>ISSN: 0022-1899</identifier><identifier>EISSN: 1537-6613</identifier><identifier>DOI: 10.1093/infdis/jiz605</identifier><identifier>PMID: 31758182</identifier><language>eng</language><publisher>US: Oxford University Press</publisher><subject>Age ; Census ; Censuses ; Children ; Community Networks - organization & administration ; Community Networks - statistics & numerical data ; Foodborne diseases ; Foodborne Diseases - epidemiology ; Foodborne Diseases - microbiology ; Humans ; Incidence ; Population Surveillance ; Poverty ; Poverty - statistics & numerical data ; Risk Factors ; Salmonella ; Salmonella - classification ; Salmonella - isolation & purification ; Salmonella Infections - epidemiology ; Salmonella Infections - microbiology ; Salmonellosis ; Serogroup ; Serotypes ; Socioeconomic factors ; Surveillance ; United States - epidemiology</subject><ispartof>The Journal of infectious diseases, 2020-10, Vol.222 (8), p.1405-1412</ispartof><rights>Published by Oxford University Press for the Infectious Diseases Society of America 2019. This work is written by (a) US Government employee(s) and is in the public domain in the US. 2019</rights><rights>Published by Oxford University Press for the Infectious Diseases Society of America 2019. This work is written by (a) US Government employee(s) and is in the public domain in the US.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c393t-acb0f1ccfcc82e392f34f1f2d39b29ec263c8fd8261979528d673a0d5d80cef83</citedby><cites>FETCH-LOGICAL-c393t-acb0f1ccfcc82e392f34f1f2d39b29ec263c8fd8261979528d673a0d5d80cef83</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,1584,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31758182$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Hadler, James L</creatorcontrib><creatorcontrib>Clogher, Paula</creatorcontrib><creatorcontrib>Libby, Tanya</creatorcontrib><creatorcontrib>Wilson, Elisha</creatorcontrib><creatorcontrib>Oosmanally, Nadine</creatorcontrib><creatorcontrib>Ryan, Patricia</creatorcontrib><creatorcontrib>Magnuson, Luke</creatorcontrib><creatorcontrib>Lathrop, Sarah</creatorcontrib><creatorcontrib>Mcguire, Suzanne</creatorcontrib><creatorcontrib>Cieslak, Paul</creatorcontrib><creatorcontrib>Fankhauser, Melissa</creatorcontrib><creatorcontrib>Ray, Logan</creatorcontrib><creatorcontrib>Geissler, Aimee</creatorcontrib><creatorcontrib>Hurd, Sharon</creatorcontrib><title>Relationship Between Census Tract–Level Poverty and Domestically Acquired Salmonella Incidence: Analysis of Foodborne Diseases Active Surveillance Network Data, 2010–2016</title><title>The Journal of infectious diseases</title><addtitle>J Infect Dis</addtitle><description>Abstract
Background
The relationships between socioeconomic status and domestically acquired salmonellosis and leading Salmonella serotypes are poorly understood.
Methods
We analyzed surveillance data from laboratory-confirmed cases of salmonellosis from 2010–2016 for all 10 Foodborne Disease Active Surveillance Network (FoodNet) sites, having a catchment population of 47.9 million. Case residential data were geocoded, linked to census tract poverty level, and then categorized into 4 groups according to census tract poverty level. After excluding those reporting international travel before illness onset, age-specific and age-adjusted salmonellosis incidence rates were calculated for each census tract poverty level, overall and for each of the 10 leading serotypes.
Results
Of 52 821geocodable Salmonella infections (>96%), 48 111 (91.1%) were domestically acquired. Higher age-adjusted incidence occurred with higher census tract poverty level (P < .001; relative risk for highest [≥20%] vs lowest [<5%] census tract poverty level, 1.37). Children <5 years old had the highest relative risk (2.07). Although this relationship was consistent by race/ethnicity and by serotype, it was not present in 5 FoodNet sites or among those aged 18–49 years.
Conclusion
Children and older adults living in higher-poverty census tracts have had a higher incidence of domestically acquired salmonellosis. There is a need to understand socioeconomic status differences for risk factors for domestically acquired salmonellosis by age group and FoodNet site to help focus prevention efforts.
