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dc.contributor.authorRainey, Jeanette J.
dc.contributor.authorMwanda, Walter O.
dc.contributor.authorWairiumu, Priscilla
dc.contributor.authorMoormann, Ann M.
dc.contributor.authorWilson, Mark L.
dc.contributor.authorRochford, Rosemary A.
dc.date2022-08-11T08:10:40.000
dc.date.accessioned2022-08-23T17:15:50Z
dc.date.available2022-08-23T17:15:50Z
dc.date.issued2007-08-19
dc.date.submitted2010-06-08
dc.identifier.citationTrop Med Int Health. 2007 Aug;12(8):936-43. <a href="http://dx.doi.org/10.1111/j.1365-3156.2007.01875.x">Link to article on publisher's site</a>
dc.identifier.issn1360-2276 (Linking)
dc.identifier.doi10.1111/j.1365-3156.2007.01875.x
dc.identifier.pmid17697088
dc.identifier.urihttp://hdl.handle.net/20.500.14038/47259
dc.description.abstractEndemic Burkitt's lymphoma (BL) is the most common paediatric malignancy in equatorial Africa and was originally shown to occur at high-incidence rates in regions where malaria transmission is holoendemic. New ecological models of malaria that are based on both parasite prevalence and disease have been described. In this study, we examined district level data collected from paediatric BL cases in Kenya from 1988 through 1997 and assessed whether the distribution of district level incidence rates could be explained by new ecologic estimates of malaria risk. Chi-square tests and log-linear regression models were used to evaluate these associations. An association with tribe of origin as a factor also was examined. The 10-year average annual incidence rate (IR) for Kenya was 0.61 per 100,000 children. Incidence rates varied by malaria transmission intensity as follows: low malaria risk (BL IR = 0.39), arid/seasonal (0.25), highland (0.66), endemic coast (0.68), and endemic lake (1.23) (chi(2) = 11.32, P = 0.002). In a log-linear model, BL rates were 3.5 times greater in regions with chronic and intense malaria transmission intensity than in regions with no or sporadic malaria transmission (odds ratio = 3.47, 95% confidence interval = 1.30-9.30), regardless of tribe. Although crude tribe-specific incidence rates ranged between 0.0 and 3.26, tribe was not associated with BL after controlling for malaria. These findings support the aetiologic role of intense malaria transmission intensity in BL.
dc.language.isoen_US
dc.relation<a href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=pubmed&cmd=Retrieve&list_uids=17697088&dopt=Abstract">Link to Article in PubMed</a>
dc.relation.urlhttp://dx.doi.org/10.1111/j.1365-3156.2007.01875.x
dc.subjectAdolescent
dc.subjectAge Distribution
dc.subjectBurkitt Lymphoma
dc.subjectChild
dc.subjectChild, Preschool
dc.subject*Endemic Diseases
dc.subjectHumans
dc.subjectInfant
dc.subjectInfant, Newborn
dc.subjectKenya
dc.subjectMalaria
dc.subjectRegression Analysis
dc.subjectRisk Factors
dc.subjectTopography, Medical
dc.subjectBiostatistics
dc.subjectEpidemiology
dc.subjectHealth Services Research
dc.subjectImmunology and Infectious Disease
dc.subjectPediatrics
dc.titleSpatial distribution of Burkitt's lymphoma in Kenya and association with malaria risk
dc.typeJournal Article
dc.source.journaltitleTropical medicine and international health : TM and IH
dc.source.volume12
dc.source.issue8
dc.identifier.legacycoverpagehttps://escholarship.umassmed.edu/qhs_pp/400
dc.identifier.contextkey1347931
html.description.abstract<p>Endemic Burkitt's lymphoma (BL) is the most common paediatric malignancy in equatorial Africa and was originally shown to occur at high-incidence rates in regions where malaria transmission is holoendemic. New ecological models of malaria that are based on both parasite prevalence and disease have been described. In this study, we examined district level data collected from paediatric BL cases in Kenya from 1988 through 1997 and assessed whether the distribution of district level incidence rates could be explained by new ecologic estimates of malaria risk. Chi-square tests and log-linear regression models were used to evaluate these associations. An association with tribe of origin as a factor also was examined. The 10-year average annual incidence rate (IR) for Kenya was 0.61 per 100,000 children. Incidence rates varied by malaria transmission intensity as follows: low malaria risk (BL IR = 0.39), arid/seasonal (0.25), highland (0.66), endemic coast (0.68), and endemic lake (1.23) (chi(2) = 11.32, P = 0.002). In a log-linear model, BL rates were 3.5 times greater in regions with chronic and intense malaria transmission intensity than in regions with no or sporadic malaria transmission (odds ratio = 3.47, 95% confidence interval = 1.30-9.30), regardless of tribe. Although crude tribe-specific incidence rates ranged between 0.0 and 3.26, tribe was not associated with BL after controlling for malaria. These findings support the aetiologic role of intense malaria transmission intensity in BL.</p>
dc.identifier.submissionpathqhs_pp/400
dc.contributor.departmentDepartment of Pediatrics
dc.contributor.departmentDepartment of Quantitative Health Sciences
dc.source.pages936-43


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