Variations of Invasive Salmonella Infections by Population Size in Asante Akim North Municipal, Ghana

Background. The Typhoid Fever Surveillance in Africa Program (TSAP) estimated adjusted incidence rates (IRs) for Salmonella enterica serovar Typhi and invasive nontyphoidal S. enterica serovars (iNTS) of > 100 cases per 100 000 person-years of observation (PYO) for children aged 32 000 inhabitant...

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Veröffentlicht in:Clinical infectious diseases 2016-03, Vol.62 (suppl 1), p.S17-S22
Hauptverfasser: Espinoza, Ligia M., Nichols, Chelsea, Adu-Sarkodie, Yaw, Al-Emran, Hassan M., Baker, Stephen, Clemens, John D., Dekker, Denise Myriam, Eibach, Daniel, Krumkamp, Ralf, Boahen, Kennedy, Im, Justin, Jaeger, Anna, von Kalckreuth, Vera, Pak, Gi Deok, Panzner, Ursula, Park, Se Eun, Park, Jin Kyung, Sarpong, Nimako, Schütt-Gerowitt, Heidi, Toy, Trevor, Wierzba, Thomas F., Marks, Florian, May, Jürgen
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container_issue suppl 1
container_start_page S17
container_title Clinical infectious diseases
container_volume 62
creator Espinoza, Ligia M.
Nichols, Chelsea
Adu-Sarkodie, Yaw
Al-Emran, Hassan M.
Baker, Stephen
Clemens, John D.
Dekker, Denise Myriam
Eibach, Daniel
Krumkamp, Ralf
Boahen, Kennedy
Im, Justin
Jaeger, Anna
von Kalckreuth, Vera
Pak, Gi Deok
Panzner, Ursula
Park, Se Eun
Park, Jin Kyung
Sarpong, Nimako
Schütt-Gerowitt, Heidi
Toy, Trevor
Wierzba, Thomas F.
Marks, Florian
May, Jürgen
description Background. The Typhoid Fever Surveillance in Africa Program (TSAP) estimated adjusted incidence rates (IRs) for Salmonella enterica serovar Typhi and invasive nontyphoidal S. enterica serovars (iNTS) of > 100 cases per 100 000 person-years of observation (PYO) for children aged 32 000 inhabitants were considered urban; towns with populations
doi_str_mv 10.1093/cid/civ787
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The Typhoid Fever Surveillance in Africa Program (TSAP) estimated adjusted incidence rates (IRs) for Salmonella enterica serovar Typhi and invasive nontyphoidal S. enterica serovars (iNTS) of &gt; 100 cases per 100 000 person-years of observation (PYO) for children aged &lt;15 years in Asante Akim North Municipal (AAN), Ghana, between March 2010 and May 2012. We analyzed how much these rates differed between rural and urban settings. Methods. Children recruited at the Agogo Presbyterian Hospital and meeting TSAP inclusion criteria were included in the analysis. Towns with &gt;32 000 inhabitants were considered urban; towns with populations &lt;5200 were considered rural. Adjusted IRs for Salmonella bloodstream infections were estimated for both settings. Setting-specific age-standardized incidence rates for children aged &lt;15 years were derived and used to calculate age-standardized rate ratio (SRRs) to evaluate differences between settings. Results. Eighty-eight percent (2651/3000) of recruited patients met inclusion criteria and were analyzed. IRs of Salmonella bloodstream infections in children &lt;15 years old were &gt;100 per 100 000 PYO in both settings. Among rural children, the Salmonella Typhi and iNTS rates were 2 times (SRR, 2.2; 95% confidence interval [CI], 1.3–3.5) and almost 3 times (SRR, 2.8; 95% CI, 1.9–4.3) higher, respectively, than rates in urban children. Conclusions. IRs of Salmonella bloodstream infections in children &lt;15 years old in AAN, Ghana, differed by setting, with 2 to nearly 3 times higher rates in the less populated setting. Variations in the distribution of the disease should be considered to implement future studies and intervention strategies.