Analysis of 2010–2016 Foodborne Diseases Active Surveillance Network (FoodNet) surveillance data found an association between higher age-adjusted incidence of laboratory-confirmed domestically acquired salmonellosis and higher census tract poverty levels, which was strongest for <5-year-olds but inconsistent across FoodNet sites.</description><subject>Age</subject><subject>Census</subject><subject>Censuses</subject><subject>Children</subject><subject>Community Networks - organization & administration</subject><subject>Community Networks - statistics & numerical data</subject><subject>Foodborne diseases</subject><subject>Foodborne Diseases - epidemiology</subject><subject>Foodborne Diseases - microbiology</subject><subject>Humans</subject><subject>Incidence</subject><subject>Population Surveillance</subject><subject>Poverty</subject><subject>Poverty - statistics & numerical data</subject><subject>Risk Factors</subject><subject>Salmonella</subject><subject>Salmonella - classification</subject><subject>Salmonella - isolation & purification</subject><subject>Salmonella Infections - epidemiology</subject><subject>Salmonella Infections - microbiology</subject><subject>Salmonellosis</subject><subject>Serogroup</subject><subject>Serotypes</subject><subject>Socioeconomic factors</subject><subject>Surveillance</subject><subject>United States - epidemiology</subject><issn>0022-1899</issn><issn>1537-6613</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkc1uEzEcxK0K1Kalx16RJS4cWOqP7K7NLSQtVIoK6sd55dh_CwfHTu3doHDiHXiPPhRPgtEWrpzm8pvRjAahM0reUiL5uQvWuHy-dt8bUh-gCa15WzUN5c_QhBDGKiqkPELHOa8JIVPetIfoiNO2FlSwCXq8Aa96F0P-4rb4PfTfAAKeQ8hDxndJ6f7Xj59L2IHHn-MOUr_HKhi8iBvIvdPK-z2e6YfBJTD4VvlNDOC9wldBOwNBwzs8C8rvs8s4WnwZo1nFFAAvXAaVIRd373aAb4e0A1esxYOvS4-YvuKF6tUbzAglpUWR5gV6bpXPcPqkJ-j-8uJu_rFafvpwNZ8tK80l7yulV8RSra3WggGXzPKppZYZLldMgmYN18IawRoqW1kzYZqWK2JqI4gGK_gJejXmblN8GMrUbh2HVIbkjk1bLlhNKS1UNVI6xZwT2G6b3EalfUdJ9-edbnynG98p_Mun1GG1AfOP_ntHAV6PQBy2_8n6Dentnyc</recordid><startdate>20201015</startdate><enddate>20201015</enddate><creator>Hadler, James L</creator><creator>Clogher, Paula</creator><creator>Libby, Tanya</creator><creator>Wilson, Elisha</creator><creator>Oosmanally, Nadine</creator><creator>Ryan, Patricia</creator><creator>Magnuson, Luke</creator><creator>Lathrop, Sarah</creator><creator>Mcguire, Suzanne</creator><creator>Cieslak, Paul</creator><creator>Fankhauser, Melissa</creator><creator>Ray, Logan</creator><creator>Geissler, Aimee</creator><creator>Hurd, Sharon</creator><general>Oxford University Press</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>K9.</scope><scope>NAPCQ</scope></search><sort><creationdate>20201015</creationdate><title>Relationship Between Census Tract–Level Poverty and Domestically Acquired Salmonella Incidence: Analysis of Foodborne Diseases Active Surveillance Network Data, 2010–2016</title><author>Hadler, James L ; Clogher, Paula ; Libby, Tanya ; Wilson, Elisha ; Oosmanally, Nadine ; Ryan, Patricia ; Magnuson, Luke ; Lathrop, Sarah ; Mcguire, Suzanne ; Cieslak, Paul ; Fankhauser, Melissa ; Ray, Logan ; Geissler, Aimee ; Hurd, Sharon</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c393t-acb0f1ccfcc82e392f34f1f2d39b29ec263c8fd8261979528d673a0d5d80cef83</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Age</topic><topic>Census</topic><topic>Censuses</topic><topic>Children</topic><topic>Community Networks - organization & administration</topic><topic>Community Networks - statistics & numerical data</topic><topic>Foodborne diseases</topic><topic>Foodborne Diseases - epidemiology</topic><topic>Foodborne Diseases - microbiology</topic><topic>Humans</topic><topic>Incidence</topic><topic>Population Surveillance</topic><topic>Poverty</topic><topic>Poverty - statistics & numerical data</topic><topic>Risk Factors</topic><topic>Salmonella</topic><topic>Salmonella - classification</topic><topic>Salmonella - isolation & purification</topic><topic>Salmonella Infections - epidemiology</topic><topic>Salmonella Infections - microbiology</topic><topic>Salmonellosis</topic><topic>Serogroup</topic><topic>Serotypes</topic><topic>Socioeconomic factors</topic><topic>Surveillance</topic><topic>United States - epidemiology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Hadler, James