A longitudinal cohort study of malaria exposure and changing serostatus in a malaria endemic area of rural Tanzania

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dc.contributor.authorSimmons, Ryan A.
dc.contributor.authorMboera, Leonard
dc.contributor.authorMiranda, Marie L.
dc.contributor.authorMorris, Alison
dc.contributor.authorStresman, Gillian
dc.contributor.authorTurner, Elizabeth L.
dc.contributor.authorKramer, Randall
dc.contributor.authorDrakeley, Chris
dc.contributor.authorO’Meara, Wendy P.
dc.date.accessioned2017-08-21T07:23:10Z
dc.date.available2017-08-21T07:23:10Z
dc.date.issued8/2/2017
dc.date.updated2017-08-21T07:23:09Z
dc.description.abstractAbstract Background Measurements of anti-malarial antibodies are increasingly used as a proxy of transmission intensity. Most serological surveys are based on the use of cross-sectional data that, when age-stratified, approximates historical patterns of transmission within a population. Comparatively few studies leverage longitudinal data to explicitly relate individual infection events with subsequent antibody responses. Methods The occurrence of seroconversion and seroreversion events for two Plasmodium falciparum asexual stage antigens (MSP-1 and AMA-1) was examined using three annual measurements of 691 individuals from a cohort of individuals in a malaria-endemic area of rural east-central Tanzania. Mixed-effect logistic regression models were employed to determine factors associated with changes in serostatus over time. Results While the expected population-level relationship between seroprevalence and disease incidence was observed, on an individual level the relationship between individual infections and the antibody response was complex. MSP-1 antibody responses were more dynamic in response to the occurrence and resolution of infection events than AMA-1, while the latter was more correlated with consecutive infections. The MSP-1 antibody response to an observed infection seemed to decay faster over time than the corresponding AMA-1 response. Surprisingly, there was no evidence of an age effect on the occurrence of a conversion or reversion event. Conclusions While the population-level results concur with previously published sero-epidemiological surveys, the individual-level results highlight the more complex relationship between detected infections and antibody dynamics than can be analysed using cross-sectional data. The longitudinal analysis of serological data may provide a powerful tool for teasing apart the complex relationship between infection events and the corresponding immune response, thereby improving the ability to rapidly assess the success or failure of malaria control programmes.
dc.identifier.citationSimmons, Ryan A., Mboera, Leonard, Miranda, Marie L., et al.. "A longitudinal cohort study of malaria exposure and changing serostatus in a malaria endemic area of rural Tanzania." (2017) BioMed Central: http://dx.doi.org/10.1186/s12936-017-1945-2.
dc.identifier.doihttp://dx.doi.org/10.1186/s12936-017-1945-2
dc.identifier.urihttps://hdl.handle.net/1911/97361
dc.language.isoeng
dc.publisherBioMed Central
dc.rights.holderThe Author(s)
dc.titleA longitudinal cohort study of malaria exposure and changing serostatus in a malaria endemic area of rural Tanzania
dc.typeJournal article
dc.type.dcmiText
dc.type.publicationpublisher version
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