</description><identifier>ISSN: 1058-4838</identifier><identifier>EISSN: 1537-6591</identifier><identifier>DOI: 10.1093/cid/civ787</identifier><identifier>PMID: 26933015</identifier><language>eng</language><publisher>United States: Oxford University Press</publisher><subject>Adolescent ; Blood ; Child ; Child, Preschool ; Cohort Studies ; Female ; Ghana - epidemiology ; Humans ; Incidence ; Infant ; Infant, Newborn ; Male ; Population ; Public Health Surveillance ; Residence Characteristics - statistics &amp; numerical data ; Risk Factors ; Rural Population - statistics &amp; numerical data ; Salmonella ; Salmonella enterica ; Salmonella Infections - epidemiology ; Salmonella Infections - microbiology ; Salmonella typhi ; Surveillance ; Typhoid ; Urban Population - statistics &amp; numerical data</subject><ispartof>Clinical infectious diseases, 2016-03, Vol.62 (suppl 1), p.S17-S22</ispartof><rights>Copyright © 2016 Oxford University Press on behalf of the Infectious Diseases Society of America</rights><rights>The Author 2016. Published by Oxford University Press for the Infectious Diseases Society of America. All rights reserved. For permissions, e-mail journals.permissions@oup.com.</rights><rights>Copyright Oxford University Press, UK Mar 15, 2016</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c370t-90c4fc4cf619385c8885ffd29a45ffb30cc275f45efa33b712af71ef0b428e663</citedby><cites>FETCH-LOGICAL-c370t-90c4fc4cf619385c8885ffd29a45ffb30cc275f45efa33b712af71ef0b428e663</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.jstor.org/stable/pdf/26370275$$EPDF$$P50$$Gjstor$$H</linktopdf><linktohtml>$$Uhttps://www.jstor.org/stable/26370275$$EHTML$$P50$$Gjstor$$H</linktohtml><link.rule.ids>314,780,784,803,27924,27925,58017,58250</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/26933015$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Espinoza, Ligia M.</creatorcontrib><creatorcontrib>Nichols, Chelsea</creatorcontrib><creatorcontrib>Adu-Sarkodie, Yaw</creatorcontrib><creatorcontrib>Al-Emran, Hassan M.</creatorcontrib><creatorcontrib>Baker, Stephen</creatorcontrib><creatorcontrib>Clemens, John D.</creatorcontrib><creatorcontrib>Dekker, Denise Myriam</creatorcontrib><creatorcontrib>Eibach, Daniel</creatorcontrib><creatorcontrib>Krumkamp, Ralf</creatorcontrib><creatorcontrib>Boahen, Kennedy</creatorcontrib><creatorcontrib>Im, Justin</creatorcontrib><creatorcontrib>Jaeger, Anna</creatorcontrib><creatorcontrib>von Kalckreuth, Vera</creatorcontrib><creatorcontrib>Pak, Gi Deok</creatorcontrib><creatorcontrib>Panzner, Ursula</creatorcontrib><creatorcontrib>Park, Se Eun</creatorcontrib><creatorcontrib>Park, Jin Kyung</creatorcontrib><creatorcontrib>Sarpong, Nimako</creatorcontrib><creatorcontrib>Schütt-Gerowitt, Heidi</creatorcontrib><creatorcontrib>Toy, Trevor</creatorcontrib><creatorcontrib>Wierzba, Thomas F.</creatorcontrib><creatorcontrib>Marks, Florian</creatorcontrib><creatorcontrib>May, Jürgen</creatorcontrib><title>Variations of Invasive Salmonella Infections by Population Size in Asante Akim North Municipal, Ghana</title><title>Clinical infectious diseases</title><addtitle>Clin Infect Dis</addtitle><description>Background. The Typhoid Fever Surveillance in Africa Program (TSAP) estimated adjusted incidence rates (IRs) for Salmonella enterica serovar Typhi and invasive nontyphoidal S. enterica serovars (iNTS) of &gt; 100 cases per 100 000 person-years of observation (PYO) for children aged &lt;15 years in Asante Akim North Municipal (AAN), Ghana, between March 2010 and May 2012. We analyzed how much these rates differed between rural and urban settings. Methods. Children recruited at the Agogo Presbyterian Hospital and meeting TSAP inclusion criteria were included in the analysis. Towns with &gt;32 000 inhabitants