L</creatorcontrib><creatorcontrib>Clogher, Paula</creatorcontrib><creatorcontrib>Libby, Tanya</creatorcontrib><creatorcontrib>Wilson, Elisha</creatorcontrib><creatorcontrib>Oosmanally, Nadine</creatorcontrib><creatorcontrib>Ryan, Patricia</creatorcontrib><creatorcontrib>Magnuson, Luke</creatorcontrib><creatorcontrib>Lathrop, Sarah</creatorcontrib><creatorcontrib>Mcguire, Suzanne</creatorcontrib><creatorcontrib>Cieslak, Paul</creatorcontrib><creatorcontrib>Fankhauser, Melissa</creatorcontrib><creatorcontrib>Ray, Logan</creatorcontrib><creatorcontrib>Geissler, Aimee</creatorcontrib><creatorcontrib>Hurd, Sharon</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Premium</collection><jtitle>The Journal of infectious diseases</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hadler, James L</au><au>Clogher, Paula</au><au>Libby, Tanya</au><au>Wilson, Elisha</au><au>Oosmanally, Nadine</au><au>Ryan, Patricia</au><au>Magnuson, Luke</au><au>Lathrop, Sarah</au><au>Mcguire, Suzanne</au><au>Cieslak, Paul</au><au>Fankhauser, Melissa</au><au>Ray, Logan</au><au>Geissler, Aimee</au><au>Hurd, Sharon</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Relationship Between Census Tract–Level Poverty and Domestically Acquired Salmonella Incidence: Analysis of Foodborne Diseases Active Surveillance Network Data, 2010–2016</atitle><jtitle>The Journal of infectious diseases</jtitle><addtitle>J Infect Dis</addtitle><date>2020-10-15</date><risdate>2020</risdate><volume>222</volume><issue>8</issue><spage>1405</spage><epage>1412</epage><pages>1405-1412</pages><issn>0022-1899</issn><eissn>1537-6613</eissn><abstract>Abstract
Background
The relationships between socioeconomic status and domestically acquired salmonellosis and leading Salmonella serotypes are poorly understood.
Methods
We analyzed surveillance data from laboratory-confirmed cases of salmonellosis from 2010–2016 for all 10 Foodborne Disease Active Surveillance Network (FoodNet) sites, having a catchment population of 47.9 million. Case residential data were geocoded, linked to census tract poverty level, and then categorized into 4 groups according to census tract poverty level. After excluding those reporting international travel before illness onset, age-specific and age-adjusted salmonellosis incidence rates were calculated for each census tract poverty level, overall and for each of the 10 leading serotypes.
Results
Of 52 821geocodable Salmonella infections (>96%), 48 111 (91.1%) were domestically acquired. Higher age-adjusted incidence occurred with higher census tract poverty level (P < .001; relative risk for highest [≥20%] vs lowest [<5%] census tract poverty level, 1.37). Children <5 years old had the highest relative risk (2.07). Although this relationship was consistent by race/ethnicity and by serotype, it was not present in 5 FoodNet sites or among those aged 18–49 years.
Conclusion
Children and older adults living in higher-poverty census tracts have had a higher incidence of domestically acquired salmonellosis. There is a need to understand socioeconomic status differences for risk factors for domestically acquired salmonellosis by age group and FoodNet site to help focus prevention efforts.
Analysis of 2010–2016 Foodborne Diseases Active Surveillance Network (FoodNet) surveillance data found an association between higher age-adjusted incidence of laboratory-confirmed domestically acquired salmonellosis and higher census tract poverty levels, which was strongest for <5-year-olds but inconsistent across FoodNet sites.</abstract><cop>US</cop><pub>Oxford University Press</pub><pmid>31758182</pmid><doi>10.1093/infdis/jiz605</doi><tpages>8</tpages><oa>free_for_read</oa></addata></record> |
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| ispartof | The Journal of infectious diseases, 2020-10, Vol.222 (8), p.1405-1412 |
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| source | MEDLINE; Oxford University Press Journals All Titles (1996-Current); Alma/SFX Local Collection |
| subjects | Age Census Censuses Children Community Networks - organization & administration Community Networks - statistics & numerical data Foodborne diseases Foodborne Diseases - epidemiology Foodborne Diseases - microbiology Humans Incidence Population Surveillance Poverty Poverty - statistics & numerical data Risk Factors Salmonella Salmonella - classification Salmonella - isolation & purification Salmonella Infections - epidemiology Salmonella Infections - microbiology Salmonellosis Serogroup Serotypes Socioeconomic factors Surveillance United States - epidemiology |
| title | Relationship Between Census Tract–Level Poverty and Domestically Acquired Salmonella Incidence: Analysis of Foodborne Diseases Active Surveillance Network Data, 2010–2016 |
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