were considered urban; towns with populations &lt;5200 were considered rural. Adjusted IRs for Salmonella bloodstream infections were estimated for both settings. Setting-specific age-standardized incidence rates for children aged &lt;15 years were derived and used to calculate age-standardized rate ratio (SRRs) to evaluate differences between settings. Results. Eighty-eight percent (2651/3000) of recruited patients met inclusion criteria and were analyzed. IRs of Salmonella bloodstream infections in children &lt;15 years old were &gt;100 per 100 000 PYO in both settings. Among rural children, the Salmonella Typhi and iNTS rates were 2 times (SRR, 2.2; 95% confidence interval [CI], 1.3–3.5) and almost 3 times (SRR, 2.8; 95% CI, 1.9–4.3) higher, respectively, than rates in urban children. Conclusions. IRs of Salmonella bloodstream infections in children &lt;15 years old in AAN, Ghana, differed by setting, with 2 to nearly 3 times higher rates in the less populated setting. Variations in the distribution of the disease should be considered to implement future studies and intervention strategies.</description><subject>Adolescent</subject><subject>Blood</subject><subject>Child</subject><subject>Child, Preschool</subject><subject>Cohort Studies</subject><subject>Female</subject><subject>Ghana - epidemiology</subject><subject>Humans</subject><subject>Incidence</subject><subject>Infant</subject><subject>Infant, Newborn</subject><subject>Male</subject><subject>Population</subject><subject>Public Health Surveillance</subject><subject>Residence Characteristics - statistics &amp; numerical data</subject><subject>Risk Factors</subject><subject>Rural Population - statistics &amp; numerical data</subject><subject>Salmonella</subject><subject>Salmonella enterica</subject><subject>Salmonella Infections - epidemiology</subject><subject>Salmonella Infections - microbiology</subject><subject>Salmonella typhi</subject><subject>Surveillance</subject><subject>Typhoid</subject><subject>Urban Population - statistics &amp; 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Nichols, Chelsea ; Adu-Sarkodie, Yaw ; Al-Emran, Hassan M. ; Baker, Stephen ; Clemens, John D. ; Dekker, Denise Myriam ; Eibach, Daniel ; Krumkamp, Ralf ; Boahen, Kennedy ; Im, Justin ; Jaeger, Anna ; von Kalckreuth, Vera ; Pak, Gi Deok ; Panzner, Ursula ; Park, Se Eun ; Park, Jin Kyung ; Sarpong, Nimako ; Schütt-Gerowitt, Heidi ; Toy, Trevor ; Wierzba, Thomas F. ; Marks, Florian ; May, Jürgen</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c370t-90c4fc4cf619385c8885ffd29a45ffb30cc275f45efa33b712af71ef0b428e663</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Adolescent</topic><topic>Blood</topic><topic>Child</topic><topic>Child, Preschool</topic><topic>Cohort Studies</topic><topic>Female</topic><topic>Ghana - epidemiology</topic><topic>Humans</topic><topic>Incidence</topic><topic>Infant</topic><topic>Infant, Newborn</topic><topic>Male</topic><topic>Population</topic><topic>Public Health Surveillance</topic><topic>Residence Characteristics - statistics &amp; numerical data</topic><topic>Risk Factors</topic><topic>Rural Population - statistics &amp; numerical data</topic><topic>Salmonella</topic><topic>Salmonella enterica</topic><topic>Salmonella Infections - epidemiology</topic><topic>Salmonella Infections - microbiology</topic><topic>Salmonella typhi</topic><topic>Surveillance</topic><topic>Typhoid</topic><topic>Urban Population - statistics &amp; numerical data</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Espinoza, Ligia M.</creatorcontrib><creatorcontrib>Nichols, Chelsea</creatorcontrib><creatorcontrib>Adu-Sarkodie, Yaw</creatorcontrib><creatorcontrib>Al-Emran, Hassan M.</creatorcontrib><creatorcontrib>Baker, Stephen</creatorcontrib><creatorcontrib>Clemens, John D.</creatorcontrib><creatorcontrib>Dekker, Denise Myriam</creatorcontrib><creatorcontrib>Eibach, Daniel</creatorcontrib><creatorcontrib>Krumkamp, Ralf</creatorcontrib><creatorcontrib>Boahen, Kennedy</creatorcontrib><creatorcontrib>Im, Justin</creatorcontrib><creatorcontrib>Jaeger, Anna</creatorcontrib><creatorcontrib>von Kalckreuth, Vera</creatorcontrib><creatorcontrib>Pak, Gi Deok</creatorcontrib><creatorcontrib>Panzner, Ursula</creatorcontrib><creatorcontrib>Park, Se Eun</creatorcontrib><creatorcontrib>Park, Jin Kyung</creatorcontrib><creatorcontrib>Sarpong, Nimako</creatorcontrib><creatorcontrib>Schütt-Gerowitt, Heidi</creatorcontrib><creatorcontrib>Toy, Trevor</creatorcontrib><creatorcontrib>Wierzba, Thomas F.</creatorcontrib><creatorcontrib>Marks, Florian</creatorcontrib><creatorcontrib>May, Jürgen</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Health and Safety Science Abstracts (Full archive)</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Toxicology Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health &amp; 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The Typhoid Fever Surveillance in Africa Program (TSAP) estimated adjusted incidence rates (IRs) for Salmonella enterica serovar Typhi and invasive nontyphoidal S. enterica serovars (iNTS) of &gt; 100 cases per 100 000 person-years of observation (PYO) for children aged &lt;15 years in Asante Akim North Municipal (AAN), Ghana, between March 2010 and May 2012. We analyzed how much these rates differed between rural and urban settings. Methods. Children recruited at the Agogo Presbyterian Hospital and meeting TSAP inclusion criteria were included in the analysis. Towns with &gt;32 000 inhabitants were considered urban; towns with populations &lt;5200 were considered rural. Adjusted IRs for Salmonella bloodstream infections were estimated for both settings. Setting-specific age-standardized incidence rates for children aged &lt;15 years were derived and used to calculate age-standardized rate ratio (SRRs) to evaluate differences between settings. Results. Eighty-eight percent (2651/3000) of recruited patients met inclusion criteria and were analyzed. IRs of Salmonella bloodstream infections in children &lt;15 years old were &gt;100 per 100 000 PYO in both settings. Among rural children, the Salmonella Typhi and iNTS rates were 2 times (SRR, 2.2; 95% confidence interval [CI], 1.3–3.5) and almost 3 times (SRR, 2.8; 95% CI, 1.9–4.3) higher, respectively, than rates in urban children. Conclusions. IRs of Salmonella bloodstream infections in children &lt;15 years old in AAN, Ghana, differed by setting, with 2 to nearly 3 times higher rates in the less populated setting. Variations in the distribution of the disease should be considered to implement future studies and intervention strategies.</abstract><cop>United States</cop><pub>Oxford University Press</pub><pmid>26933015</pmid><doi>10.1093/cid/civ787</doi></addata></record>
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subjects Adolescent
Blood
Child
Child, Preschool
Cohort Studies
Female
Ghana - epidemiology
Humans
Incidence
Infant
Infant, Newborn
Male
Population
Public Health Surveillance
Residence Characteristics - statistics & numerical data
Risk Factors
Rural Population - statistics & numerical data
Salmonella
Salmonella enterica
Salmonella Infections - epidemiology
Salmonella Infections - microbiology
Salmonella typhi
Surveillance
Typhoid
Urban Population - statistics & numerical data
title Variations of Invasive Salmonella Infections by Population Size in Asante Akim North Municipal, Ghana
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